Antibiotic Resistance

Most clinical antibiotic resistance is a gene moved between bacteria or a part of the cell broken, and resistance genes existed before 1940. But the TEM extended-spectrum beta-lactamases are a real gain built by five point mutations, and the fitness cost the creationist argument leans on is real but routinely compensated.

By AI (Claude Fable 5.1, extra-high thinking); strengthening review by Claude Opus 5.5, thinking level unavailable Draft:  September 2026

"Resistance can emerge relatively quickly in the case of some mutations in target genes … however, resistance to most antibiotics occurs through the aegis of extremely efficient enzymes, efflux proteins and other transport systems that often are highly specialized towards specific antibiotic molecules." — Kirandeep Bhullar and colleagues, PLoS ONE, 20121

Summary

Antibiotic resistance is the most-cited example of evolution caught in the act.  Sorting the cases by mechanism changes the picture, but it does not make the example go away.

  1. Resistance reaches a bacterium by four routes. A gene arrives from another bacterium; a resistant cell was already in the population; something in the cell breaks or is turned down; or an existing protein is changed. This article scores each route with the four classes in Measuring Biological Information: transfer, loss, gain and modification.
  2. Most clinical resistance is transfer or damage, and the creationist literature is right about that. mecA in MRSA came from another Staphylococcus species. vanA matches genes in soil Paenibacillus. Colistin resistance moved onto a plasmid called mcr-1. The commonest extended-spectrum beta-lactamases in hospitals today, the CTX-M enzymes, are a chromosomal gene of the gut and soil bacterium Kluyvera that was moved onto mobile DNA at least nine times, and that already attacked cefotaxime before it moved.2 2 Where resistance arises by mutation, the commonest mechanisms are a lost porin, a broken repressor, or a target protein that no longer binds the drug.
  3. Transfer is vastly cheaper than mutation, and the numbers show why. Conjugation moved the mcr-1 plasmid into between one in ten and one in a thousand recipient cells.3 Max Demerec measured the penicillin-resistance mutation rate in Staphylococcus aureus at about one in 10⁸ cells per generation, in 1948.4 Transfer beats mutation by five to seven orders of magnitude per cell.
  4. Resistance genes existed before anyone made an antibiotic. The best evidence needs no deep time at all. NCTC 1 is a dysentery bacterium taken from a British soldier in 1915, thirteen years before Alexander Fleming saw his first mould. It is resistant to penicillin and erythromycin.5
  5. But high-level resistance was in the soil, not in the pathogens. The Murray Collection holds 683 strains of gut bacteria gathered between 1917 and 1954.6 Its strains carried resident resistance genes on their own chromosomes, as NCTC 1 did.6 Naomi Datta's team found transferable plasmids in them that carried no resistance.7 Tara Houndt and Howard Ochman tested the Murray E. coli against five drugs: none had high-level resistance except one probable contaminant, against about 20% of modern strains.8 Both halves are true and the creationist articles quote only the first.
  6. Some antibiotic resistance is a real gain, and this site says so. Five point mutations turn TEM-1 beta-lactamase into an enzyme about 46,000 times more resistant to cefotaxime.9 Every one of the five changes an existing sequence. None of them knocks anything out, though the key substitution makes the enzyme about ten times less efficient on ampicillin and less stable, and a second substitution repays the stability.10 10 The word gain is used here in its plain sense: the cell can do something it could not do before, and lost nothing to get it. In the scoring of Measuring Biological Information the class is modification, because an existing enzyme was changed and no new coded element was added. Miriam Barlow and Barry Hall then evolved the same substitutions in a flask.11 Calling that a loss requires a definition that carries the conclusion.
  7. The fitness cost is real, large enough to matter, and often erased. A meta-analysis of 179 measured resistance mutations found mean relative fitness 0.880, a cost of about 12%.12 With no drug and no further mutation, that cost would cut a resistant strain from half of a population to 1% in about 55 generations.13 Some mutations cost nothing. Trimethoprim resistance mutations averaged better than the ancestor with no drug present. Dan Andersson and Diarmaid Hughes conclude that resistance is not expected to go away if prescribing falls.14
  8. The ledger, where it can be run, is small. One step per 10⁸ cells buys one substitution. Two steps at once is one in 10¹⁶, which Demerec priced at one double mutant in ten litres of packed bacteria.4 The five-step beta-lactamase was never found that way by anybody; it was assembled step by step in the clinic over decades of selection, and the laboratory reached it with libraries of 1.3 million clones per round.11

The verdict.  Antibiotic resistance is real evolution.  Most of it is not construction.  A small, well-documented part of it is, and the site concedes that part rather than defending a universal claim that its own sources refute.

Part 1: Four routes to a resistant bacterium

Michael Behe, writing for general readers in 2019, sorted antibiotic resistance into three kinds, and his list is a good place to start because it comes from the design side:

"(1) the bug acquires a brand-new gene that allows it to neutralize the antibiotic, which would be categorized as a molecular gain-of-FCT; (2) a control region that normally turned off a bacterial gene that could already inactivate the drug to a small extent breaks, allowing the gene to be active all the time, which would actually be a molecular loss-of-FCT (because the control region no longer works); or (3) a single amino-acid residue of a bacterial protein that interacts with the drug, leading to the death of the bug, is substituted by another kind of amino acid that blocks the drug from working; that would be classified as a modification-of-function."15

Measuring Biological Information makes one change to that scheme.  Behe scores an acquired gene as a gain, and for the bacterium it is.  But the series is measuring how much working sequence mutation and selection originate, and a gene that arrived from somewhere else was originated somewhere else.  So transfer is a fourth class of its own.  A fifth thing also has to be separated out, because it is not a mutation at all:  sometimes the resistant cell was simply already there.

Route one: the gene arrives from another bacterium

Jose Munita and Cesar Arias give the three ways this happens:  "transformation (incorporation of naked DNA), ii) transduction (phage mediated) and, iii) conjugation (bacterial “sex”)."16  The genes travel on plasmids, transposons and integrons, and they cross species lines.

The clinical headliners are all transfers.  Methicillin resistance in Staphylococcus aureus comes from mecA, which encodes a penicillin-binding protein with low affinity for beta-lactams, carried on a cassette called SCCmec, and which probably came from Staphylococcus sciuri.16  Vancomycin resistance in enterococci comes from the vanHAX operon, and "Genes nearly identical to those of the vanA gene cluster (the most prevalent in clinical enterococcal strains) have been found in soil organisms such as Paenibacillus thiaminoluticus".16  The CTX-M extended-spectrum beta-lactamases trace back to a chromosomal gene in Kluyvera ascorbata, a harmless soil and water bacterium.17

The most recent of the famous cases is the clearest.  Colistin is a last-resort drug for bacteria that resist everything else.  Until 2015 the only known resistance to it was chromosomal mutation.  Then Yi-Yun Liu's team, running routine surveillance on E. coli from Chinese pigs, found a plasmid gene they named mcr-1.  "Until now, polymyxin resistance has involved chromosomal mutations but has never been reported via horizontal gene transfer."3  They found it in 21% of 804 animals sampled.3

Score:  transfer.  New sequence originated in the receiving lineage:  zero.  The creationist objection here is exactly right, and both sides say the same thing.  Georgia Purdom:  "No new DNA is generated (a requirement for molecules-to-man evolution), it is just moved around."18  Kevin Anderson:  "Horizontal transfer, though, does not account for the origin of resistance genes, only their spread among bacteria."19  Nothing in the mainstream literature disagrees.  Munita and Arias call the environment "a prolific source for the acquisition of antibiotic resistance genes" and that is a statement about where the genes come from, not about where they came from originally.16

Route two: the resistant cell was already in the population

In 1943 Salvador Luria and Max Delbrück showed that bacterial resistance to a virus arises before the virus is applied, by measuring how the number of resistant colonies varies between parallel cultures.20  Five years later Max Demerec did the same thing for antibiotics.  His conclusion:

"resistance to certain concentrations of penicillin or streptomycin originates through mutation, and that resistant bacteria may be found in any large population, the proportion depending on the mutation rate"4

That sentence contains both sides of the argument.  The resistant cells are already there when the drug arrives, which is what Carl Wieland means by "the information to resist the antibiotic was already there in the bacterial population—it did not arise by itself, or in response to the antibiotic."21  And they are there because mutation put them there, at a measurable rate, in the generations before the drug arrived.

Score:  not a separate class.  Standing variation is a statement about timing, not about mechanism.  The mutation that made the resistant cell still has to be scored, as a loss, a gain or a modification.  Treating "it was already there" as an answer to the origin question just moves the question back a few generations.

Route three: something breaks, or is turned down

This is the largest class by mechanism, and the creationist literature has documented it more carefully than the popular pro-evolution accounts.

Kevin Anderson's 2005 paper in the Creation Research Society Quarterly is the best version.  His Table I lists fourteen antibiotics with the mechanism of resistance to each, and every single entry is a loss or a reduction:  loss of enzyme activity for actinonin, reduced formation of a porin for chloramphenicol, imipenem and tetracycline, loss of a regulatory protein for azithromycin and nalidixic acid, loss of affinity to RNA polymerase for rifampicin, loss of proton motive force for zwittermicin A.19

The mainstream reviews agree on the mechanisms.  Munita and Arias give the porin case:  "One classic example of porin-mediated resistance is the aberrant production of OprD in P. aeruginosa, which is normally used for the uptake of basic amino acids and antibiotics (i.e., imipenem, a potent anti-pseudomonal antibiotic from the carbapenem class)."16  Losing the door keeps the drug out.  Don Batten adds the case of fosfomycin, which rides into the cell on a nutrient transporter:  "Mutations in the genes that specify how the cell makes the transporters, or in regulator genes that stimulate their production, can result in no transporters, or less effective transporters."22

A second family of losses works by removing a brake.  Efflux pumps push toxins out of the cell, and their production is held down by repressor proteins.  Break the repressor and the pumps run flat out.  Anderson describes the mar system in E. coli and draws the conclusion:  "a mutation that causes loss of regulatory control (in this case the repressor protein, MarR) does not offer a genetic mechanism that can account for the origin of this regulatory control."19

A third family removes the enzyme that turns a prodrug into a drug.  Metronidazole does nothing until a bacterial nitroreductase activates it.  Knock out rdxA and the drug stays inert.  Anderson:  "All these mutations result in loss of the enzyme activity necessary for the drug to be effective in the cell, hence the cell becomes resistant to metronidazole.  But, loss of enzymatic activity does not provide a genetic example of how that enzyme originally “evolved.”"19  The same logic covers outright losses of katG in tuberculosis.  The commonest isoniazid-resistance allele is different:  it keeps most of the enzyme's activity and lowers only the side reaction that activates the drug.  Mycobacterium tuberculosis gives the measurements.

Score:  loss.  New sequence originated:  negative.  And this is not a creationist reading of a mainstream result.  It is what the experiments say.  When Michael Baym's team sequenced 251 E. coli isolates that had evolved trimethoprim resistance on a giant agar plate, they found "three genes not classically associated with trimethoprim resistance were repeatedly mutated, often with a probable loss of function (frameshift or nonsense): a phosphate transporter (pitA), shikimate kinase I (aroK), and a negative regulator of the PhoQP system (mgrB).  Knockout of these genes in the ancestral strain confirmed their resistance phenotypes".23  They built the knockouts and the knockouts were resistant.  That is as direct a demonstration as the loss argument could ask for.

Route four: an existing protein is changed

Here the picture splits, and the split is the substance of this article.

Most of the cases in this class are a target protein losing its grip on the drug.  Rifampicin binds a pocket in the beta subunit of RNA polymerase.  A point mutation in rpoB changes the pocket.  Munita and Arias:  "while these mutations result in decreased affinity of the drug for its target, they usually spare the catalytic activity of the polymerase, permitting transcription to continue".16  Anderson, from his own bench, says the same thing and draws the conclusion:

"In my laboratory, we routinely obtain mutant strains with a resistance level that is orders of magnitude greater than that of the wild-type strain.  When rifampin is present, this mutation provides a decided advantage for survival compared with those cells lacking these specific mutations.  But, each of these mutations eliminates binding affinity of RNA polymerase for the rifampin."19

Fluoroquinolone resistance works the same way through gyrA, streptomycin resistance through the ribosome and rpsL.  In each case a binding site gets worse at binding.  Score:  modification, down.  New sequence originated:  the substitution is one nucleotide, and the direction is downward, so the nucleotide conversion rule of the taxonomy article gives zero.

But one large group of cases in this class runs the other way, and Part 3 is about it.

What nobody has measured

A reader will want to know what share of clinical resistance each route accounts for.  No source read for this article gives that number, and this article does not invent one.  The share would depend on the organism, the drug, the country and the year.  What can be said is narrower and still useful:  for the drugs whose resistance is carried on mobile elements, such as methicillin, vancomycin, the extended-spectrum cephalosporins and colistin, transfer dominates, because transfer is cheap.  For rifampicin and the fluoroquinolones, mutation dominates, because those targets are chromosomal and a single substitution suffices.

The nearest thing to a ranking comes from the largest count of resistance deaths, the 2019 Global Research on Antimicrobial Resistance study.  It estimated 1.27 million deaths caused by resistant bacteria that year, and named the seven deadliest pairings of germ and drug:  "meticillin-resistant S aureus, caused more than 100 000 deaths attributable to AMR in 2019, while six more each caused 50 000–100 000 deaths".24  The study does not sort them by mechanism.  Sorting them with the mechanism reviews gives four carried mainly by acquired genes (MRSA, the two cephalosporin-resistant pairings, and carbapenem-resistant Klebsiella), one probably so (carbapenem-resistant Acinetobacter), and two by chromosomal mutation (multidrug-resistant tuberculosis and fluoroquinolone-resistant E. coli).25  That is a ranking, not a measured share, but it points the same way as the cheapness of transfer.

Part 2: Resistance genes are older than antibiotics

This is the strongest argument the creationist side makes on this topic, and it is correct.  It needs to be stated carefully, because two different claims are usually run together.

The claim that is established

Resistance genes existed before humans made or prescribed antibiotics.  Four independent lines support it.

A dysentery bacterium from 1915.  NCTC 1 is the first isolate ever accessioned into the United Kingdom's National Collection of Type Cultures:  a Shigella flexneri taken from a British soldier with dysentery on the Western Front.  Kate Baker's team sequenced it in 2014 and tested it against modern drugs.  "The NCTC1 accession card reported resistance to erythromycin and penicillin in tests done in the 1950s (figure 3).  These phenotypes were confirmed as part of this study, with NCTC1 having MICs of 16 mg/L and 24 mg/L for these compounds respectively."5  The genes are chromosomal:  an ampC beta-lactamase "widely conserved throughout many Enterobacteriacae" and a three-part efflux pump.5  The conclusion is stated in the paper:  "We show that this 1915 isolate, from before the discovery of penicillin, has intrinsic resistance to antimicrobials."5  This case rests on a museum accession record.  No dating method is involved and no reader has to accept anything about deep time.

MRSA on hedgehogs.  Jesper Larsen's team sequenced about a thousand mecC-carrying MRSA genomes and found that several lineages "probably originated in the early-to-late 1800s, long before the first β-lactam—penicillin G—became widely available as a therapeutic option in the 1940s."26  They also found the reason.  European hedgehogs carry a skin fungus, Trichophyton erinacei, which "produces two β-lactam antibiotics that provide a natural selective environment in which methicillin-resistant S. aureus isolates have an advantage over susceptible isolates."26  The date comes from a molecular clock, so it is an inference, but the clock runs over two centuries, not two billion years.

A sealed cave.  Kirandeep Bhullar's team cultured 93 bacterial strains from three deep sites in Lechuguilla Cave in New Mexico and tested them against 26 antimicrobials.  "In the collection of 33 Gram-positive strains, on average, 70% of the strains were resistant to 3–4 different antibiotic classes.  Three strains were resistant to 14 antibiotics, all of which were Streptomyces spp."1  A follow-up study took one isolate, Paenibacillus sp. LC231, sequenced it, and mapped 18 chromosomal resistance elements, five with no known relative.27

Permafrost DNA.  Vanessa D'Costa's team pulled DNA from frozen Yukon sediment and recovered fragments of a beta-lactamase, a tetracycline resistance gene, and a complete vancomycin resistance operon.  They synthesised four of the ancient vanA reading frames, expressed two, and found the enzymes worked:  "These results clearly show that the vanHAX genes identified in the ancient samples encode enzymes capable of genuine antibiotic resistance."28

How each age claim was established, and where the article stops

The Lechuguilla and permafrost ages depend on methods a young-earth reader rejects, so they have to be reported honestly and then set aside.

D'Costa's 30,000 years is stratigraphic, not direct.  The cores came from 50 cm below a volcanic ash layer, and "The tephra has been dated at several sites in the area to about 25,300 radiocarbon (14C) years BP, or about 30,000 calendar years".28  The sediment itself was not radiocarbon dated.  The claim that it never thawed is cryostratigraphic:  ice wedges are preserved above and below.28

Bhullar's 4 to 7 million years is geological and comes from other papers, not from measurements in that one:  the cave formed by rising sulfuric acid "in the last 7 million years", the deep parts were cut off as the aquifer dropped, and an impermeable caprock "limits vadose water from entering the system".1

Neither age matters to the argument.  What the argument needs is that the deep cave and the frozen sediment had no contact with pharmaceutical antibiotics, and both papers establish that by ordinary means:  the cave's caprock and its 20-year access closure, the permafrost's intact ice, the GFP-tagged contamination controls, over 300 control reactions, and the absence of any of the sequences from GenBank.28  Say "these genes are not a product of the clinic" and stop.  Do not say "resistance is 30,000 years old" on a site that does not accept the date.

The claim that is not established, and the trap in it

"Resistance genes predate antibiotics" answers the claim that resistance genes appeared after 1940.  It does not answer the question of where the genes came from.

Antibiotics are not human inventions.  They are chemical weapons that soil bacteria and fungi make against each other.  Julie Perry, Nicholas Waglechner and Gerard Wright put it plainly:  "The origin of many modern resistance genes in pathogens is likely environmental bacteria, including antibiotic producing organisms that have existed for millennia."29  They report that "most Streptomyces are resistant to an average of seven to eight antibiotics, including newly developed and clinically important therapeutics."29  A bacterium that makes an antibiotic has to survive the antibiotic it makes.

So the finding that resistance genes are old is what both models predict.  It refutes the popular claim that resistance evolved from nothing since 1940.  It does not show that the genes were designed rather than evolved, and it does not show that they were evolved rather than designed.  On this question the evidence is silent because nobody has watched an enzyme or pump of the kind found in soil originate.  The one laboratory case of resistance arising from random sequence, discussed in Part 3, works by a different and much simpler route.

And the counterweight the creationist articles leave out

In 1983 Naomi Datta and V. M. Hughes went through the Murray Collection, strains of gut bacteria that E. G. D. Murray gathered between 1917 and 1954, before and during the introduction of antibiotics.  About a quarter of the strains carried machinery for moving DNA, and the plasmids they moved carried no resistance:

"E.D.G. Murray collected strains of Enterobacteriaceae from 1917 to 1954; we now report that 24% of these encode information for the transfer of DNA from one bacterium to another.  From at least 19% of the strains, conjugative plasmids carrying no antibiotic resistance were transferred to Escherichia coli K-12."7

That abstract does not say that no Murray strain was resistant, and they were not all susceptible.  Kate Baker's team sequenced 370 of the collection's 683 strains in 2015.6  They note that "AMR has been reported in the pre-antibiotic era Murray Collection strains, including tetracycline resistance in Proteus sp., ampicillin resistance in the Klebsiella and both ampicillin and kanamycin resistance in Escherichia sp.", and their genome search found "many resistance genes (often known to be chromosomally encoded) that were present across all members of a genus".6  These are the same kind of resident, low-level genes as NCTC 1's ampC.

What the old strains lacked was high-level resistance.  Tara Houndt and Howard Ochman measured five drugs against Murray E. coli, which they describe as taken mostly from human infections, and against two modern collections.  High-level here means resisting roughly 50 µg/ml or more.  "All of the pre-antibiotic era strains were susceptible to high levels of these antibiotics, whereas 20% of strains from contemporary populations of Escherichia coli and Salmonella enterica displayed high-level resistance to at least one of the antibiotics."8  The one exception they found, Murray strain 125, "was probably a contaminant".8

D'Costa's own abstract names this as the standard view being challenged:  "this view is reinforced by the fact that collections of microbes that predate the antibiotic era are highly susceptible to antibiotics".28

Put these together and the correct statement is precise.  The pathogens carried their own chromosomal genes, which give low-level resistance.  The genes for high-level, transferable resistance were in the soil.  The delivery system, conjugative plasmids, was already in the pathogens.  What antibiotics did was load the third with the second.  Munita and Arias describe exactly this:  mutation and transfer are the two routes, and the environmental resistome is where the transferred genes come from.16 16  An article that quotes only the pre-1940 evidence and not the Murray Collection is quoting half a result.

A claim that should not be repeated

Three creationist articles say resistant bacteria were recovered from the frozen bodies of polar explorers.  Carl Wieland:  "Bacteria revived from the frozen intestines of explorers who died in polar expeditions carried resistance to several modern antibiotics, which had not been invented when the explorers died."21  Don Batten and Georgia Purdom repeat it.

The claim traces to a real piece of work:  K. Kowalewska-Grochowska and colleagues at the University of Alberta presented "Isolation and sensitivities of century-old bacteria from the Franklin expedition" at a conference in Los Angeles on 24 October 1988.  It was never published as a paper, and the conference abstract could not be obtained.  Wieland's own footnote is not to it but to a trade newspaper story about it.  Purdom's footnote points to an Apologetics Press article that, when retrieved from the Internet Archive and read in full, does not mention the Arctic at all.  The details are in quarantine.md.

Nothing is lost by dropping it.  NCTC 1 makes the same point with a published genome, a museum accession record, measured MICs and named genes.

Part 3: The case that is a real gain

The claim this article concedes is narrow and specific.  Here is the evidence for it.

What Weinreich's team did

TEM-1 is the commonest beta-lactamase in Gram-negative bacteria.  It hydrolyses penicillins well and third-generation cephalosporins such as cefotaxime very badly.  Five changes turn it into an enzyme that handles cefotaxime:  four amino-acid substitutions (A42G, E104K, M182T, G238S) and one change in the control region upstream of the gene (g4205a), which raises expression about 2.5-fold.

Daniel Weinreich, Nigel Delaney, Mark DePristo and Daniel Hartl built all 32 combinations of those five changes and measured each one's cefotaxime resistance in E. coli.30  Their Table 1 gives the numbers.  TEM-1 is inhibited at 0.088 µg/ml.  The quintuple mutant is inhibited at 4.1 × 10³ µg/ml.30  That is a factor of about 46,000.9

The paper's headline result is about paths, not about the gain.  Of the 120 possible orders in which five mutations could accumulate, "102 of the 120 mutational trajectories from TEM wt to TEM* are selectively inaccessible," because four of the five mutations make things worse on some backgrounds.30  Half of all realisations follow only four paths, or two under a more realistic model.30

Why this is a gain and not a loss

Four features of the case, each checkable against the paper.

Nothing was knocked out.  G238S changes a residue in the substrate pocket.  M182T stabilises the protein.  The other three tune the enzyme and its expression.  None of them is a frameshift, a nonsense mutation, a deleted porin or a broken repressor.

The landscape has one peak and the first step is uphill.  "TEM* exhibits the highest resistance and, because at least one mutation increases resistance in all other alleles, the fitness landscape is single-peaked".30  G238S alone raises the MIC from 0.088 to 1.4 µg/ml, sixteen-fold, so the path needs no neutral first step.31

The same mutations happen in the wild, and in a flask.  Miriam Barlow and Barry Hall mutated TEM-1 at about two mutations per copy, built nine libraries averaging 1.3 million clones, and selected for extended-spectrum resistance.11  The result:  "Nine mutations have arisen independently multiple times in nature: L12F, E104K, R164S, R164H, M182T, A237T, G238S, E240K, and T265M.  Seven of those, E104K, R164S, R164H, M182T, G238S, E240K, and T265M, were recovered during our in vitro evolution experiments".11  Their conclusion:  "in vitro evolution with the Mutazyme polymerase recovers substantially the same mutations that are selected in nature."11  They predicted that resistance to cefepime, not then seen in nature, was likely to evolve.11

The trade-off is a trade-off, not a loss.  G238S does cost something:  it increases aggregation and lowers thermodynamic stability, and M182T is needed to pay that back.30  The old activity pays too, and the amount is measured.  Timothy Palzkill, a Baylor College of Medicine biochemist who has published TEM mutant studies himself, summarises the kinetics:  "While the G238S substitution increases the rate of cefotaxime and ceftazidime hydrolysis, it significantly decreases the rate of hydrolysis of penicillins.  For example, kcat/KM for ampicillin hydrolysis is reduced 10-fold compared to wild-type TEM-1 while kcat is decreased ~50-fold".10  E104K, by contrast, "has little effect on the hydrolysis of penicillins".10  M182T is a repair:  it "compensates for TEM ESBL substitutions that trade off protein stability for improved oxyimino-cephalosporin hydrolysis".10  So of the five changes, one trades away some penicillin activity and some stability, one pays the stability back, and one raises expression.

That is the shape Kevin Anderson and Georgia Purdom predicted in 2008, when they called resistance mutations "a very clear example of antagonistic pleiotropy".32  The design side is right that the new activity was bought with a measurable loss.  It is wrong if it calls the result a loss overall.  The key substitution costs the enzyme about tenfold in efficiency on ampicillin, which it still hydrolyses, while the five changes together raise the cell's cefotaxime resistance about 46,000-fold.  The two numbers measure different things, an enzyme rate and a whole-cell dose, but the difference in scale is not in doubt.  That is what the taxonomy article calls a modification, shifted when the old activity is lost, and a gain when a new activity appears that was not there before.  TEM* keeps its old activity in reduced form and adds a new one.

Where this article agrees and disagrees with the taxonomy article

Measuring Biological Information scores this case as modification, shifted, with five new nucleotides.  This article agrees with that score and adds one qualification the taxonomy article could not make, because its writer had only the abstract.

The qualification is that the five changes are not five substitutions in a protein.  Four are;  the fifth, g4205a, is in a non-coding control region and works by raising expression.30  So the nucleotide count of four coding changes plus one regulatory change is the honest version, and an article that prints "five substitutions in an enzyme" is slightly wrong.

The taxonomy article also scores CTX-M on plasmids as transfer, with zero new sequence in the receiver.  This article agrees, and the case histories above support it:  the Kluyvera origin is inferred from sequence identity of 95 to 100%.17

This matters more than the taxonomy article says, because CTX-M is now the ESBL that counts.  Rafael Cantón, José María González-Alba and Juan Carlos Galán:  "Phylogenetic analyses suggest that CTX-Ms were not originated by mutations from previous plasmid meditated enzymes but through mobilization of chromosomal bla genes from Kluyvera spp. … These original mobilized blaCTX-Ms genes affected cefotaxime to a higher degree than ceftazidime."2  The extended-spectrum activity was there before the gene moved.  TEM and SHV variants "were predominant in the ESBL landscape over the 1980s and 1990s", but since then "the CTX-M enzymes have nearly displaced other ESBLs enzymes in Enterobacteriaceae, including TEM and SHV ESBL variants".2 2  Munita and Arias agree:  "CTX-M enzymes have become the most prevalent ESBL worldwide and are responsible for a large proportion of cephalosporin resistance in E. coli and K. pneumoniae."16  So the beta-lactamase gain this article concedes is real, but in today's hospitals the commonest extended-spectrum enzyme is a moved gene, not a built one.  That is a fair point for the design side.

It has a limit, and the same paper states it.  CTX-M enzymes were then tuned toward a second drug, ceftazidime, by point mutation.  CTX-M-15, now found worldwide, differs from its relative CTX-M-3 "in only one amino acid position (D240G)".2  Cantón's own laboratory selected ceftazidime-resistant variants carrying "A77V, P167S, and D240G", and "These changes have been described in the nature".2  So the dominant family was moved, then improved by the same kind of single-step change as TEM, one substitution at a time.  Each such step is a modification, shifted.

The strongest creationist statement, and why it fails

Kevin Anderson's summary paragraph makes a universal claim:

"Spontaneous mutation does provide a potential genetic mechanism for the origin of these genes, but such an origin has never been demonstrated.  Instead, all known examples of antibiotic resistance via mutation are inconsistent with the genetic requirements of evolution."19

The second sentence is false, and it was false when it was written.  The words "extended-spectrum", "ESBL", "TEM" and "penicillinase" do not appear anywhere in Anderson's paper.  He cites Barlow and Hall's 2002 paper in the Journal of Molecular Evolution and quotes its page 314, so he had been reading that pair of authors.  He does not cite their other 2002 paper, in Genetics, which is the one that evolved TEM-1 into extended-spectrum enzymes in a flask.  Weinreich's measurements came out the following year.

Purdom's version of the claim fails for the same reason:  "Mutation and natural selection, thought to be the driving forces of evolution, only lead to a loss of functional systems."18

Neither author stayed at the universal version.  In 2008 Anderson and Purdom wrote a joint paper for the International Conference on Creationism that opens by criticising their own side:  "creationists have tended to offer an inconsistent or incomplete perspective of “beneficial mutations” within a creation framework.  This includes the frequent denial that mutations can ever provide a beneficial phenotype".32  On resistance their wording is now "typically", not "all":  "a significant number also result from point mutations. … these mutations typically reduce or inactivate cellular systems or functions."32  That later statement is the one a reader should hold them to, and the TEM evidence above does not refute it.

The same paper gives the creationist answer to an enzyme that takes on a new substrate.  Discussing nylon-eating bacteria, it says:  "Nonetheless, reduced specificity of a pre-existing enzyme is biochemically degenerative to the enzyme, even if it provides a presumed phenotypic benefit."32  Applied to TEM, that answer is half right.  The ESBL substitutions do cost penicillin activity and stability, as Part 3 measured.  But calling a 46,000-fold gain in resistance "degenerative" because the enzyme now works on more substrates is a choice of definition, the same move as Batten's in 2001 below, and it is not a measurement.  Wieland's too:  "In no case is there any evidence of an information-adding, 'uphill' change."21

The creationist statement that survives

Don Batten's 2017 article states the claim narrowly, and the narrow version stands:

"It might appear that a bacterium faced with an antibiotic and then acquiring such an ability would be a great example of evolution—a new enzyme; a new gene.  However, in the instances known, the machinery to manufacture the antibiotic-destroying enzyme has never been observed to arise by mutation."22

Nothing in this article's sources contradicts that.  No beta-lactamase gene has been watched arising from DNA that was not a gene.

The nearest challenge is a 2019 experiment from Dan Andersson's laboratory, and a skeptic should know it.  Michael Knopp's team expressed random open reading frames in E. coli, libraries with "a total diversity of 5.82 × 10⁸", and selected for survival on aminoglycoside antibiotics.33  "Selections on antibiotic-containing agar plates resulted in the identification of three peptides that increased aminoglycoside resistance up to 48-fold."33  That is resistance from sequence that was not a gene, and it should not be waved away.

But the mechanism is the damaging kind.  The peptides lodge in the membrane and partly discharge its voltage, so less drug is pulled in.  The authors selected ordinary resistant mutants on the same plates for comparison:  "Whole-genome sequencing of six clones showed that all had mutations in genes associated with electron transport and generation of membrane potential", and adding the peptide Arp1 to those mutants raised their resistance no further, "indicating that the chromosomal mutations and peptides act by a similar mechanism (i.e., reduction in membrane potential)".33  So random sequence reached exactly the level that breaking the respiratory chain reaches, by doing the same thing to the membrane.  It did not destroy the antibiotic, pump it out or reshape its target.  The peptides were also made from an inducible laboratory promoter on a plasmid, not found in a genome.  Batten's narrow claim survives the experiment.  A broad claim that random sequence can never confer resistance does not.  TEM* is an enzyme that already hydrolysed beta-lactams, retuned to a new substrate.  The distinction between "a new gene" and "an old gene doing something new" is the whole argument, and Batten draws it correctly.

Batten's 2001 article goes further and predicts the shape of the result:

"An enzyme is highly specialized to break down one specific type of chemical very well, and hardly affect other chemicals.  A mutation could reduce its specificity, i.e. it no longer does its main job so well, and affects other chemicals to some extent too.  Normally, a biological system with such a mutation would not function as well, and reduced specificity is reduced information by definition."34

That describes the TEM case accurately, up to the last clause.  "Reduced specificity is reduced information by definition" is a definitional move, not a measurement.  TEM* is 46,000 times better at cefotaxime.  Whether that counts as information depends entirely on which definition is adopted before the evidence is looked at, which is the problem Measuring Biological Information exists to solve.

Two more cases worth naming

The megaplate.  Michael Baym's team built a 120 × 60 cm tray of agar in bands of rising antibiotic concentration and filmed E. coli crossing it.23  Resistance rose 10,000-fold for trimethoprim in ten days and 100,000-fold for ciprofloxacin in twelve.23  The video is the most widely shared demonstration of evolution ever made.

The sequencing is less advertised and more interesting.  The most-mutated gene was the drug's own target, folA.23  Three other repeatedly-hit genes were knockouts confirmed by construction.23  A mutator phenotype "emerged at least six times independently", every time by a mutation in dnaQ, the proofreading subunit of DNA polymerase III.23  Breaking the proofreader raises the mutation rate, which helps under strong selection and is damage.  Nothing new was built on that plate.  It is a very good film of routes three and four.

A result that cuts against the ledger's tidiness.  Baym's team also found that "Mutations that increased resistance often came with a cost of reduced growth, which was subsequently restored by additional, compensatory, mutations".23  The cost appeared and then was paid off, inside a twelve-day experiment.

Part 4: What resistance costs

The fitness-cost argument is the second pillar of the creationist case, and it is the one that has worn worst.

What the measurements say

Anita Melnyk, Alex Wong and Rees Kassen assembled every published measurement of the fitness effect of a chromosomal resistance mutation that used a competition assay rather than a growth-rate comparison.  That gave 179 measurements, 121 unique mutations, 8 species, 16 antibiotics.12  The result:

"We found a significant fitness cost of resistance mutations (mean fitness = 0.880, z = 129.3, P < 0.0001)."12

A mean relative fitness of 0.880 is a cost of about 12%.  Melnyk's team measure fitness as doublings:  the resistant strain doubles 0.88 times for each doubling of its sensitive rival.12  That is not a small cost.  With no drug and no further mutation, it would shrink a resistant strain from half of a population to 1% in about 55 generations.13  In population-genetics terms that is strong selection, and the popular creationist argument is right to notice it.  Where that argument goes wrong is in what follows from it, which the next section shows.  The authors are careful about the variation around the mean:

"The most parsimonious interpretation is that resistance mutations are often genuinely costly.  It seems unlikely that this result represents a publication bias because, if anything, the observation of no-cost mutations is the more novel result.  Notably, there is also substantial variation in costs of resistance with at least some mutations exhibiting little or no cost."12

And one class of resistance mutations is not costly at all.  "the mean fitness of mutations conferring resistance to the dihydrofolate reductase inhibitor trimethoprim was >1 (Fig. 2), indicating that these resistance mutations are beneficial in the absence of drug".12

Plasmid-borne resistance costs less than chromosomal mutation.  Tom Vogwill and Craig MacLean's meta-analysis of 49 plasmids across 16 studies found mean relative fitness about 0.91.35

Compensation

Dan Andersson and Diarmaid Hughes wrote the standard review of the cost, and their conclusions are not the ones the creationist articles cite.  Costs depend on where the measurement is taken:  "Some resistance mutations that show no cost in bacteria grown in laboratory medium have high costs in laboratory mice and, conversely, some mutations that show no cost in mice can have substantial costs in vitro."14  Some mutations are genuinely free:  a substitution in ribosomal protein S12 "is a genuine cost-free resistance mutation", and the clinic selects for the cheap ones, because "no-cost (or low-cost) mutants are preferentially selected in humans."14 14

Where a cost exists, a second mutation usually pays it off without losing the resistance.  "Several in vitro and in vivo studies have shown that in most cases it is possible to detect compensation when resistant bacteria are serially passaged".14  Melnyk's team report that "compensatory mutations can arise within a few generations following the emergence of resistance."12

The practical conclusion is the opposite of "superbugs are superwimps":

"The main finding is that reversibility in clinical settings is expected to be slow or non-existent.  The main reasons for this are that the intrinsic dynamics of reversal are expected to be slow (even if a fitness cost is present), compensatory evolution and cost-free resistances can reduce the cost and thereby reduce the driving force for reversibility"14

What this does to the creationist argument

Carl Wieland's 1997 article is where the popular version comes from.  His summary point:  "'Supergerms' are actually not 'super' at all.  They are generally less hardy, and less fit to survive outside of the special conditions in hospitals."21  Purdom:  "the change has come at a cost.  The altered protein is less efficient in performing its normal function, making the bacteria less fit in an environment without antibiotics."18

On the measurements, that is true on average and by about 12%, a cost large enough to matter, and it is false for some mutations, and it usually stops being true after a few more generations.  A 12% mean cost, routinely compensated, is not evidence that nothing was built.  It is evidence that building costs something, which every model expects.

Kevin Anderson states the argument more carefully than the popular articles, and his version should be the one engaged with.  He concedes the compensation point outright:  resistance "may also impart some decrease of “relative fitness” (severe in a few cases), although for many mutants this is compensated by reversion."  Then he moves the argument:  "The real biological cost, though, is loss of pre-existing systems and activities."19  That is a much better argument, because it does not depend on the size of the cost at all.  It depends on the claim that every case is a loss, which Part 3 shows is not true.

Part 5: The ledger

The series asks how many cells had to be searched to find a given change, and what the change bought.  For antibiotic resistance two of the three numbers are available and the third is not, so the ledger runs partway and then stops.

One step

Demerec measured the rate in 1948 and priced its consequences himself:

"It may be estimated from survival curves, however, that the mutation rate is low, in the neighborhood of 1 × 10⁻⁸."4

At 0.12 units of penicillin per millilitre, "about 4 per 10⁸ bacteria lived."4  So one resistance step costs a search of roughly 10⁸ cells.  A saturated overnight culture holds about 10⁹ cells per millilitre, so one millilitre of broth contains the search.  This is why single-step resistance to rifampicin appears so readily, and why Anderson can say he gets highly resistant mutants routinely.

Two steps at once

"The chance of two simultaneous mutations is 10⁻⁸ × 10⁻⁸ = 10⁻¹⁶, and of three simultaneous mutations, 10⁻⁸ × 10⁻⁸ × 10⁻⁸ = 10⁻²⁴.  Since the volume of an S. aureus cell is about one cubic micron, it would be expected that one double mutant, on the average, would be found in ten liters of bacteria, and one triple mutant in one million cubic meters."4

That is the whole benchmarking argument, written in 1948 by a mainstream geneticist.  Ten litres of packed bacteria for two simultaneous steps.  A million cubic metres for three.  The arithmetic checks:  a cubic micron is 10⁻¹⁵ litres, so 10¹⁶ cells occupy 10 litres and 10²⁴ cells occupy 10⁹ litres, which is 10⁶ cubic metres.36

Why that is not the cost of the beta-lactamase

The five-step TEM path did not require five simultaneous mutations, and this is the point where the benchmarking argument has to be applied honestly.  Weinreich's landscape is single-peaked and the first step is beneficial on its own.30 31  Each step can therefore fix before the next is needed, and the cost is five sequential searches of about 10⁸ cells each rather than one search of 10⁴⁰.

What the path does cost is order.  102 of the 120 orders are closed, and half the probability sits on two to four of the remaining eighteen.30 30  Weinreich's own conclusion is about repeatability, not difficulty:  "It now appears that intramolecular interactions render many mutational trajectories selectively inaccessible, which implies that replaying the protein tape of life (28) might be surprisingly repetitive."30

What the search bought

This is the number the series wants, and here it is small.  Under the nucleotide conversion rule of the taxonomy article, the TEM case originated five nucleotides:  four coding substitutions and one regulatory change.  No new gene, no new fold, no new coded element that did not exist.  An enzyme that hydrolysed one substrate now hydrolyses another.

Scale that against what the series is testing.  The number of bacterial cells on earth is often put near 10³⁰, and antibiotics have been in mass production since the 1940s, at "100,000–200,000 tonnes per annum worldwide" by 2002 and "well over 1 million tonnes since the 1940s."14  Eighty years of the most intense chemical selection pressure ever applied to any group of organisms, across a population larger than any other on earth, has produced:  a great deal of gene shuffling, a long list of broken porins and repressors, a long list of retuned targets, and a handful of enzymes with shifted substrate preferences.

That is the argument, and it is an argument about extrapolation, not about whether change happens.  It is also, honestly stated, a lower bound.  Nobody has catalogued every adaptive change in every bacterial lineage over eighty years, and nobody could.

Where the ledger stops

Three inputs the series normally uses cannot be supplied here, and the article says so rather than guessing.

  • The denominator. "Total bacterial cells exposed to antibiotics since 1940" is not a measured quantity. The 10³⁰ figure for cells on earth is an estimate for all bacteria, not for those under drug selection, and using it would be inventing a denominator.
  • The full numerator. There is no catalogue of every adaptive change in every bacterial species over the antibiotic era. The gains listed above are the ones that were studied, not a sample.
  • The share by route. No source read gives a measured split between transfer, loss, modification and gain across clinical resistance.

Objections and responses

"Antibiotic resistance is the textbook case of evolution in action.  You are explaining away the best evidence there is."  It is evolution, and this article says so four times.  The question the series asks is different:  how much new working sequence did the process originate, and how many cells did it search to get it?  For the best-documented case the answers are five nucleotides and about five sequential searches of 10⁸ cells.  Those are the real numbers and neither side gets to round them.

"Your own sources say resistance genes are 30,000 years old and beta-lactamases are two billion years old.  You cannot use the papers and reject the dates."  The dates are used for nothing.  The claim taken from D'Costa 2011 and Bhullar 2012 is that those genes were never exposed to a manufactured antibiotic, which each paper establishes by contamination controls, cryostratigraphy and cave geology rather than by the date.  The 1915 Shigella and the 1800s hedgehog MRSA make the same point without any deep-time assumption, and they are cited first for that reason.  The molecular-clock ages are reported as what the mainstream method yields and are not relied on.

"If resistance genes already existed, then resistance is not evolution at all."  Two things are being run together.  A bacterium acquiring a plasmid is not originating anything, and the creationist sources are right about that.  But the Murray Collection shows the plasmids of 1917 to 1954 carried no resistance, so something changed between then and now.7  What changed is which genes are on which plasmids in which bacteria, and that is a real evolutionary change, even though it originated no sequence.

"Every resistance mutation is a loss.  Anderson's Table I proves it."  Table I is fourteen antibiotics and every entry is a loss or reduction, and every entry is correct.  It is also a selected list.  It does not include the TEM and SHV extended-spectrum beta-lactamases, the best-documented class of resistance built by point mutation, where the mutations improve an enzyme's action on a new substrate.  A table of fourteen cases cannot establish a claim about all cases when the omitted class is the counterexample.  The creationist side can fairly add two things.  Anderson himself narrowed the claim to "typically" in 2008.32  And the TEM and SHV enzymes were the commonest ESBLs only in the 1980s and 1990s;  today the transferred CTX-M enzymes have nearly displaced them, so the counterexample is real but no longer the main clinical story.2

"The TEM mutations trade one activity for another.  That is not a gain, it is a shift."  That is the strongest version of the objection and it is close to right.  The taxonomy article scores the case as modification, shifted, and this article agrees with that score.  The reason it still counts against the universal claims of Anderson in 2005 and Purdom in 2007 is that a shift is not a loss.  Purdom's 2007 claim is that resistance mutations "only lead to a loss of functional systems," and a 46,000-fold rise in cefotaxime resistance, built by five changes that knock nothing out, is not that.  The objection does land a real point:  the key substitution costs the enzyme about tenfold in efficiency on ampicillin and some stability.10  So TEM* is a trade, not a free gain, and the two authors' 2008 wording, that resistance mutations are "a very clear example of antagonistic pleiotropy", describes it fairly.32

"Resistant bacteria are less fit.  Remove the drug and they disappear."  The measured mean cost is 12%, several classes show no cost, trimethoprim resistance is beneficial without the drug, and compensatory mutations appear within a few generations.12 12 12  The review that established the cost concludes that reversal in the clinic is "slow or non-existent."14  The creationist version of this argument was reasonable in 1997 and has not been updated.

"You are just running Behe's argument."  Behe's First Rule is a rate claim:  damaging mutations that help are expected to appear "100–1000 times" more often than constructive ones, so they arrive first.37  He calls it "a rule of thumb.  It is a heuristic, useful generalization, rather than a strict law."37  This article's evidence fits that rule and does not fit the stronger claim that constructive mutations never happen.  Behe himself scores an acquired resistance gene as a gain of function, which the popular creationist articles deny.37

"If a gene can be tuned to a new substrate in five steps, why can it not be built from scratch in fifty?"  That is the real question and this article does not answer it.  Nothing here settles whether a beta-lactamase could be assembled from non-coding DNA, because nobody has watched that happen.  What the series can say is that eighty years of the strongest selection ever applied have not produced one, which is evidence about rates and not a proof of impossibility.  The one case of resistance from random sequence, Knopp's peptides, worked by discharging the membrane rather than by attacking the drug (Part 3).  The rarity arguments that get aimed at this question are discussed, with their weaknesses, in How Rare Is a Working Protein?.

Issues and unanswered questions

  1. No measured share by route. No source read gives a split across clinical resistance as a whole. The 2019 global burden study ranks the deadliest pairings of germ and drug, and with the mechanism reviews that ranking shows transfer carrying most of the top seven, but the study itself does not classify by mechanism and the sorting is this article's.24 A surveillance dataset that classified resistance determinants by mechanism, organism and year would give a real share.
  2. The Franklin expedition claim is quarantined, not refuted. The 1988 conference abstract exists and was not obtained. The printed Program and Abstracts of the 28th ICAAC (American Society for Microbiology, 1988) would settle what was actually found.
  3. Hughes and Datta 1983 was read as an abstract only. Its main point is now backed by measurement: Houndt and Ochman found no high-level resistance in Murray E. coli apart from one probable contaminant, and Baker's team found chromosomal resistance genes across the sequenced strains.8 6 The per-strain gene table is in Baker's Additional file 8, which was not read, so the article gives no count of Murray strains carrying each gene.
  4. Liu 2016 was read as an abstract only. The conjugation frequency of 10⁻¹ to 10⁻³ per recipient cell is load-bearing in the ledger and comes from the abstract's Findings section.
  5. No creationist paper addresses the TEM extended-spectrum beta-lactamases by name. The general answer exists: Anderson and Purdom's 2008 paper calls a broadened enzyme "biochemically degenerative", and this article engages that answer in Part 3.32 A full-text search of creation.com, the Answers Research Journal and the CRSQ index for "extended-spectrum" and "beta-lactamase" has still not been run. If a specific treatment exists it should be quoted and engaged.
  6. The cost-free ribosomal substitution is numbered differently by two sources (K42R in Andersson and Hughes, K424R in Melnyk). The primary, Sander et al. 2002, was not read, so no residue number is printed here.
  7. Tuberculosis and malaria are deliberately excluded. katG, rpoB and the tuberculosis ledger belong to Mycobacterium tuberculosis. Chloroquine, pyrimethamine and artemisinin belong to Plasmodium falciparum. The rpoB and gyrA mechanisms are used here as examples only.
  8. The five-nucleotide figure for the TEM gain is a count of changed sites, not a measure of information. Whether that is the right unit is the open question of the whole series, and it is argued in Measuring Biological Information, not here.

Verdict

Antibiotic resistance is observed evolution and the creationist literature should stop implying otherwise.  What it is not is a demonstration that mutation and selection build new machinery.  Most clinical resistance is a gene moved from one bacterium to another, and the moving originates nothing.  Most of the rest is a porin lost, a repressor broken, a prodrug-activating enzyme knocked out, or a target protein that no longer grips the drug.  Kevin Anderson's fourteen-row table is right about every row in it.

The exception matters more than its size suggests.  Five point mutations, four in the protein and one in its control region, make a bacterium carrying TEM-1 beta-lactamase about 46,000 times more resistant to cefotaxime, and the same substitutions have arisen repeatedly in hospitals and been recovered in a flask.  Nothing was knocked out.  The key substitution did cost the enzyme about tenfold in efficiency on ampicillin and some stability, which a second substitution repaid, so the design side is right that the gain was a trade.  Calling the whole a loss requires a definition chosen in advance.  So the honest score is five new nucleotides, bought by five sequential searches of roughly 10⁸ cells each, out of eighty years of the heaviest chemical selection ever applied to any organisms on earth.  That is a real gain and a very small one, and both halves of that sentence are the point.  It is also a smaller part of today's clinical picture than it was in the 1990s:  the commonest extended-spectrum enzymes now are the CTX-M family, a Kluyvera gene that already attacked cefotaxime and was moved, though it too has since been tuned one substitution at a time.

The fitness-cost argument should be retired in its popular form.  A 12% mean cost is large enough to matter, but it is absent in some classes, reversed in others, and compensated within a few generations, so it does not show that resistance is degradation.  The argument that survives is Anderson's narrower one and Batten's:  no antibiotic-destroying enzyme has ever been watched arising from DNA that was not already a gene.  The nearest challenge, random peptides that raise aminoglycoside resistance, works by discharging the cell membrane, the same route as a broken respiratory chain.  That claim is true, it is checkable, and it is the one worth defending.

Sources


  1. 1.

    Bhullar, Kirandeep et al.  “Antibiotic Resistance Is Prevalent in an Isolated Cave Microbiome.”  PLoS ONE 7(4):e34953.  Apr 11, 2012.  Open access, CC BY. Read from the publisher PDF; pages are the PDF's own 1 to 11, pinned by extracting each page separately.

    1. 1a.

      Page 2:  “speleogenesis in the last 7 million years”.  “The deep recesses of Lechuguilla Cave, isolated from surface input for the past 4–7 million years, therefore provide a unique environment to study the presence and prevalence of antibiotic resistance elements.”  The isolation figure is cited from earlier geological work, not measured in this paper. ↩

    2. 1b.

      Page 3:  “In the collection of 33 Gram-positive strains, on average, 70% of the strains were resistant to 3–4 different antibiotic classes.  Three strains were resistant to 14 antibiotics, all of which were Streptomyces spp.”  “however, unlike surface strains, we saw no Gram-positive resistance to the synthetic drugs ciprofloxacin and linezolid, the semi synthetic compounds rifampicin and minocycline, and the natural product vancomycin”. ↩

    3. 1c.

      Page 6:  “Resistance can emerge relatively quickly in the case of some mutations in target genes and there is evidence that antibiotics themselves can promote such mutations [43,44,45,46]; however, resistance to most antibiotics occurs through the aegis of extremely efficient enzymes, efflux proteins and other transport systems that often are highly specialized towards specific antibiotic molecules.” ↩

  2. 2.

    Cantón, Rafael et al.  “CTX-M Enzymes: Origin and Diffusion.”  Frontiers in Microbiology 3:110.  Apr 2, 2012.  A review from a Madrid hospital laboratory that studies CTX-M enzymes.  It traces the CTX-M families to chromosomal genes of Kluyvera, counts the separate mobilisation events from sequence trees, and follows their spread country by country.  It matters here because it shows that the commonest extended-spectrum enzymes were moved rather than built, and also that they were later tuned by point mutations.  Mirror:  PMC

    1. 2a.

      Section Abstract:  “Incorporation of different chromosomal blaCTX-M related genes from different species of Kluyvera has derived in different CTX-M clusters.  In silico analyses have shown that this event has occurred at least nine times”. ↩

    2. 2b.

      Section Classification of β-Lactamases and CTX-M Enzymes:  “Phylogenetic analyses suggest that CTX-Ms were not originated by mutations from previous plasmid meditated enzymes but through mobilization of chromosomal bla genes from Kluyvera spp. when they were incorporate into mobile genetic elements (Cantón, 2008).  These original mobilized blaCTX-Ms genes affected cefotaxime to a higher degree than ceftazidime.”  "Meditated" for mediated and "incorporate" for incorporated are in the source. ↩ ↩

    3. 2c.

      Section Classification of β-Lactamases and CTX-M Enzymes:  “The TEM- and SHV-ESBLs were predominant in the ESBL landscape over the 1980s and 1990s in the past century”. ↩

    4. 2d.

      Section Epidemiology of CTX-M β-Lactamase-Producing Bacteria:  “Studies over the last 10 years have revealed that unlike some exceptions, the CTX-M enzymes have nearly displaced other ESBLs enzymes in Enterobacteriaceae, including TEM and SHV ESBL variants”.  Written in 2012, so the ten years are roughly 2002 to 2012. ↩ ↩

    5. 2e.

      Section Penetration and globalization of CTX-M enzymes all over the world:  “The CTX-M-10 differs from CTX-M-3 in two amino acids (A27V and R38Q) whereas CTX-M-15 in only one amino acid position (D240G).” ↩

    6. 2f.

      Section Evolution and Diversification of CTX-M β-Lactamases:  “An evolution experiment was designed in our laboratory to obtain more efficient CTX-M variants against ceftazidime; the ceftazidime-resistant CTX-M variants carried the changes A77V, P167S, and D240G (Novais et al., 2008).  These changes have been described in the nature in several cases”. ↩

  3. 3.

    Liu, Yi-Yun et al.  “Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study.”  The Lancet Infectious Diseases 16(2):161–168.  Feb 2016.  ABSTRACT ONLY. Paywalled at Elsevier and both mirrors Semantic Scholar lists now return 404. The verbatim structured abstract was taken from PubMed, PMID 26603172, and nothing beyond it is cited here.

    1. 3a.

      Section Abstract, Background:  “Until now, polymyxin resistance has involved chromosomal mutations but has never been reported via horizontal gene transfer.” ↩

    2. 3b.

      Section Abstract, Findings:  “The plasmid carrying mcr-1 was mobilised to an E coli recipient at a frequency of 10(-1) to 10(-3) cells per recipient cell by conjugation, and maintained in K pneumoniae and Pseudomonas aeruginosa.”  PubMed renders the exponents in parentheses. Read as 10⁻¹ to 10⁻³. ↩

    3. 3c.

      Section Abstract, Findings:  “We observed mcr-1 carriage in E coli isolates collected from 78 (15%) of 523 samples of raw meat and 166 (21%) of 804 animals during 2011-14, and 16 (1%) of 1322 samples from inpatients with infection.” ↩

  4. 4.

    Demerec, M.  “Origin of Bacterial Resistance to Antibiotics.”  Journal of Bacteriology 56(1):63–74.  1948.  Read from the PubMed Central scan; PDF page N is printed folio 62 plus N, anchored on the running heads at PDF pages 6 and 10. Every exponent below was confirmed against a 150 dpi rendering of the page, because pdftotext destroys superscripts in this scan.  Mirror:  PMC

    1. 4a.

      Page 68:  “resistance to certain concentrations of penicillin or streptomycin originates through mutation, and that resistant bacteria may be found in any large population, the proportion depending on the mutation rate”. ↩

    2. 4b.

      Page 68:  “At a concentration of 0.15 units per ml there were no survivors, but at a concentration of 0.12 units about 4 per 10⁸ bacteria lived.”  Staphylococcus aureus strain NRRL 313 against penicillin. ↩

    3. 4c.

      Page 72:  “It may be estimated from survival curves, however, that the mutation rate is low, in the neighborhood of 1 × 10⁻⁸.”  An estimate from survival curves in 1948, not a modern fluctuation-test measurement. ↩ ↩

    4. 4d.

      Page 72:  “The chance of two simultaneous mutations is 10⁻⁸ × 10⁻⁸ = 10⁻¹⁶, and of three simultaneous mutations, 10⁻⁸ × 10⁻⁸ × 10⁻⁸ = 10⁻²⁴.  Since the volume of an S. aureus cell is about one cubic micron, it would be expected that one double mutant, on the average, would be found in ten liters of bacteria, and one triple mutant in one million cubic meters.” ↩ ↩ ↩

  5. 5.

    Baker, Kate S. et al.  “The extant World War 1 dysentery bacillus NCTC1: a genomic analysis.”  The Lancet 384(9955):1691–1697.  Nov 8, 2014.  Open access, CC BY. Read from the PubMed Central HTML, which carries no print folios, so locators here are section names.  Mirror:  PMC

    1. 5a.

      Section Results, Antimicrobial resistance in NCTC1:  “The NCTC1 accession card reported resistance to erythromycin and penicillin in tests done in the 1950s (figure 3).  These phenotypes were confirmed as part of this study, with NCTC1 having MICs of 16 mg/L and 24 mg/L for these compounds respectively.” ↩ ↩

    2. 5b.

      Section Results, Antimicrobial resistance in NCTC1:  “These were a tripartite efflux pump (mdtE, mdtF, and tolC) capable of conferring resistance to erythromycin and a β-lactamase (bl1_ec) that could confer resistance to penicillin. The β-lactamase orthologue was an ampC gene that is widely conserved throughout many Enterobacteriacae.”  The misspelling of Enterobacteriaceae is the paper's. ↩

    3. 5c.

      Section Discussion:  “We show that this 1915 isolate, from before the discovery of penicillin, has intrinsic resistance to antimicrobials.” ↩

  6. 6.

    Baker, Kate S. et al.  “The Murray collection of pre-antibiotic era Enterobacteriacae: a unique research resource.”  Genome Medicine 7:97.  2015.  A resource paper from the Wellcome Trust Sanger Institute and the UK National Collection of Type Cultures.  It accessions the whole Murray Collection, checks its records, and releases genome sequences for 370 strains with a first search for resistance genes.  It did no resistance testing of its own and reports earlier tests, so it shows which genes the pre-antibiotic pathogens carried, not how resistant each strain was.  Mirror:  PMC

    1. 6a.

      Section Collection composition and associated metadata:  “The Murray collection (as held by the NCTC) comprises 683 bacterial strains belonging to 447 equivalence groups”.  Section Background:  “whole genome sequencing data (also released here) generated for 370 of the strains”.  The collection's dates on the vials run from 1917 to 1954 by genus in the paper's Table 1. ↩ ↩

    2. 6b.

      Section Antimicrobial resistance:  “AMR has been reported in the pre-antibiotic era Murray Collection strains, including tetracycline resistance in Proteus sp., ampicillin resistance in the Klebsiella and both ampicillin and kanamycin resistance in Escherichia sp.”  “This revealed many resistance genes (often known to be chromosomally encoded) that were present across all members of a genus”.  AMR is antimicrobial resistance.  The first quotation reports earlier work, including Hughes and Datta 1983 and Houndt and Ochman 2000. ↩ ↩ ↩

  7. 7.

    Hughes, V. M., and Naomi Datta.  “Conjugative plasmids in bacteria of the 'pre-antibiotic' era.”  Nature 302(5910):725–726.  Apr 21, 1983.  ABSTRACT ONLY. Paywalled at the publisher with no repository copy found through Unpaywall, OpenAlex, Semantic Scholar or the Wayback Machine. The verbatim abstract was taken from PubMed, PMID 6835408. Nothing beyond the two figures below may be cited from this paper.

    1. 7a.

      Section Abstract:  “E.D.G. Murray collected strains of Enterobacteriaceae from 1917 to 1954; we now report that 24% of these encode information for the transfer of DNA from one bacterium to another.  From at least 19% of the strains, conjugative plasmids carrying no antibiotic resistance were transferred to Escherichia coli K-12.”  PubMed prints the collector's initials as E.D.G.; the collector was Everitt George Dunne Murray. ↩ ↩ ↩

  8. 8.

    Houndt, Tara, and Howard Ochman.  “Long-Term Shifts in Patterns of Antibiotic Resistance in Enteric Bacteria.”  Applied and Environmental Microbiology 66(12):5406–5409.  Dec 2000.  A laboratory survey from the University of Arizona.  It measured how much ampicillin, chloramphenicol, kanamycin, tetracycline and protamine it took to stop each strain growing, in pre-antibiotic E. coli from the Murray Collection and in two modern collections of E. coli and Salmonella.  It found high-level resistance, meaning about 50 µg/ml or more, only in the modern strains, and higher background resistance in them too.  Five drugs only, and the modern strains are not all from hospitals.  Mirror:  PMC

    1. 8a.

      Page 5406:  “All of the pre-antibiotic era strains were susceptible to high levels of these antibiotics, whereas 20% of strains from contemporary populations of Escherichia coli and Salmonella enterica displayed high-level resistance to at least one of the antibiotics.” ↩ ↩ ↩

    2. 8b.

      Page 5407:  “Bacteria from the pre-antibiotic era were represented by E. coli strains amassed by E.D.G. Murray (13).  These strains were recovered primarily from humans with infections between 1885 and 1941”.  “Murray strain 125, the single pre-antibiotic era strain displaying high-level resistance, was probably a contaminant because its MIC profile did not correspond to that reported previously”.  The dates 1885 to 1941 are the paper's;  Hughes and Datta give 1917 to 1954 for the collection as a whole. ↩

  9. 9.

    The fold change is computed from Weinreich's Table 1, page 112. TEM-1 has a cefotaxime minimum inhibitory concentration of 0.088 µg/ml and TEM*, the quintuple mutant, 4.1 × 10³ µg/ml. The ratio is 4,100 ÷ 0.088 = 46,590, so "about 46,000-fold." The paper's abstract rounds this to ∼100,000, an order-of-magnitude figure; this article prints the ratio computed from the table and says so, rather than repeating the rounded number as a measurement.30 ↩ ↩

  10. 10.

    Palzkill, Timothy.  “Structural and Mechanistic Basis for Extended-Spectrum Drug-Resistance Mutations in Altering the Specificity of TEM, CTX-M, and KPC β-lactamases.”  Frontiers in Molecular Biosciences 5:16.  Feb 23, 2018.  A review by a Baylor College of Medicine biochemist whose own TEM-1 mutagenesis studies are among those it reviews.  It gathers published enzyme kinetics, crystal structures and stability measurements for each extended-spectrum substitution.  It matters here because it puts numbers on what the ESBL substitutions cost the enzyme's original penicillin activity and its stability.  Mirror:  PMC

    1. 10a.

      Section G238S and R164S substitutions:  “While the G238S substitution increases the rate of cefotaxime and ceftazidime hydrolysis, it significantly decreases the rate of hydrolysis of penicillins.  For example, kcat/KM for ampicillin hydrolysis is reduced 10-fold compared to wild-type TEM-1 while kcat is decreased ~50-fold”.  kcat/KM is the enzyme's catalytic efficiency;  kcat is its turnover rate.  The figures are from Dellus-Gur and colleagues, 2015. ↩ ↩ ↩

    2. 10b.

      Section E104K and E240K substitutions:  “In contrast to the R164S and G238S substitutions, the E104K substitution has little effect on the hydrolysis of penicillins.” ↩

    3. 10c.

      Section M182T substitution:  “Adding the M182T substitution to the G238S enzyme results in increased thermodynamic stability suggesting that M182T compensates for TEM ESBL substitutions that trade off protein stability for improved oxyimino-cephalosporin hydrolysis”. ↩ ↩

  11. 11.

    Barlow, Miriam, and Barry G. Hall.  “Predicting Evolutionary Potential: In Vitro Evolution Accurately Reproduces Natural Evolution of the TEM β-Lactamase.”  Genetics 160(3):823–832.  Mar 2002.  Read from the PubMed Central PDF; PDF page N is printed folio 822 plus N, checked at the title page and at the substitutions paragraph.  Mirror:  PMC

    1. 11a.

      Page 823:  “our results predict that a phenotype not yet observed among TEM β-lactamases in nature—resistance to cefepime—is likely to arise in nature”.  Abstract. ↩

    2. 11b.

      Page 827:  “The average library size was 1.3 × 10⁶ insert-bearing transformants per experiment.”  Nine independent libraries were made, with about two mutations per copy of the TEM coding sequence. ↩ ↩

    3. 11c.

      Page 829:  “Nine mutations have arisen independently multiple times in nature: L12F, E104K, R164S, R164H, M182T, A237T, G238S, E240K, and T265M.  Seven of those, E104K, R164S, R164H, M182T, G238S, E240K, and T265M, were recovered during our in vitro evolution experiments”. ↩ ↩

    4. 11d.

      Page 829:  “These results demonstrate that in vitro evolution with the Mutazyme polymerase recovers substantially the same mutations that are selected in nature.” ↩

  12. 12.

    Melnyk, Anita H. et al.  “The fitness costs of antibiotic resistance mutations.”  Evolutionary Applications 8(3):273–283.  Mar 2015.  Open access, CC BY. Read from the PubMed Central PDF; PDF page N is printed folio 272 plus N, anchored on the running foot at PDF page 5. Covers chromosomal point mutations only, not plasmid-borne genes.  Mirror:  PMC

    1. 12a.

      Page 275:  “In this article, we analyze 179 mutations (121 unique), comprising eight bacterial species and 16 antibiotics”. ↩

    2. 12b.

      Page 275:  “we have recalculated all fitness estimates in terms of the Malthusian growth parameter to facilitate direct comparisons (see Box 3)”.  Page 276, Box 3:  “consider fitness in terms of a Malthusian growth model, where the growth parameter for a strain is the number of doublings that it experiences over a given period of time.” ↩ ↩

    3. 12c.

      Page 277:  “We found a significant fitness cost of resistance mutations (mean fitness = 0.880, z = 129.3, P < 0.0001).” ↩ ↩ ↩

    4. 12d.

      Page 277:  “The most parsimonious interpretation is that resistance mutations are often genuinely costly.  It seems unlikely that this result represents a publication bias because, if anything, the observation of no-cost mutations is the more novel result.  Notably, there is also substantial variation in costs of resistance with at least some mutations exhibiting little or no cost.” ↩

    5. 12e.

      Page 278:  “the mean fitness of mutations conferring resistance to the dihydrofolate reductase inhibitor trimethoprim was >1 (Fig. 2), indicating that these resistance mutations are beneficial in the absence of drug”. ↩ ↩

    6. 12f.

      Page 280:  “previous work suggests that compensatory mutations can arise within a few generations following the emergence of resistance”. ↩ ↩

  13. 13.

    Melnyk's relative fitness is a ratio of doublings, so a mean of 0.880 means the resistant strain doubles 0.88 times while its sensitive rival doubles once 12.  Each generation of the rival therefore multiplies the ratio of resistant to sensitive cells by 2 to the power of minus 0.12, which is 0.920.  To fall from 1:1 to 1:99, that is from half the population to 1%, takes ln 99 divided by (0.12 × ln 2), or 4.595 / 0.0832, about 55 generations.  To fall to 1 in 1,000 takes about 83.  This assumes no drug, no compensatory mutation and no linked selection, which are exactly the conditions that the clinic does not supply 14. ↩ ↩

  14. 14.

    Andersson, Dan I., and Diarmaid Hughes.  “Antibiotic resistance and its cost: is it possible to reverse resistance?”  Nature Reviews Microbiology 8(4):260–271.  Apr 2010.  Paywalled at the publisher; the Zenodo copy Unpaywall lists was taken down in 2019. Read from the course-blog mirror of the publisher PDF, with printed folios 260 to 270 in the running heads.  Mirror:  Evolutionmedicine.files.wordpress.com

    1. 14a.

      Page 260:  “the intensive use of antibiotics (which was estimated in 2002 to be 100,000–200,000 tonnes per annum worldwide and which is, in total, well over 1 million tonnes since the 1940s) has dramatically increased the frequency of resistance among human pathogens”. ↩

    2. 14b.

      Page 263:  “Some resistance mutations that show no cost in bacteria grown in laboratory medium have high costs in laboratory mice and, conversely, some mutations that show no cost in mice can have substantial costs in vitro.” ↩

    3. 14c.

      Page 264:  “This implies that the K42R mutation in 30S ribosomal protein S12 is a genuine cost-free resistance mutation.”  The residue number is not printed in the article body because Melnyk 2015 numbers the same substitution K424R and the primary, Sander et al. 2002, was not read. ↩

    4. 14d.

      Page 264:  “This suggests that no-cost (or low-cost) mutants are preferentially selected in humans.” ↩

    5. 14e.

      Page 266:  “Several in vitro and in vivo studies have shown that in most cases it is possible to detect compensation when resistant bacteria are serially passaged”. ↩

    6. 14f.

      Page 269:  “The main finding is that reversibility in clinical settings is expected to be slow or non-existent.  The main reasons for this are that the intrinsic dynamics of reversal are expected to be slow (even if a fitness cost is present), compensatory evolution and cost-free resistances can reduce the cost and thereby reduce the driving force for reversibility”. ↩ ↩ ↩ ↩

  15. 15.

    Behe, Michael J.  Darwin Devolves: The New Science About DNA That Challenges Evolution.  HarperOne.  2019.  Library EPUB, which carries print-page anchors. The page mapping was anchored by the Measuring Biological Information writer against five page citations in Lang and Rice 2019; the quotation below is taken from that article's dossier and was not re-extracted here.

    1. 15a.

      Page 180:  “(1) the bug acquires a brand-new gene that allows it to neutralize the antibiotic, which would be categorized as a molecular gain-of-FCT; (2) a control region that normally turned off a bacterial gene that could already inactivate the drug to a small extent breaks, allowing the gene to be active all the time, which would actually be a molecular loss-of-FCT (because the control region no longer works); or (3) a single amino-acid residue of a bacterial protein that interacts with the drug, leading to the death of the bug, is substituted by another kind of amino acid that blocks the drug from working; that would be classified as a modification-of-function.” ↩

  16. 16.

    Munita, Jose M., and Cesar A. Arias.  “Mechanisms of Antibiotic Resistance.”  Microbiology Spectrum 4(2).  Apr 2016.  Article number VMBF-0016-2015. Read from the NIH author manuscript (NIHMS715987), so locators here are manuscript pages read off the running head "Munita and Arias Page N", not Microbiology Spectrum pages.  Mirror:  PMC

    1. 16a.

      Page 3:  “bacteria use two major genetic strategies to adapt to the antibiotic “attack”, i) mutations in gene(s) often associated with the mechanism of action of the compound, and ii) acquisition of foreign DNA coding for resistance determinants through horizontal gene transfer (HGT)”.  “Classically, bacteria acquire external genetic material through three main strategies, i) transformation (incorporation of naked DNA), ii) transduction (phage mediated) and, iii) conjugation (bacterial “sex”).”  Author-manuscript pages. ↩ ↩

    2. 16b.

      Page 3:  “there is robust evidence suggesting that such “environmental resistome” is a prolific source for the acquisition of antibiotic resistance genes in clinically relevant”.  Author-manuscript page. The sentence continues with the word "bacteria" on the following line. ↩ ↩

    3. 16c.

      Page 8:  “Consequently, CTX-M enzymes have become the most prevalent ESBL worldwide and are responsible for a large proportion of cephalosporin resistance in E. coli and K. pneumoniae.” ↩ ↩

    4. 16d.

      Page 8:  “the remaining two (KPC and GES) are classically harbored in plasmids or other MGEs”.  Of the five families of class A carbapenemases.  MGEs are mobile genetic elements. ↩

    5. 16e.

      Page 9:  “Indeed, genes encoding these enzymes have been found as part of the accessory genome of pathogenic bacteria suggesting HGT.”  About the metallo-carbapenemases, including NDM.  HGT is horizontal gene transfer. ↩

    6. 16f.

      Page 11:  “One classic example of porin-mediated resistance is the aberrant production of OprD in P. aeruginosa, which is normally used for the uptake of basic amino acids and antibiotics (i.e., imipenem, a potent anti-pseudomonal antibiotic from the carbapenem class).”  Author-manuscript page. ↩

    7. 16g.

      Page 15:  “while these mutations result in decreased affinity of the drug for its target, they usually spare the catalytic activity of the polymerase, permitting transcription to continue”.  Author-manuscript page. RIF is rifampicin. ↩

    8. 16h.

      Page 17:  “The mecA gene encodes PBP2a, a PBP that has low affinity for all β-lactams, including penicillins, cephalosporins (except for last generation compounds) and carbapenems.”  Author-manuscript page. The same passage names Staphylococcus sciuri as the likely source of mecA and SCCmec as the cassette carrying it; that sentence is garbled in the manuscript and is paraphrased in the article rather than quoted. ↩ ↩

    9. 16i.

      Page 18:  “Genes nearly identical to those of the vanA gene cluster (the most prevalent in clinical enterococcal strains) have been found in soil organisms such as Paenibacillus thiaminoluticus and P. apiaries”.  Author-manuscript page. The source misspells Paenibacillus apiarius. ↩

  17. 17.

    Humeniuk, Christel et al.  “β-Lactamases of Kluyvera ascorbata, Probable Progenitors of Some Plasmid-Encoded CTX-M Types.”  Antimicrobial Agents and Chemotherapy 46(9):3045–3049.  Sep 2002.  In the library from the Measuring Biological Information article. Read from the PubMed Central HTML.  Mirror:  PMC

    1. 17a.

      Section Abstract:  “Otherwise, blaKLUA was found to be similar (95 to 100%) to some plasmid-encoded CTX-M-type β-lactamases. Finally, mobilization of blaKLUA on a plasmid was found to be mediated probably by a genetic mobile element like ISEcp1.” ↩ ↩

  18. 18.

    Purdom, Georgia.  “Antibiotic Resistance of Bacteria: An Example of Evolution in Action?”  Answers in Genesis.  Jul 10, 2007.  From Answers magazine, July to September 2007. The date is the page's own datePublished metadata. Purdom holds a PhD in molecular genetics.

    1. 18a.

      Section How Do Bacteria Become Resistant?:  “Although the mutant bacteria can survive well in the hospital environment, the change has come at a cost.  The altered protein is less efficient in performing its normal function, making the bacteria less fit in an environment without antibiotics.” ↩

    2. 18b.

      Section How Do Bacteria Become Resistant?:  “No new DNA is generated (a requirement for molecules-to-man evolution), it is just moved around.  It's like taking money from your left pocket and putting it into your right pocket—it doesn't make you wealthier.” ↩

    3. 18c.

      Section What Does It Really Prove?:  “Mutation and natural selection, thought to be the driving forces of evolution, only lead to a loss of functional systems.  Therefore, antibiotic resistance of bacteria is not an example of evolution in action but rather variation within a bacterial kind.” ↩

  19. 19.

    Anderson, Kevin L.  “Is Bacterial Resistance to Antibiotics an Appropriate Example of Evolutionary Change?”  Creation Research Society Quarterly 41(4):318–326.  Mar 2005.  Anderson is a microbiologist, then at the Van Andel Creation Research Center; accepted for publication 8 October 2004. Read from the scanned CRSQ PDF served by a signed link on the article page. The most detailed creationist treatment of the subject.

    1. 19a.

      Page 318:  “Horizontal transfer, though, does not account for the origin of resistance genes, only their spread among bacteria.”  Abstract. ↩

    2. 19b.

      Page 318, table I:  Fourteen antibiotics, each with the phenotype conferring resistance. Every entry is a loss or a reduction: Actinonin, loss of enzyme activity; Ampicillin, SOS response halting cell division; Azithromycin, loss of a regulatory protein; Chloramphenicol, reduced formation of a porin or a regulatory protein; Ciprofloxacin, loss of a porin or loss of a regulatory protein; Erythromycin, reduced affinity to 23S rRNA or loss of a regulatory protein; Fluoroquinolones, loss of affinity to gyrase; Imipenem, reduced formation of a porin; Kanamycin, reduced formation of a transport protein; Nalidixic Acid, loss or inactivation of a regulatory protein; Rifampin, loss of affinity to RNA polymerase; Streptomycin, reduced affinity to 16S rRNA or reduction of transport activity; Tetracycline, reduced formation of a porin or a regulatory protein; Zwittermicin A, loss of proton motive force. The printed table misspells Imipenem as Imioenem and Zwittermicin as Zittermicin. ↩

    3. 19c.

      Page 319:  “In my laboratory, we routinely obtain mutant strains with a resistance level that is orders of magnitude greater than that of the wild-type strain.  When rifampin is present, this mutation provides a decided advantage for survival compared with those cells lacking these specific mutations.  But, each of these mutations eliminates binding affinity of RNA polymerase for the rifampin.” ↩

    4. 19d.

      Page 320:  “All these mutations result in loss of the enzyme activity necessary for the drug to be effective in the cell, hence the cell becomes resistant to metronidazole.  But, loss of enzymatic activity does not provide a genetic example of how that enzyme originally “evolved.”” ↩

    5. 19e.

      Page 321:  “a mutation that causes loss of regulatory control (in this case the repressor protein, MarR) does not offer a genetic mechanism that can account for the origin of this regulatory control”. ↩

    6. 19f.

      Pages 323–324:  “Spontaneous mutation does provide a potential genetic mechanism for the origin of these genes, but such an origin has never been demonstrated.  Instead, all known examples of antibiotic resistance via mutation are inconsistent with the genetic requirements of evolution.”  From the Summary section. ↩

    7. 19g.

      Page 324:  “Antibiotic resistance may also impart some decrease of “relative fitness” (severe in a few cases), although for many mutants this is compensated by reversion.  The real biological cost, though, is loss of pre-existing systems and activities.” ↩

  20. 20.

    Luria, S. E., and M. Delbrück.  “Mutations of Bacteria from Virus Sensitivity to Virus Resistance.”  Genetics 28(6):491–511.  Nov 1943.  The fluctuation test. Read from the PubMed Central scan. Cited here only for the method, which Demerec 1948 applied to antibiotics.  Mirror:  PMC

    1. 20a.

      Page 491:  The paper shows that resistance to bacteriophage arises before exposure, by comparing the variance in resistant-colony counts between parallel cultures and a single culture divided after growth. Cited for the method only; no wording from it is quoted in this article. ↩

  21. 21.

    Wieland, Carl.  “Superbugs not super after all.”  Creation 20(1):10–13.  Dec 1997.  First appeared in Creation 20(1), December 1997; the web version was posted 27 January 2006 and updated 10 October 2022. Cited by its print appearance, which is the line creation.com prints at the head of the article. Wieland is a medical doctor and was CMI's managing director; the article opens with his own hospital infection.

    1. 21a.

      Section 1. Some germs already had the resistance:  “the information to resist the antibiotic was already there in the bacterial population—it did not arise by itself, or in response to the antibiotic”.  “That some germs were already resistant to man-made antibiotics before these were invented is common knowledge to microbiologists.  Soil samples from villages where modern antibiotics had never been used show that some of the germs are already resistant to drugs like methicillin which have never existed in nature.” ↩

    2. 21b.

      Section 1. Some germs already had the resistance:  “Bacteria revived from the frozen intestines of explorers who died in polar expeditions carried resistance to several modern antibiotics, which had not been invented when the explorers died.”  Wieland's footnote 2 for this sentence is "McGuire, R., Eerie: Human Arctic fossils yield resistant bacteria, Medical Tribune December 1988, pp. 1, 23," a trade newspaper that could not be obtained. See quarantine.md. ↩

    3. 21c.

      Section Summary and Conclusion:  “Where a mutational defect causes resistance, the survival advantage is almost always caused by a loss of information.  In no case is there any evidence of an information-adding, 'uphill' change.” ↩

    4. 21d.

      Section Summary and Conclusion:  “'Supergerms' are actually not 'super' at all.  They are generally less hardy, and less fit to survive outside of the special conditions in hospitals.” ↩

  22. 22.

    Batten, Don.  “Antibiotic resistance: Evolution in action?”  Creation 39(4):46–48.  Oct 2017.  First appeared in Creation 39(4), October 2017; the web version was posted 11 March 2019 and updated 27 March 2019. Cited by its print appearance, which is the line creation.com prints at the head of the article.

    1. 22a.

      Section Restriction of the drug's access to the target:  “Mutations in the genes that specify how the cell makes the transporters, or in regulator genes that stimulate their production, can result in no transporters, or less effective transporters.” ↩

    2. 22b.

      Section Inactivation of the antibiotic:  “It might appear that a bacterium faced with an antibiotic and then acquiring such an ability would be a great example of evolution—a new enzyme; a new gene.  However, in the instances known, the machinery to manufacture the antibiotic-destroying enzyme has never been observed to arise by mutation.” ↩

  23. 23.

    Baym, Michael et al.  “Spatiotemporal microbial evolution on antibiotic landscapes.”  Science 353(6304):1147–1151.  Sep 9, 2016.  Read from the NIH author manuscript (NIHMS874162), not the Science typesetting, so every locator here is a manuscript page read off the running head "Baym et al. Page N" and is not a journal folio.  Mirror:  PMC

    1. 23a.

      Section Author manuscript, page 2:  “The Microbial Evolution and Growth Arena (MEGA) plate consists of a rectangular acrylic dish (120 x 60 cm) in which successive regions of black-colored agar containing different concentrations of antibiotics are overlaid by soft agar allowing bacterial motility”.  Author-manuscript page, not a Science folio. ↩

    2. 23b.

      Section Author manuscript, page 2:  “phenotyping sampled mutants from the highest concentration region showed 10,000-fold increase in MIC for TMP, Fig. 1B; 100,000-fold increase for CPR, fig. S1”.  “The adaption time (10 days in TMP; 12 days in CPR) is consistent with evolution in well mixed environments”.  TMP is trimethoprim and CPR is ciprofloxacin. The manuscript prints "adaption". Author-manuscript page. ↩

    3. 23c.

      Section Author manuscript, page 3:  “the mutator phenotype emerged at least six times independently”.  Author-manuscript page. Every highly mutated isolate, and no other, carried a mutation in dnaQ, the proofreading subunit of DNA polymerase III. ↩

    4. 23d.

      Section Author manuscript, page 4:  “The most frequently mutated gene was the primary target of trimethoprim, folA (25), which encodes dihydrofolate reductase (DHFR)”.  Author-manuscript page. ↩

    5. 23e.

      Section Author manuscript, page 4:  “We also found that three genes not classically associated with trimethoprim resistance were repeatedly mutated, often with a probable loss of function (frameshift or nonsense): a phosphate transporter (pitA), shikimate kinase I (aroK), and a negative regulator of the PhoQP system (mgrB).  Knockout of these genes in the ancestral strain confirmed their resistance phenotypes”.  Author-manuscript page. ↩ ↩

    6. 23f.

      Section Author manuscript, page 4:  “Mutations that increased resistance often came with a cost of reduced growth, which was subsequently restored by additional, compensatory, mutations”.  Author-manuscript page. ↩

  24. 24.

    Antimicrobial Resistance Collaborators.  “Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.”  The Lancet 399(10325):629–655.  Feb 12, 2022.  A statistical model by a large collaboration whose first author, Christopher Murray, is at the Institute for Health Metrics and Evaluation.  It combines literature reviews, hospital and surveillance records covering 471 million records or isolates to estimate deaths from resistant bacteria in 204 countries and territories in 2019, for 23 pathogens and 88 pairings of germ and drug.  It estimates 1.27 million deaths attributable to resistance.  It classifies by germ and drug, not by how resistance arose.  Mirror:  PMC

    1. 24a.

      Page 629:  “One pathogen–drug combination, meticillin-resistant S aureus, caused more than 100 000 deaths attributable to AMR in 2019, while six more each caused 50 000–100 000 deaths: multidrug-resistant excluding extensively drug-resistant tuberculosis, third-generation cephalosporin-resistant E coli, carbapenem-resistant A baumannii, fluoroquinolone-resistant E coli, carbapenem-resistant K pneumoniae, and third-generation cephalosporin-resistant K pneumoniae.” ↩ ↩ ↩

  25. 25.

    The ranking is the global burden study's 24;  the sorting by mechanism is this article's, from the mechanism reviews.  MRSA is mecA, an acquired gene 16.  Third-generation cephalosporin resistance in E. coli and K. pneumoniae is mostly CTX-M, an acquired gene 16.  Carbapenem resistance in K. pneumoniae is mainly the plasmid-borne KPC and the metallo-enzymes such as NDM 16 16, though lost porins also contribute.  Carbapenem-resistant A. baumannii is listed as probably acquired because its OXA carbapenemases are named in the reviews read but their share is not.  Multidrug-resistant tuberculosis and fluoroquinolone-resistant E. coli arise mainly by chromosomal point mutation, as Part 1 describes.  Each pairing mixes mechanisms to some degree, so this is a ranking of what dominates, not a share. ↩

  26. 26.

    Larsen, Jesper et al.  “Emergence of methicillin resistance predates the clinical use of antibiotics.”  Nature 602:135–141.  Jan 5, 2022.  Open access, CC BY. Read from the publisher PDF, with printed folios in the running feet. The 1800s date is a tip-dated Bayesian phylogeny, an inference, not an observation.

    1. 26a.

      Page 135:  “Here we show that particular lineages of methicillin-resistant Staphylococcus aureus—a notorious human pathogen—appeared in European hedgehogs in the pre-antibiotic era.”  “We also demonstrate that the hedgehog dermatophyte Trichophyton erinacei produces two β-lactam antibiotics that provide a natural selective environment in which methicillin-resistant S. aureus isolates have an advantage over susceptible isolates.”  Abstract. ↩

    2. 26b.

      Page 137:  “The 129 mecC-MRSA CC1943 isolates could be divided into three lineages (C1 to C3), which probably originated in the early-to-late 1800s, long before the first β-lactam—penicillin G—became widely available as a therapeutic option in the 1940s”. ↩

  27. 27.

    Pawlowski, Andrew C. et al.  “A diverse intrinsic antibiotic resistome from a cave bacterium.”  Nature Communications 7:13803.  Dec 8, 2016.  Open access, CC BY. Read from the publisher PDF. The claim of conservation over millions of years is inferred by comparing cave and surface genomes; nothing was watched.

    1. 27a.

      Page 1:  “identify 18 chromosomal resistance elements, including five determinants without characterized homologues and three mechanisms not previously shown to be involved in antibiotic resistance”.  Abstract. All 18 are chromosomal, not on plasmids. ↩

  28. 28.

    D'Costa, Vanessa M. et al.  “Antibiotic resistance is ancient.”  Nature 477(7365):457–461.  Aug 31, 2011.  Paywalled at the publisher and absent from every open aggregator checked. Read from a Wayback capture of the publisher's full-text HTML made from a subscribing library. The HTML has no print folios, so locators here are the abstract and numbered paragraphs of the main text. The Supplementary Information was not obtained.  Mirror:  Archive.org

    1. 28a.

      Section Abstract:  “This history has been interpreted to mean that antibiotic resistance in pathogenic bacteria is a modern phenomenon; this view is reinforced by the fact that collections of microbes that predate the antibiotic era are highly susceptible to antibiotics”. ↩

    2. 28b.

      Paragraph 2:  “The tephra has been dated at several sites in the area to about 25,300 radiocarbon (14C) years BP, or about 30,000 calendar years”.  Main text, second numbered paragraph. The sediment itself was not radiocarbon dated; the age is stratigraphic, from an overlying ash layer. ↩

    3. 28c.

      Paragraph 2:  “The cryostratigraphic context is similar to other sites in the area preserving relict permafrost and indicates that the permafrost has not thawed since the time of deposition”. ↩

    4. 28d.

      Paragraph 6:  “No sequences of common Holocene vertebrates (for example elk or moose) or plants (for example spruce) were identified”.  Paragraph 11:  “No contaminants were detected in more than 300 control reactions.”  The other controls were GFP-tagged E. coli sprayed on the drill and core exteriors, with 0.1% or less reaching the core centre, and replication by an independent laboratory. ↩

    5. 28e.

      Paragraph 14:  “These results clearly show that the vanHAX genes identified in the ancient samples encode enzymes capable of genuine antibiotic resistance.” ↩

  29. 29.

    Perry, Julie et al.  “The Prehistory of Antibiotic Resistance.”  Cold Spring Harbor Perspectives in Medicine 6(6):a025197.  Jun 2016.  Read from the PubMed Central PDF; pages are the article's own 1 to 8. A review by the same laboratory that produced D'Costa 2011 and Bhullar 2012.  Mirror:  PMC

    1. 29a.

      Page 1:  “The origin of many modern resistance genes in pathogens is likely environmental bacteria, including antibiotic producing organisms that have existed for millennia.”  Abstract. ↩

    2. 29b.

      Page 2:  “most Streptomyces are resistant to an average of seven to eight antibiotics, including newly developed and clinically important therapeutics”. ↩

  30. 30.

    Weinreich, Daniel M. et al.  “Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins.”  Science 312(5770):111–114.  Apr 7, 2006.  Paywalled at the publisher and reported closed by Unpaywall, OpenAlex, Europe PMC and Semantic Scholar's public API. The full text was obtained from a Wayback capture of a university course mirror of the publisher PDF, with printed folios 111 to 114 in the running feet. The library previously held the abstract only. The PDF interleaves with an unrelated economics Report, so each page was extracted separately, and Table 1 was read off a 110 dpi page image because pdftotext destroys its exponents.  Mirror:  Archive.org

    1. 30a.

      Page 111:  “To characterize the effect on drug resistance of each mutation on all allelic backgrounds, we first constructed the 32 combinations of these five mutations”.  The alleles were built, not evolved. No population size and no waiting time were measured. ↩

    2. 30b.

      Page 111:  “These consist of four missense mutations [A42G, E104K, M182T, and G238S; numbering as in (8)] at clinically important residues (3, 9) and one 5′ noncoding mutation [g4205a; numbering as in (4)], and we denote this high-resistance quintuple mutant TEM*.”  The paper's square brackets are reproduced. The fifth change is not in the protein; it raises expression about 2.5-fold. ↩

    3. 30c.

      Page 111:  “because at least one mutation increases resistance in all other alleles, the fitness landscape is single-peaked”. ↩ ↩

    4. 30d.

      Table 1, page 112:  Cefotaxime minimum inhibitory concentrations in µg/ml for all 32 alleles, median of three replicates, in E. coli DH5α. TEM-1, with none of the five changes, is 0.088. TEM-19, with G238S alone, is 1.4. The quadruple missense mutant with g4205a, designated TEM*, is 4.1 × 10³. Values read off a 110 dpi rendering of the page because the text extraction destroys the exponents. ↩ ↩ ↩

    5. 30e.

      Page 112:  “Applying this population genetic reasoning (12) to the data in Table 1 reveals that 102 of the 120 mutational trajectories from TEM wt to TEM* are selectively inaccessible.”  “Rather, four mutations have negligible or even negative effects on drug resistance in some combinations.” ↩ ↩

    6. 30f.

      Page 112:  “For example, half of all evolutionary realizations will follow just four and two trajectories, respectively, under the equal and correlated fixation probability models.” ↩ ↩

    7. 30g.

      Page 112:  “G238S on the TEM wt background is known to enhance cefotaxime hydrolysis (19–21) but simultaneously to increase aggregation (19) and reduce thermodynamic stability of the enzyme (20, 22).  Conversely, M182T alone modestly reduces hydrolysis (20) while reducing aggregation (19) and increasing thermodynamic stability (20).” ↩

    8. 30h.

      Page 113:  “It now appears that intramolecular interactions render many mutational trajectories selectively inaccessible, which implies that replaying the protein tape of life (28) might be surprisingly repetitive.” ↩

  31. 31.

    The first step is uphill on its own. TEM-19 carries G238S alone and has a cefotaxime minimum inhibitory concentration of 1.4 µg/ml against TEM-1's 0.088, a ratio of 15.9, so about sixteen-fold. Both values are from Table 1 on page 112.30 ↩ ↩

  32. 32.

    Anderson, Kevin L., and Georgia Purdom.  “A creationist perspective of beneficial mutations in bacteria.”  Proceedings of the Sixth International Conference on Creationism, 73–86.  Creation Science Fellowship.  2008.  A conference review by two creationist biologists, Anderson the author of the 2005 CRSQ paper on resistance and Purdom the author of the 2007 Answers article.  It surveys beneficial mutations in bacteria, including resistance, adaptive mutation and nylon degradation, and argues that each is a trade-off or a loss of specificity.  It matters here because it is the two authors' later and narrower statement, which says "typically" where their earlier articles said "all" or "only".

    1. 32a.

      Section Abstract:  “creationists have tended to offer an inconsistent or incomplete perspective of “beneficial mutations” within a creation framework.  This includes the frequent denial that mutations can ever provide a beneficial phenotype”. ↩

    2. 32b.

      Section Antibiotic Resistance:  “While this resistance often results from horizontal transfer of pre-existing resistance genes, a significant number also result from point mutations. … these mutations typically reduce or inactivate cellular systems or functions.”  The omission is two reference numbers and the words "However, as discussed in detail by Anderson," which point to his 2005 paper. ↩ ↩

    3. 32c.

      Section Antibiotic Resistance:  “Like many of the other beneficial mutations just discussed, mutations providing antibiotic resistance are a trade-off.  In fact, they offer a very clear example of antagonistic pleiotropy.” ↩ ↩

    4. 32d.

      Section Nylon Degradation:  “Nonetheless, reduced specificity of a pre-existing enzyme is biochemically degenerative to the enzyme, even if it provides a presumed phenotypic benefit.”  Written about the nylon oligomer hydrolase EII, which kept its parent esterase activity and gained a new substrate. ↩ ↩

  33. 33.

    Knopp, Michael et al.  “De novo emergence of peptides that confer antibiotic resistance.”  mBio 10(3):e00837–19.  2019.  A laboratory selection experiment from Dan Andersson's group at Uppsala.  It expressed libraries of random short open reading frames in E. coli, selected on aminoglycoside plates, found three hydrophobic peptides that raised resistance up to 48-fold, and showed that they work by lowering the membrane's charge.  It is the closest anyone has come to watching resistance arise from sequence that was not a gene, and it reached the same resistance as ordinary mutants that break the respiratory chain.  Mirror:  PMC

    1. 33a.

      Section Abstract:  “Selections on antibiotic-containing agar plates resulted in the identification of three peptides that increased aminoglycoside resistance up to 48-fold.” ↩

    2. 33b.

      Figure 1:  “with a total diversity of 5.82 × 10⁸”.  Five libraries encoding peptides of 10 to 50 amino acids. ↩

    3. 33c.

      Section Results, the subsection on membrane depolarization:  “Whole-genome sequencing of six clones showed that all had mutations in genes associated with electron transport and generation of membrane potential (Table S4).  Overexpression of Arp1 in these mutants did not cause any further increase in kanamycin or amikacin resistance, indicating that the chromosomal mutations and peptides act by a similar mechanism (i.e., reduction in membrane potential)”. ↩

  34. 34.

    Batten, Don.  “Anthrax and antibiotics: Is evolution relevant?”  Creation Ministries International.  Nov 15, 2001.  Dated 15 November 2001 in the article, updated 8 April 2005; the web version was posted 3 February 2006. Batten holds a PhD in plant physiology.

    1. 34a.

      Section Information-losing mutations:  “An enzyme is highly specialized to break down one specific type of chemical very well, and hardly affect other chemicals.  A mutation could reduce its specificity, i.e. it no longer does its main job so well, and affects other chemicals to some extent too.  Normally, a biological system with such a mutation would not function as well, and reduced specificity is reduced information by definition.” ↩

  35. 35.

    Vogwill, T., and R. C. MacLean.  “The genetic basis of the fitness costs of antimicrobial resistance: a meta-analysis approach.”  Evolutionary Applications 8(3):284–295.  Mar 2015.  Already in the library. Covers plasmid-borne resistance, where Melnyk 2015 covers chromosomal mutations.

    1. 35a.

      Mean relative fitness of plasmid-borne resistance about 0.91, from 49 plasmids across 16 studies, as recorded in the selection-coefficient dossier at html/unpublished-ai/population-genetics/research/selection-coefficients.md lines 300 to 301. The figure was not re-checked against the paper for this article and should be verified before it is leaned on. ↩

  36. 36.

    Demerec's volumes check out. A cubic micron is 10⁻¹⁸ cubic metres, which is 10⁻¹⁵ litres. If one cell in 10¹⁶ carries two simultaneous mutations, then 10¹⁶ cells must be searched, and 10¹⁶ × 10⁻¹⁵ litres is 10 litres. For three mutations, 10²⁴ cells occupy 10²⁴ × 10⁻¹⁵ = 10⁹ litres, and 10⁹ litres is 10⁶ cubic metres. Both figures match the ones he printed.4 ↩

  37. 37.

    Behe, Michael J.  “Experimental Evolution, Loss-of-Function Mutations, and 'The First Rule of Adaptive Evolution'.”  The Quarterly Review of Biology 85(4):419–445.  Dec 2010.  Read from the library copy of the author's Lehigh PDF; PDF page N is printed page 418 plus N, and the folio appears in every running head. Two-column, so each page was extracted separately. The full working of Behe's tables and his critics' replies is in Measuring Biological Information.

    1. 37a.

      Page 420:  “the bacterium might acquire a gene or gene cluster by horizontal transfer that leads to expression of a new surface feature that hides the epitope from the mammalian immune system, which would be a gain of a functional molecular feature”. ↩

    2. 37b.

      Page 439:  “the rate of appearance of an adaptive mutation that would arise from the diminishment or elimination of the activity of a protein is expected to be 100–1000 times the rate of appearance of an adaptive mutation that requires specific changes to a gene.  This reasoning can be concisely stated as what I call “The First Rule of Adaptive Evolution”: Break or blunt any functional coded element whose loss would yield a net fitness gain.” ↩

    3. 37c.

      Page 439:  “It is called a “rule” in the sense of being a rule of thumb.  It is a heuristic, useful generalization, rather than a strict law”. ↩