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Record W2945063085 · doi:10.1371/journal.pgen.1008166

How microbes “jeopardize” the modern synthesis

2019· editorial· en· W2945063085 on OpenAlexafffund
Aaron Novick, W. Ford Doolittle

Bibliographic record

VenuePLoS Genetics · 2019
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEvolution and Genetic Dynamics
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyComputational biologyEvolutionary biology

Abstract

fetched live from OpenAlex

The title of this series of reviews is, "How Microbes 'Jeopardize' the Modern Synthesis."To understand how the study of microbial evolution is changing evolutionary theory, it is important to understand what evolutionary theory is.One common view is that the modern synthesis furnished a general, unified theory of evolution, and that new findings about microbes show that this theory is false in important ways and must be replaced by a new, equally general and unified theory [1][2][3].But there are other (and we think better) ways to think about this, focused not on theoretical conflict but on theoretical integration [4].One better way is to see evolutionary theory as a toolkit of explanatory resources, which may be variously combined to explain evolutionary phenomena of interest [5][6][7]).These resources are neither true nor false in themselves.Rather, they are applicable or inapplicable to particular episodes or patterns in evolutionary history.For example, the Stable Ecotype Model describes a possible pattern of speciation.The model itself is neither true nor false; the appropriate question is how well it captures actual cases of speciation [8].Perhaps if it never applied, it could be declared false, but in biology one should never say "never."This toolkit is the core of evolutionary theory.As it develops, biologists make claims about the range and nature of circumstances in which particular resources are applicable-call these "scope claims".Scope claims are relative to the state of biological science at a given time: what problems are of most concern, what alternative resources are available, and what organisms are most centrally studied.Scope claims are thus ephemeral products of their time, even as the explanatory resources they concern endure [9].The strongest claims about microbes "jeopardizing" the modern synthesis turn on (a) identifying the synthetic theory with particular scope claims and (b) stripping those scope claims from their initial context of utterance.For instance, the prevalence of lateral gene transfer (LGT) among microbes might be seen as a challenge to the gradualism of the synthesis.But let us place that gradualism in its historical context.First, the synthesis primarily studied sexually reproducing populations, and often explicitly excluded microbes [10][11].Second, debates over gradualism in this period primarily concerned the adequacy of gradualistic theories of speciation [12][13][14].LGT is not primarily a speciation mechanism; indeed, it rather complicates the very idea of bacterial species [15][16][17][18].Debates about the role of LGT in evolution are by and large not part of the same debate over gradualism that was so central to the synthesis.The blame for such confusions does not lie entirely with the critics of the synthesis.Proponents have also given undue importance to their scope claims, treating the synthesis as having furnished a general theory of evolution.But there is good reason to think there never was and never can be such a theory, unless it is something so general as to be uninformative, such as: the current diversity and adaptedness of organisms is best understood as the result of genetic and ecological processes (which we for the most part understand) operating over the last four

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0060.005
Open science0.0020.002
Research integrity0.0080.015
Insufficient payload (model declined to judge)0.0060.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.214
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2019
Admission routes2
Has abstractyes

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