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Record W4406685570 · doi:10.1093/ismejo/wraf011

Led astray by 16S rRNA: phylogenomics reaffirms the monophyly of <i>Methylobacterium</i> and lack of support for <i>Methylorubrum</i> as a genus

2025· review· en· W4406685570 on OpenAlexafffund
Sergey Stolyar, Christopher J. Marx, Jean‐Baptiste Leducq

Bibliographic record

VenueThe ISME Journal · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsBiologyMethylobacteriumMonophylyPhylogenomicsCladePhylogeneticsTaxonomy (biology)16S ribosomal RNAEvolutionary biologyGenusBotanyGeneticsGene

Abstract

fetched live from OpenAlex

Although the 16S (and 18S) rRNA gene has been an essential tool in classifying prokaryotes, using a single locus to revise bacteria taxonomy can introduce unwanted artifacts. There was a recent proposition to split the Methylobacterium genus, which contains diverse plant-associated strains and is important for agriculture and biotechnology, into two genera. Resting strongly on the phylogeny of 16S rRNA, 11 species of Methylobacterium were transferred to a newly proposed genus Methylorubrum. Numerous recent studies have independently questioned Methylorubrum as a valid genus, but the prior revision has left discrepancies among taxonomic databases. Here, we review phylogenomic and phenotypic evidence against Methylorubrum as a genus and call for its abandonment. Because Methylobacterium sensu lato forms a consistent and monophyletic genus, we argue for the restoration of the former and consensual Methylobacterium taxonomy. The large genomic, phenotypic, and ecological diversity within Methylobacterium however suggests complex evolutionary and adaptive processes and support the description of the most basal clade of Methylobacterium (group C) as a distinct genus in future work. Overall, this perspective demonstrates the danger of solely relying upon the 16S rRNA gene as a delimiter of genus level taxonomy and that further attempts must include more robust phenotypic and phylogenomic criteria.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.308
Teacher spread0.286 · 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 designObservational
Domainnot available
GenreReview

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

Citations13
Published2025
Admission routes2
Has abstractyes

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