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<i>Pseudobacteroides</i>

2020· other· en· W4255537512 on OpenAlexaboutno aff
Akio Tonouchi

Bibliographic record

VenueBergey's Manual of Systematics of Archaea and Bacteria · 2020
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFirmicutesClostridiaBiologyBacteroidesFermentationBacteroidetes16S ribosomal RNAMicrobiologyBacteriaClostridiumBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Pseu.do.bac.te.ro'i.des. Gr. adj. pseudês false; N.L. masc. n. Bacteroides a bacterial generic name; N.L. masc. n. Pseudobacteroides false Bacteroides , so named for the original misclassification of the type species. Cells are Gram‐stain‐negative, thermotolerant, non‐spore‐forming, nonmotile, and strictly anaerobic rods (0.8–6 μm), occurring singly, in pairs, or occasionally in chains of up to eight cells. Cells grow at 20–45°C, with an optimum at 40°C and pH 6.0–8.0, with an optimum at 7.0. Cells tolerate the heat treatment at 75°C for 10 min. Growth occurs by anaerobic fermentation of cellobiose and recalcitrant cellulosic materials. The major fermentation products are acetate, ethanol, H 2 , and CO 2 . The major cellular fatty acids are C 16:0 , iso‐C 15:0 , and C 16:0 . The closest relative of the genus Pseudobacteroides is the genus Anaerobacterium based on 16S rRNA gene sequence analysis. Phylogenetically, a member of the family Oscillospiraceae in the phylum Firmicutes . The genus Pseudobacteroides contains one species with a validly published name Pseudobacteroides cellulosolvens isolated from a methanogenic cellulose enrichment culture of municipal sewage sludge in Canada. DNA G + C content (mol%) : 35.6 (genome analysis). Type species : Pseudobacteroides cellulosolvens Horino et al. 2014 VP ( Bacteroides cellulosolvens Murray et al. 1984 VP ). Taxonomic and Nomenclature Notes According to the List of Prokaryotic names with Standing in Nomenclature (LPSN), the taxonomic status of the genus Pseudobacteroides is: correct name (last update, February 2025) * . LPSN classification: Bacteria / Bacillati / Bacillota / Clostridia / Eubacteriales / Oscillospiraceae / Pseudobacteroides The genus Pseudobacteroides can also be recovered in the Genome Taxonomy Database (GTDB) as g__Pseudobacteroides (version v220) ** . GTDB classification: d__Bacteria / p__Bacillota_A / c__Clostridia / o__Acetivibrionales / f__DSM-2933 / g__Pseudobacteroides * Meier‐Kolthoff et al. ( 2022 ). Nucleic Acids Res , 50 , D801 – D807 ; DOI: 10.1093/nar/gkab902 ** Parks et al. ( 2022 ). Nucleic Acids Res , 50 , D785 – D794 ; DOI:

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.123
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1230.104

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 head0.009
GPT teacher head0.226
Teacher spread0.216 · 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
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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