Evidence map›Paper›PMID 41427967›Full record

ArticleCurrent microbiology2025

Comprehensive Phylogenomic Analyses Support the Reclassification of Multiple Bacteroides Species.

Nawel Zaatout, Taha Menasria, Mabrouka Benhadj

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Article in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nawel ZaatoutDepartment of Microbiology and Biochemistry, Faculty of Natural and Life Sciences, University of Batna 2, Batna, 05078, Algeria.ORCID http://orcid.org/0000-0001-6526-374X
Taha MenasriaDepartment of Microbiology and Biochemistry, Faculty of Natural and Life Sciences, University of Batna 2, Batna, 05078, Algeria. t.menasria@univ-batna2.dz.ORCID http://orcid.org/0000-0003-4925-6165
Mabrouka BenhadjDepartment of Applied Biology, Faculty of Exact Sciences and Natural and Life Sciences, Echahid Cheikh Larbi Tebessi University, Tebessa, 12002, Algeria.ORCID http://orcid.org/0000-0003-3694-6423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteroides are among the most dominant members of the human gut microbiota, contributing significantly to host metabolism, immune regulation, and intestinal homeostasis. Despite their beneficial roles, several Bacteroides are also known as opportunistic pathogens. Despite their clinical and ecological significance, taxonomic resolution within this genus remains challenging due to the high genetic similarity among closely related species. In this study, we conducted a comprehensive comparative analysis of the genomic, phylogenetic, and phenotypic characteristics of multiple Bacteroides to clarify their taxonomic relationships including B. humanifaecis, B. rhinocerotis, B. parvus, B. koreensis, B. kribbi, and B. ovatus. Phylogenetic analysis based on 16 S rRNA gene sequences revealed high sequence similarity among the species. Genomic comparisons using overall genome relatedness indices (OGRIs), including average nucleotide identity (ANI), average amino acid identity (AAI), and digital DNA-DNA hybridization (dDDH), consistently exceeded species delineation thresholds, with ANI values ranging from 98.4% to 99.6%, dDDH values exceeded the 70%, and AAI values ranged from 98.1% to 99.5%. These findings were further supported by shared phenotypic and metabolic traits, including similar enzymatic activities and carbohydrate utilization profiles. Based on this evidence, we propose the reclassification of Bacteroides humanifaecis Kim et al. 2023 and Bacteroides rhinocerotis Li et al. 2024 as later heterotypic synonyms of Bacteroides parvus Liu et al. 2022, and Bacteroides koreensis Shin et al. 2017 and Bacteroides kribbi Shin et al. 2017 as later heterotypic synonyms of Bacteroides ovatus Eggerth and Gagnon 1933 (Approved Lists 1980).

Indexed as

BacteroidesGenome, BacterialPhylogenyDNA, BacterialGastrointestinal MicrobiomeGenomicsHumansRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S

Identifiers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.