Evidence map›Paper›PMID 39244637›Full record

ArticleCommunications biology2024

Comparative genomics reveal a novel phylotaxonomic order in the genus Fusobacterium.

Cristian Molteni, Diego Forni, Rachele Cagliani, Manuela Sironi

Erratum issuedAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

  1. Divergence of DioeciousMicroorganisms · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Cristian MolteniScientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy. cristian.molteni@lanostrafamiglia.it.ORCID http://orcid.org/0000-0002-7259-9230
Diego ForniScientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy.
Rachele CaglianiScientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy.ORCID http://orcid.org/0000-0003-2670-3532
Manuela SironiScientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy.ORCID http://orcid.org/0000-0002-2267-5266

Funding

Ministero della Salute (Ministry of Health, Italy) Ricerca Corrente
6 · The paper itself

Abstract

Fusobacteria have been associated to different diseases, including colorectal cancer (CRC), but knowledge of which taxonomic groups contribute to specific conditions is incomplete. We analyzed the genetic diversity and relationships within the Fusobacterium genus. We report recent and ancestral recombination in core genes, indicating that fusobacteria have mosaic genomes and emphasizing that taxonomic demarcation should not rely on single genes/gene regions. Across databases, we found ample evidence of species miss-classification and of undescribed species, which are both expected to complicate disease association. By focusing on a lineage that includes F. periodonticum/pseudoperiodonticum and F. nucleatum, we show that genomes belong to four modern populations, but most known species/subspecies emerged from individual ancestral populations. Of these, the F. periodonticum/pseudoperiodonticum population experienced the lowest drift and displays the highest genetic diversity, in line with the less specialized distribution of these bacteria in oral sites. A highly drifted ancestral population instead contributed genetic ancestry to a new species, which includes genomes classified within the F. nucleatum animalis diversity in a recent CRC study. Thus, evidence herein calls for a re-analysis of F. nucleatum animalis features associated to CRC. More generally, our data inform future molecular profiling approaches to investigate the epidemiology of Fusobacterium-associated diseases.

Indexed as

FusobacteriumGenome, BacterialGenomicsPhylogenyFusobacterium InfectionsGenetic VariationHumans

Identifiers

PMID39244637
PMCPMC11380691

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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.