Evidence map›Paper›PMID 40122838›Full record

ArticleGenome biology2025

aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.

Dalimil Bujdoš, Jens Walter, Paul W O'Toole

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
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.

Dalimil BujdošAPC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland.
Jens WalterAPC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland.
Paul W O'TooleAPC Microbiome Ireland, University College Cork, National University of Ireland, Cork, Ireland. pwotoole@ucc.ie.

Funding

APC Microbiome Institute 12/RC/2273_P2APC Microbiome Institute 19/RP/6853
6 · The paper itself

Abstract

A primary goal of microbial genome-wide association studies is identifying genomic variants associated with a particular habitat. Existing tools fail to identify known causal variants if the analyzed trait shaped the phylogeny. Furthermore, due to inclusion of allochthonous strains or metadata errors, the stated sources of strains in public databases are often incorrect, and strains may not be adapted to the habitat from which they were isolated. We describe a new tool, aurora, that identifies autochthonous strains and the genes associated with habitats while acknowledging the potential role of the habitat adaptation trait in shaping phylogeny.

Indexed as

Adaptation, PhysiologicalEcosystemGenome-Wide Association StudyMachine LearningSoftwarePhylogenyAllochthonousAutochthonousGWASHabitat adaptationLactiplantibacillus plantarumLimosilactobacillus reuteriMachine learningMicrobial GWASMycobacterium paratuberculosisSalmonella Typhimurium

Identifiers

PMID40122838
PMCPMC11930000

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.