Evidence map›Paper›PMID 42228609›Full record

ArticleMicrobial genomics2026

GeneScanner: profiling genetic variation across bacterial populations.

Carolin M Kobras, Seungwon Ko, Priyanshu S Raikwar, Broncio Aguilar-Sanjuan, Keith A Jolley, Samuel K Sheppard

Abstract read
In one paragraph

Article in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Carolin M KobrasSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Seungwon KoDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Priyanshu S RaikwarDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Broncio Aguilar-SanjuanDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Keith A JolleyDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Samuel K SheppardDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid, low-cost genome sequencing has transformed microbiology, advancing efforts to link genetic and phenotypic variation across diverse bacterial systems. Laboratory functional screens now uncover causal mechanisms underlying key traits in simplified systems, such as drug resistance, pathogenicity and metabolic adaptation, while population-scale comparative genomics reveal the immense natural diversity associated with these traits in real-world settings. Despite their complementary strengths, these approaches remain challenging to integrate, especially for researchers without advanced bioinformatics skills. This skills gap can constrain the capacity to reveal the mechanisms underlying microbial traits and evolutionary adaptations. We developed GeneScanner to aid user-friendly analyses of gene- and protein-level variation across large bacterial genome collections. GeneScanner detects genetic variants and amino acid substitutions in homologous sequences to improve functional interpretation of microbial variation. Using synthetic data and three case studies across different species and phenotypes, we show that GeneScanner reliably identifies nucleotide and protein-level variants associated with specific traits. The presented examples highlight the broad applicability of GeneScanner in microbial genomics, enabling research across diverse fields, such as antimicrobial resistance, host-pathogen interactions, microbial evolution, epidemiology and public health.

Indexed as

BacteriaGenetic VariationSoftwareComputational BiologyDrug Resistance, BacterialGenome, BacterialGenomicsPhenotypeantimicrobial resistancebiofilmbioinformaticscomparative genomicsgenetic variationhost associationmutation analysisvariant calling

Identifiers

PMID42228609
PMCPMC13229410

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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.