Microbial GenomicsBioinformaticsPeer-reviewed journal article
GeneScanner: profiling genetic variation across bacterial populations
Carolin Martina KobrasiD, Ko, Seungwon, Priyanshu Singh RaikwariD, Broncio Aguilar-SanjuaniD, Keith A. JolleyiD, Samuel Keir SheppardiD
Abstract
Rapid, low-cost genome sequencing has transformed microbiology, advancing efforts to link genetic and phenotypic variation. In laboratory settings, genome-wide functional screens of reference strains are revealing genes and mechanisms underlying important phenotypes. Simultaneously, population-scale comparative genomics describes the breadth of natural genetic and phenotypic diversity across lineages. These approaches provide complementary but contrasting information. Whereas laboratory studies offer causal understanding within simplified systems, population-level analyses capture ecological realism but are largely limited to detecting associations rather than cause-and-effect relationships. Linking laboratory-derived mutations to natural population variation remains challenging, particularly for researchers lacking bioinformatics expertise. Here, we present GeneScanner, a user-friendly tool that facilitates analysis of gene- and protein-level variation across large bacterial genome collections. GeneScanner detects genetic variation and amino acid substitutions in homologous sequence and supports genotype-phenotype association studies. By bridging laboratory functional genomics data with genomic diversity across natural populations, GeneScanner enhances functional interpretation of microbial variation in the real world, supporting research in antimicrobial resistance, virulence, and pathogen surveillance.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: variant effect prediction
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 31th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PanGene-O-Meter: Intra-Species Diversity Based on Gene-Content
Haim Ashkenazy, Detlef Weigel·bioRxiv·Sep 1, 2025
- A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes
Nicole E Wheeler, Lars Barquist, … Paul P Gardner·BioinformaticsPeer-reviewed·Aug 8, 2016
- The In Silico Genotyper (ISG): an open-source pipeline to rapidly identify and annotate nucleotide variants for comparative genomics applications
Jason W. Sahl, Stephen M. Beckstrom-Sternberg, … Talima Pearson·bioRxiv·Feb 20, 2015
- Accurate and fast graph-based pangenome annotation and clustering with ggCaller
Samuel Horsfield, Gerry Q. Tonkin‐Hill, … John A. Lees·Genome ResearchPeer-reviewed·Sep 1, 2023
- microGWAS: a computational pipeline to perform large scale bacterial genome-wide association studies
Judit Burgaya, Bamu F. Damaris, … Marco Galardini·Microbial GenomicsPeer-reviewed·Feb 11, 2025
- Real-time search of all bacterial and viral genomic data
Phelim Bradley, Henk C. den Bakker, … Zamin Iqbal·Nature BiotechnologyPeer-reviewed·Feb 1, 2019