ArticleBMC genomics2014
Comparative genomics of 274 Vibrio cholerae genomes reveals mobile functions structuring three niche dimensions.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Genomic evolution and climate related drivers of cholera surges in Dhaka Bangladesh between 1996 and 2024.Communications medicine · 2026Article
- Article
- Beyond to the Stable: Role of the Insertion Sequences as Epidemiological Descriptors inFrontiers in microbiology · 2022Article
- Genomic insights into Vibrio cholerae O1 responsible for cholera epidemics in Tanzania between 1993 and 2017.PLoS neglected tropical diseases · 2019Article
- Comparative genomics for non-O1/O139 Vibrio cholerae isolates recovered from the Yangtze River Estuary versus V. cholerae representative isolates from serogroup O1.Molecular genetics and genomics : MGG · 2019Article
- Revisiting the Global Epidemiology of Cholera in Conjuction With the Genomics ofFrontiers in public health · 2019Review
- Analysis of Vibrio seventh pandemic island II and novel genomic islands in relation to attachment sequences among a wide variety of Vibrio cholerae strains.Microbiology and immunology · 2018Article
- Computational pan-genomics: status, promises and challenges.Briefings in bioinformatics · 2018Review
- Antimicrobial resistance ofAfrican journal of laboratory medicine · 2018Review
- A genomic investigation of ecological differentiation between free-living and Drosophila-associated bacteria.Molecular ecology · 2017Article
- Insights of Phage-Host Interaction in Hypersaline Ecosystem through Metagenomics Analyses.Frontiers in microbiology · 2017Article
- Article
- Next-generation sequencing (NGS) for assessment of microbial water quality: current progress, challenges, and future opportunities.Frontiers in microbiology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVibrio cholerae is a globally dispersed pathogen that has evolved with humans for centuries, but also includes non-pathogenic environmental strains. Here, we identify the genomic variability underlying this remarkable persistence across the three major niche dimensions space, time, and habitat.
resultsTaking an innovative approach of genome-wide association applicable to microbial genomes (GWAS-M), we classify 274 complete V. cholerae genomes by niche, including 39 newly sequenced for this study with the Ion Torrent DNA-sequencing platform. Niche metadata were collected for each strain and analyzed together with comprehensive annotations of genetic and genomic attributes, including point mutations (single-nucleotide polymorphisms, SNPs), protein families, functions and prophages.
conclusionsOur analysis revealed that genomic variations, in particular mobile functions including phages, prophages, transposable elements, and plasmids underlie the metadata structuring in each of the three niche dimensions. This underscores the role of phages and mobile elements as the most rapidly evolving elements in bacterial genomes, creating local endemicity (space), leading to temporal divergence (time), and allowing the invasion of new habitats. Together, we take a data-driven approach for comparative functional genomics that exploits high-volume genome sequencing and annotation, in conjunction with novel statistical and machine learning analyses to identify connections between genotype and phenotype on a genome-wide scale.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.