ArticleJournal of bacteriology2014
Revealing the genetic basis of natural bacterial phenotypic divergence.
Article in Journal of bacteriology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Application and Challenge of 3rd Generation Sequencing for Clinical Bacterial Studies.International journal of molecular sciences · 2022Review
- Development of a Genome-Scale Metabolic Model and Phenome Analysis of the ProbioticInternational journal of molecular sciences · 2021Article
- Uncovering carbohydrate metabolism through a genotype-phenotype association study of 56 lactic acid bacteria genomes.Applied microbiology and biotechnology · 2019Article
- Transformed Recombinant Enrichment Profiling Rapidly Identifies HMW1 as an Intracellular Invasion Locus in Haemophilus influenza.PLoS pathogens · 2016Article
- Applications of comparative evolution to human disease genetics.Current opinion in genetics & development · 2015Review
- A set of powerful negative selection systems for unmodified Enterobacteriaceae.Nucleic acids research · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Divergent phenotypes for distantly related strains of bacteria, such as differing antibiotic resistances or organic solvent tolerances, are of keen interest both from an evolutionary perspective and for the engineering of novel microbial organisms and consortia in synthetic biology applications. A prerequisite for any practical application of this phenotypic diversity is knowledge of the genetic determinants for each trait of interest. Sequence divergence between strains is often so extensive as to make brute-force approaches to identifying the loci contributing to a given trait impractical. Here we describe a global linkage analysis approach, GLINT, for rapid discovery of the causal genetic variants underlying phenotypic divergence between distantly related strains of Escherichia coli. This general strategy will also be usable, with minor modifications, for revealing genotype-phenotype associations between naturally occurring strains of other bacterial species.
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