ArticleEvolution; international journal of organic evolution2019
Selection for novel metabolic capabilities in Salmonella enterica.
Article in Evolution; international journal of organic evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed.
- The Gfr Uptake System Provides a Context-Dependent Fitness Advantage to Salmonella Typhimurium SL1344 During the Initial Gut Colonization Phase.Molecular microbiology · 2025Article
- Interspecies interaction alters the trajectory of antibiotic resistance evolution by amplifying negative fitness epistasis.The ISME journal · 2025Article
- Succinate utilisation by Salmonella is inhibited by multiple regulatory systems.PLoS genetics · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Bacteria are known to display extensive metabolic diversity and many studies have shown that they can use an extensive repertoire of small molecules as carbon- and energy sources. However, it is less clear to what extent a bacterium can expand its existing metabolic capabilities by acquiring mutations that, for example, rewire its metabolic pathways. To investigate this capability and potential for evolution of novel phenotypes, we sampled large populations of mutagenized Salmonella enterica to select very rare mutants that can grow on minimal media containing 124 low molecular weight compounds as sole carbon sources. We found mutants growing on 18 of these novel carbon sources, and identified the causal mutations that allowed growth for four of them. Mutations that relieve physiological constraints or increase expression of existing pathways were found to be important contributors to the novel phenotypes. For the remaining 14 novel phenotypes, whole genome sequencing of independent mutants and genetic analysis suggested that these novel metabolic phenotypes result from a combination of multiple mutations. This work, by virtue of identifying the genetic and mechanistic basis for new metabolic capabilities, sheds light on the properties of adaptive landscapes underlying the evolution of novel phenotypes.
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