ArticleiScience2022
Horizontal gene transfer drives the evolution of dependencies in bacteria.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Genomic and proteomic analyses of the maize root isolateApplied and environmental microbiology · 2026Article
- Mechanisms and Therapeutic Potential of Nutritional Immunity.Pathogens (Basel, Switzerland) · 2026Review
- Molecular evolution and diversity of isomerase-reductase clusters involved in the bacterial metabolism of glycosaminoglycans.mSphere · 2026Article
- PlasAnn: a curated plasmid-specific database and annotation pipeline for standardized gene and function analysis.Nucleic acids research · 2026Article
- Characterization of aFrontiers in cellular and infection microbiology · 2026Article
- Genetic exchange networks bridge mobile DNA vehicles in the bacterial pathogen Listeria monocytogenes.Nature communications · 2025Article
- Phyto-Algal Consortia as a Complementary System for Wastewater Treatment and Biorefinery.Plants (Basel, Switzerland) · 2025Review
- The evolution of autonomy from two cooperative specialists in fluctuating environments.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Predicting horizontal gene transfers with perfect transfer networks.Algorithms for molecular biology : AMB · 2024Article
- OvercomingACS omega · 2023Review
- Article
- Insights on the Evolutionary Genomics of theFrontiers in microbiology · 2021Article
- Review
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1 author.
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Abstract
Many naturally occurring bacteria lead a lifestyle of metabolic dependency for crucial resources. We do not understand what factors drive bacteria toward this lifestyle and how. Here, we systematically show the crucial role of horizontal gene transfer (HGT) in dependency evolution in bacteria. Across 835 bacterial species, we map gene gain-loss dynamics on a deep evolutionary tree and assess the impact of HGT and gene loss on metabolic networks. Our analyses suggest that HGT-enabled gene gains can affect which genes are later lost. HGT typically adds new catabolic routes to bacterial metabolic networks, leading to new metabolic interactions between bacteria. We also find that gaining new routes can promote the loss of ancestral routes ("coupled gains and losses", CGLs). Phylogenetic patterns indicate that both dependencies-mediated by CGLs and those purely by gene loss-are equally likely. Our results highlight HGT as an important driver of metabolic dependency evolution in bacteria.
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