ArticleGenome biology2009
Metabolic-network-driven analysis of bacterial ecological strategies.
Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
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- The Reverse Ecology-Based Approach to Design a Bacterial Consortium as Soybean Bioinoculant.Current microbiology · 2024Article
- Relative dispersion ratios following fecal microbiota transplant elucidate principles governing microbial migration dynamics.Nature communications · 2024Article
- A social niche breadth score reveals niche range strategies of generalists and specialists.Nature ecology & evolution · 2023Article
- The impact of microbiome dysbiosis on T cell function within the tumor microenvironment (TME).Frontiers in cell and developmental biology · 2023Review
- Replication-Dependent Organization Constrains Positioning of Long DNA Repeats in Bacterial Genomes.Genome biology and evolution · 2022Article
- Understanding Interaction Patterns within Deep-Sea Microbial Communities and Their Potential Applications.Marine drugs · 2022Review
- Trait-trait relationships and tradeoffs vary with genome size in prokaryotes.Frontiers in microbiology · 2022Article
- Codon usage bias and environmental adaptation in microbial organisms.Molecular genetics and genomics : MGG · 2021Article
- Seeding Biochemistry on Other Worlds: Enceladus as a Case Study.Astrobiology · 2021Article
- Metabolic modelling approaches for describing and engineering microbial communities.Computational and structural biotechnology journal · 2021Review
- NetMet: A Network-Based Tool for Predicting Metabolic Capacities of Microbial Species and their Interactions.Microorganisms · 2020Article
- Construction, comparison and evolution of networks in life sciences and other disciplines.Journal of the Royal Society, Interface · 2020Article
- Article
- Rapid diagnosis and comprehensive bacteria profiling of sepsis based on cell-free DNA.Journal of translational medicine · 2020Article
- Article
- Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome.eLife · 2019Article
- Evolution of resilience in protein interactomes across the tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
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7 authors.
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Abstract
backgroundThe growth-rate of an organism is an important phenotypic trait, directly affecting its ability to survive in a given environment. Here we present the first large scale computational study of the association between ecological strategies and growth rate across 113 bacterial species, occupying a variety of metabolic habitats. Genomic data are used to reconstruct the species' metabolic networks and habitable metabolic environments. These reconstructions are then used to investigate the typical ecological strategies taken by organisms in terms of two basic species-specific measures: metabolic variability--the ability of a species to survive in a variety of different environments; and co-habitation score vector--the distribution of other species that co-inhabit each environment.
resultsWe find that growth rate is significantly correlated with metabolic variability and the level of co-habitation (that is, competition) encountered by an organism. Most bacterial organisms adopt one of two main ecological strategies: a specialized niche with little co-habitation, associated with a typically slow rate of growth; or ecological diversity with intense co-habitation, associated with a typically fast rate of growth.
conclusionsThe pattern observed suggests a universal principle where metabolic flexibility is associated with a need to grow fast, possibly in the face of competition. This new ability to produce a quantitative description of the growth rate-metabolism-community relationship lays a computational foundation for the study of a variety of aspects of the communal metabolic life.
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