ArticleEvolution; international journal of organic evolution2020
Artificially selecting bacterial communities using propagule strategies.
Article in Evolution; international journal of organic evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Translational microbiomes in agriculture: microbial communities as tools to effect host and system health for improved crop production.Applied and environmental microbiology · 2026Review
- Fit for purpose: evaluation and evolution of agricultural bioinoculants across production landscapes.ISME communications · 2026Review
- Novel artificial selection method improves function of simulated microbial communities.PLoS computational biology · 2026Article
- Community Complexity Does Not Weaken Pairwise Coevolution in a Soil Bacterial Community.Ecology letters · 2025Article
- The success of artificial selection for collective composition hinges on initial and target values.eLife · 2025Article
- Macroecological patterns in experimental microbial communities.PLoS computational biology · 2025Article
- Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges.Foods (Basel, Switzerland) · 2025Review
- Synthetic communities as a model for determining interactions between a biofertilizer chassis organism and native microbial consortia.The ISME journal · 2025Article
- Artificial selection improves pollutant degradation by bacterial communities.Nature communications · 2024Article
- Enhancing phosphate-solubilising microbial communities through artificial selection.Nature communications · 2024Article
- Pulsed, continuous or somewhere in between? Resource dynamics matter in the optimisation of microbial communities.The ISME journal · 2023Article
- The effectiveness of artificial microbial community selection: a conceptual framework and a meta-analysis.Frontiers in microbiology · 2023Article
- Ecological landscapes guide the assembly of optimal microbial communities.PLoS computational biology · 2023Article
- Guided by the principles of microbiome engineering: Accomplishments and perspectives for environmental use.mLife · 2022Review
- Artificial selection methods from evolutionary computing show promise for directed evolution of microbes.eLife · 2022Article
- Artificial Selection on Microbiomes To Breed Microbiomes That Confer Salt Tolerance to Plants.mSystems · 2021Article
- Steering ecological-evolutionary dynamics to improve artificial selection of microbial communities.Nature communications · 2021Article
- Closed microbial communities self-organize to persistently cycle carbon.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Engineering complex communities by directed evolution.Nature ecology & evolution · 2021Article
- An evolutionary algorithm for designing microbial communities via environmental modification.Journal of the Royal Society, Interface · 2021Article
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4 authors.
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Abstract
Artificial selection is a promising approach to manipulate microbial communities. Here, we report the outcome of two artificial selection experiments at the microbial community level. Both used "propagule" selection strategies, whereby the best-performing communities are used as the inocula to form a new generation of communities. Both experiments were contrasted to a random selection control. The first experiment used a defined set of strains as the starting inoculum, and the function under selection was the amylolytic activity of the consortia. The second experiment used multiple soil communities as the starting inocula, and the function under selection was the communities' cross-feeding potential. In both experiments, the selected communities reached a higher mean function than the control. In the first experiment, this was caused by a decline in function of the control, rather than an improvement of the selected line. In the second experiment, this response was fueled by the large initial variance in function across communities, and stopped when the top-performing community "fixed" in the metacommunity. Our results are in agreement with basic expectations from breeding theory, pointing to some of the limitations of community-level selection experiments that can inform the design of future studies.
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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.