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Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms
Common garden experiments that inoculate a standardised growth medium with synthetic microbial communities (i.e. constructed from individual isolates or using dilution cultures) suggest that the ability of the community to resist invasions by additional microbial taxa can be predicted by the overall...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523168/ https://www.ncbi.nlm.nih.gov/pubmed/34662276 http://dx.doi.org/10.7554/eLife.71811 |
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author | Jones, Matt Lloyd Rivett, Damian William Pascual-García, Alberto Bell, Thomas |
author_facet | Jones, Matt Lloyd Rivett, Damian William Pascual-García, Alberto Bell, Thomas |
author_sort | Jones, Matt Lloyd |
collection | PubMed |
description | Common garden experiments that inoculate a standardised growth medium with synthetic microbial communities (i.e. constructed from individual isolates or using dilution cultures) suggest that the ability of the community to resist invasions by additional microbial taxa can be predicted by the overall community productivity (broadly defined as cumulative cell density and/or growth rate). However, to the best of our knowledge, no common garden study has yet investigated the relationship between microbial community composition and invasion resistance in microcosms whose compositional differences reflect natural, rather than laboratory-designed, variation. We conducted experimental invasions of two bacterial strains (Pseudomonas fluorescens and Pseudomonas putida) into laboratory microcosms inoculated with 680 different mixtures of bacteria derived from naturally occurring microbial communities collected in the field. Using 16S rRNA gene amplicon sequencing to characterise microcosm starting composition, and high-throughput assays of community phenotypes including productivity and invader survival, we determined that productivity is a key predictor of invasion resistance in natural microbial communities, substantially mediating the effect of composition on invasion resistance. The results suggest that similar general principles govern invasion in artificial and natural communities, and that factors affecting resident community productivity should be a focal point for future microbial invasion experiments. |
format | Online Article Text |
id | pubmed-8523168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-85231682021-10-20 Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms Jones, Matt Lloyd Rivett, Damian William Pascual-García, Alberto Bell, Thomas eLife Ecology Common garden experiments that inoculate a standardised growth medium with synthetic microbial communities (i.e. constructed from individual isolates or using dilution cultures) suggest that the ability of the community to resist invasions by additional microbial taxa can be predicted by the overall community productivity (broadly defined as cumulative cell density and/or growth rate). However, to the best of our knowledge, no common garden study has yet investigated the relationship between microbial community composition and invasion resistance in microcosms whose compositional differences reflect natural, rather than laboratory-designed, variation. We conducted experimental invasions of two bacterial strains (Pseudomonas fluorescens and Pseudomonas putida) into laboratory microcosms inoculated with 680 different mixtures of bacteria derived from naturally occurring microbial communities collected in the field. Using 16S rRNA gene amplicon sequencing to characterise microcosm starting composition, and high-throughput assays of community phenotypes including productivity and invader survival, we determined that productivity is a key predictor of invasion resistance in natural microbial communities, substantially mediating the effect of composition on invasion resistance. The results suggest that similar general principles govern invasion in artificial and natural communities, and that factors affecting resident community productivity should be a focal point for future microbial invasion experiments. eLife Sciences Publications, Ltd 2021-10-18 /pmc/articles/PMC8523168/ /pubmed/34662276 http://dx.doi.org/10.7554/eLife.71811 Text en © 2021, Jones et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Ecology Jones, Matt Lloyd Rivett, Damian William Pascual-García, Alberto Bell, Thomas Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title | Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title_full | Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title_fullStr | Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title_full_unstemmed | Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title_short | Relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
title_sort | relationships between community composition, productivity and invasion resistance in semi-natural bacterial microcosms |
topic | Ecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523168/ https://www.ncbi.nlm.nih.gov/pubmed/34662276 http://dx.doi.org/10.7554/eLife.71811 |
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