4.8 Article

Competitive interactions between culturable bacteria are highly non-additive

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ELIFE
卷 12, 期 -, 页码 -

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eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.83398

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microbial communities; community ecology; interspecies interactions; quantitative biology; synthetic ecology; E; coli; Other

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Microorganisms in diverse communities are influenced by interspecific interactions, and the joint effects of multiple species on a single species remain largely unknown. In a study, thousands of bacterial communities were assayed, revealing that the joint effects of multiple species on a focal species are often dominated by the strongest individual-species effect. This finding is significant for understanding the introduction of species into occupied environments and has implications in fields such as medicine, agriculture, and ecology.
Microorganisms are found in diverse communities whose structure and function are determined by interspecific interactions. Just as single species seldom exist in isolation, communities as a whole are also constantly challenged and affected by external species. Though much work has been done on characterizing how individual species affect each other through pairwise interactions, the joint effects of multiple species on a single (focal) species remain underexplored. As such, it is still unclear how single-species effects combine to a community-level effect on a species of interest. To explore this relationship, we assayed thousands of communities of two, three, and four bacterial species, measuring the effect of single, pairs of, and trios of 61 affecting species on six different focal species. We found that when multiple species each have a negative effect on a focal species, their joint effect is typically not given by the sum of the effects of individual affecting species. Rather, they are dominated by the strongest individual-species effect. Therefore, while joint effects of multiple species are often non-additive, they can still be derived from the effects of individual species, making it plausible to map complex interaction networks based on pairwise measurements. This finding is important for understanding the fate of species introduced into an occupied environment and is relevant for applications in medicine and agriculture, such as probiotics and biocontrol agents, as well as for ecological questions surrounding migrating and invasive species.

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