Understanding microbial community dynamics to improve optimal microbiome selection
Abstract Background Artificial selection of microbial communities that perform better at a desired process has seduced scientists for over a decade, but the method has not been systematically optimised nor the mechanisms behind its success, or failure, determined. Microbial communities are highly dy...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
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Series: | Microbiome |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40168-019-0702-x |