气候变化领域集成服务门户(CCPortal): Engineering complex communities by directed evolution

CCPortal

DOI	10.1038/s41559-021-01457-5
	Engineering complex communities by directed evolution
	Chang C.-Y.; Vila J.C.C.; Bender M.; Li R.; Mankowski M.C.; Bassette M.; Borden J.; Golfier S.; Sanchez P.G.L.; Waymack R.; Zhu X.; Diaz-Colunga J.; Estrela S.; Rebolleda-Gomez M.; Sanchez A.
发表日期	2021
ISSN	2397-334X
起始页码	1011
结束页码	1023
卷号	5 期号:7
英文摘要	Directed evolution has been used for decades to engineer biological systems at or below the organismal level. Above the organismal level, a small number of studies have attempted to artificially select microbial ecosystems, with uneven and generally modest success. Our theoretical understanding of artificial ecosystem selection is limited, particularly for large assemblages of asexual organisms, and we know little about designing efficient methods to direct their evolution. Here, we have developed a flexible modelling framework that allows us to systematically probe any arbitrary selection strategy on any arbitrary set of communities and selected functions. By artificially selecting hundreds of in silico microbial metacommunities under identical conditions, we first show that the main breeding methods used to date, which do not necessarily let communities reach their ecological equilibrium, are outperformed by a simple screen of sufficiently mature communities. We then identify a range of alternative directed evolution strategies that, particularly when applied in combination, are well suited for the top-down engineering of large, diverse and stable microbial consortia. Our results emphasize that directed evolution allows an ecological structure–function landscape to be navigated in search of dynamically stable and ecologically resilient communities with desired quantitative attributes. ? 2021, The Author(s), under exclusive licence to Springer Nature Limited.
语种	英语
scopus关键词	ecosystem; Ecosystem
来源期刊	Nature Ecology & Evolution
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256920
作者单位	Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, United States; Microbial Sciences Institute, Yale University, New Haven, CT, United States; Department of Immunobiology and Department of Laboratory Medicine, Yale University, New Haven, CT, United States; Biomedical Sciences Graduate Program, University of California San Francisco, San Francisco, CA, United States; Department of Molecular & Cellular Biology, University of California Berkeley, Berkeley, CA, United States; Max Planck Institute of Molecular Cell Biology and Genetics, and Max Planck Institute for the Physics of Complex Systems, Dresden, Germany; European Molecular Biology Laboratory (EMBL), Developmental Biology Unit, Heidelberg, Germany; Department of Developmental and Cell Biology, University of California Irvine, Irvine, CA, United States; Department of Biomedical Engineering and the Biological Design Center, Boston University, Boston, MA, United States
推荐引用方式 GB/T 7714	Chang C.-Y.,Vila J.C.C.,Bender M.,et al. Engineering complex communities by directed evolution[J],2021,5(7).
APA	Chang C.-Y..,Vila J.C.C..,Bender M..,Li R..,Mankowski M.C..,...&Sanchez A..(2021).Engineering complex communities by directed evolution.Nature Ecology & Evolution,5(7).
MLA	Chang C.-Y.,et al."Engineering complex communities by directed evolution".Nature Ecology & Evolution 5.7(2021).