气候变化领域集成服务门户(CCPortal): Ecological modelling approaches for predicting emergent properties in microbial communities

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DOI	10.1038/s41559-022-01746-7
	Ecological modelling approaches for predicting emergent properties in microbial communities
	van den Berg N.I.; Machado D.; Santos S.; Rocha I.; Chacón J.; Harcombe W.; Mitri S.; Patil K.R.
发表日期	2022
ISSN	2397-334X
英文摘要	Recent studies have brought forward the critical role of emergent properties in shaping microbial communities and the ecosystems of which they are a part. Emergent properties—patterns or functions that cannot be deduced linearly from the properties of the constituent parts—underlie important ecological characteristics such as resilience, niche expansion and spatial self-organization. While it is clear that emergent properties are a consequence of interactions within the community, their non-linear nature makes mathematical modelling imperative for establishing the quantitative link between community structure and function. As the need for conservation and rational modulation of microbial ecosystems is increasingly apparent, so is the consideration of the benefits and limitations of the approaches to model emergent properties. Here we review ecosystem modelling approaches from the viewpoint of emergent properties. We consider the scope, advantages and limitations of Lotka–Volterra, consumer–resource, trait-based, individual-based and genome-scale metabolic models. Future efforts in this research area would benefit from capitalizing on the complementarity between these approaches towards enabling rational modulation of complex microbial ecosystems. ? 2022, Springer Nature Limited.
语种	英语
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/257170
作者单位	Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, United Kingdom; Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway; Centre of Biological Engineering, University of Minho, Braga, Portugal; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal; Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, MN, United States; Département de Microbiologie Fondamentale, University of Lausanne, Lausanne, Switzerland
推荐引用方式 GB/T 7714	van den Berg N.I.,Machado D.,Santos S.,et al. Ecological modelling approaches for predicting emergent properties in microbial communities[J],2022.
APA	van den Berg N.I..,Machado D..,Santos S..,Rocha I..,Chacón J..,...&Patil K.R..(2022).Ecological modelling approaches for predicting emergent properties in microbial communities.Nature Ecology & Evolution.
MLA	van den Berg N.I.,et al."Ecological modelling approaches for predicting emergent properties in microbial communities".Nature Ecology & Evolution (2022).