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测量物种丰富群落中的协同进化动态。

Measuring Coevolutionary Dynamics in Species-Rich Communities.

机构信息

Institute of Integrative Biology, ETH Zürich, Zürich 8092, Switzerland.

Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK.

出版信息

Trends Ecol Evol. 2020 Jun;35(6):539-550. doi: 10.1016/j.tree.2020.02.002. Epub 2020 Mar 3.

Abstract

Identifying different types of coevolutionary dynamics is important for understanding biodiversity and infectious disease. Past work has often focused on pairs of interacting species, but observations of extant communities suggest that coevolution in nature occurs in networks of antagonism and mutualism. We discuss challenges for measuring coevolutionary dynamics in species-rich communities, and we suggest ways that established approaches used for two-species interactions can be applied. We propose ways that such data can be complemented by genomic information and linked back to extant communities via network structure, and we suggest avenues for new theoretical work to strengthen these connections. Quantifying coevolution in species-rich communities has several potential benefits, such as identifying coevolutionary units within networks and uncovering coevolutionary interactions among pathogens of humans, livestock, and crops.

摘要

确定不同类型的协同进化动态对于理解生物多样性和传染病非常重要。过去的工作通常集中在相互作用的两个物种上,但对现存群落的观察表明,自然界中的协同进化发生在对抗和互利共生的网络中。我们讨论了在物种丰富的群落中测量协同进化动态的挑战,并提出了如何应用用于两种物种相互作用的既定方法。我们提出了通过网络结构将基因组信息与现存群落联系起来的方法,并为新的理论工作提供了途径,以加强这些联系。在物种丰富的群落中量化协同进化有几个潜在的好处,例如识别网络中的协同进化单位,以及揭示人类、牲畜和作物病原体之间的协同进化相互作用。

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