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Article overview
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Artificial selection of communities drives the emergence of structured interactions | | Jules Fraboul
; Giulio Biroli
; Silvia De Monte
; | | Date: |
13 Dec 2021 | | Abstract: | Species-rich communities, such as the microbiota or environmental microbial
assemblages, provide key functions for human health and ecological resilience.
Increasing effort is being dedicated to design experimental protocols for
selecting community-level functions of interest. These experiments typically
involve selection acting on populations of communities, each of which is
composed of multiple species. Numerical explorations allowed to link the
evolutionary dynamics to the multiple parameters involved in this complex,
multi-scale evolutionary process. However, a comprehensive theoretical
understanding of artificial selection of communities is still lacking. Here, we
propose a general model for the evolutionary dynamics of species-rich
communities, each described by disordered generalized Lotka-Volterra equations,
that we study analytically and by numerical simulations. Our results reveal
that a generic response to selection for larger total community abundance is
the emergence of an isolated eigenvalue of the interaction matrix that can be
understood as an effective cross-feeding term. In this way, selection imprints
a structure on the community, which results in a global increase of both the
level of mutualism and the diversity of interactions. Our approach moreover
allows to disentangle the role of intraspecific competition, interspecific
interactions symmetry and number of selected communities in the evolutionary
process, and can thus be used as a guidance in optimizing artificial selection
protocols. | | Source: | arXiv, 2112.06845 | | Services: | Forum | Review | PDF | Favorites | |
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