A unifying framework for interpreting and predicting mutualistic systems

Biological complexity has impeded our ability to predict the dynamics of mutualistic interactions. Here, the authors deduce a general rule to predict outcomes of mutualistic systems and introduce an approach that permits making predictions even in the absence of knowledge of mechanistic details.

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Autores principales:	Feilun Wu, Allison J. Lopatkin, Daniel A. Needs, Charlotte T. Lee, Sayan Mukherjee, Lingchong You
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ada55e74f87742d6b7bca577b9e86383
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spelling	oai:doaj.org-article:ada55e74f87742d6b7bca577b9e863832021-12-02T15:35:39ZA unifying framework for interpreting and predicting mutualistic systems10.1038/s41467-018-08188-52041-1723https://doaj.org/article/ada55e74f87742d6b7bca577b9e863832019-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-08188-5https://doaj.org/toc/2041-1723Biological complexity has impeded our ability to predict the dynamics of mutualistic interactions. Here, the authors deduce a general rule to predict outcomes of mutualistic systems and introduce an approach that permits making predictions even in the absence of knowledge of mechanistic details.Feilun WuAllison J. LopatkinDaniel A. NeedsCharlotte T. LeeSayan MukherjeeLingchong YouNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Feilun Wu Allison J. Lopatkin Daniel A. Needs Charlotte T. Lee Sayan Mukherjee Lingchong You A unifying framework for interpreting and predicting mutualistic systems
description	Biological complexity has impeded our ability to predict the dynamics of mutualistic interactions. Here, the authors deduce a general rule to predict outcomes of mutualistic systems and introduce an approach that permits making predictions even in the absence of knowledge of mechanistic details.
format	article
author	Feilun Wu Allison J. Lopatkin Daniel A. Needs Charlotte T. Lee Sayan Mukherjee Lingchong You
author_facet	Feilun Wu Allison J. Lopatkin Daniel A. Needs Charlotte T. Lee Sayan Mukherjee Lingchong You
author_sort	Feilun Wu
title	A unifying framework for interpreting and predicting mutualistic systems
title_short	A unifying framework for interpreting and predicting mutualistic systems
title_full	A unifying framework for interpreting and predicting mutualistic systems
title_fullStr	A unifying framework for interpreting and predicting mutualistic systems
title_full_unstemmed	A unifying framework for interpreting and predicting mutualistic systems
title_sort	unifying framework for interpreting and predicting mutualistic systems
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/ada55e74f87742d6b7bca577b9e86383
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A unifying framework for interpreting and predicting mutualistic systems

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