Literature DB >> 29045396

Indirect effects drive coevolution in mutualistic networks.

Paulo R Guimarães1, Mathias M Pires2, Pedro Jordano3, Jordi Bascompte4, John N Thompson5.   

Abstract

Ecological interactions have been acknowledged to play a key role in shaping biodiversity. Yet a major challenge for evolutionary biology is to understand the role of ecological interactions in shaping trait evolution when progressing from pairs of interacting species to multispecies interaction networks. Here we introduce an approach that integrates coevolutionary dynamics and network structure. Our results show that non-interacting species can be as important as directly interacting species in shaping coevolution within mutualistic assemblages. The contribution of indirect effects differs among types of mutualism. Indirect effects are more likely to predominate in nested, species-rich networks formed by multiple-partner mutualisms, such as pollination or seed dispersal by animals, than in small and modular networks formed by intimate mutualisms, such as those between host plants and their protective ants. Coevolutionary pathways of indirect effects favour ongoing trait evolution by promoting slow but continuous reorganization of the adaptive landscape of mutualistic partners under changing environments. Our results show that coevolution can be a major process shaping species traits throughout ecological networks. These findings expand our understanding of how evolution driven by interactions occurs through the interplay of selection pressures moving along multiple direct and indirect pathways.

Mesh:

Year:  2017        PMID: 29045396     DOI: 10.1038/nature24273

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  21 in total

1.  The nested assembly of plant-animal mutualistic networks.

Authors:  Jordi Bascompte; Pedro Jordano; Carlos J Melián; Jens M Olesen
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-24       Impact factor: 11.205

2.  Population Graphs: the graph theoretic shape of genetic structure.

Authors:  Rodney J Dyer; John D Nason
Journal:  Mol Ecol       Date:  2004-07       Impact factor: 6.185

Review 3.  Toward a more trait-centered approach to diffuse (co)evolution.

Authors:  Sharon Y Strauss; Heather Sahli; Jeffrey K Conner
Journal:  New Phytol       Date:  2005-01       Impact factor: 10.151

4.  Identification of selective sources: partitioning selection based on interactions.

Authors:  Benjamin J Ridenhour
Journal:  Am Nat       Date:  2005-04-19       Impact factor: 3.926

5.  Systemic risk in banking ecosystems.

Authors:  Andrew G Haldane; Robert M May
Journal:  Nature       Date:  2011-01-20       Impact factor: 49.962

6.  Genetic correlations between morphology and antipredator behaviour in natural populations of the garter snake Thamnophis ordinoides.

Authors:  E D Brodie
Journal:  Nature       Date:  1989-11-30       Impact factor: 49.962

7.  Coevolution and the architecture of mutualistic networks.

Authors:  Scott L Nuismer; Pedro Jordano; Jordi Bascompte
Journal:  Evolution       Date:  2012-10-05       Impact factor: 3.694

8.  Cooperative behavior cascades in human social networks.

Authors:  James H Fowler; Nicholas A Christakis
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-08       Impact factor: 11.205

Review 9.  Evolution of angiosperm seed disperser mutualisms: the timing of origins and their consequences for coevolutionary interactions between angiosperms and frugivores.

Authors:  Ove Eriksson
Journal:  Biol Rev Camb Philos Soc       Date:  2014-12-20

10.  Mutualistic interactions drive ecological niche convergence in a diverse butterfly community.

Authors:  Marianne Elias; Zachariah Gompert; Chris Jiggins; Keith Willmott
Journal:  PLoS Biol       Date:  2008-12-02       Impact factor: 8.029

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  41 in total

1.  Contrasting indirect effects of an ant host on prey-predator interactions of symbiotic arthropods.

Authors:  T Parmentier; F De Laender; T Wenseleers; D Bonte
Journal:  Oecologia       Date:  2018-10-25       Impact factor: 3.225

2.  The geographic mosaic of coevolution in mutualistic networks.

Authors:  Lucas P Medeiros; Guilherme Garcia; John N Thompson; Paulo R Guimarães
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-07       Impact factor: 11.205

3.  Tipping point and noise-induced transients in ecological networks.

Authors:  Yu Meng; Ying-Cheng Lai; Celso Grebogi
Journal:  J R Soc Interface       Date:  2020-10-14       Impact factor: 4.118

4.  Co-adaptation enhances the resilience of mutualistic networks.

Authors:  Huixin Zhang; Xueming Liu; Qi Wang; Weidong Zhang; Jianxi Gao
Journal:  J R Soc Interface       Date:  2020-07-22       Impact factor: 4.118

5.  Eco-evolutionary feedbacks promote fluctuating selection and long-term stability of antagonistic networks.

Authors:  Cecilia Siliansky de Andreazzi; Paulo R Guimarães; Carlos J Melián
Journal:  Proc Biol Sci       Date:  2018-03-14       Impact factor: 5.349

6.  Harnessing tipping points in complex ecological networks.

Authors:  Junjie Jiang; Alan Hastings; Ying-Cheng Lai
Journal:  J R Soc Interface       Date:  2019-09-11       Impact factor: 4.118

7.  Disentangling effects of multiple stressors on matter flow in a lake food web.

Authors:  Shuran Cindy Wang; Xueqin Liu; Yong Liu; Hongzhu Wang
Journal:  Ecol Evol       Date:  2021-06-21       Impact factor: 2.912

8.  Accelerating homogenization of the global plant-frugivore meta-network.

Authors:  Evan C Fricke; Jens-Christian Svenning
Journal:  Nature       Date:  2020-09-02       Impact factor: 49.962

Review 9.  Embracing integration and complexity: placing emotion within a science of brain and behaviour.

Authors:  Luiz Pessoa
Journal:  Cogn Emot       Date:  2018-09-11

10.  Environmental stimuli drive a transition from cooperation to competition in synthetic phototrophic communities.

Authors:  Cristal Zuñiga; Chien-Ting Li; Geng Yu; Mahmoud M Al-Bassam; Tingting Li; Liqun Jiang; Livia S Zaramela; Michael Guarnieri; Michael J Betenbaugh; Karsten Zengler
Journal:  Nat Microbiol       Date:  2019-10-07       Impact factor: 17.745

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