Literature DB >> 25325741

Components of phylogenetic signal in antagonistic and mutualistic networks.

Rudolf P Rohr1, Jordi Bascompte.   

Abstract

Recent studies have shown a phylogenetic signal in the structure of ecological networks, making the point that evolutionary history is important in explaining network architecture. However, this previous work has focused on either antagonistic (i.e., predator-prey) or mutualistic networks and has used different methodologies. Thus, a comparative assessment of both the frequency and the strength of phylogenetic signal across network types and components of network structure has been precluded. Here, we address this issue using a data set comprising 60 antagonistic and mutualistic networks. By quantifying simultaneously the matching and centrality components of network architecture-capturing the modular and nested structure, respectively-we test the presence and quantify the strength of phylogenetic signal across network types, species sets, and components of network structure. We find contrasting differences across such groups. First, phylogenetic signal is stronger in antagonistic webs than in mutualistic webs. Second, resources are more strongly constrained than consumers in food webs, while animals show more constraints than plants in mutualistic networks. Third, phylogenetic constraints are stronger for the matching component than for the centrality component of network structure. These results can shed light on the contrasting evolutionary constraints shaping network structure across interaction types and species sets.

Mesh:

Year:  2014        PMID: 25325741     DOI: 10.1086/678234

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  4 in total

1.  How phylogeny shapes the taxonomic and functional structure of plant-insect networks.

Authors:  Sébastien Ibanez; Fabien Arène; Sébastien Lavergne
Journal:  Oecologia       Date:  2016-01-20       Impact factor: 3.225

Review 2.  The long-term restoration of ecosystem complexity.

Authors:  David Moreno-Mateos; Antton Alberdi; Elly Morriën; Wim H van der Putten; Asun Rodríguez-Uña; Daniel Montoya
Journal:  Nat Ecol Evol       Date:  2020-04-13       Impact factor: 15.460

3.  Fitness effects of plasmids shape the structure of bacteria-plasmid interaction networks.

Authors:  Arthur Newbury; Beth Dawson; Uli Klümper; Elze Hesse; Meaghan Castledine; Colin Fontaine; Angus Buckling; Dirk Sanders
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-25       Impact factor: 12.779

4.  Specialization in plant-pollinator networks: insights from local-scale interactions in Glenbow Ranch Provincial Park in Alberta, Canada.

Authors:  Soraya Villalobos; José Manuel Sevenello-Montagner; Jana C Vamosi
Journal:  BMC Ecol       Date:  2019-09-06       Impact factor: 2.964

  4 in total

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