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      Beyond ectomycorrhizal bipartite networks: projected networks demonstrate contrasted patterns between early- and late-successional plants in Corsica

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          Abstract

          The ectomycorrhizal (ECM) symbiosis connects mutualistic plants and fungal species into bipartite networks. While links between one focal ECM plant and its fungal symbionts have been widely documented, systemic views of ECM networks are lacking, in particular, concerning the ability of fungal species to mediate indirect ecological interactions between ECM plant species (projected-ECM networks). We assembled a large dataset of plant–fungi associations at the species level and at the scale of Corsica using molecular data and unambiguously host-assigned records to: (i) examine the correlation between the number of fungal symbionts of a plant species and the average specialization of these fungal species, (ii) explore the structure of the plant–plant projected network and (iii) compare plant association patterns in regard to their position along the ecological succession. Our analysis reveals no trade-off between specialization of plants and specialization of their partners and a saturation of the plant projected network. Moreover, there is a significantly lower-than-expected sharing of partners between early- and late-successional plant species, with fewer fungal partners for early-successional ones and similar average specialization of symbionts of early- and late-successional plants. Our work paves the way for ecological readings of Mediterranean landscapes that include the astonishing diversity of below-ground interactions.

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          Most cited references43

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          Functional cartography of complex metabolic networks

          , (2005)
          High-throughput techniques are leading to an explosive growth in the size of biological databases and creating the opportunity to revolutionize our understanding of life and disease. Interpretation of these data remains, however, a major scientific challenge. Here, we propose a methodology that enables us to extract and display information contained in complex networks. Specifically, we demonstrate that one can (i) find functional modules in complex networks, and (ii) classify nodes into universal roles according to their pattern of intra- and inter-module connections. The method thus yields a ``cartographic representation'' of complex networks. Metabolic networks are among the most challenging biological networks and, arguably, the ones with more potential for immediate applicability. We use our method to analyze the metabolic networks of twelve organisms from three different super-kingdoms. We find that, typically, 80% of the nodes are only connected to other nodes within their respective modules, and that nodes with different roles are affected by different evolutionary constraints and pressures. Remarkably, we find that low-degree metabolites that connect different modules are more conserved than hubs whose links are mostly within a single module.
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            Plant-Animal Mutualistic Networks: The Architecture of Biodiversity

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              The magnitude of fungal diversity: the 1.5 million species estimate revisited

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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                20 October 2015
                2015
                : 6
                : 881
                Affiliations
                [1] 1UMR 5175, CEFE – CNRS – Université de Montpellier – Université Paul Valéry Montpellier – EPHE – INSERM Montpellier, France
                [2] 2UM2, UMR AMAP Montpellier, France
                [3] 3French Institute of Pondicherry Pondicherry, India
                [4] 4CNRS, LPTMC UMR 7600, Université Pierre et Marie Curie-Paris 6, Sorbonne Universités Paris, France
                [5] 5CNRS, IGMM UMR 5535, Université de Montpellier Montpellier, France
                [6] 6CNRS, Muséum National d’Histoire Naturelle, UMR 7205, Origine, Structure et Evolution de la Biodiversité Paris, France
                [7] 7Département de Botanique, Faculté des Sciences Pharmaceutiques et Biologiques, Université Lille Lille, France
                Author notes

                Edited by: Sergio Rossi, Université du Québec à Chicoutimi, Canada

                Reviewed by: Vicky Martine Temperton, Leuphana University Lüneburg, Germany; Raffaella Balestrini, Consiglio Nazionale delle Ricerche, Italy

                *Correspondence: Adrien Taudiere, adrien.taudiere@ 123456cefe.cnrs.fr

                This article was submitted to Functional Plant Ecology, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2015.00881
                4612159
                26539201
                e82e3b80-b746-4f00-950e-94ee0b430342
                Copyright © 2015 Taudiere, Munoz, Lesne, Monnet, Bellanger, Selosse, Moreau and Richard.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 May 2015
                : 05 October 2015
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 60, Pages: 14, Words: 0
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                bipartite networks,projected networks,host-specificity,ecological strategies,mediterranean forests,ectomycorrhiza,ecological mycorrhizal network

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