12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Studying the Complex Communities of Ants and Their Symbionts Using Ecological Network Analysis.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Ant colonies provide well-protected and resource-rich environments for a plethora of symbionts. Historically, most studies of ants and their symbionts have had a narrow taxonomic scope, often focusing on a single ant or symbiont species. Here we discuss the prospects of studying these assemblies in a community ecology context using the framework of ecological network analysis. We introduce three basic network metrics that we consider particularly relevant for improving our knowledge of ant-symbiont communities: interaction specificity, network modularity, and phylogenetic signal. We then discuss army ant symbionts as examples of large and primarily parasitic communities, and symbiotic sternorrhynchans as examples of generally smaller and primarily mutualistic communities in the context of these network analyses. We argue that this approach will provide new and complementary insights into the evolutionary and ecological dynamics between ants and their many associates, and will facilitate comparisons across different ant-symbiont assemblages as well as across different types of ecological networks.

          Related collections

          Author and article information

          Journal
          Annu. Rev. Entomol.
          Annual review of entomology
          Annual Reviews
          1545-4487
          0066-4170
          2016
          : 61
          Affiliations
          [1 ] Laboratory of Social Evolution and Behavior, The Rockefeller University, New York, New York 10065; email: aivens@rockefeller.edu , vonbeeren@arcor.de , dkronauer@rockefeller.edu.
          [2 ] Department of Biology, Ecological Networks, Technical University Darmstadt, 64287 Darmstadt, Germany; email: bluethgen@bio.tu-darmstadt.de.
          Article
          10.1146/annurev-ento-010715-023719
          26982442
          055aa899-2a0b-4e40-9a4b-9a69c660693d
          History

          community ecology,mutualism,myrmecophiles,network analysis,parasitism,symbiosis

          Comments

          Comment on this article