Literature DB >> 24400504

Phylogenetic distance and species richness interactively affect the productivity of bacterial communities.

Patrick A Venail1, Martha J Vives2.   

Abstract

Our understanding of how biodiversity influences ecosystem functioning is entering a new stage of its development through the incorporation of information about the evolutionary relatedness of species. Bacteria are prime providers of essential ecosystem services, representing an excellent model system to perform biodiversity-ecosystem function research. By using bacteria isolated from petroleum-contaminated sites, we show that communities composed of poorly related species were more productive than those containing highly related species. The nature of the forces controlling this positive effect of phylogenetic diversity on community productivity depended on the number of species in culture. In communities of two species the positive effect of phylogenetic diversity on productivity was driven by changes in the selection effect. Communities of two distantly related species were dominated by the most productive species in monoculture, whereas communities of two closely related species were dominated by the less productive species in monoculture. In communities of four species the positive effect of phylogenetic diversity on productivity was driven by changes in the complementarity effect. In communities composed of four distantly related species the influence of positive interactions such as facilitation, cross-feeding, and niche partitioning seemed to outweigh the influence of negative interactions such as interference. As a consequence the proportion of species favored by the presence of other species increased as they became less related. Multiple facets of biodiversity may influence ecosystem functioning. Here, we present evidence of an interaction between phylogenetic and taxonomic diversity on community productivity, underlining the importance of considering multiple aspects of biodiversity when studying its impact on ecosystem functioning.

Mesh:

Year:  2013        PMID: 24400504     DOI: 10.1890/12-2002.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  9 in total

1.  Initial phylogenetic relatedness of saprotrophic fungal communities affects subsequent litter decomposition rates.

Authors:  Stephanie N Kivlin; Kathleen K Treseder
Journal:  Microb Ecol       Date:  2014-10-21       Impact factor: 4.552

2.  Disentangling the effect of body size and phylogenetic distances on zooplankton top-down control of algae.

Authors:  Andros T Gianuca; Jelena H Pantel; Luc De Meester
Journal:  Proc Biol Sci       Date:  2016-04-13       Impact factor: 5.349

3.  Time-variant species pools shape competitive dynamics and biodiversity-ecosystem function relationships.

Authors:  David W Armitage
Journal:  Proc Biol Sci       Date:  2016-09-14       Impact factor: 5.349

4.  Group Living and Male Dispersal Predict the Core Gut Microbiome in Wild Baboons.

Authors:  Laura E Grieneisen; Josh Livermore; Susan Alberts; Jenny Tung; Elizabeth A Archie
Journal:  Integr Comp Biol       Date:  2017-10-01       Impact factor: 3.326

5.  Nitrogen addition, not initial phylogenetic diversity, increases litter decomposition by fungal communities.

Authors:  Anthony S Amend; Kristin L Matulich; Jennifer B H Martiny
Journal:  Front Microbiol       Date:  2015-02-18       Impact factor: 5.640

Review 6.  Bacterial Communities: Interactions to Scale.

Authors:  Reed M Stubbendieck; Carol Vargas-Bautista; Paul D Straight
Journal:  Front Microbiol       Date:  2016-08-08       Impact factor: 5.640

Review 7.  Model Microbial Consortia as Tools for Understanding Complex Microbial Communities.

Authors:  Shin Haruta; Kyosuke Yamamoto
Journal:  Curr Genomics       Date:  2018-12       Impact factor: 2.236

8.  Soil microbes drive phylogenetic diversity-productivity relationships in a subtropical forest.

Authors:  Minxia Liang; Xubing Liu; Ingrid M Parker; David Johnson; Yi Zheng; Shan Luo; Gregory S Gilbert; Shixiao Yu
Journal:  Sci Adv       Date:  2019-10-23       Impact factor: 14.136

9.  Estimating bacterial diversity for ecological studies: methods, metrics, and assumptions.

Authors:  Julia Birtel; Jean-Claude Walser; Samuel Pichon; Helmut Bürgmann; Blake Matthews
Journal:  PLoS One       Date:  2015-04-27       Impact factor: 3.240

  9 in total

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