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      Trait-based approaches for understanding microbial biodiversity and ecosystem functioning.

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          Abstract

          In ecology, biodiversity-ecosystem functioning (BEF) research has seen a shift in perspective from taxonomy to function in the last two decades, with successful application of trait-based approaches. This shift offers opportunities for a deeper mechanistic understanding of the role of biodiversity in maintaining multiple ecosystem processes and services. In this paper, we highlight studies that have focused on BEF of microbial communities with an emphasis on integrating trait-based approaches to microbial ecology. In doing so, we explore some of the inherent challenges and opportunities of understanding BEF using microbial systems. For example, microbial biologists characterize communities using gene phylogenies that are often unable to resolve functional traits. Additionally, experimental designs of existing microbial BEF studies are often inadequate to unravel BEF relationships. We argue that combining eco-physiological studies with contemporary molecular tools in a trait-based framework can reinforce our ability to link microbial diversity to ecosystem processes. We conclude that such trait-based approaches are a promising framework to increase the understanding of microbial BEF relationships and thus generating systematic principles in microbial ecology and more generally ecology.

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          Most cited references77

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            Rebuilding community ecology from functional traits.

            There is considerable debate about whether community ecology will ever produce general principles. We suggest here that this can be achieved but that community ecology has lost its way by focusing on pairwise species interactions independent of the environment. We assert that community ecology should return to an emphasis on four themes that are tied together by a two-step process: how the fundamental niche is governed by functional traits within the context of abiotic environmental gradients; and how the interaction between traits and fundamental niches maps onto the realized niche in the context of a biotic interaction milieu. We suggest this approach can create a more quantitative and predictive science that can more readily address issues of global change.
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              • Article: not found

              Microbial biogeography: putting microorganisms on the map.

              We review the biogeography of microorganisms in light of the biogeography of macroorganisms. A large body of research supports the idea that free-living microbial taxa exhibit biogeographic patterns. Current evidence confirms that, as proposed by the Baas-Becking hypothesis, 'the environment selects' and is, in part, responsible for spatial variation in microbial diversity. However, recent studies also dispute the idea that 'everything is everywhere'. We also consider how the processes that generate and maintain biogeographic patterns in macroorganisms could operate in the microbial world.
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                Author and article information

                Journal
                Front Microbiol
                Frontiers in microbiology
                Frontiers Media SA
                1664-302X
                1664-302X
                2014
                : 5
                Affiliations
                [1 ] Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW) Wageningen, Netherlands ; Department of Chemical Engineering, University of Washington Seattle, WA, USA.
                [2 ] Ecologie Microbienne, CNRS, INRA, Université de Lyon, Université Lyon 1, UMR 5557, USC 1193 Villeurbanne, France.
                [3 ] Institute of Evolutionary Biology and Environmental Studies, University of Zurich Zurich, Switzerland.
                [4 ] Subdepartment of Systems Ecology, Department of Ecological Sciences, VU University Amsterdam Amsterdam, Netherlands.
                [5 ] Department of Biology, Indiana University Bloomington, IN, USA.
                [6 ] Limnology and Science for Life Laboratory, Department of Ecology and Genetics, Uppsala University Uppsala, Sweden.
                [7 ] Leibniz-Institute for Freshwater Ecology and Inland Fisheries Berlin, Germany ; Institute for Biochemistry and Biology, Potsdam University Potsdam, Germany.
                [8 ] INRA, UMR 1347 Agroecologie Dijon, France.
                [9 ] Department of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW) Wageningen, Netherlands.
                Article
                10.3389/fmicb.2014.00251
                4033906
                24904563
                3ea62f45-decb-4a13-94bf-18cc1519943d
                History

                ecosystem function,functional traits,microbial diversity,study designs,ecological theory

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