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      Microbial interactions: from networks to models

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      Nature Reviews Microbiology
      Springer Science and Business Media LLC

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          Abstract

          Metagenomics and 16S pyrosequencing have enabled the study of ecosystem structure and dynamics to great depth and accuracy. Co-occurrence and correlation patterns found in these data sets are increasingly used for the prediction of species interactions in environments ranging from the oceans to the human microbiome. In addition, parallelized co-culture assays and combinatorial labelling experiments allow high-throughput discovery of cooperative and competitive relationships between species. In this Review, we describe how these techniques are opening the way towards global ecosystem network prediction and the development of ecosystem-wide dynamic models.

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          Most cited references54

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          Community diversity: relative roles of local and regional processes.

          The species richness (diversity) of local plant and animal assemblages-biological communities-balances regional processes of species formation and geographic dispersal, which add species to communities, against processes of predation, competitive exclusion, adaptation, and stochastic variation, which may promote local extinction. During the past three decades, ecologists have sought to explain differences in local diversity by the influence of the physical environment on local interactions among species, interactions that are generally believed to limit the number of coexisting species. But diversity of the biological community often fails to converge under similar physical conditions, and local diversity bears a demonstrable dependence upon regional diversity. These observations suggest that regional and historical processes, as well as unique events and circumstances, profoundly influence local community structure. Ecologists must broaden their concepts of community processes and incorporate data from systematics, biogeography, and paleontology into analyses of ecological patterns and tests of community theory.
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            Comparative metagenomics of microbial communities.

            The species complexity of microbial communities and challenges in culturing representative isolates make it difficult to obtain assembled genomes. Here we characterize and compare the metabolic capabilities of terrestrial and marine microbial communities using largely unassembled sequence data obtained by shotgun sequencing DNA isolated from the various environments. Quantitative gene content analysis reveals habitat-specific fingerprints that reflect known characteristics of the sampled environments. The identification of environment-specific genes through a gene-centric comparative analysis presents new opportunities for interpreting and diagnosing environments.
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              NULL MODEL ANALYSIS OF SPECIES CO-OCCURRENCE PATTERNS

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                Author and article information

                Journal
                Nature Reviews Microbiology
                Nat Rev Microbiol
                Springer Science and Business Media LLC
                1740-1526
                1740-1534
                August 2012
                July 16 2012
                August 2012
                : 10
                : 8
                : 538-550
                Article
                10.1038/nrmicro2832
                22796884
                8bf6e3c6-b23d-4852-9e58-449e41add18a
                © 2012

                http://www.springer.com/tdm

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