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Marine Bacterial, Archaeal, and Protistan Association Networks

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Encyclopedia of Metagenomics

Synonyms

Correlation networks; Co-occurrence networks; Local similarity analysis; Microbial association networks; Network analysis

Definition

The study of the covariation of many taxonomic groups across all domains of life within a set of samples using a family of techniques, all of which identify many statistical associations and allow those associations to be subsequently visualized.

Background

Molecular techniques used to describe marine microbial communities are constantly improving and are describing the structure of marine microbial communities in ways that are progressively more detailed. At the same time, large-scale efforts sample many locations of the ocean, while others regularly sample the same locations many times in the ocean. Together these efforts promise to increase the resolution of data sets that describe the spatiotemporal distributions of marine microorganisms including bacteria, archaea, protists, and marine viruses. These large data sets present challenges in...

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Acknowledgments

The authors would like to thank the Gordon and Betty Moore Foundation and the National Science Foundation for Support.

Author information

Authors and Affiliations

  1. Department of Biological Sciences, University of Southern California, Dana and David Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, 90089, USA

    Jacob Cram, Fengzhu Sun & Jed A. Fuhrman

Authors
  1. Jacob Cram
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  2. Fengzhu Sun
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  3. Jed A. Fuhrman
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Corresponding author

Correspondence to Jacob Cram .

Editor information

Editors and Affiliations

  1. J. Craig Venter Institute (JCVI), Rockville, Maryland, USA

    Karen E. Nelson

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© 2013 Springer Science+Business Media New York

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Cram, J., Sun, F., Fuhrman, J.A. (2013). Marine Bacterial, Archaeal, and Protistan Association Networks. In: Nelson, K. (eds) Encyclopedia of Metagenomics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6418-1_721-3

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  • DOI: https://doi.org/10.1007/978-1-4614-6418-1_721-3

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-6418-1

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