Elucidation of complexity and prediction of interactions in microbial communities

Zuñiga, Cristal; Zaramela, Livia; Zengler, Karsten

doi:10.1111/1751-7915.12855

Title: Elucidation of complexity and prediction of interactions in microbial communities

Journal Article · Tue Sep 19 00:00:00 EDT 2017 · Microbial Biotechnology (Online)

DOI:https://doi.org/10.1111/1751-7915.12855· OSTI ID:1392703

Zuñiga, Cristal ^[1]; Zaramela, Livia ^[1]; Zengler, Karsten ^[1]

Department of Pediatrics University of California, San Diego 9500 Gilman Drive La Jolla CA 92093‐0760 USA

Summary Microorganisms engage in complex interactions with other members of the microbial community, higher organisms as well as their environment. However, determining the exact nature of these interactions can be challenging due to the large number of members in these communities and the manifold of interactions they can engage in. Various omic data, such as 16S rRNA gene sequencing, shotgun metagenomics, metatranscriptomics, metaproteomics and metabolomics, have been deployed to unravel the community structure, interactions and resulting community dynamics in situ . Interpretation of these multi‐omic data often requires advanced computational methods. Modelling approaches are powerful tools to integrate, contextualize and interpret experimental data, thus shedding light on the underlying processes shaping the microbiome. Here, we review current methods and approaches, both experimental and computational, to elucidate interactions in microbial communities and to predict their responses to perturbations.

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Research Organization:: Johns Hopkins Univ., Baltimore, MD (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012658

OSTI ID:: 1392703

Alternate ID(s):: OSTI ID: 1392704; OSTI ID: 1485598

Journal Information:: Microbial Biotechnology (Online), Journal Name: Microbial Biotechnology (Online) Vol. 10 Journal Issue: 6; ISSN 1751-7915

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Cited by: 80 works

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