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      Seeing the forest for the genes: using metagenomics to infer the aggregated traits of microbial communities

      Fierer, Noah; Barberán, Albert; Laughlin, Daniel C.
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      2014 fierer barberan laughlin Frontiers in Microbiology.pdf
      Published version, 345.5Kb
      DOI
       10.3389/fmicb.2014.00614
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      Fierer, N., Barberán, A., & Laughlin, D. C. (2014). Seeing the forest for the genes: using metagenomics to infer the aggregated traits of microbial communities. Frontiers in Microbiology, 5, Article no. 614. http://doi.org/10.3389/fmicb.2014.00614
      Permanent Research Commons link: https://hdl.handle.net/10289/8894
      Abstract
      Most environments harbor large numbers of microbial taxa with ecologies that remain poorly described and characterizing the functional capabilities of whole communities remains a key challenge in microbial ecology. Shotgun metagenomic analyses are increasingly recognized as a powerful tool to understand community-level attributes. However, much of this data is under-utilized due, in part, to a lack of conceptual strategies for linking the metagenomic data to the most relevant community-level characteristics. Microbial ecologists could benefit by borrowing the concept of community-aggregated traits (CATs) from plant ecologists to glean more insight from the ever-increasing amount of metagenomic data being generated. CATs can be used to quantify the mean and variance of functional traits found in a given community. A CAT-based strategy will often yield far more useful information for predicting the functional attributes of diverse microbial communities and changes in those attributes than the more commonly used analytical strategies. A more careful consideration of what CATs to measure and how they can be quantified from metagenomic data, will help build a more integrated understanding of complex microbial communities.
      Date
      2014-11-12
      Type
      Journal Article
      Publisher
      FRONTIERS RESEARCH FOUNDATION
      Rights
      This article is published in the Frontiers in Microbiology. © 2014 the authors.
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      • Science and Engineering Papers [3122]
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