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      Microbial assembly, interaction, functioning, activity and diversification: a review derived from community compositional data

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          Abstract

          Microorganisms play crucial roles in maintaining ecosystem stability. The last two decades have witnessed an upsurge in studies on marine microbial community composition using high-throughput sequencing methods. Extensive mining of the compositional data has provided exciting new insights into marine microbial ecology from a number of perspectives. Both deterministic and stochastic processes contribute to microbial community assembly but their relative importance in structuring subcommunities, that are categorized by traits such as abundance, functional type and activity, differs. Through correlation-based network analysis, significant progress has been made in unraveling microbial co-occurrence patterns and dynamics in response to environmental changes. Prediction of ecosystem functioning, based on microbial data, is receiving increasing attention, as closely related microbes often share similar ecological traits and microbial diversity often exhibits significant correlations to ecosystem functioning. The ecosystem functioning is likely executed not by the whole community, but rather by an active fraction of a community, which can be inferred from the marker gene transcription level of community members. Furthermore, the huge amount of microbial community data has significantly expanded the tree of life and illuminated microbial phylogenetic divergence and evolutionary history. This review summarizes important findings in microbial assembly, interaction, functioning, activity and diversification, highlighting the interacting roles of different aspects, derived from community compositional data.

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          Author and article information

          Journal
          MLST
          Marine Life Science & Technology
          Springer (China )
          2096-6490
          2662-1746
          01 November 2019
          08 November 2019
          : 1
          : 1
          : 112-128
          Affiliations
          1MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China
          2Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
          3Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao 266003, China
          Author notes
          *Corresponding author: Xiao-Hua Zhang, E-mail: xhzhang@ 123456ouc.edu.cn
          Article
          s42995-019-00004-3
          10.1007/s42995-019-00004-3
          © 2019 The Author(s)

          This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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          Self URI (journal-page): https://www.springer.com/journal/42995
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          Review

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