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Tracking Replicate Divergence in Microbial Community Composition and Function in Experimental Microcosms.

Renee Johansen1, Michaeline Albright2, La Verne Gallegos-Graves2

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This summary is machine-generated.

Replicate microbial communities diverge in composition and function over time. However, this variation is unlikely to hinder the study of microbial community functions, aiding experimental design.

Keywords:
CommunityCommunity replicationMicrobial community compositionMicrocosm

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Area of Science:

  • Microbiology
  • Ecology
  • Environmental Science

Background:

  • Studying microbial community functions requires replicating microbial communities.
  • Temporal variation in community development can lead to imperfect replication.
  • Anticipating replicate variation is crucial for effective experimental design.

Purpose of the Study:

  • To examine the degree of divergence in replicate microbial communities.
  • To assess the impact of incubation time and starting community on replicate variation.
  • To determine if replicate divergence impedes the study of microbial community functions.

Main Methods:

  • 128 soil-derived microbial communities were incubated for 30 days, with triplicates for each.
  • Bacterial and fungal community composition and function were analyzed.
  • A smaller experiment tested nine starting communities with varying incubation times (30 and 114 days) and substrate sterility.

Main Results:

  • Replicate microbial communities diverged in composition and function but remained more similar to each other than to communities from different starting inocula.
  • Bacterial community composition variation correlated with dissolved organic carbon production.
  • Longer incubation periods (114 days) resulted in greater replicate divergence compared to shorter periods (30 days).

Conclusions:

  • Replicate microbial communities show divergence in composition and function over time.
  • While divergence occurs, it is unlikely to significantly impede the study of microbial community functions.
  • Understanding replicate variation aids in designing more robust microbial ecology experiments.