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A conceptual framework to dissect emergent functions in microbial communities.

Swagatika Dash1, Sharvari Harshe1, Anjana Prasad1

  • 1Department of Ecology, School of Biology/Chemistry, University of Osnabrück, Osnabrück, Germany.

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This study introduces a framework to understand emergent functions (EFs) in microbial communities. EFs arise from interactions, not just individual microbial activities, offering new insights into community behavior.

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Area of Science:

  • Microbiology
  • Ecology
  • Systems Biology

Background:

  • Microbial communities are crucial for ecosystems and applications, but their collective functions often exceed individual strain contributions.
  • These complex, interaction-driven functions, termed emergent functions (EFs), are poorly understood and lack a systematic classification framework.
  • Understanding EFs is key to deciphering microbial community behavior and harnessing their potential.

Purpose of the Study:

  • To propose a novel conceptual framework for identifying, classifying, and dissecting emergent functions in microbial communities.
  • To define and categorize EFs based on deviation from additive expectations (positive, negative, de novo, modulated).
  • To outline ecological mechanisms and diagnostic experiments for characterizing EFs and their evolutionary origins.

Main Methods:

  • Defined emergent functions (EFs) as community-level traits deviating from additive expectations.
  • Classified EFs based on deviation direction (positive/negative) and origin (de novo/modulated).
  • Proposed classification of underlying ecological mechanisms (contact-dependence, regulation) and diagnostic experiments.

Main Results:

  • A conceptual framework for emergent functions (EFs) in microbial communities was established.
  • Distinctions were made between positive, negative, de novo, and modulated emergence.
  • Ecological mechanisms and evolutionary origins of EFs were addressed with proposed experimental approaches.

Conclusions:

  • The proposed framework provides a systematic approach to identify and characterize emergent functions in microbial communities.
  • This work advances the mechanistic understanding of microbial community function by dissecting complex interactions.
  • The framework facilitates the study of how microbial communities generate novel properties through inter-strain interactions.