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Assembly and Tracking of Microbial Community Development within a Microwell Array Platform
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Alternative assembly processes from trait-mediated co-evolution in mutualistic communities.

Henintsoa O Minoarivelo1, Cang Hui2

  • 1Theoretical Ecology Group, Department of Mathematical Sciences, Stellenbosch University, Matieland 7602, South Africa; Centre of Excellence in Mathematical and Statistical Sciences, Wits University, Gauteng 2050, South Africa.

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|June 10, 2018
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Summary
This summary is machine-generated.

Competition and mutualism shape community assembly. Evolutionary dynamics lead to resource use or mutualism optimization, impacting biodiversity and ecosystem stability. Understanding past evolution is key.

Keywords:
Adaptive diversificationAdaptive dynamicsBiodiversityMutualistic interactionProductivitySpecies abundance

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Theoretical Ecology

Background:

  • Mutualistic communities are shaped by ecological interactions and co-evolutionary processes.
  • Competition (intra- and interspecific) and mutualism influence community assembly, adaptive diversification, and biodiversity.
  • Understanding these combined dynamics is crucial for predicting community trajectories.

Purpose of the Study:

  • To explore how competition and mutualism jointly affect community assembly.
  • To investigate the impact of these interactions on adaptive diversification and biodiversity emergence.
  • To model ecological and evolutionary processes simultaneously.

Main Methods:

  • Utilized the adaptive dynamics approach.
  • Employed a Lotka-Volterra framework to simulate ecological and evolutionary dynamics.
  • Modeled the evolution of phenotypic traits under competitive and mutualistic pressures.

Main Results:

  • Two alternative evolutionary regimes emerged based on initial trait values: resource optimization or mutualism maximization.
  • Frequency-dependent competition primarily drives diversification and biodiversity.
  • Mutualism enhances ecosystem productivity and evolutionary stability.

Conclusions:

  • Community assembly outcomes are contingent on initial trait values, leading to alternative evolutionary endpoints.
  • Species loss and invasions can shift communities to different successional or evolutionary states.
  • Clarifying past evolutionary dynamics is essential for understanding current community assembly processes.