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Guilds Identification in a Temperate Freshwater Chronoseries using Dynamic Modeling and Network Mining of 460 Metagenome-assembled Genomes
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Theme: Aquatic Microbial Systems
Miguel Rodriguez
Konstantinidis Lab
ABSTRACT
Guilds are a foundational concept in community ecology, complementing phylogeny, food webs, and niches on the understanding of community assembly, biogeography, succession, and metabolic theory, among others. However, guild definition and identification in microbial ecology has been traditionally relegated to industrially productive taxa and coarsely-defined forms of metabolism, notably primary producers and specific roles in biogeochemical cycles. Here we aim to systematically identify and evaluate the consistency of guilds in a microbial freshwater meta-community.
First, we present a chronoseries (69 metagenomes) from seven locations along the Chattahoochee River basin (Southeastern USA) and a novel iteratively subtractive binning methodology. Next, we use smoothed abundance profiles to infer directed interactions from Lotka-Volterra models, differentiating predation from mutualism, commensalism, amensalism, and competition. Finally, we apply hierarchical link clustering to the resulting network and select modules, equated to guilds, maximizing partition density.
Status
- Workflow Status:Published
- Created By:Jasmine Martin
- Created:03/23/2019
- Modified By:Jasmine Martin
- Modified:03/25/2019
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