Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets Journal Article uri icon

Overview

abstract

  • Marker gene sequencing of microbial communities has generated big datasets of microbial relative abundances varying across environmental conditions, sample sites and treatments. These data often come with putative phylogenies, providing unique opportunities to investigate how shared evolutionary history affects microbial abundance patterns. Here, we present a method to identify the phylogenetic factors driving patterns in microbial community composition. We use the method, "phylofactorization", to re-analyze datasets from the human body and soil microbial communities, demonstrating how phylofactorization is a dimensionality-reducing tool, an ordination-visualization tool, and an inferential tool for identifying edges in the phylogeny along which putative functional ecological traits may have arisen.

publication date

  • January 3, 2017

has restriction

  • green

Date in CU Experts

  • November 12, 2020 9:22 AM

Full Author List

  • Washburne AD; Silverman JD; Leff JW; Bennett DJ; Darcy JL; Mukherjee S; Fierer N; David LA

author count

  • 8

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