Phylogenetic coherence in microbiome composition across environmental gradients

ORAL

Abstract



Global surveys of microbial communities across biomes have shown that environmental variables such as temperature and pH are strong determinants of community composition.  However, we do not understand how the traits of individual taxa, and their evolutionary conservation, conspire to give rise to these patterns. Exploiting large-scale surveys of top soil and marine microbiomes, we use canonical correlation analysis (CCA) to concurrently infer directions of environmental variation and the associated compositional changes. We find that the primary canonical direction, capturing the dominant environmental gradient, exhibits a strong phylogenetic signal: individual species' responses to environmental shifts along this direction are similar among taxa with shared evolutionary history. In contrast, secondary canonical directions show weak or no phylogenetic structure. Together, these results suggest a two-scale view of microbial community assembly. Deeply evolutionarily conserved traits govern community reorganization along the main environmental driver of community composition. Additional environmentally driven changes in community composition then reflect traits that are more evolutionarily labile.

*The authors acknowledge the University of Chicago’s Research Computing Center for computing resources, the National Science Foundation through the Center for Living Systems (grant 2317138), and the National Institute for Mathematics and Theory in Biology (Simons Foundation award MP-TMPS-00005320 and National Science Foundation award DMS-2235451). M.C-W. acknowledges a Fannie and John Hertz Fellowship Award as well as National Science Foundation Graduate Research Fellowship Program under grant number DGE 1746045. A.D. acknowledges the University of Chicago Quad Undergraduate Research Scholars Program. S.K. acknowledges the NSF CAREER - BIO/MCB 2340416 and National Institute of General Medical Sciences R01GM151538. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Presenters

  • Milena Sri Chakraverti-Wuerthwein

    • University of Chicago

Authors

  • Milena Sri Chakraverti-Wuerthwein

    • University of Chicago
  • Alissa Domenig

    • University of Chicago
  • Seppe Kuehn

    • University of Chicago