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SUMMARY:Contributed Talk: Modelling host-associated microbiota over host 
 evolutionary time - Guilhem Sommeria-Klein (University of Turku)
DTSTART:20221014T135000Z
DTEND:20221014T141000Z
UID:TALK179432@talks.cam.ac.uk
DESCRIPTION:Co-authors: H&eacute\;l&egrave\;ne Morlon\, Beno&icirc\;t P&ea
 cute\;rez-Lamarque\, Leo Lahti\nUnderstanding the evolution of host-associ
 ated microbiota requires accounting for the phylogenetic history of their 
 hosts\, because microbiota are transmitted across host generations and bec
 ause evolutionarily conserved host traits influence microbiota composition
 . To understand microbiota evolution from large-scale data\, we developed 
 an approach to model the changes in microbiota composition through time al
 ong the phylogenetic tree of the hosts\, where microbiota composition is c
 haracterized as the relative abundances of higher-level microbial taxa. We
  did so by leveraging existing approaches for modelling the evolution of m
 ultivariate phenotypic traits. Our approach provides a model-based quantif
 ication of phylosymbiosis\, i.e.\, the propensity of microbiota compositio
 n to reflect the evolutionary divergence between hosts. It also infers the
  covariations between microbial taxa abundances through time and reconstru
 cts the microbiota composition of the hosts&rsquo\; common ancestors along
  the tree. We can then estimate the influence of covariates such as diet o
 n the retrieved patterns. This approach may be applied over deep evolution
 ary time\, e.g.\, to the microbiota of all mammals\, or on a shorter times
 cale\, e.g.\, to the microbiota of humans. We applied it to the gut microb
 iota of mammals and birds (215 and 323 species covering the entire phyloge
 netic tree\, respectively). We found significant levels of phylosymbiosis 
 in both mammals and birds\, which cannot be fully explained by diet conser
 vatism\, and we reconstructed a microbiota composition consistent with an 
 insectivorous diet for the ancestor of all mammals. We are now developing 
 an extended model that accommodates microbial composition data at a higher
  taxonomic resolution by grouping microbial taxa into assemblages\, and we
  are investigating the application of our approach to the human gut microb
 iota.
LOCATION:Seminar Room 1\, Newton Institute
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