Skip to main content
Dryad

Evolutionary signal in the gut microbiomes of 74 bird species from Equatorial Guinea

Data files

Jan 09, 2020 version files 1.95 GB

Abstract

How the microbiome interacts with hosts across evolutionary time is poorly understood. To address this question, datasets comprised of many host species are required to conduct comparative analyses. Here, we have analyzed 142 intestinal microbiome samples from 92 birds belonging to 74 species from Equatorial Guinea, using the 16S rRNA gene. Using four definitions for microbial taxonomic units (97%OTU, 99%OTU, 99%OTU with singletons removed, ASV), we conducted alpha and beta diversity analyses and used phylogenetic comparative methods to assess the evolution of the microbiome as a trait of bird species. We find that raw abundances and diversity varied between the datasets but relative patterns were largely consistent across datasets. Host taxonomy, diet and locality were significantly associated with microbiomes, at generally similar levels using three distance metrics. Phylogenetic comparative methods were used to assess the relationship between the microbiome as a trait of a host species and the underlying bird phylogeny. We find that a neutral Brownian motion model does not explain variation in microbiomes. Instead, a White Noise model that indicates the trait contains little to no phylogenetic signal, is most likely across many definitions of "microbiome trait". While there was some support for the Ornstein-Uhlenbeck model (that invokes selection), the level of support was similar to our White Noise simulation, further supporting the White Noise model as the best explanation for the evolution of the microbiome as a trait of avian hosts. Our study highlights the qualitatively minor impact that different analytical choices can have on results and that biological interpretations can be robust to method choice.