10.5061/DRYAD.2TS8094
Grieneisen, Laura E.
University of Minnesota
Charpentier, Marie J. E.
Institut des Sciences de l'Evolution de Montpellier
Alberts, Susan C.
Duke University
Blekhman, Ran
University of Minnesota
Bradburd, Gideon
Michigan State University
Tung, Jenny
Duke University
Archie, Elizabeth A.
University of Notre Dame
Data from: Genes, geology, and germs: gut microbiota across a primate
hybrid zone are explained by site soil properties, not host species
Dryad
dataset
2019
Papio
isolation by distance
2019-04-08T13:51:33Z
2019-04-08T13:51:33Z
en
https://doi.org/10.1098/rspb.2019.0431
3213495 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Gut microbiota in geographically isolated host populations are often
distinct. These differences have been attributed to between-population
differences in host behaviors, environments, genetics, and geographic
distance. However, which factors are most important remains unknown. Here
we fill this gap for baboons by leveraging information on 13 environmental
variables from 14 baboon populations spanning a natural hybrid zone.
Sampling across a hybrid zone allowed us to additionally test whether
phylosymbiosis (codiversification between hosts and their microbiota) is
detectable in admixed, closely related primates. We found little evidence
of genetic effects: neither host genetic ancestry, host genetic
relatedness, nor genetic distance between host populations were strong
predictors of baboon gut microbiota. Instead, gut microbiota were best
explained by the baboons’ environments, especially the soil’s geologic
history and exchangeable sodium. Indeed, soil effects were 15 times
stronger than those of host-population FST, perhaps because soil predicts
which foods are present, or because baboons are terrestrial and consume
soil microbes incidentally with their food. Our results support an
emerging picture in which environmental variation is the dominant
predictor of host-associated microbiomes. We are the first to show that
such effects overshadow host species identity among members of the same
primate genus.
geographic_distance_matrix_in_kmgeology_bray-curtisGeological Bray-Curtis
distance calculated from: Beicip. 1987 Geological Map of Kenya. (1987 ed.
Rueil-Malmaison, France, Ministry of Regional and Energy Development of
Kenya.population_FSTvegetation_bray-curtisVegetation values derived from:
Mayaux, P., Bartholomé, E., Fritz, S. & Belward, A. 2004 A new
land-cover map of Africa for the year 2000. J. Biogeogr. 31, 861-877.
(doi:10.1111/j.1365-2699.2004.01073.x).environmental_metadataEnvironmental
variables from Batjes, N. & Gicheru, P. 2004 Soil data derived
from SOTER for studies of carbon stocks and change in Kenya (GEF-SOC
Project; Version 1.0). ISRIC report 1.hybrid_scoreIndividual level hybrid
score, as calculated in TESS.lynch_ritland_relatednessPairwise genetic
relatedness
(Lynch-Ritland)otu_table_no_singletons_CSS_transformedGrieneisen_etal_SupplementaryTablesSupplemental tables
Kenya