10.5061/DRYAD.QV9S4MW9C
Rodrigues do Prado, Joyce
0000-0002-2025-5479
Universidade Federal do Espírito Santo
Prado, Joyce R.
0000-0002-2025-5479
University of Sao Paulo
Percequillo, Alexandre R.
0000-0002-7892-8912
University of Sao Paulo
Thomaz, Andréa T.
0000-0002-9755-2674
University of Michigan–Ann Arbor
Knowles, L. Lacey
0000-0002-6567-4853
University of Michigan–Ann Arbor
Similar but different: Revealing the relative roles of species‐traits
versus biome properties structuring genetic variation in South American
marsh rats
Dryad
dataset
2019
environment
next‐generation sequencing
Rodent
wetland
São Paulo Research Foundation
https://ror.org/02ddkpn78
2009/16009–1
São Paulo Research Foundation
https://ror.org/02ddkpn78
2014/22444–0
São Paulo Research Foundation
https://ror.org/02ddkpn78
2016/20055‐2
São Paulo Research Foundation
https://ror.org/02ddkpn78
2012/24099–3
2019-10-17T00:00:00Z
2019-10-17T00:00:00Z
en
https://doi.org/10.1111/jbi.13529
326754 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Aim: Wetland habitats, and the ecological restrictions imposed by them,
structure patterns of genetic variation in constituent taxa. As such,
genetic variation may reflect properties of the specific biomes species
inhabit, or shared life history traits among species may result in similar
genetic structure. We evaluated these hypotheses jointly by quantifying
the similarity of genetic structure in three South American marsh rat
species (Holochilus), and test how genetic variation in each species
relates to biome‐specific environmental space and historical stability.
Location: South America. Taxon: Rodentia. Methods: Using complementary
analyses (Mantel tests, dbRDA, Procrustes, covariance structure of allele
frequencies and environmental niche models [ENMs]) with 8,000–32,000 SNPs
per species, we quantified the association between genomic variation and
geographic and/or environmental differences. Results: Significant
association between genetic variation and geography was identified for all
species. Similarity in the strength of the association suggests
connectivity patterns dictated by shared species‐traits predominate at the
biome scale. However, substantial amounts of genetic variation are not
explained by geography. Focusing on this portion of the variance, we
demonstrate a significant quantitative association between genetic
variation and the environmental space of a biome, and a
qualitative association with varying regional stability. Specifically,
historically stable areas estimated from ecological niche models are
correlated with local levels of geographic structuring, suggesting that
local biome‐specific histories affect population isolation/ connectivity.