Harnessing paleo-environmental modeling and genetic data to predict intraspecific genetic structure

Evolutionary Applications
Glenn YannicLoïc Pellissier

Abstract

Spatially explicit simulations of gene flow within complex landscapes could help forecast the responses of populations to global and anthropological changes. Simulating how past climate change shaped intraspecific genetic variation can provide a validation of models in anticipation of their use to predict future changes. We review simulation models that provide inferences on population genetic structure. Existing simulation models generally integrate complex demographic and genetic processes but are less focused on the landscape dynamics. In contrast to previous approaches integrating detailed demographic and genetic processes and only secondarily landscape dynamics, we present a model based on parsimonious biological mechanisms combining habitat suitability and cellular processes, applicable to complex landscapes. The simulation model takes as input (a) the species dispersal capacities as the main biological parameter, (b) the species habitat suitability, and (c) the landscape structure, modulating dispersal. Our model emphasizes the role of landscape features and their temporal dynamics in generating genetic differentiation among populations within species. We illustrate our model on caribou/reindeer populations sampled acros...Continue Reading

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Methods Mentioned

BETA
ICE

Software Mentioned

vegan R package R package
TraCE
Splatche
vegan R package
CDPop
quantiNemo
randomForest R
PhyloGeoSim
CHELSA
gbm R

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