Journal
MOLECULAR ECOLOGY
Volume 24, Issue 16, Pages 4112-4128Publisher
WILEY
DOI: 10.1111/mec.13303
Keywords
approximate Bayesian computation; conservation; gene flow; landscape genetics; microsatellite; Paleolake
Funding
- NSERC
- Becas Chile
- Lett Fund Dalhousie University
- National Geographic Society
- Fondecyt [10800082, 1110441]
- Proyecto Asociativo Patagonia [213.310.063-AP]
- Red Doctoral REDOC.CTA, MINEDUC project at U. de Concepcion [UCO1202]
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Interpreting the genetic structure of a metapopulation as the outcome of gene flow over a variety of timescales is essential for the proper understanding of how changes in landscape affect biological connectivity. Here we contrast historical and contemporary connectivity in two metapopulations of the freshwater fish Galaxias platei in northern and southernmost Patagonia where paleolakes existed during the Holocene and Pleistocene, respectively. Contemporary gene flow was mostly high and asymmetrical in the northern system while extremely reduced in the southernmost system. Historical migration patterns were high and symmetric in the northern system and high and largely asymmetric in the southern system. Both systems showed a moderate structure with a clear pattern of isolation by distance (IBD). Effective population sizes were smaller in populations with low contemporary gene flow. An approximate Bayesian computation (ABC) approach suggests a late Holocene colonization of the lakes in the northern system and recent divergence of the populations from refugial populations from east and west of the Andes. For the southern system, the ABC approach reveals that some of the extant G.platei populations most likely derive from an ancestral population inhabiting a large Pleistocene paleolake while the rest derive from a higher-altitude lake. Our results suggest that neither historical nor contemporary processes individually fully explain the observed structure and geneflow patterns and both are necessary for a proper understanding of the factors that affect diversity and its distribution. Our study highlights the importance of a temporal perspective on connectivity to analyse the diversity of spatially complex metapopulations.
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