Literature DB >> 27696413

Genetic consequences of Quaternary climatic oscillations in the Himalayas: Primula tibetica as a case study based on restriction site-associated DNA sequencing.

Guangpeng Ren1,2,3, Rubén G Mateo1,4, Jianquan Liu3, Tomasz Suchan1, Nadir Alvarez1, Antoine Guisan1,4, Elena Conti5, Nicolas Salamin1,2.   

Abstract

The effects of Quaternary climatic oscillations on the demography of organisms vary across regions and continents. In taxa distributed in Europe and North America, several paradigms regarding the distribution of refugia have been identified. By contrast, less is known about the processes that shaped the species' spatial genetic structure in areas such as the Himalayas, which is considered a biodiversity hotspot. Here, we investigated the phylogeographic structure and population dynamics of Primula tibetica by combining genomic phylogeography and species distribution models (SDMs). Genomic data were obtained for 293 samples of P. tibetica using restriction site-associated DNA sequencing (RADseq). Ensemble SDMs were carried out to predict potential present and past distribution ranges. Four distinct lineages were identified. Approximate Bayesian computation analyses showed that each of them have experienced both expansions and bottlenecks since their divergence, which occurred during or across the Quaternary glacial cycles. The two lineages at both edges of the distribution were found to be more vulnerable and responded in different ways to past climatic changes. These results illustrate how past climatic changes affected the demographic history of Himalayan organisms. Our findings highlight the significance of combining genomic approaches with environmental data when evaluating the effects of past climatic changes.
© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

Entities:  

Keywords:  Himalayas; Quaternary climatic changes; demography; isolation by distance; phylogeography; population structure; restriction site-associated DNA sequencing (RADseq)

Mesh:

Year:  2016        PMID: 27696413     DOI: 10.1111/nph.14221

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  21 in total

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