Literature DB >> 19925592

Pleistocene glaciations and contemporary genetic diversity in a Beringian fish, the broad whitefish, Coregonus nasus (Pallas): inferences from microsatellite DNA variation.

L N Harris1, E B Taylor.   

Abstract

The contemporary distribution of genetic variation within and among high latitude populations cannot be fully understood without taking into consideration how species responded to the impacts of Pleistocene glaciations. Broad whitefish, Coregonus nasus, a species endemic to northwest North America and the Arctic coast of Russia, was undoubtedly impacted by such events because its geographic distribution suggests that it survived solely within the Beringian refuge from where it dispersed post-glacially to achieve its current range. We used microsatellite DNA to investigate the role of glaciations in promoting intraspecific genetic variation in broad whitefish (N = 14 localities, 664 fish) throughout their North American range and in one Russian sample. Broad whitefish exhibited relatively high intrapopulation variation (average of 11.7 alleles per locus, average H(E) = 0.61) and moderate levels of interpopulation divergence (overall F(ST) = 0.10). The main regions assayed in our study (Russia, Alaska, Mackenzie River and Travaillant Lake systems) were genetically differentiated from each other and there were declines in genetic diversity with distance from putative refugia. Additionally, Mackenzie River system populations showed less developed and more variable patterns of isolation-by-distance than populations occupying former Alaskan portions of Beringia. Finally, our data suggest that broad whitefish dispersed from Beringia using coastal environments and opportunistically via headwater stream connections that once existed between Yukon and Mackenzie River drainages. Our results illustrate the importance of history (e.g. glaciation) and contemporary dispersal ecology in shaping the current genetic population structure of Arctic faunas.

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Year:  2009        PMID: 19925592     DOI: 10.1111/j.1420-9101.2009.01858.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  6 in total

1.  Beringian sub-refugia revealed in blackfish (Dallia): implications for understanding the effects of Pleistocene glaciations on Beringian taxa and other Arctic aquatic fauna.

Authors:  Matthew A Campbell; Naoki Takebayashi; J Andrés López
Journal:  BMC Evol Biol       Date:  2015-07-19       Impact factor: 3.260

2.  Contrasting population genetic structure among freshwater-resident and anadromous lampreys: the role of demographic history, differential dispersal and anthropogenic barriers to movement.

Authors:  Fiona S A Bracken; A Rus Hoelzel; John B Hume; Martyn C Lucas
Journal:  Mol Ecol       Date:  2015-03-06       Impact factor: 6.185

3.  Understanding population structure and historical demography of Litsea auriculata (Lauraceae), an endangered species in east China.

Authors:  Qifang Geng; Lin Sun; Peihua Zhang; Zhongsheng Wang; Yingxiong Qiu; Hong Liu; Chunlan Lian
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

4.  Microsatellite and mtDNA analysis of lake trout, Salvelinus namaycush, from Great Bear Lake, Northwest Territories: impacts of historical and contemporary evolutionary forces on Arctic ecosystems.

Authors:  Les N Harris; Kimberly L Howland; Matthew W Kowalchuk; Robert Bajno; Melissa M Lindsay; Eric B Taylor
Journal:  Ecol Evol       Date:  2012-12-14       Impact factor: 2.912

5.  Genetic connectivity among and self-replenishment within island populations of a restricted range subtropical reef fish.

Authors:  Martin H van der Meer; Jean-Paul A Hobbs; Geoffrey P Jones; Lynne van Herwerden
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

6.  Phylogeographic studies of schizothoracine fishes on the central Qinghai-Tibet Plateau reveal the highest known glacial microrefugia.

Authors:  Yangyang Liang; Dekui He; Yintao Jia; Heying Sun; Yifeng Chen
Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

  6 in total

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