Literature DB >> 26101421

Population genetic variation, geographic structure, and multiple origins of autopolyploidy in Galax urceolata.

Stein Servick1, Clayton J Visger1, Matthew A Gitzendanner1, Pamela S Soltis2, Douglas E Soltis1.   

Abstract

PREMISE OF THE STUDY: Whereas population genetic studies have examined allopolyploids, comparable studies of naturally occurring autopolyploids remain rare. To address fundamental questions regarding autopolyploidy, we undertook a detailed population genetic study of one of the classic examples of autopolyploidy, Galax urceolata (Diapensiaceae), which comprises diploid, triploid, and autotetraploid cytotypes. Galax is endemic to the Appalachian Mountains, the adjacent piedmont, sandhills, and coastal plain and represents perhaps the most widely known example of autopolyploidy in nature.
METHODS: Flow cytometry was used to diagnose ploidal level of ∼1000 individuals across 71 populations. We used 10 microsatellite markers to examine genetic variation across the geographic range of Galax and assessed multiple origins though comparisons of diploid, triploid, and tetraploid accessions using multiple analytical approaches. KEY
RESULTS: Tetraploids had higher levels of heterozygosity than diploids did. Genetic variation in diploid and tetraploid Galax is geographically structured among the ecoregions of the southeastern United States. Autotetraploidy in Galax urceolata has occurred independently at least 46 times, with triploidy having occurred a minimum of 31 times.
CONCLUSIONS: Genetic differentiation among ecoregions suggests historical patterns of local adaptation. The numerous independent origins of tetraploid Galax reported here are among the highest frequencies of independent polyploidizations ever reported for any polyploid (auto- or allopolyploid).
© 2015 Botanical Society of America, Inc.

Entities:  

Keywords:  Diapensiaceae; Galax urceolata; autopolyploidy; geographic structure; multiple polyploid origins; population genetics, southeastern United States

Mesh:

Year:  2015        PMID: 26101421     DOI: 10.3732/ajb.1400554

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


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