Boys, Jacquelyn, Cherry, Marilyn and Dayanandan, Selvadurai (2005) Microsatellite analysis reveals genetically distinct populations of red pine (Pinus resinosa, Pinaceae). American Journal of Botany, 92 (5). pp. 833-841. ISSN 0002-9122
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Abstract
Red pine (Pinus resinosa Ait.) is an ecologically and economically important forest tree species of northeastern North America and is considered one of the most genetically depauperate conifer species in the region. We have isolated and characterized 13 nuclear microsatellite loci by screening a partial genomic library with di-, tri-, and tetranucleotide repeat oligonucleotide probes. In an analysis of over 500 individuals representing 17 red pine populations from Manitoba through Newfoundland, five polymorphic microsatellite loci with an average of nine alleles per locus were identified. The mean expected and observed heterozygosity values were 0.508 and 0.185, respectively. Significant departures from Hardy-Weinberg equilibrium with excess homozygosity indicating high levels of inbreeding were evident in all populations studied. The population differentiation was high with 28–35% of genetic variation partitioned among populations. The genetic distance analysis showed that three northeastern (two Newfoundland and one New Brunswick) populations are genetically distinct from the remaining populations. The coalescence-based analysis suggests that "northeastern" and "main" populations likely became isolated during the most recent Pleistocene glacial period, and severe population bottlenecks may have led to the evolution of a highly selfing mating system in red pine.
Divisions: | Concordia University > Faculty of Arts and Science > Biology |
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Item Type: | Article |
Refereed: | Yes |
Authors: | Boys, Jacquelyn and Cherry, Marilyn and Dayanandan, Selvadurai |
Journal or Publication: | American Journal of Botany |
Date: | May 2005 |
Funders: |
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Keywords: | genetic bottleneck; genetic diversity; microsatellites; Pinus; Pleistocene refugia; population genetics; Postglacial colonization |
ID Code: | 6702 |
Deposited By: | Danielle Dennie |
Deposited On: | 08 Jun 2010 21:16 |
Last Modified: | 18 Jan 2018 17:29 |
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