Journal
TREE GENETICS & GENOMES
Volume 6, Issue 3, Pages 377-387Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11295-009-0256-3
Keywords
Betula maximowicziana; Chichibu mountain range; Genetic barrier; Landscape genetics; Monmonier's and SAMOVA algorithms; STRUCTURE analysis; Genetic diversity
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Funding
- Ministry of Education, Culture, Sports, Science and Technology, Japan [19380082]
- Ministry of Environment, Japan
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We evaluated the genetic structure of 16 Betula maximowicziana populations in the Chichibu mountain range, central Japan, located within a 25-km radius; all but two populations were at altitudes of 1,100-1,400 m. The results indicate the effects of geographic topology on the landscape genetic structure of the populations and should facilitate the development of local-scale strategies to conserve and manage them. Analyses involving 11 nuclear simple sequence repeat loci showed that most populations had similar intrapopulation genetic diversity parameters. Population differentiation (F (ST) = 0.021, G'(ST) = 0.033) parameters for the populations examined were low but were relatively high compared to those obtained in a previous study covering populations in a much larger area with a radius of approximately 1,000 km (F (ST) = 0.062, G'(ST) = 0.102). Three populations (Iriyama, Kanayamasawa, and Nishizawa) were differentiated from the other populations by Monmonier's and spatial analysis of molecular variance algorithms or by STRUCTURE analysis. Since a high mountain ridge (nearly 2,000 m) separates the Kanayamasawa and Nishizawa populations from the other 14 populations and the Kanayamasawa and Nishizawa populations are themselves separated by another mountain ridge, the genetic structure appears to be partly due to mountain ridges acting as genetic barriers and restricting gene flow. However, the Iriyama population is genetically different but not separated by any clear geographic barrier. These results show that the landscape genetic structure is complex in the mountain range and we need to pay attention, within landscape genetic studies and conservation programs, to geographic barriers and local population differentiation.
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