Literature DB >> 17396020

Close genetic relationship between cultivated and natural populations of common buckwheat in the Sanjiang area is not due to recent gene flow between them-An analysis using microsatellite markers.

Takehiko Konishi1, Ohmi Ohnishi.   

Abstract

Natural populations of wild common buckwheat have been found growing adjacent to cultivated populations of common buckwheat. Gene flow between the cultivated and natural populations would be expected in such cases. To evaluate the amount of gene flow, two sets composed of a cultivated buckwheat population and an adjacent natural population of wild common buckwheat were chosen, one from Yanjing village in the Sanjiang area, which is presumed to be the original birthplace of common buckwheat, and one from Jinhe village, Yanyuan district of Sichuan province in China. The genotypes of 45 individuals from each population were examined at eight microsatellite marker loci to estimate the magnitude of gene flow between the cultivated and wild common buckwheat populations. The Bayesian method with a Markov chain Monte Carlo approach estimated that the magnitude of gene flow between the populations in the Sanjiang area at 0.002-0.008 was not significantly different from that found in Yanyuan district at 0.002-0.008. The gene flow between cultivated populations was higher, usually at 0.002-0.044 (exceptionally high at 0.255 between cultivated populations of Yanjing and Jinhe), than that found between a cultivated population and a natural population (0.002-0.008) or between two natural populations (0.002-0.003). Therefore, the genetic similarity found between the cultivated populations and natural populations observed in the Sanjiang area (Konishi et al., 2005) was not due to recent gene flow between them. This in turn suggests that the close genetic relationship found in the Sanjiang area may be due to the common ancestry of the natural populations and cultivated common buckwheat.

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Year:  2007        PMID: 17396020     DOI: 10.1266/ggs.82.53

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


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