The genetic structure of sea beet (Beta vulgaris ssp. maritima) populations.: III.: Detection of isolation by distance at microsatellite loci

The genetic structure of sea beet (Beta vulgaris ssp. maritima) populations.: III.: Detection of isolation by distance at microsatellite loci
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DOI:
10.1046/j.1365-2540.1998.00265.x
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发表时间:
1998-01-01
期刊:
影响因子:
3.8
通讯作者:
Clarke, RT
Clarke, RT
中科院分区:
生物学2区
文献类型:
--
作者:
Raybould, AF;Mogg, RJ;Clarke, RT

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研究了多塞特海岸5个海甜菜群体的3个微卫星座位的遗传变异。用两种不同的方法估计了群体间的遗传变异。使用程序FSTAT获得F-ST的估计值,并使用程序AMOVA获得R-ST的估计值。这些不同的遗传距离估计被用来通过部分矩阵对应检验距离隔离,并与同工酶和单拷贝核限制片段长度多态(RFLP)估计的F-ST的变异模式进行比较。同工酶的F-ST、RFLP的F-ST和微卫星的R-ST都表现出距离分离的证据,而微卫星的F-ST在群体内表现出很强的相似性,与距离无关。这些结果表明,与同工酶和RFLP相比,这些群体中微卫星座位的突变率较高。他们还表明,这些基因座正在发生逐步突变过程。这些数据提供了有价值的证据,表明所有三种类型的标记都可以检测到相似的种群结构模式。关于人类群体中微卫星座位的遗传距离的估计,本文对结果进行了讨论。
Variation at three microsatellite loci was investigated in five populations of sea beet on the Dorset coast. Genetic variation among the populations was estimated using two different methods. Estimates of F-ST were obtained using the program FSTAT, and estimates of R-ST were obtained using the program AMOVA. These different estimates of genetic distance were used to test for isolation by distance with partial matrix correspondence tests and were compared with patterns of variation in F-ST estimates from isozymes and single-copy nuclear restriction fragment length polymorphisms (RFLPs). F-ST from isozymes, F-ST from RFLPs and R-ST from microsatellites all showed evidence of isolation by distance, whereas F-ST from microsatellites showed strong similarities within populations that were not related to distance. These results suggest that, compared with isozymes and RFLPs, mutation rates at microsatellite loci are high in these populations. They also suggest that stepwise mutation processes are occurring at these loci. The data provide valuable evidence that all three types of marker can detect similar patterns of population structure. The results are discussed with respect to estimates of genetic distance at microsatellite loci in human populations.