Sunnucks P, Wilson A C, Beheregaray L B, Zenger K, French J, Taylor A C
Department of Biological Sciences, Macquarie University, NSW 2109, Australia.
Mol Ecol. 2000 Nov;9(11):1699-710. doi: 10.1046/j.1365-294x.2000.01084.x.
All genetic markers are estimators of DNA nucleotide sequence variation. Rather than obtaining DNA sequence data, it is cheaper and faster to use techniques that estimate sequence variation, although this usually results in the loss of some information. SSCP (single-stranded conformation polymorphism) offers a sensitive but inexpensive, rapid, and convenient method for determining which DNA samples in a set differ in sequence, so that only an informative subset need be sequenced. In short, most DNA sequence variation can be detected with relatively little sequencing. SSCP has been widely applied in medical diagnosis, yet few studies have been published in population genetics. The utility and convenience of SSCP is far from fully appreciated by molecular population biologists. We hope to help redress this by illustrating the application of a single simple SSCP protocol to mitochondrial genes, nuclear introns, microsatellites, and anonymous nuclear sequences, in a range of vertebrates and invertebrates.
所有遗传标记都是DNA核苷酸序列变异的估计值。相比于获取DNA序列数据，使用估计序列变异的技术成本更低且速度更快，尽管这通常会导致一些信息的丢失。单链构象多态性（SSCP）提供了一种灵敏但廉价、快速且便捷的方法，用于确定一组DNA样本中哪些在序列上存在差异，从而只需对信息丰富的子集进行测序。简而言之，通过相对较少的测序就能检测到大多数DNA序列变异。SSCP已在医学诊断中广泛应用，但在群体遗传学方面发表的研究却很少。分子群体生物学家对SSCP的实用性和便利性远未充分认识。我们希望通过展示一种简单的SSCP方案在一系列脊椎动物和无脊椎动物的线粒体基因、核内含子、微卫星和匿名核序列中的应用来帮助纠正这一情况。
