Hollenbeck C M, Portnoy D S, Gold J R
Marine Genomics Laboratory, Department of Life Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA.
Heredity (Edinb). 2016 Oct;117(4):207-16. doi: 10.1038/hdy.2016.30. Epub 2016 May 11.
Estimation of contemporary effective population size (Ne) from linkage disequilibrium (LD) between unlinked pairs of genetic markers has become an important tool in the field of population and conservation genetics. If data pertaining to physical linkage or genomic position are available for genetic markers, estimates of recombination rate between loci can be combined with LD data to estimate contemporary Ne at various times in the past. We extend the well-known, LD-based method of estimating contemporary Ne to include linkage information and show via simulation that even relatively small, recent changes in Ne can be detected reliably with a modest number of single-nucleotide polymorphism (SNP) loci. We explore several issues important to interpretation of the results and quantify the bias in estimates of contemporary Ne associated with the assumption that all loci in a large SNP data set are unlinked. The approach is applied to an empirical data set of SNP genotypes from a population of a marine fish where a recent, temporary decline in Ne is known to have occurred.
通过非连锁遗传标记对之间的连锁不平衡(LD)来估计当代有效种群大小(Ne),已成为种群遗传学和保护遗传学领域的一项重要工具。如果遗传标记有关于物理连锁或基因组位置的数据,那么位点间重组率的估计值可与LD数据相结合,以估计过去不同时间的当代Ne。我们扩展了著名的基于LD估计当代Ne的方法,将连锁信息纳入其中,并通过模拟表明,即使Ne近期发生相对较小的变化,使用适度数量的单核苷酸多态性(SNP)位点也能可靠地检测到。我们探讨了对结果解释很重要的几个问题,并量化了与假设大型SNP数据集中所有位点均无连锁相关的当代Ne估计偏差。该方法应用于一个海洋鱼类种群的SNP基因型实证数据集,已知该种群的Ne近期曾出现暂时下降。