Jennings W Bryan
Departamento de Vertebrados, Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Mol Ecol. 2017 Oct;26(19):4862-4871. doi: 10.1111/mec.14274. Epub 2017 Sep 14.
Multilocus coalescent methods for inferring species trees or historical demographic parameters typically require the assumption that gene trees for sampled SNPs or DNA sequence loci are conditionally independent given their species tree. In practice, researchers have used different criteria to delimit "independent loci." One criterion identifies sampled loci as being independent of each other if they undergo Mendelian independent assortment (IA criterion). O'Neill et al. (2013, Molecular Ecology, 22, 111-129) used this approach in their phylogeographic study of North American tiger salamander species complex. In two other studies, researchers developed a pair of related methods that employ an independent genealogies criterion (IG criterion), which considers the effects of population-level recombination on correlations between the gene trees of intrachromosomal loci. Here, I explain these three methods, illustrate their use with example data, and evaluate their efficacies. I show that the IA approach is more conservative, is simpler to use and requires fewer assumptions than the IG approaches. However, IG approaches can identify much larger numbers of independent loci than the IA method, which, in turn, allows researchers to obtain more precise and accurate estimates of species trees and historical demographic parameters. A disadvantage of the IG methods is that they require an estimate of the population recombination rate. Despite their drawbacks, IA and IG approaches provide molecular ecologists with promising a priori methods for selecting SNPs or DNA sequence loci that likely meet the independence assumption in coalescent-based phylogenomic studies.
对于采样的单核苷酸多态性(SNP)或DNA序列位点,给定其物种树时,基因树是条件独立的。在实际操作中,研究人员使用了不同的标准来界定“独立位点”。一个标准是,如果采样位点经历孟德尔独立分配,则将它们视为相互独立(IA标准)。奥尼尔等人(2013年,《分子生态学》,第22卷,第111 - 129页)在对北美虎螈物种复合体的系统地理学研究中使用了这种方法。在另外两项研究中,研究人员开发了一对相关方法,采用独立谱系标准(IG标准),该标准考虑了种群水平重组对染色体内位点基因树之间相关性的影响。在这里,我解释这三种方法,用示例数据说明它们的使用,并评估它们的功效。我表明,IA方法比IG方法更保守,使用更简单,所需假设更少。然而,IG方法能够识别出比IA方法多得多的独立位点,这反过来又使研究人员能够获得对物种树和历史种群统计学参数更精确准确的估计。IG方法的一个缺点是它们需要估计种群重组率。尽管有这些缺点,IA和IG方法为分子生态学家提供了有前景的先验方法,用于选择在基于合并的系统基因组学研究中可能满足独立性假设的SNP或DNA序列位点。