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On the comparison of population-level estimates of haplotype and nucleotide diversity: a case study using the gene cox1 in animals

机译:关于单倍型和核苷酸多样性的种群水平估计的比较:使用基因cox1在动物中的案例研究

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摘要

Estimates of genetic diversity represent a valuable resource for biodiversity assessments and are increasingly used to guide conservation and management programs. The most commonly reported estimates of DNA sequence diversity in animal populations are haplotype diversity (h) and nucleotide diversity (π) for the mitochondrial gene cytochrome c oxidase subunit I (cox1). However, several issues relevant to the comparison of h and π within and between studies remain to be assessed. We used population-level cox1 data from peer-reviewed publications to quantify the extent to which data sets can be re-assembled, to provide a standardized summary of h and π estimates, to explore the relationship between these metrics and to assess their sensitivity to under-sampling. Only 19 out of 42 selected publications had archived data that could be unambiguously re-assembled; this comprised 127 population-level data sets (n⩾15) from 23 animal species. Estimates of h and π were calculated using a 456-base region of cox1 that was common to all the data sets (median h=0.70130, median π=0.00356). Non-linear regression methods and Bayesian information criterion analysis revealed that the most parsimonious model describing the relationship between the estimates of h and π was π=0.0081h2. Deviations from this model can be used to detect outliers due to biological processes or methodological issues. Subsampling analyses indicated that samples of n>5 were sufficient to discriminate extremes of high from low population-level cox1 diversity, but samples of n⩾25 are recommended for greater accuracy.
机译:遗传多样性的估计是进行生物多样性评估的宝贵资源,并越来越多地用于指导保护和管理计划。动物种群中最常见的DNA序列多样性估计值是线粒体基因细胞色素C氧化酶亚基I(cox1)的单倍型多样性(h)和核苷酸多样性(π)。但是,与研究中和研究之间的h和π比较有关的几个问题仍有待评估。我们使用来自同行评审出版物的总体水平的cox1数据来量化数据集可以重组的程度,以提供h和π估计值的标准化摘要,以探索这些指标之间的关系并评估其对采样不足。在42个选定的出版物中,只有19个归档的数据可以明确地重组。其中包括来自23种动物的127个种群水平的数据集(n⩾15)。使用所有数据集共有的456个碱基的cox1区域计算h和π的估计值(中位数h = 0.70130,中位数π= 0.00356)。非线性回归方法和贝叶斯信息准则分析表明,描述h和π估计之间关系的最简约模型是π = 0.0081 h 2 < / sup>。由于生物学过程或方法问题,与该模型的偏差可用于检测异常值。二次抽样分析表明, n cox1 多样性极端,而 n ⩾样本建议使用25个以提高准确性。

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