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Minding the gap: frequency of indels in mtDNA control region sequence data and influence on population genetic analyses

机译:缩小差距:mtDNA控制区序列数据中插入缺失的频率及其对种群遗传分析的影响

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Insertions and deletions (indels) result in sequences of various lengths when homologous gene regions are compared among individuals or species. Although indels are typically phylogenetically informative, occurrence and incorporation of these characters as gaps in intraspecific population genetic data sets are rarely discussed. Moreover, the impact of gaps on estimates of fixation indices, such as F-ST, has not been reviewed. Here, I summarize the occurrence and population genetic signal of indels among 60 published studies that involved alignments of multiple sequences from the mitochondrial DNA (mtDNA) control region of vertebrate taxa. Among 30 studies observing indels, an average of 12% of both variable and parsimony-informative sites were composed of these sites. There was no consistent trend between levels of population differentiation and the number of gap characters in a data block. Across all studies, the average influence on estimates of Phi(ST) was small, explaining only an additional 1.8% of among population variance (range 0.0-8.0%). Studies most likely to observe an increase in Phi(ST) with the inclusion of gap characters were those with < 20 variable sites, but a near equal number of studies with few variable sites did not show an increase. In contrast to studies at interspecific levels, the influence of indels for intraspecific population genetic analyses of control region DNA appears small, dependent upon total number of variable sites in the data block, and related to species-specific characteristics and the spatial distribution of mtDNA lineages that contain indels.
机译:当在个体或物种之间比较同源基因区域时,插入和缺失(indels)产生各种长度的序列。尽管插入缺失通常在系统发育上提供信息,但是很少讨论将这些特征作为种内种群遗传数据集中的缺口的出现和并入。此外,还没有审查缺口对诸如F-ST之类的注视指数估计的影响。在这里,我总结了60篇已发表的研究中indel的发生和种群遗传信号,这些研究涉及脊椎动物类群的线粒体DNA(mtDNA)控制区的多个序列的比对。在30个观察到indel的研究中,平均12%的可变和简约信息位点均由这些位点组成。数据块中的人口分化程度和缺口特征数量之间没有一致的趋势。在所有研究中,对Phi(ST)估计值的平均影响很小,仅解释了人口差异中另外1.8%(范围为0.0-8.0%)。带有缺口特征的最有可能观察到Phi(ST)升高的研究是那些具有<20个可变位点的研究,但是几乎相同数量的几乎没有可变位点的研究没有显示出增加。与种间水平的研究相比,插入缺失对控制区DNA的种内种群遗传分析的影响似乎很小,这取决于数据块中可变位点的总数,并且与物种特异性特征和mtDNA谱系的空间分布有关包含indel。

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