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Abundance and Distribution of Transposable Elements in Two Drosophila QTL Mapping Resources

机译:两种果蝇QTL定位资源中转座元件的丰度和分布

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Here we present computational machinery to efficiently and accurately identify transposable element (TE) insertions in 146 next-generation sequenced inbred strains of Drosophila melanogaster. The panel of lines we use in our study is composed of strains from a pair of genetic mapping resources: the Drosophila Genetic Reference Panel (DGRP) and the Drosophila Synthetic Population Resource (DSPR). We identified 23,087 TE insertions in these lines, of which 83.3 are found in only one line. There are marked differences in the distribution of elements over the genome, with TEs found at higher densities on the X chromosome, and in regions of low recombination. We also identified many more TEs per base pair of intronic sequence and fewer TEs per base pair of exonic sequence than expected if TEs are located at random locations in the euchromatic genome. There was substantial variation in TE load across genes. For example, the paralogs derailed and derailed-2 show a significant difference in the number of TE insertions, potentially reflecting differences in the selection acting on these loci. When considering TE families, we find a very weak effect of gene family size on TE insertions per gene, indicating that as gene family size increases the number of TE insertions in a given gene within that family also increases. TEs are known to be associated with certain phenotypes, and our data will allow investigators using the DGRP and DSPR to assess the functional role of TE insertions in complex trait variation more generally. Notably, because most TEs are very rare and often private to a single line, causative TEs resulting in phenotypic differences among individuals may typically fail to replicate across mapping panels since individual elements are unlikely to segregate in both panels. Our data suggest that “burden tests” that test for the effect of TEs as a class may be more fruitful.
机译:在这里,我们展示了一种计算机制,以高效准确地识别 146 个下一代测序的黑腹果蝇近交系中的转座元件 (TE) 插入。我们在研究中使用的一组品系由来自一对遗传图谱资源的菌株组成:果蝇遗传参考谱(DGRP)和果蝇合成种群资源(DSPR)。我们在这些品系中发现了 23,087 个 TE 插入,其中 83.3% 仅在一条品系中发现。基因组上元素的分布存在显着差异,TE在X染色体上的密度较高,而在低重组区域。如果TE位于常染色族基因组中的随机位置,我们还鉴定出每个碱基对的内含子序列的TE更多,每个外显子序列碱基对的TE比预期的要少得多。不同基因的 TE 载量存在显著差异。例如,脱轨和脱轨的旁系同源物-2 显示出 TE 插入数量的显着差异,这可能反映了作用于这些位点的选择差异。在考虑 TE 家族时,我们发现基因家族大小对每个基因的 TE 插入的影响非常微弱,这表明随着基因家族大小的增加,该家族中给定基因中的 TE 插入数量也会增加。已知 TE 与某些表型相关,我们的数据将使研究人员能够使用 DGRP 和 DSPR 更广泛地评估 TE 插入在复杂性状变异中的功能作用。值得注意的是,由于大多数 TE 非常罕见,并且通常是单个品系的私有,因此导致个体之间表型差异的致病性 TE 通常可能无法在映射面板之间复制,因为单个元素不太可能在两个面板中分离。我们的数据表明,测试TE作为一个类的影响的“负担测试”可能更有成效。

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