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防止核线粒体假基因(numts)污染线粒体数据集。

Preventing the pollution of mitochondrial datasets with nuclear mitochondrial paralogs (numts).

机构信息

Université de Lyon, Université Lyon 1, Villeurbanne, CNRS, UMR5023, Laboratoire d'Ecologie des Hydrosystèmes Fluviaux, France.

出版信息

Mitochondrion. 2011 Mar;11(2):246-54. doi: 10.1016/j.mito.2010.10.004. Epub 2010 Nov 1.

DOI:10.1016/j.mito.2010.10.004
PMID:21047564
Abstract

Molecular tools have become prominent in ecology and evolution. A target of choice for molecular ecologists and evolutionists is mitochondrial DNA (mtDNA), whose many advantages have also convinced broad-scale, pragmatic programmes such as barcode initiatives. Of course, mtDNA is also of interest to human geneticists investigating mitochondrial diseases. Studies using mtDNA are however put at great risk by the inadvertent co-amplification or preferred amplification of nuclear pseudogenes (numts). A posteriori analysis of putative mtDNA sequences can help in removing numts but faces severe limitations (e.g. recently translocated numts will most of the time go unnoticed). Counter-measures taken a priori, i.e. explicitly designed for avoiding numt co-amplification or preferred amplification, are appealing but have never been properly assessed. Here we investigate the efficiency of four such measures (mtDNA enrichment, cDNA amplification, long-range amplification and pre-PCR dilution) on a common set of numt cases, showing that mtDNA enrichment is the worst performer while the use of pre-PCR dilution is a simple, yet robust method to prevent the pollution of putative mtDNA datasets with numts. Therefore, straightforward recommendations can be made that, if followed, will considerably increase the confidence in the mitochondrial origin of any mtDNA-like sequence.

摘要

分子工具在生态学和进化生物学中已经变得非常重要。分子生态学家和进化生物学家选择的一个目标是线粒体 DNA(mtDNA),其许多优势也使大规模的实用计划(如条形码倡议)信服。当然,mtDNA 也引起了研究线粒体疾病的人类遗传学家的兴趣。然而,使用 mtDNA 的研究由于核假基因(numt)的偶然共扩增或优先扩增而面临巨大风险。对假定的 mtDNA 序列进行的事后分析有助于去除 numt,但面临严重的限制(例如,最近易位的 numt 大部分时间都不会被注意到)。事先采取的对策,即明确设计用于避免 numt 共扩增或优先扩增的对策,很有吸引力,但从未得到适当评估。在这里,我们研究了四种此类措施(mtDNA 富集、cDNA 扩增、长距离扩增和 PCR 前稀释)在一组常见的 numt 案例中的效率,结果表明 mtDNA 富集是表现最差的方法,而使用 PCR 前稀释是一种简单但强大的方法,可以防止 numt 污染假定的 mtDNA 数据集。因此,可以提出一些简单的建议,如果遵循这些建议,将大大提高对任何类似 mtDNA 序列的线粒体起源的信心。

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