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区分大猩猩线粒体序列与核整合序列及PCR重组序列:复杂序列数据库中其诊断指南

Distinguishing gorilla mitochondrial sequences from nuclear integrations and PCR recombinants: guidelines for their diagnosis in complex sequence databases.

作者信息

Anthony Nicola M, Clifford Stephen L, Bawe-Johnson Mireille, Abernethy Kate A, Bruford Michael W, Wickings E Jean

机构信息

School of Biosciences, Cardiff University, Wales CF10 3TL, UK.

出版信息

Mol Phylogenet Evol. 2007 May;43(2):553-66. doi: 10.1016/j.ympev.2006.09.013. Epub 2006 Sep 28.

Abstract

Nuclear integrations of mitochondrial DNA (Numts) are widespread in many taxa and if left undetected can confound phylogeny interpretation and bias estimates of mitochondrial DNA (mtDNA) diversity. This is particularly true in gorillas, where recent studies suggest multiple integrations of the first hypervariable (HV1) domain of the mitochondrial control region. Problems can also arise through the inadvertent incorporation of artifacts produced by in vitro recombination between sequence types during polymerase chain reaction amplification. This issue has attracted little attention yet could potentially exacerbate errors in databases already contaminated by Numts. Using a set of existing diagnostic tools, this study set out to systematically inventory Numts and PCR recombinants in a gorilla HV1 sequence database and address the degree to which existing public databases are contaminated. Phylogenetic analysis revealed three distinct gorilla HV1 Numt groups (I, II, and III) that could be readily differentiated from mtDNA sequences by Numt-specific diagnostic sites and sequence-based motifs. Several instances of genuine recombination were also identified by a suite of detection methods. The location of putative breakpoints was identified by eye and by likelihood analysis. Findings from this study reveal widespread nuclear contamination of gorilla HV1 GenBank databases and underline the importance of recognizing not only Numts but also PCR recombinant artifacts as potential sources of data contamination. Guidelines for the routine identification of Numts and in vitro recombinants are presented and should prove useful in the detection of similar artifacts in other species mtDNA databases.

摘要

线粒体DNA的核整合(Numts)在许多分类群中广泛存在,如果未被检测到,可能会混淆系统发育解释并使线粒体DNA(mtDNA)多样性的估计产生偏差。在大猩猩中尤其如此,最近的研究表明线粒体控制区的第一个高变区(HV1)存在多次整合。在聚合酶链反应扩增过程中,由于序列类型之间的体外重组产生的人工产物被意外纳入,也可能会出现问题。这个问题很少受到关注,但可能会加剧已经被Numts污染的数据库中的错误。本研究使用一组现有的诊断工具,系统地清查了大猩猩HV1序列数据库中的Numts和PCR重组体,并探讨了现有公共数据库的污染程度。系统发育分析揭示了三个不同的大猩猩HV1 Numt组(I、II和III),通过Numt特异性诊断位点和基于序列的基序,可以很容易地将它们与mtDNA序列区分开来。通过一系列检测方法还鉴定出了几例真正的重组事件。通过肉眼观察和似然分析确定了推定断点的位置。本研究的结果揭示了大猩猩HV1 GenBank数据库中广泛存在的核污染,并强调了不仅要认识到Numts,还要认识到PCR重组人工产物是潜在的数据污染源的重要性。本文提出了常规鉴定Numts和体外重组体的指导方针,这些指导方针在检测其他物种mtDNA数据库中的类似人工产物时应会很有用。

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