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诊断线粒体DNA多样性:哨兵基因方法的应用

Diagnosing mitochondrial DNA diversity: applications of a sentinel gene approach.

作者信息

Clare Elizabeth L, Kerr Kevin C R, von Königslöw Taika E, Wilson John J, Hebert Paul D N

机构信息

Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada N1G 2W1.

出版信息

J Mol Evol. 2008 Apr;66(4):362-7. doi: 10.1007/s00239-008-9088-2. Epub 2008 Mar 27.

Abstract

Mitochondrial genomes show wide variation in their GC content. This study examines the correlations between mitochondrial genome-wide shifts in this feature and a fragment of the cytochrome c oxidase subunit I (COI) gene in animals, plants, and fungi. Because this approach utilizes COI as a sentinel, analyzing sequences from repositories such as GenBank and the Barcode of Life Data System (BOLD) can provide rapid insights into nucleotide usage. With this approach we probe nucleotide composition in a variety of taxonomic groups and establish the degree to which mitochondrial GC content varies among them. We then focus on two groups in particular, the classes Insecta and Aves, which possess the highest and lowest GC content, respectively. We establish that the sentinel approach provides strong indicators of mitochondrial GC content within divergent phyla (R values = 0.86-0.95, p < 0.001, in test cases) and provide evidence that selective pressures acting on GC content extend to noncoding regions of the plant and fungal mitochondrial genomes. We demonstrate that there is considerable variation in GC content of the mitochondrial genome within phyla and at each taxonomic level, leading to a substantial overlap zone in GC content between chordates and invertebrates. Our results provide a novel insight into the mitochondrial genome composition of animals, plants, and fungi and advocate this sentinel technique for the detection of rapid alterations in nucleotide usage as a measure of mitochondrial genome biodiversity.

摘要

线粒体基因组的GC含量存在广泛差异。本研究考察了动物、植物和真菌中该特征的线粒体全基因组变化与细胞色素c氧化酶亚基I(COI)基因片段之间的相关性。由于这种方法将COI用作哨兵,分析来自GenBank和生命条形码数据系统(BOLD)等数据库的序列能够快速洞察核苷酸使用情况。通过这种方法,我们探究了各种分类群中的核苷酸组成,并确定了线粒体GC含量在这些分类群之间的变化程度。然后我们特别关注了两个类群,即昆虫纲和鸟纲,它们分别拥有最高和最低的GC含量。我们证实,这种哨兵方法为不同门内的线粒体GC含量提供了有力指标(在测试案例中,R值 = 0.86 - 0.95,p < 0.001),并提供证据表明作用于GC含量的选择压力延伸至植物和真菌线粒体基因组的非编码区。我们证明,在门内以及每个分类水平上,线粒体基因组的GC含量都存在相当大的差异,导致脊索动物和无脊椎动物之间的GC含量出现大量重叠区域。我们的研究结果为动物、植物和真菌的线粒体基因组组成提供了新的见解,并倡导使用这种哨兵技术来检测核苷酸使用的快速变化,以此作为衡量线粒体基因组生物多样性的一种方法。

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