Conveniently pre-tagged and pre-packaged: extended molecular identification and metagenomics using complete metazoan mitochondrial genomes.

Conveniently pre-tagged and pre-packaged: extended molecular identification and metagenomics using complete metazoan mitochondrial genomes.
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DOI:
10.1371/journal.pone.0051263
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Debruyne R
Debruyne R
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Dettai A;Gallut C;Brouillet S;Pothier J;Lecointre G;Debruyne R

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研究人员迫切需要利用下一代测序技术(NGST)的全部潜力进行生物多样性探索的标记和方法(包括标本连接和宏基因组学)。目前,大多数研究依赖于昂贵的多重标记、PCR引物通用性和/或使用很少的标记,有时变异性不足。我们提出了一种新的方法来分离和测序一个通用的,有用的和流行的标记跨遥远的,非模式后生动物:完整的线粒体基因组。它依赖于后生动物有丝分裂基因组的富集特性,依赖于仔细选择要多重化的生物体,以及依赖于广泛收集的积累的线粒体参考数据集用于测序后排序和鉴定,而不是单个标记。可以同时对多个不同的生物体进行测序,并且以非常低的成本获得其完整的有丝分裂基因组。我们为一组选定的示例数据集提供数据集组装的计算机测试。该方法生成大的有丝分裂基因组数据集。这些序列可用于线粒体遗传学、分子鉴定和分子生态学研究,并且与基于线粒体序列的所有现有项目或可用数据集(例如生命条形码项目)兼容。我们的方法可以从鉴定的样品和宏基因组样品中产生序列。这两种研究使用相同的数据集是一种强大的方法,特别是因为数据集即使在物种水平上也具有很高的变异性,并且将是对目前在宏基因组研究中流行的变异较小的18 S rDNA的有用补充。
Researchers sorely need markers and approaches for biodiversity exploration (both specimen linked and metagenomics) using the full potential of next generation sequencing technologies (NGST). Currently, most studies rely on expensive multiple tagging, PCR primer universality and/or the use of few markers, sometimes with insufficient variability. We propose a novel approach for the isolation and sequencing of a universal, useful and popular marker across distant, non-model metazoans: the complete mitochondrial genome. It relies on the properties of metazoan mitogenomes for enrichment, on careful choice of the organisms to multiplex, as well as on the wide collection of accumulated mitochondrial reference datasets for post-sequencing sorting and identification instead of individual tagging. Multiple divergent organisms can be sequenced simultaneously, and their complete mitogenome obtained at a very low cost. We provide in silico testing of dataset assembly for a selected set of example datasets. This approach generates large mitogenome datasets. These sequences are useful for phylogenetics, molecular identification and molecular ecology studies, and are compatible with all existing projects or available datasets based on mitochondrial sequences, such as the Barcode of Life project. Our method can yield sequences both from identified samples and metagenomic samples. The use of the same datasets for both kinds of studies makes for a powerful approach, especially since the datasets have a high variability even at species level, and would be a useful complement to the less variable 18S rDNA currently prevailing in metagenomic studies.
DOI: 10.1371/journal.pone.0038215
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影响因子: 3.7
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影响因子: 11.1
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