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The past present and future of mitochondrial genomics: have we sequenced enough mtDNAs?

机译:线粒体基因组学的过去现在和未来:我们是否对足够的mtDNA进行了测序?

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摘要

The year 2014 saw more than a thousand new mitochondrial genome sequences deposited in GenBank—an almost 15% increase from the previous year. Hundreds of peer-reviewed articles accompanied these genomes, making mitochondrial DNAs (mtDNAs) the most sequenced and reported type of eukaryotic chromosome. These mtDNA data have advanced a wide range of scientific fields, from forensics to anthropology to medicine to molecular evolution. But for many biological lineages, mtDNAs are so well sampled that newly published genomes are arguably no longer contributing significantly to the progression of science, and in some cases they are tying up valuable resources, particularly journal editors and referees. Is it time to acknowledge that as a research community we have published enough mitochondrial genome papers? Here, I address this question, exploring the history, milestones and impacts of mitochondrial genomics, the benefits and drawbacks of continuing to publish mtDNAs at a high rate and what the future may hold for such an important and popular genetic marker. I highlight groups for which mtDNAs are still poorly sampled, thus meriting further investigation, and recommend that more energy be spent characterizing aspects of mitochondrial genomes apart from the DNA sequence, such as their chromosomal and transcriptional architectures. Ultimately, one should be mindful before writing a mitochondrial genome paper. Consider perhaps sending the sequence directly to GenBank instead, and be sure to annotate it correctly before submission.
机译:2014年,GenBank中存储了超过一千个新的线粒体基因组序列,比上一年增长了近15%。数百篇经过同行评审的文章都伴随着这些基因组,使线粒体DNA(mtDNA)成为测序和报道最多的真核染色体类型。这些mtDNA数据已经发展了广泛的科学领域,从法医学到人类学再到医学再到分子进化。但是对于许多生物谱系来说,mtDNA的采样非常好,以至于新发表的基因组可能不再对科学的发展做出重大贡献,在某些情况下,它们正在占用宝贵的资源,尤其是期刊编辑和裁判员。是时候承认一个研究社区,我们已经发表了足够的线粒体基因组论文?在这里,我将探讨这个问题,探索线粒体基因组学的历史,里程碑和影响,继续高速率发布mtDNA的利弊,以及这种重要且流行的遗传标记物的未来前景。我重点介绍了仍未对mtDNA进行采样的组,因此值得进一步研究,并建议除了DNA序列外,还要花费更多的精力来表征线粒体基因组的各个方面,例如它们的染色体和转录结构。最终,在写线粒体基因组论文之前,应该先谨记。考虑将序列直接发送给GenBank,并确保在提交之前正确注释。

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