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DNA barcodes from century-old type specimens using next-generation sequencing

机译:使用下一代测序技术从百年历史的标本中提取DNA条形码

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摘要

Type specimens have high scientific importance because they provide the only certain connection between the application of a Linnean name and a physical specimen. Many other individuals may have been identified as a particular species, but their linkage to the taxon concept is inferential. Because type specimens are often more than a century old and have experienced conditions unfavourable for DNA preservation, success in sequence recovery has been uncertain. This study addresses this challenge by employing next-generation sequencing (NGS) to recover sequences for the barcode region of the cytochrome c oxidase 1 gene from small amounts of template DNA. DNA quality was first screened in more than 1800 century-old type specimens of Lepidoptera by attempting to recover 164-bp and 94-bp reads via Sanger sequencing. This analysis permitted the assignment of each specimen to one of three DNA quality categories - high (164-bp sequence), medium (94-bp sequence) or low (no sequence). Ten specimens from each category were subsequently analysed via a PCR-based NGS protocol requiring very little template DNA. It recovered sequence information from all specimens with average read lengths ranging from 458bp to 610bp for the three DNA categories. By sequencing ten specimens in each NGS run, costs were similar to Sanger analysis. Future increases in the number of specimens processed in each run promise substantial reductions in cost, making it possible to anticipate a future where barcode sequences are available from most type specimens.
机译:类型标本具有很高的科学重要性,因为它们提供了使用Linnean名称与物理标本之间的唯一确定联系。许多其他个体可能已被识别为特定物种,但它们与分类单元概念的联系是推论性的。由于类型标本通常已有一个多世纪的历史,并且经历了不利于DNA保存的条件,因此尚无法确定序列恢复的成功。这项研究通过采用下一代测序(NGS)从少量模板DNA中恢复细胞色素C氧化酶1基因条形码区域的序列来解决这一挑战。试图通过Sanger测序回收164 bp和94 bp的读数,首先在超过1800个世纪的鳞翅目标本中筛选了DNA质量。该分析允许将每个标本分配到三种DNA质量类别中的一种-高(164-bp序列),中(94-bp序列)或低(无序列)。随后通过基于PCR的NGS方案分析了来自每个类别的十个标本,只需要很少的模板DNA。它从所有样本中恢复了三个DNA类别的序列信息,平均读取长度在458bp至610bp之间。通过在每个NGS运行中对十个样本进行测序,成本与Sanger分析相似。每次运行中处理的样本数量的未来增加有望显着降低成本,从而有可能预见到大多数类型样本都可以使用条形码序列的未来。

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