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用具有成本效益的 NGS 条码对富含无脊椎动物样本进行分类:验证标本处理的反向工作流程。

Sorting specimen-rich invertebrate samples with cost-effective NGS barcodes: Validating a reverse workflow for specimen processing.

机构信息

Lee Kong Chian Natural History Museum, Faculty of Science, National University of Singapore, Singapore.

Evolutionary Biology Laboratory, Department of Biological Sciences, National University of Singapore, Singapore.

出版信息

Mol Ecol Resour. 2018 May;18(3):490-501. doi: 10.1111/1755-0998.12751. Epub 2018 Feb 2.

Abstract

Biologists frequently sort specimen-rich samples to species. This process is daunting when based on morphology, and disadvantageous if performed using molecular methods that destroy vouchers (e.g., metabarcoding). An alternative is barcoding every specimen in a bulk sample and then presorting the specimens using DNA barcodes, thus mitigating downstream morphological work on presorted units. Such a "reverse workflow" is too expensive using Sanger sequencing, but we here demonstrate that is feasible with an next-generation sequencing (NGS) barcoding pipeline that allows for cost-effective high-throughput generation of short specimen-specific barcodes (313 bp of COI; laboratory cost <$0.50 per specimen) through next-generation sequencing of tagged amplicons. We applied our approach to a large sample of tropical ants, obtaining barcodes for 3,290 of 4,032 specimens (82%). NGS barcodes and their corresponding specimens were then sorted into molecular operational taxonomic units (mOTUs) based on objective clustering and Automated Barcode Gap Discovery (ABGD). High diversity of 88-90 mOTUs (4% clustering) was found and morphologically validated based on preserved vouchers. The mOTUs were overwhelmingly in agreement with morphospecies (match ratio 0.95 at 4% clustering). Because of lack of coverage in existing barcode databases, only 18 could be accurately identified to named species, but our study yielded new barcodes for 48 species, including 28 that are potentially new to science. With its low cost and technical simplicity, the NGS barcoding pipeline can be implemented by a large range of laboratories. It accelerates invertebrate species discovery, facilitates downstream taxonomic work, helps with building comprehensive barcode databases and yields precise abundance information.

摘要

生物学家经常根据形态特征对富含标本的样本进行分类。如果基于分子方法进行分类,而这种方法会破坏凭证(例如,代谢条形码),那么这个过程就会令人望而却步。另一种方法是对批量样本中的每个标本进行条形码标记,然后使用 DNA 条形码对标本进行预分类,从而减轻下游对预分类单位的形态学工作。使用 Sanger 测序的“反向工作流程”太昂贵,但我们在这里证明,通过下一代测序(NGS)条形码管道是可行的,该管道允许通过标记扩增子的高通量生成具有成本效益的短标本特异性条形码(313 bp 的 COI;每个标本的实验室成本 <$0.50)。我们将我们的方法应用于大量热带蚂蚁样本,获得了 4032 个标本中的 3290 个标本的条形码(82%)。然后,通过目标聚类和自动条形码间隙发现(ABGD),将 NGS 条形码及其对应的标本按分子操作分类单元(mOTU)进行分类。发现了 88-90 mOTU 的高度多样性(4%聚类),并根据保存的凭证进行了形态验证。mOTU 与形态种高度一致(4%聚类时匹配率为 0.95)。由于现有条形码数据库的覆盖范围有限,只有 18 个可以准确鉴定为命名种,但我们的研究为 48 个物种生成了新的条形码,其中包括 28 个可能是新的科学发现。由于其低成本和技术简单性,NGS 条形码管道可以由广泛的实验室实施。它加速了无脊椎动物物种的发现,有助于下游分类学工作,有助于建立全面的条形码数据库,并提供精确的丰度信息。

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