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

条形码 生物 DNA条形码 放大器 工作流程 管道(软件) 溯祖理论 计算生物学 DNA测序 进化生物学 计算机科学 系统发育树 数据库 遗传学 聚合酶链反应 DNA 基因 操作系统 程序设计语言
作者
Wendy Y. Wang,Amrita Srivathsan,Maosheng Foo,Seiki Yamane,Rudolf Meier
出处
期刊:Molecular Ecology Resources [Wiley]
卷期号:18 (3): 490-501 被引量:113
标识
DOI:10.1111/1755-0998.12751
摘要

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 ( mOTU s) based on objective clustering and Automated Barcode Gap Discovery ( ABGD ). High diversity of 88–90 mOTU s (4% clustering) was found and morphologically validated based on preserved vouchers. The mOTU s 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.
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