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An integrated approach to fast and informative morphological vouchering of nematodes for applications in molecular barcoding

机译:一种用于线虫的快速,信息丰富的线虫形态凭证的综合方法

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Molecular surveys of meiofaunal diversity face some interesting methodological challenges when it comes to interstitial nematodes from soils and sediments. Morphology-based surveys are greatly limited in processing speed, while barcoding approaches for nematodes are hampered by difficulties of matching sequence data with traditional taxonomy. Intermediate technology is needed to bridge the gap between both approaches. An example of such technology is video capture and editing microscopy, which consists of the recording of taxonomically informative multifocal series of microscopy images as digital video clips. The integration of multifocal imaging with sequence analysis of the D2D3 region of large subunit (LSU) rDNA is illustrated here in the context of a combined morphological and barcode sequencing survey of marine nematodes from Baja California and California. The resulting video clips and sequence data are made available online in the database NemATOL (http:/ematol.unh.edu/). Analyses of 37 barcoded nematodes suggest that these represent at least 32 species, none of which matches available D2D3 sequences in public databases. The recorded multifocal vouchers allowed us to identify most specimens to genus, and will be used to match specimens with subsequent species identifications and descriptions of preserved specimens. Like molecular barcodes, multifocal voucher archives are part of a wider effort at structuring and changing the process of biodiversity discovery. We argue that data-rich surveys and phylogenetic tools for analysis of barcode sequences are an essential component of the exploration of phyla with a high fraction of undiscovered species. Our methods are also directly applicable to other meiofauna such as for example gastrotrichs and tardigrades.
机译:当涉及土壤和沉积物的间质线虫时,对动代植物多样性的分子调查面临着一些有趣的方法学挑战。基于形态的调查在处理速度上受到极大的限制,而线虫的条形码编码方法由于难以将序列数据与传统分类法进行匹配而受到阻碍。需要中间技术来弥合这两种方法之间的差距。这种技术的一个例子是视频捕获和编辑显微镜,它包括将分类学上有用的多焦点显微镜图像系列记录为数字视频剪辑。在结合来自加利福尼亚州下加利福尼亚州和加利福尼亚州的海洋线虫的形态学和条形码测序调查的背景下,说明了多焦点成像与大亚基(LSU)rDNA D2D3区序列分析的集成。生成的视频片段和序列数据可在数据库NemATOL(http:/ematol.unh.edu/)中在线获得。对37条带条形码的线虫的分析表明,这些线虫至少代表32种,没有一种与公共数据库中可用的D2D3序列匹配。记录的多焦点凭证使我们能够识别大多数属的标本,并将其与随后的物种鉴定和保存标本的描述相匹配。像分子条形码一样,多焦点凭证档案库是构建和更改生物多样性发现过程的更广泛努力的一部分。我们认为,用于分析条形码序列的丰富数据调查和系统发育工具是探索具有大量未发现物种的门的必不可少的组成部分。我们的方法也直接适用于其他鱼类,例如胃食性动物和缓步动物。

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