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通过 DNA metabarcoding 挖掘土壤节肢动物多样性。

Unearthing soil arthropod diversity through DNA metabarcoding.

机构信息

Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.

Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada.

出版信息

PeerJ. 2022 Feb 1;10:e12845. doi: 10.7717/peerj.12845. eCollection 2022.

Abstract

DNA metabarcoding has the potential to greatly advance understanding of soil biodiversity, but this approach has seen limited application for the most abundant and species-rich group of soil fauna-the arthropods. This study begins to address this gap by comparing information on species composition recovered from metabarcoding two types of bulk samples (specimens, soil) from a temperate zone site and from bulk soil samples collected at eight sites in the Arctic. Analysis of 22 samples (3 specimen, 19 soil) revealed 410 arthropod OTUs belonging to 112 families, 25 orders, and nine classes. Studies at the temperate zone site revealed little overlap in species composition between soil and specimen samples, but more overlap at higher taxonomic levels (families, orders) and congruent patterns of - and -diversity. Expansion of soil analyses to the Arctic revealed locally rich, highly dissimilar, and spatially structured assemblages compatible with dispersal limited and environmentally driven assembly. The current study demonstrates that DNA metabarcoding of bulk soil enables rapid, large-scale assessments of soil arthropod diversity. However, deep sequence coverage is required to adequately capture the species present in these samples, and expansion of the DNA barcode reference library is necessary to improve taxonomic resolution of the sequences recovered through this approach.

摘要

DNA 代谢组学有可能极大地促进对土壤生物多样性的理解,但这种方法在最丰富和物种最丰富的土壤动物群——节肢动物方面的应用有限。本研究通过比较温带地区两种批量样本(标本、土壤)和北极八个地点采集的批量土壤样本的代谢组学中物种组成的信息,开始解决这一差距。对 22 个样本(3 个标本,19 个土壤)的分析揭示了 410 个节肢动物 OTUs,属于 112 个科、25 个目和 9 个纲。温带地区的研究表明,土壤和标本样本之间的物种组成几乎没有重叠,但在更高的分类水平(科、目)上重叠更多,并且具有相似的 - 和 - 多样性模式。对北极土壤的分析扩展表明,局部丰富、高度不同且空间结构的组合与受扩散限制和环境驱动的组合相兼容。本研究表明,对土壤的 DNA 代谢组学分析能够快速、大规模地评估土壤节肢动物多样性。然而,需要进行深度测序覆盖才能充分捕获这些样本中的物种,并且需要扩展 DNA 条形码参考文库以提高通过这种方法回收的序列的分类分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7e1/8815377/546b956d4934/peerj-10-12845-g001.jpg

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