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利用 DNA 条码技术进行国家公园生物多样性监测:入侵种和害虫筛查。

DNA metabarcoding for biodiversity monitoring in a national park: Screening for invasive and pest species.

机构信息

SNSB-Zoologische Staatssammlung München, Munich, Germany.

Ludwig-Maximilians-Universität München, Munich, Germany.

出版信息

Mol Ecol Resour. 2020 Nov;20(6):1542-1557. doi: 10.1111/1755-0998.13212. Epub 2020 Jul 1.

Abstract

DNA metabarcoding was utilized for a large-scale, multiyear assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). Principal component analysis of read count-based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park. Jaccard distance matrices of the presences of barcode index numbers (BINs) at collection sites in the two survey years (2016 and 2018) were significantly correlated. Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger-sequenced specimens. A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol. A single 98.6% match to the invasive bark beetle Ips duplicatus was detected in an ethanol sample. This species has not previously been detected in the National Park.

摘要

DNA 代谢组学被用于大规模、多年度评估巴伐利亚森林国家公园(德国巴伐利亚州)粘虫诱捕器收集物中的生物多样性。基于读取计数的生物多样性主成分分析显示,聚类与收集点位于国家公园内还是外是一致的。在这两个调查年份(2016 年和 2018 年)的收集点上条形码索引编号(BIN)的存在的 Jaccard 距离矩阵显著相关。在这两个调查年份中,在整个研究区域内,总节肢动物 BIN 的存在以及属于四个主要节肢动物目 BIN 的存在模式总体上是相似的,与基于 Sanger 测序标本的 DNA 条形码的先前研究结果也是可比的。从公开数据中组装了一个自定义参考序列库,以筛选标本或防腐剂乙醇中的害虫或入侵节肢动物。在一个乙醇样本中检测到与入侵树皮甲虫 Ips duplicatus 有 98.6%的匹配。该物种以前在国家公园中没有被发现。

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