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

DNA metabarcoding was utilized for a large-scale, multi-year 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 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% matc...

本研究采用DNA宏条形码（DNA metabarcoding）技术，对德国巴伐利亚州巴伐利亚森林国家公园的马氏诱捕器（Malaise trap）采集样本开展了大规模、跨年度的生物多样性评估。
基于读长计数的生物多样性数据开展的主成分分析（Principal Component Analysis）显示，样本聚类模式与采集点是否处于国家公园内外完全一致。
两个调查年度（2016年与2018年）各采集点的BIN（Barcode Index Number）存在情况对应的雅卡尔距离矩阵（Jaccard distance matrix）呈现显著相关性。
两个调查年度均观测到研究区域内全部节肢动物BIN以及隶属于4个主要节肢动物目的BIN的存在模式整体相似，且该结果与此前一项基于桑格测序（Sanger sequencing）标本DNA条形码的研究结果具有可比性。
研究团队从公开数据中构建了自定义参考序列库，用于从样本或保存样本的防腐乙醇中筛选有害节肢动物或入侵节肢动物。

本次检测中1条序列的匹配度达98.6%……