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An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies

机译:高效,强大的实验室工作流程和四脚架数据库,可用于大规模环境DNA研究

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Background The use of environmental DNA for species detection via metabarcoding is growing rapidly. We present a co-designed lab workflow and bioinformatic pipeline to mitigate the 2 most important risks of environmental DNA use: sample contamination and taxonomic misassignment. These risks arise from the need for polymerase chain reaction (PCR) amplification to detect the trace amounts of DNA combined with the necessity of using short target regions due to DNA degradation. Findings Our high-throughput workflow minimizes these risks via a 4-step strategy: (i) technical replication with 2 PCR replicates and 2 extraction replicates; (ii) using multi-markers ( 12S,16S,CytB ); (iii) a “twin-tagging,” 2-step PCR protocol; and (iv) use of the probabilistic taxonomic assignment method PROTAX, which can account for incomplete reference databases. Because annotation errors in the reference sequences can result in taxonomic misassignment, we supply a protocol for curating sequence datasets. For some taxonomic groups and some markers, curation resulted in 50% of sequences being deleted from public reference databases, owing to (i) limited overlap between our target amplicon and reference sequences, (ii) mislabelling of reference sequences, and (iii) redundancy. Finally, we provide a bioinformatic pipeline to process amplicons and conduct PROTAX assignment and tested it on an invertebrate-derived DNA dataset from 1,532 leeches from Sabah, Malaysia. Twin-tagging allowed us to detect and exclude sequences with non-matching tags. The smallest DNA fragment ( 16S ) amplified most frequently for all samples but was less powerful for discriminating at species rank. Using a stringent and lax acceptance criterion we found 162 (stringent) and 190 (lax) vertebrate detections of 95 (stringent) and 109 (lax) leech samples. Conclusions Our metabarcoding workflow should help research groups increase the robustness of their results and therefore facilitate wider use of environmental and invertebrate-derived DNA, which is turning into a valuable source of ecological and conservation information on tetrapods.
机译:背景技术环境DNA用于通过元条形码进行物种检测的应用正在迅速增长。我们提出了一个共同设计的实验室工作流程和生物信息流水线,以减轻使用环境DNA的两个最重要的风险:样品污染和分类错误。这些风险来自需要聚合酶链反应(PCR)扩增以检测痕量DNA的需要,以及由于DNA降解而需要使用短靶区域的需要。研究结果我们的高通量工作流程通过4个步骤将这些风险降到最低:(i)具有2个PCR复制和2个提取重复的技术复制; (ii)使用多标记(12S,16S,CytB); (iii)“双标签”两步PCR方案; (iv)使用概率分类法分配方法PROTAX,该方法可以解释不完整的参考数据库。由于参考序列中的注释错误可能导致分类错误,因此我们提供了用于整理序列数据集的协议。对于某些分类组和某些标记,由于(i)我们的目标扩增子和参考序列之间的重叠部分有限,(ii)参考序列的标签错误,以及(iii),精心挑选导致从公共参考数据库中删除了超过50%的序列冗余。最后,我们提供了一条生物信息流水线来处理扩增子并进行PROTAX分配,并在来自马来西亚沙巴的1,532个水ches的无脊椎动物衍生DNA数据集上对其进行了测试。双标记使我们能够检测和排除具有不匹配标记的序列。最小的DNA片段(16S)在所有样品中扩增最频繁,但在区分物种等级时却不那么有效。使用严格和宽松的接受标准,我们发现了95个(严格)和109个(宽松)水ech样本的162次(严格)和190次(宽松)的脊椎动物检测。结论我们的元条形码工作流程应有助于研究小组提高其结果的可靠性,从而促进广泛使用环境和无脊椎动物衍生的DNA,这已成为四足动物的生态和保护信息的宝贵来源。

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