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环境 DNA 检测两大大湖支流中的稀有入侵鱼类物种。

Environmental DNA detection of rare and invasive fish species in two Great Lakes tributaries.

机构信息

Department of Biology, Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada.

Great Lakes Laboratory for Fisheries and Aquatic Sciences, Fisheries and Oceans Canada, Burlington, ON, Canada.

出版信息

Mol Ecol. 2018 Jan;27(1):112-127. doi: 10.1111/mec.14395. Epub 2017 Nov 29.

Abstract

The extraction and characterization of DNA from aquatic environmental samples offers an alternative, noninvasive approach for the detection of rare species. Environmental DNA, coupled with PCR and next-generation sequencing ("metabarcoding"), has proven to be very sensitive for the detection of rare aquatic species. Our study used a custom-designed group-specific primer set and next-generation sequencing for the detection of three species at risk (Eastern Sand Darter, Ammocrypta pellucida; Northern Madtom, Noturus stigmosus; and Silver Shiner, Notropis photogenis), one invasive species (Round Goby, Neogobius melanostomus) and an additional 78 native species from two large Great Lakes tributary rivers in southern Ontario, Canada: the Grand River and the Sydenham River. Of 82 fish species detected in both rivers using capture-based and eDNA methods, our eDNA method detected 86.2% and 72.0% of the fish species in the Grand River and the Sydenham River, respectively, which included our four target species. Our analyses also identified significant positive and negative species co-occurrence patterns between our target species and other identified species. Our results demonstrate that eDNA metabarcoding that targets the fish community as well as individual species of interest provides a better understanding of factors affecting the target species spatial distribution in an ecosystem than possible with only target species data. Additionally, eDNA is easily implemented as an initial survey tool, or alongside capture-based methods, for improved mapping of species distribution patterns.

摘要

从水生环境样本中提取和表征 DNA 为检测稀有物种提供了一种替代的、非侵入性的方法。环境 DNA 与 PCR 和下一代测序(“宏条形码”)相结合,已被证明对稀有水生物种的检测非常敏感。我们的研究使用了定制的组特异性引物组和下一代测序来检测三种濒危物种(东方沙丘鲦鱼、透明银鱼;北方须鲶、斑点叉尾鮰;银色鲦鱼、蓝鳃太阳鱼)、一种入侵物种(圆鳍雅罗鱼)和来自加拿大安大略省南部两个大的大湖支流(格兰德河和塞德汉姆河)的另外 78 种本地物种。在两条河流中,使用基于捕获的和 eDNA 方法检测到 82 种鱼类,我们的 eDNA 方法分别检测到格兰德河和塞德汉姆河中 86.2%和 72.0%的鱼类物种,其中包括我们的四个目标物种。我们的分析还确定了我们的目标物种与其他鉴定物种之间存在显著的正相关和负相关物种共现模式。我们的结果表明,针对鱼类群落以及感兴趣的个别物种的 eDNA 宏条形码分析比仅使用目标物种数据更能深入了解影响目标物种在生态系统中空间分布的因素。此外,eDNA 很容易作为初始调查工具实施,或与基于捕获的方法一起使用,以改进物种分布模式的绘图。

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