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加速淡水浮游动物DNA条形码参考文库组装的改进方案。

Improved protocols to accelerate the assembly of DNA barcode reference libraries for freshwater zooplankton.

作者信息

Elías-Gutiérrez Manuel, Valdez-Moreno Martha, Topan Janet, Young Monica R, Cohuo-Colli José Angel

机构信息

El Colegio de la Frontera Sur Chetumal Quintana Roo Mexico.

Centre for Biodiversity Genomics University of Guelph Guelph ON Canada.

出版信息

Ecol Evol. 2018 Feb 15;8(5):3002-3018. doi: 10.1002/ece3.3742. eCollection 2018 Mar.

Abstract

Currently, freshwater zooplankton sampling and identification methodologies have remained virtually unchanged since they were first established in the beginning of the XX century. One major contributing factor to this slow progress is the limited success of modern genetic methodologies, such as DNA barcoding, in several of the main groups. This study demonstrates improved protocols which enable the rapid assessment of most animal taxa inhabiting any freshwater system by combining the use of light traps, careful fixation at low temperatures using ethanol, and zooplankton-specific primers. We DNA-barcoded 2,136 specimens from a diverse array of taxonomic assemblages (rotifers, mollusks, mites, crustaceans, insects, and fishes) from several Canadian and Mexican lakes with an average sequence success rate of 85.3%. In total, 325 Barcode Index Numbers (BINs) were detected with only three BINs (two cladocerans and one copepod) shared between Canada and Mexico, suggesting a much narrower distribution range of freshwater zooplankton than previously thought. This study is the first to broadly explore the metazoan biodiversity of freshwater systems with DNA barcodes to construct a reference library that represents the first step for future programs which aim to monitor ecosystem health, track invasive species, or improve knowledge of the ecology and distribution of freshwater zooplankton.

摘要

目前,自20世纪初首次确立以来,淡水浮游动物的采样和鉴定方法几乎没有变化。造成这种缓慢进展的一个主要因素是现代遗传方法,如DNA条形码技术,在几个主要类群中的成功率有限。本研究展示了改进的方案,通过结合使用灯光诱捕器、在低温下用乙醇小心固定以及针对浮游动物的引物,能够快速评估栖息在任何淡水系统中的大多数动物类群。我们对来自加拿大和墨西哥多个湖泊的不同分类组合(轮虫、软体动物、螨类、甲壳类、昆虫和鱼类)的2136个标本进行了DNA条形码分析,平均序列成功率为85.3%。总共检测到325个条形码索引号(BINs),加拿大和墨西哥之间仅共享三个BINs(两个枝角类和一个桡足类),这表明淡水浮游动物的分布范围比以前认为的要窄得多。本研究首次广泛利用DNA条形码探索淡水系统的后生动物生物多样性,构建了一个参考文库,这是未来旨在监测生态系统健康、追踪入侵物种或增进对淡水浮游动物生态和分布了解的项目的第一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3572/5838060/799138472b79/ECE3-8-3002-g001.jpg

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