Quantification of mesocosm fish and amphibian species diversity via environmental DNA metabarcoding.

Quantification of mesocosm fish and amphibian species diversity via environmental DNA metabarcoding.
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DOI:
10.1111/1755-0998.12433
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发表时间:
2016-01
影响因子:
7.7
通讯作者:
Lodge DM
Lodge DM
中科院分区:
生物学1区
文献类型:
--
作者:
Evans NT;Olds BP;Renshaw MA;Turner CR;Li Y;Jerde CL;Mahon AR;Pfrender ME;Lamberti GA;Lodge DM

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淡水动物对环境变化和干扰特别敏感。管理机构经常使用鱼类和两栖动物的生物多样性作为生态系统健康的指标,并作为确定管理战略的优先次序和评估管理战略的一种方式。传统的水生生物评估依赖于通过网、陷阱和电渔具捕获生物,通常对稀有物种的检测概率很低,并可能伤害受保护物种的个体。我们的目标是确定环境DNA(eDNA)采样和元条形码分析是否可以用来准确地衡量物种多样性的水生组合具有不同的结构。我们在复制的206-L围隔生态系统中操纵了8种鱼类和1种两栖动物的密度和相对丰度。从水样中过滤出环境DNA,并对六个线粒体基因片段进行Illumina测序,以测量每个围隔生态系统中的物种多样性。Metabarcoding在所有处理重复中检测到所有9个物种。此外,我们发现物种丰度和测序读段丰度之间存在适度但正相关的关系。我们的研究结果说明了潜在的eDNA采样和metabarcoding方法,以提高在自然环境中的水生物种多样性的量化和使用eDNA metabarcoding作为一个指数的大型底栖动物物种丰度的方向。
Freshwater fauna are particularly sensitive to environmental change and disturbance. Management agencies frequently use fish and amphibian biodiversity as indicators of ecosystem health and a way to prioritize and assess management strategies. Traditional aquatic bioassessment that relies on capture of organisms via nets, traps and electrofishing gear typically has low detection probabilities for rare species and can injure individuals of protected species. Our objective was to determine whether environmental DNA (eDNA) sampling and metabarcoding analysis can be used to accurately measure species diversity in aquatic assemblages with differing structures. We manipulated the density and relative abundance of eight fish and one amphibian species in replicated 206‐L mesocosms. Environmental DNA was filtered from water samples, and six mitochondrial gene fragments were Illumina‐sequenced to measure species diversity in each mesocosm. Metabarcoding detected all nine species in all treatment replicates. Additionally, we found a modest, but positive relationship between species abundance and sequencing read abundance. Our results illustrate the potential for eDNA sampling and metabarcoding approaches to improve quantification of aquatic species diversity in natural environments and point the way towards using eDNA metabarcoding as an index of macrofaunal species abundance.