Quantitative monitoring of diverse fish communities on a large scale combining <scp>eDNA</scp> metabarcoding and <scp>qPCR</scp>

生物 电捕鱼 丰度(生态学) 物种丰富度 鱼 生物量(生态学) 相对物种丰度 比例(比率) 采样(信号处理) 环境DNA 生态学 生物监测 计算生物学 渔业 生物多样性 滤波器(信号处理) 计算机科学 计算机视觉
作者
Didier Pont,Paul Meulenbroek,Vincenz Bammer,Tony Dejean,Tibor Erős,Pauline Jean,Mirjana Lenhardt,Christoffer Nagel,Ladislav Pekarik,Michael Schabuss,Bernhard C. Stoeckle,E. Stoica,Horst Zornig,Alexander Weigand,Alice Valentini
出处
期刊:Molecular Ecology Resources [Wiley]
卷期号:23 (2): 396-409 被引量:1
标识
DOI:10.1111/1755-0998.13715
摘要

Environmental DNA (eDNA) metabarcoding is an effective method for studying fish communities but allows only an estimation of relative species abundance (density/biomass). Here, we combine metabarcoding with an estimation of the total abundance of eDNA amplified by our universal marker (teleo) using a quantitative (q)PCR approach to infer the absolute abundance of fish species. We carried out a 2850-km eDNA survey within the Danube catchment using a spatial integrative sampling protocol coupled with traditional electrofishing for fish biomass and density estimation. Total fish eDNA concentrations and total fish abundance were highly correlated. The correlation between eDNA concentrations per taxon and absolute specific abundance was of comparable strength when all sites were pooled and remained significant when the sites were considered separately. Furthermore, a nonlinear mixed model showed that species richness was underestimated when the amount of teleo-DNA extracted from a sample was below a threshold of 0.65 × 106 copies of eDNA. This result, combined with the decrease in teleo-DNA concentration by several orders of magnitude with river size, highlights the need to increase sampling effort in large rivers. Our results provide a comprehensive description of longitudinal changes in fish communities and underline our combined metabarcoding/qPCR approach for biomonitoring and bioassessment surveys when a rough estimate of absolute species abundance is sufficient.

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