Unlocking biodiversity and conservation studies in high‐diversity environments using environmental DNA (eDNA): A test with Guianese freshwater fishes

环境DNA 生物多样性 生物 生态学 淡水鱼 采样(信号处理) 全球生物多样性 分类等级 渔业 分类单元 计算机视觉 计算机科学 滤波器(信号处理)
作者
Kévin Cilleros,Alice Valentini,Luc Allard,Tony Déjean,Rampal S. Etienne,Gaël Grenouillet,Amaia Iribar,Pierre Taberlet,Régis Vigouroux,Sébastien Brosse
出处
期刊:Molecular Ecology Resources [Wiley]
卷期号:19 (1): 27-46 被引量:119
标识
DOI:10.1111/1755-0998.12900
摘要

Abstract Determining the species compositions of local assemblages is a prerequisite to understanding how anthropogenic disturbances affect biodiversity. However, biodiversity measurements often remain incomplete due to the limited efficiency of sampling methods. This is particularly true in freshwater tropical environments that host rich fish assemblages, for which assessments are uncertain and often rely on destructive methods. Developing an efficient and nondestructive method to assess biodiversity in tropical freshwaters is highly important. In this study, we tested the efficiency of environmental DNA (eDNA) metabarcoding to assess the fish diversity of 39 Guianese sites. We compared the diversity and composition of assemblages obtained using traditional and metabarcoding methods. More than 7,000 individual fish belonging to 203 Guianese fish species were collected by traditional sampling methods, and ~17 million reads were produced by metabarcoding, among which ~8 million reads were assigned to 148 fish taxonomic units, including 132 fish species. The two methods detected a similar number of species at each site, but the species identities partially matched. The assemblage compositions from the different drainage basins were better discriminated using metabarcoding, revealing that while traditional methods provide a more complete but spatially limited inventory of fish assemblages, metabarcoding provides a more partial but spatially extensive inventory. eDNA metabarcoding can therefore be used for rapid and large‐scale biodiversity assessments, while at a local scale, the two approaches are complementary and enable an understanding of realistic fish biodiversity.

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