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环境 DNA 有效地捕获了沿海鱼类群落的功能多样性。

Environmental DNA effectively captures functional diversity of coastal fish communities.

机构信息

Department of Earth and Marine Sciences (DiSTeM), University of Palermo, Palermo, Italy.

Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Rome, Italy.

出版信息

Mol Ecol. 2021 Jul;30(13):3127-3139. doi: 10.1111/mec.15661. Epub 2020 Oct 20.

Abstract

Robust assessments of taxonomic and functional diversity are essential components of research programmes aimed at understanding current biodiversity patterns and forecasting trajectories of ecological changes. Yet, evaluating marine biodiversity along its dimensions is challenging and dependent on the power and accuracy of the available data collection methods. Here we combine three traditional survey methodologies (underwater visual census strip transects [UVCt], baited underwater videos [BUV] and small-scale fishery catches [SSFc]), and one novel molecular technique (environmental DNA metabarcoding [eDNA]-12S rRNA and cytochrome oxidase subunit 1 [COI]) to investigate their efficiency and complementarity in assessing fish diversity. We analysed 1,716 multimethod replicates at a basin scale to measure the taxonomic and functional diversity of Mediterranean fish assemblages. Taxonomic identities were investigated at species, genus and family levels. Functional identities were assessed using combinations of morphological, behavioural and trophic traits. We show that: (a) SSFc provided the higher taxonomic diversity estimates followed by eDNA, and then UVCt and BUV; (b) eDNA was the only method able to gather the whole spectrum of considered functional traits, showing the most functionally diversified and least redundant fish assemblages; and (c) the effectiveness of eDNA in describing functional structure reflected its lack of selectivity towards any considered functional trait. Our findings suggest that the reach of eDNA analysis stretches beyond taxon detection efficiency and provides new insights into the potential of metabarcoding in ecological studies.

摘要

对分类和功能多样性进行稳健评估是旨在了解当前生物多样性模式并预测生态变化轨迹的研究计划的重要组成部分。然而,沿着其维度评估海洋生物多样性具有挑战性,并且取决于可用数据收集方法的功能和准确性。在这里,我们结合了三种传统的调查方法(水下视觉普查带[UVCt],诱饵水下视频[BUV]和小规模渔业捕捞[SSFc])和一种新的分子技术(环境 DNA metabarcoding [eDNA]-12S rRNA 和细胞色素氧化酶亚基 1 [COI]),以研究它们在评估鱼类多样性方面的效率和互补性。我们在流域范围内分析了 1716 个多方法重复样本,以测量地中海鱼类群落的分类和功能多样性。分类身份在种、属和科的水平上进行了研究。功能身份是使用形态学、行为和营养特征的组合进行评估的。我们表明:(a)SSFc 提供了更高的分类多样性估计,其次是 eDNA,然后是 UVCt 和 BUV;(b)eDNA 是唯一能够收集考虑到的所有功能特征的方法,显示出最具功能多样性和最少冗余的鱼类群落;(c)eDNA 在描述功能结构方面的有效性反映了它对任何考虑的功能特征没有选择性。我们的研究结果表明,eDNA 分析的范围超出了分类检测效率,并为 metabarcoding 在生态研究中的潜力提供了新的见解。

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