Estimation of biodiversity metrics by environmental DNA metabarcoding compared with visual and capture surveys of river fish communities
Estimation of biodiversity metrics by environmental DNA metabarcoding compared with visual and capture surveys of river fish communities
复制标题
通过环境DNA元编码与河鱼群落目测和捕获调查相比较来估计生物多样性指标
DOI：
10.1111/fwb.13714
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发表时间：
2021-04-13
影响因子：
2.7
通讯作者：
Kono, Takanori
中科院分区：
文献类型：
--
作者：
Doi, Hideyuki;Inui, Ryutei;Kono, Takanori
有关 α（本地）、β（栖息地之间）和 γ（区域）多样性的信息对于了解生物多样性以及群落动态的功能和稳定性至关重要。目前，环境 DNA (eDNA) 元条形码等方法被认为可用于调查生物多样性。我们将 eDNA 元条形码的性能与视觉和捕获调查进行比较，以估计河流鱼类群落的 α 和 γ 多样性，特别是筑巢和周转。在日本西部的 5 条河流中，与视觉/捕获调查相比，eDNA 元条形码在研究地点检测到了更多物种（即 阿尔法多样性）。因此，该地区的物种总数（即伽马多样性）更高。特别是，通过目视/捕获调查发现的物种包含在通过 eDNA 元条形码检测到的物种中。不同调查方法对河流内群落多样性的估计有所不同。尽管我们发现这些方法显示河流内群落嵌套和周转水平相似，但视觉/捕获调查显示从上游到下游更明显的群落差异。我们的结果表明，eDNA 元条形码可能是一种适合群落组合分析的方法，特别是对于了解区域群落模式、河流鱼类监测。
Information on alpha- (local), beta- (between habitats), and gamma- (regional) diversity is fundamental to understanding biodiversity as well as the function and stability of community dynamics. Methods like environmental DNA (eDNA) metabarcoding are currently considered useful to investigate biodiversity.We compared the performance of eDNA metabarcoding with visual and capture surveys for estimating alpha- and gamma-diversity of river fish communities, and nestedness and turnover in particular.In five rivers across west Japan, by comparison to visual/capture surveys, eDNA metabarcoding detected more species in the study sites (i.e. alpha-diversity). Consequently, the overall number of species in the region (i.e. gamma-diversity) was higher. In particular, the species found by visual/capture surveys were encompassed by those detected by eDNA metabarcoding.Estimates of community diversity within rivers differed between survey methods. Although we found that the methods show similar levels of community nestedness and turnover within the rivers, visual/capture surveys showed more distinct community differences from upstream to downstream. Our results suggest that eDNA metabarcoding may be a suitable method for community assemblage analysis, especially for understanding regional community patterns, for fish monitoring in rivers.