eDNA metabarcoding in lakes to quantify influences of landscape features and human activity on aquatic invasive species prevalence and fish community diversity

Aim: Our goal was to use eDNA metabarcoding to characterize fish community diversity, detect aquatic invasive species (AIS), and assess how measures of community (or AIS) diversity are influenced by lake physical and environmental covariates, measures of hydrological connectivity, and human accessibility.
Location: Michigan, USA.
Methods: eDNA samples collected from 22 lakes were sequenced using two mitochondrial gene regions (12S and 16S rRNA). Metabarcoding data were compared to traditional fisheries survey data for a subset of lakes, and data from all 22 lakes were combined with environmental information to identify significant associations with community diversity and AIS relative abundance.
Results: Occupancy modeling indicated that detection probabilities were generally higher with eDNA than traditional fisheries gear. Measures of connectivity with upstream aquatic habitats were positively associated with both AIS relative abundance and fish species diversity. We also demonstra...

目标：本研究旨在利用环境DNA宏条形码（eDNA metabarcoding）表征鱼类群落多样性、检测水生入侵物种（AIS），并评估群落（或AIS）多样性指标如何受湖泊物理与环境协变量、水文连通性指标及人类可达性的影响。
地点：美国密歇根州。
方法：对22个湖泊采集的环境DNA样本，使用两个线粒体基因区域（12S和16S rRNA）进行测序。将部分湖泊的宏条形码数据与传统渔业调查数据进行比较，并将所有22个湖泊的数据与环境信息结合，以识别与群落多样性及AIS相对丰度的显著关联。
结果：占据模型（Occupancy modeling）显示，环境DNA的检测概率普遍高于传统渔业工具。与上游水生栖息地的连通性指标与AIS相对丰度及鱼类物种多样性均呈正相关。我们还证明了……