Insights into the representativeness of biodiversity assessment in large reservoir through eDNA metabarcoding.

ABSTRACT: Monitoring biodiversity on a large scale, such as in hydropower reservoirs, poses scientific challenges. Conventional methods such as passive fishing gear are prone to various biases, while the utilization of environmental DNA (eDNA) metabarcoding has been restricted. Most eDNA studies have primarily focused on replicating results from traditional methods, which themselves have limitations regarding representativeness and bias. In our study, we employed eDNA metabarcoding with three markers (12SrRNA, COI, and 16SrRNA) to evaluate the biodiversity of an 800 km2 reservoir. We utilized hydrodynamic modeling to determine water flow velocity and the water renewal ratio throughout the study area. Additionally, we conducted statistical comparisons-rarefaction curves and multivariate methods-among

SUBMITTER: Cortez T 

PROVIDER: S-EPMC11761093 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature