Affiliation:
1. Laboratory of Deep sea Research A.V. Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences Vladivostok Russia
2. Chair of Cell Biology and Genetics Far Eastern Federal University Vladivostok Russia
3. Laboratory of Molecular Systematics A.V. Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences Vladivostok Russia
4. Laboratory of Ecology and Evolutionary Biology of Aquatic Organisms Far Eastern Federal University Vladivostok Russia
Abstract
AbstractIntraspecific genetic variation is important for the assessment of organisms' resistance to changing environments and anthropogenic pressures. Aquatic DNA metabarcoding provides a non‐invasive method in biodiversity research, including investigations at the within‐species level. Through the analysis of eDNA samples collected from the Peter the Great Gulf of the Japan Sea, in this study, we aimed to evaluate the identification of Amplicon Sequence Variants (ASVs) in marine eDNA among abundant species of the Zostera sp. community: Hexagrammos octogrammus, Pholidapus dybowskii (Teleostei: Perciformes), and Pandalus latirostris (Arthropoda: Decapoda). These species were collected from two distant locations to produce mock communities and gather aquatic eDNA both on the community and individual level. Our approach highlights the efficacy of eDNA metabarcoding in capturing haplotypic diversity and the potential for this methodology to track genetic diversity accurately, contributing to conservation efforts and ecosystem management. Additionally, our results elucidate the impact of nuclear mitochondrial DNA segments (NUMTs) on the reliability of metabarcoding data, indicating the necessity for cautious interpretation of such data in ecological studies. Moreover, we analyzed 83 publicly available COI sequence datasets from common groups of multicellular organisms (Mollusca, Echinodermata, Crustacea, Polychaeta, and Actinopterygii). The results reflect the decrease in population diversity that arises from using the metabarcode compared to the COI barcode.
Funder
Ministry of Science and Higher Education of the Russian Federation