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Pilot study of a comprehensive resource estimation method from environmental DNA using universal D-loop amplification primers

Many studies have investigated the ability of environmental DNA (eDNA) to identify the species. However, when individual species are to be identified, accurate estimation of their abundance using traditional eDNA analyses is still difficult. We previously developed a novel analytical method called H...

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Detalles Bibliográficos
Autores principales: Yoshitake, Kazutoshi, Yanagisawa, Kyohei, Sugimoto, Yuma, Nakamura, Hiroshi, Mizusawa, Nanami, Miya, Masaki, Hamasaki, Koji, Kobayashi, Takanori, Watabe, Shugo, Nishikiori, Kazuomi, Asakawa, Shuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033627/
https://www.ncbi.nlm.nih.gov/pubmed/36947319
http://dx.doi.org/10.1007/s10142-023-01013-3
Descripción
Sumario:Many studies have investigated the ability of environmental DNA (eDNA) to identify the species. However, when individual species are to be identified, accurate estimation of their abundance using traditional eDNA analyses is still difficult. We previously developed a novel analytical method called HaCeD-Seq (haplotype count from eDNA by sequencing), which focuses on the mitochondrial D-loop sequence for eels and tuna. In this study, universal D-loop primers were designed to enable the comprehensive detection of multiple fish species by a single sequence. To sequence the full-length D-loop with high accuracy, we performed nanopore sequencing with unique molecular identifiers (UMI). In addition, to determine the D-loop reference sequence, whole genome sequencing was performed with thin coverage, and complete mitochondrial genomes were determined. We developed a UMI-based Nanopore D-loop sequencing analysis pipeline and released it as open-source software. We detected 5 out of 15 species (33%) and 10 haplotypes out of 35 individuals (29%) among the detected species. This study demonstrates the possibility of comprehensively obtaining information related to population size from eDNA. In the future, this method can be used to improve the accuracy of fish resource estimation, which is currently highly dependent on fishing catches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10142-023-01013-3.