Accurate knowledge of spatial population structure is crucial for species conservation and management, but low genetic diversity of endangered species makes it di cult to ascertain this information. In the Japanese lates or akame, Lates japonicus, an endangered sh known to have extremely low genetic diversity among vertebrates, mtDNA and AFLP marker analyses failed to clearly partition individuals into the two main distribution areas (Kochi and Miyazaki prefectures), although a weak but signi cant genetic difference between these regions was detected. Here, we conducted individual-based clustering analysis and sibship reconstruction to evaluate the species' population genetic structure by using 282 yearlings collected from four sites in Kochi and Miyazaki prefectures. We used single nucleotide polymorphism (SNP) markers from double-digest restriction-site-associated DNA sequencing (ddRAD-seq). Although our data revealed extremely low genome-wide nucleotide diversity (π = 0.00006) in akame, the clustering analysis showed a clear genetic difference between the two regions, with a small number of migrants and individuals with admixed ancestry. Sibship analysis estimated that the only full-sib pairs of individuals were from the same prefecture and no pairs were from different prefectures. From these results, we conclude that the akame population of Kochi and Miyazaki prefectures are different management units, and for revealing detailed population genetic structure of endangered species which has low genetic diversity, it is effective to conduct individual-based analysis and sibship reconstruction by using juvenile samples and many SNPs from ddRAD-seq.
Accurate knowledge of spatial population structure is crucial for species conservation and management, but low genetic diversity of endangered species makes it difficult to ascertain this information. In the Japanese lates or akame, Lates japonicus, an endangered fish known to have extremely low genetic diversity among vertebrates, mtDNA and AFLP marker analyses failed to clearly partition individuals into the two main distribution areas (Kochi and Miyazaki prefectures), although a weak but significant genetic difference between these regions was detected. Here, we conducted individual-based clustering analysis and sibship reconstruction to evaluate the species’ population genetic structure by using 282 yearlings collected from four sites in Kochi and Miyazaki prefectures. We used single nucleotide polymorphism (SNP) markers from double-digest restriction-site-associated DNA sequencing (ddRAD-seq). Although our data revealed extremely low genome-wide nucleotide diversity (π = 0.00006) in akame, the clustering analysis showed a clear genetic difference between the two regions, with a small number of migrants and individuals with admixed ancestry. Sibship analysis estimated that the only full-sib pairs of individuals were from the same prefecture and no pairs were from different prefectures. From these results, we conclude that the akame population of Kochi and Miyazaki prefectures are different management units, and for revealing detailed population genetic structure of endangered species which has low genetic diversity, it is effective to conduct individual-based analysis and sibship reconstruction by using juvenile samples and many SNPs from ddRAD-seq.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.