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Ku JE, Choi SG. Population Structure of Finless Porpoise (Neophocaena phocaenoides) Discovered off Coastal Waters, Republic of Korea. Genes (Basel) 2022; 13:genes13101701. [PMID: 36292586 PMCID: PMC9602366 DOI: 10.3390/genes13101701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/08/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
The finless porpoise (Neophocaena phocaenoides Cuvier, 1829) is distributed in the coastal waters of Asia, throughout Indonesia to the east, and as far north as the Taiwan Strait. The finless porpoise has been declared critically endangered by the WWF (World Wide Fund for Nature), and in 2017 was rated vulnerable on the IUCN Red Threatened Species List. Since this species is distributed near the coast and has many interactions with humans, effective conservation of the species requires further studies into their genetic diversity and population. In this study, 45 samples were obtained from bycatch or stranded individuals in the East, South, and West Seas, where Korean porpoises were mainly distributed from 2017–2021. We compared 473 bp mtDNA sequences from the control region. Pairwise fixation indices (FST) revealed that the two populations differed significantly (FST = 0.4557, p = 0.000). In contrast to high levels of genetic differentiation, gene flow was identified as medium levels (Nm of 0.04–0.71). Our data suggest that finless porpoises may have undergone a historic differentiation event, and that finless porpoises in the three regions could be divided into two populations: West and East/South.
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Vu NTT, Zenger KR, Silva CNS, Guppy JL, Jerry DR. Population Structure, Genetic Connectivity, and Signatures of Local Adaptation of the Giant Black Tiger Shrimp (Penaeus monodon) throughout the Indo-Pacific Region. Genome Biol Evol 2021; 13:evab214. [PMID: 34529049 PMCID: PMC8495139 DOI: 10.1093/gbe/evab214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2021] [Indexed: 12/04/2022] Open
Abstract
The giant black tiger shrimp (Penaeus monodon) is native to the Indo-Pacific and is the second most farmed penaeid shrimp species globally. Understanding genetic structure, connectivity, and local adaptation among Indo-Pacific black tiger shrimp populations is important for informing sustainable fisheries management and aquaculture breeding programs. Population genetic and outlier detection analyses were undertaken using 10,593 genome-wide single nucleotide polymorphisms (SNPs) from 16 geographically disparate Indo-Pacific P. monodon populations. Levels of genetic diversity were highest for Southeast Asian populations and were lowest for Western Indian Ocean (WIO) populations. Both neutral (n = 9,930) and outlier (n = 663) loci datasets revealed a pattern of strong genetic structure of P. monodon corresponding with broad geographical regions and clear genetic breaks among samples within regions. Neutral loci revealed seven genetic clusters and the separation of Fiji and WIO clusters from all other clusters, whereas outlier loci revealed six genetic clusters and high genetic differentiation among populations. The neutral loci dataset estimated five migration events that indicated migration to Southeast Asia from the WIO, with partial connectivity to populations in both oceans. We also identified 26 putatively adaptive SNPs that exhibited significant Pearson correlation (P < 0.05) between minor allele frequency and maximum or minimum sea surface temperature. Matched transcriptome contig annotations suggest putatively adaptive SNPs involvement in cellular and metabolic processes, pigmentation, immune response, and currently unknown functions. This study provides novel genome-level insights that have direct implications for P. monodon aquaculture and fishery management practices.
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Affiliation(s)
- Nga T T Vu
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Kyall R Zenger
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Catarina N S Silva
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Jarrod L Guppy
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
| | - Dean R Jerry
- Australian Research Council Industrial Transformation Research Hub for Advanced Prawn Breeding, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Centre for Sustainable Tropical Fisheries and Aquaculture, College of Science and Engineering, James Cook University, Townsville, Queensland, Australia
- Tropical Futures Institute, James Cook University, Singapore
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Vaux F, Bohn S, Hyde JR, O'Malley KG. Adaptive markers distinguish North and South Pacific Albacore amid low population differentiation. Evol Appl 2021; 14:1343-1364. [PMID: 34025772 PMCID: PMC8127716 DOI: 10.1111/eva.13202] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 01/29/2021] [Accepted: 02/01/2021] [Indexed: 12/19/2022] Open
Abstract
Albacore (Thunnus alalunga) support an economically valuable global fishery, but surprisingly little is known about the population structure of this highly migratory species. Physical tagging data suggest that Albacore from the North and South Pacific Ocean are separate stocks, but results from previous genetic studies did not support this two stock hypothesis. In addition, observed biological differences among juveniles suggest that there may be population substructure in the North Pacific. We used double-digest restriction site-associated DNA sequencing to assess population structure among 308 Albacore caught in 12 sample areas across the Pacific Ocean (10 North, 2 South). Since Albacore are highly migratory and spawning areas are unknown, sample groups were not assumed to be equivalent to populations and the genetic data were analyzed iteratively. We tested for putatively adaptive differences among groups and for genetic variation associated with sex. Results indicated that Albacore in the North and South Pacific can be distinguished using 84 putatively adaptive loci, but not using the remaining 12,788 presumed neutral sites. However, two individuals likely represent F1 hybrids between the North and South Pacific populations, and 43 Albacore potentially exhibit lower degrees of mixed ancestry. In addition, four or five cross-hemisphere migrants were potentially identified. No genetic evidence was found for population substructure within the North Pacific, and no loci appeared to distinguish males from females. Potential functions for the putatively adaptive loci were identified, but an annotated Albacore genome is required for further exploration. Future research should try to locate spawning areas so that life history, demography, and genetic population structure can be linked and spatiotemporal patterns can be investigated.
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Affiliation(s)
- Felix Vaux
- State Fisheries Genomics LabCoastal Oregon Marine Experiment StationDepartment of Fisheries and WildlifeHatfield Marine Science CenterOregon State UniversityNewportORUSA
- Department of ZoologyUniversity of OtagoDunedinNew Zealand
| | - Sandra Bohn
- State Fisheries Genomics LabCoastal Oregon Marine Experiment StationDepartment of Fisheries and WildlifeHatfield Marine Science CenterOregon State UniversityNewportORUSA
| | - John R. Hyde
- Southwest Fisheries Science CenterNational Marine Fisheries ServiceLa JollaCAUSA
| | - Kathleen G. O'Malley
- State Fisheries Genomics LabCoastal Oregon Marine Experiment StationDepartment of Fisheries and WildlifeHatfield Marine Science CenterOregon State UniversityNewportORUSA
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