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Wu SX, Zeng QF, Han WT, Wang MY, Ding H, Teng MX, Wang MY, Li PY, Gao X, Bao ZM, Wang B, Hu JJ. Deciphering the population structure and genetic basis of growth traits from whole-genome resequencing of the leopard coral grouper ( Plectropomus leopardus). Zool Res 2024; 45:329-340. [PMID: 38485503 PMCID: PMC11017084 DOI: 10.24272/j.issn.2095-8137.2023.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 10/10/2023] [Indexed: 03/19/2024] Open
Abstract
The leopard coral grouper ( Plectropomus leopardus) is a species of significant economic importance. Although artificial cultivation of P. leopardus has thrived in recent decades, the advancement of selective breeding has been hindered by the lack of comprehensive population genomic data. In this study, we identified over 8.73 million single nucleotide polymorphisms (SNPs) through whole-genome resequencing of 326 individuals spanning six distinct groups. Furthermore, we categorized 226 individuals with high-coverage sequencing depth (≥14×) into eight clusters based on their genetic profiles and phylogenetic relationships. Notably, four of these clusters exhibited pronounced genetic differentiation compared with the other populations. To identify potentially advantageous loci for P. leopardus, we examined genomic regions exhibiting selective sweeps by analyzing the nucleotide diversity ( θπ) and fixation index ( F ST) in these four clusters. Using these high-coverage resequencing data, we successfully constructed the first haplotype reference panel specific to P. leopardus. This achievement holds promise for enabling high-quality, cost-effective imputation methods. Additionally, we combined low-coverage sequencing data with imputation techniques for a genome-wide association study, aiming to identify candidate SNP loci and genes associated with growth traits. A significant concentration of these genes was observed on chromosome 17, which is primarily involved in skeletal muscle and embryonic development and cell proliferation. Notably, our detailed investigation of growth-related SNPs across the eight clusters revealed that cluster 5 harbored the most promising candidate SNPs, showing potential for genetic selective breeding efforts. These findings provide a robust toolkit and valuable insights into the management of germplasm resources and genome-driven breeding initiatives targeting P. leopardus.
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Affiliation(s)
- Shao-Xuan Wu
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Qi-Fan Zeng
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
| | - Wen-Tao Han
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Meng-Ya Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Hui Ding
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Ming-Xuan Teng
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Ming-Yi Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Pei-Yu Li
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Xin Gao
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Zhen-Min Bao
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
- Southern Marine Science and Engineer Guangdong Laboratory, Guangzhou, Guangdong 511458, China
| | - Bo Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China. E-mail:
| | - Jing-Jie Hu
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
- Southern Marine Science and Engineer Guangdong Laboratory, Guangzhou, Guangdong 511458, China. E-mail:
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Genetic and Phenotypic Characteristics of the Salmo trutta Complex in Italy. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12073219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Salmonid fish have become ecological and research models of study in the field of conservation genetics and genomics. Over the last decade, brown trout have received a high level of interest in research and publications. The term Salmo trutta complex is used to indicate the large number of geographic forms present in the species Salmo trutta. In Europe, the S. trutta complex consists (based on mitochondrial DNA control region analysis) of seven major evolutionary lineages: Atlantic (AT), Mediterranean (ME), Adriatic (AD), Danubian (DA), Marmoratus (MA), Duero (DU) and Tigris (TI). In several nations, the difficulty of identifying some lineages derives from their wide phenotypic and geographic plasticity and the presence of mixed lineages (due to introgressive hybridization with domestic AT populations). In Italy, the S. trutta complex populations living in the Tyrrhenian area and on the main islands (Sicily, Sardinia and Corsica) showed high genetic diversity. Currently, on the Italian Red List, the protected (near threatened) populations are the AD and ME lineages. Recent studies based on traditional (mitochondrial and nuclear markers) and NGS (next-generation sequencing) analyses have clarified some genetic differences between the populations of the Tyrrhenian region, Sicily, Sardinia and Corsica. Native populations in Sardinia belong to the AD lineage, while those living in Corsica are mainly characterized by the AD, MA and ME haplotypes. In Sicily, in the area of the Iblei mountains, an AT lineage (North African) exists. According to some authors, the term Salmo macrostigma should only be used for populations in North Africa. The use of genotyping methods based on mtDNA and nuclear markers and the latest generation sequencing techniques can improve the study of populations and evolutionary lineages in areas where there are overlaps and hybridization phenomena.
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Genotyping of Two Mediterranean Trout Populations in Central-Southern Italy for Conservation Purposes Using a Rainbow-Trout-Derived SNP Array. Animals (Basel) 2021; 11:ani11061803. [PMID: 34204230 PMCID: PMC8233821 DOI: 10.3390/ani11061803] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 11/17/2022] Open
Abstract
Mediterranean trout is a freshwater fish of particular interest with economic significance for fishery management, aquaculture and conservation biology. Unfortunately, native trout populations' abundance is significantly threatened by anthropogenic disturbance. The introduction of commercial hatchery strains for recreation activities has compromised the genetic integrity status of native populations. This work assessed the fine-scale genetic structure of Mediterranean trout in the two main rivers of Molise region (Italy) to support conservation actions. In total, 288 specimens were caught in 28 different sites (14 per basins) and genotyped using the Affymetrix 57 K rainbow-trout-derived SNP array. Population differentiation was analyzed using pairwise weighted FST and overall F-statistic estimated by locus-by-locus analysis of molecular variance. Furthermore, an SNP data set was processed through principal coordinates analysis, discriminant analysis of principal components and admixture Bayesian clustering analysis. Firstly, our results demonstrated that rainbow trout SNP array can be successfully used for Mediterranean trout genotyping. In fact, despite an overwhelming number of loci that resulted as monomorphic in our populations, it must be emphasized that the resulted number of polymorphic loci (i.e., ~900 SNPs) has been sufficient to reveal a fine-scale genetic structure in the investigated populations, which is useful in supporting conservation and management actions. In particular, our findings allowed us to select candidate sites for the collection of adults, needed for the production of genetically pure juvenile trout, and sites to carry out the eradication of alien trout and successive re-introduction of native trout.
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Mastrochirico-Filho VA, Del Pazo F, Hata ME, Villanova GV, Foresti F, Vera M, Martínez P, Porto-Foresti F, Hashimoto DT. Assessing Genetic Diversity for a Pre-Breeding Program in Piaractus mesopotamicus by SNPs and SSRs. Genes (Basel) 2019; 10:genes10090668. [PMID: 31480436 PMCID: PMC6771149 DOI: 10.3390/genes10090668] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 08/28/2019] [Accepted: 08/28/2019] [Indexed: 11/16/2022] Open
Abstract
The pacu (Piaractus mesopotamicus) is a Neotropical fish with remarkable productive performance for aquaculture. Knowledge of genetic resources in Neotropical fish is essential for their applications in breeding programs. The aim of this study was to characterize the genetic diversity of seven farmed populations of pacu which will constitute the basis for a broodstock foundation for coming breeding programs in Brazil. Analysis of one wild population (Paraná River) was used as a reference to compare genetic parameters in the farmed populations. The analyses were performed using 32 single-nucleotide polymorphisms (SNP) and 8 simple sequence repeat (SSR) markers. No significant differences in genetic diversity between populations estimated through the number of alleles and allelic richness, observed heterozygosity, expected heterozygosity, and minimum allele frequency were detected (p > 0.05). Low genetic diversity was observed in all farmed stocks and the wild population. Moreover, we detected low genetic structure when comparing farmed and wild populations for SNPs (FST = 0.07; K = 3) and SSRs (FST = 0.08; K = 2). Analysis of molecular variance (AMOVA) demonstrated that genetic variation was mostly within populations. Kinship analysis showed that most fish farms included related individuals at a proportion of at least 25%. Our results suggest that the basal broodstock for pacu breeding programs should be founded with individuals from different fish farms for higher genetic diversity and to avoid inbreeding risks.
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Affiliation(s)
| | - Felipe Del Pazo
- Laboratorio Mixto de Biotecnología Acuática - Universidad Nacional de Rosario, Facultad de Ciencias Bioquímicas y Farmacéuticas - Ministerio de Ciencia, Tecnología e Innovación productiva de Santa Fe. Centro Científico y Tecnológico Acuario del Río Paraná, Rosario, Santa Fe 2000, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Rosario, Santa Fe 2000, Argentina
| | - Milene Elissa Hata
- Aquaculture Center of Unesp, São Paulo State University (Unesp), Jaboticabal, SP 14884-900, Brazil
| | - Gabriela Vanina Villanova
- Laboratorio Mixto de Biotecnología Acuática - Universidad Nacional de Rosario, Facultad de Ciencias Bioquímicas y Farmacéuticas - Ministerio de Ciencia, Tecnología e Innovación productiva de Santa Fe. Centro Científico y Tecnológico Acuario del Río Paraná, Rosario, Santa Fe 2000, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Rosario, Santa Fe 2000, Argentina
| | - Fausto Foresti
- Institute of Biosciences, São Paulo State University (Unesp), Botucatu, SP 18618-970, Brazil
| | - Manuel Vera
- Facultad de Veterinaria, Universidad de Santiago de Compostela (USC), ES27002 Lugo, Spain
- Instituto de Acuicultura, Universidad de Santiago de Compostela (USC), 15705 Santiago de Compostela, Spain
| | - Paulino Martínez
- Facultad de Veterinaria, Universidad de Santiago de Compostela (USC), ES27002 Lugo, Spain
- Instituto de Acuicultura, Universidad de Santiago de Compostela (USC), 15705 Santiago de Compostela, Spain
| | - Fábio Porto-Foresti
- São Paulo State University (Unesp), School of Sciences, Bauru, SP 17033-360, Brazil
| | - Diogo Teruo Hashimoto
- Aquaculture Center of Unesp, São Paulo State University (Unesp), Jaboticabal, SP 14884-900, Brazil.
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