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Yang YC, Chu PY, Chen CC, Yang WC, Hsu TH, Gong HY, Liao IC, Huang CW. Transcriptomic Insights and the Development of Microsatellite Markers to Assess Genetic Diversity in the Broodstock Management of Litopenaeus stylirostris. Animals (Basel) 2024; 14:1685. [PMID: 38891732 PMCID: PMC11171113 DOI: 10.3390/ani14111685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 05/22/2024] [Accepted: 06/02/2024] [Indexed: 06/21/2024] Open
Abstract
The Pacific blue shrimp (Litopenaeus stylirostris) is a premium product in the international seafood market. However, intensified farming has increased disease incidence and reduced genetic diversity. In this study, we developed a transcriptome database for L. stylirostris and mined microsatellite markers to analyze their genetic diversity. Using the Illumina HiSeq 4000 platform, we identified 53,263 unigenes from muscle, hepatopancreas, the intestine, and lymphoid tissues. Microsatellite analysis identified 36,415 markers from 18,657 unigenes, predominantly dinucleotide repeats. Functional annotation highlighted key disease resistance pathways and enriched categories. The screening and PCR testing of 42 transcriptome-based and 58 literature-based markers identified 40 with successful amplification. The genotyping of 200 broodstock samples revealed that Na, Ho, He, PIC, and FIS values were 3, 0.54 ± 0.05, 0.43 ± 0.09, 0.41 ± 0.22, and 0.17 ± 0.27, respectively, indicating moderate genetic variability and significant inbreeding. Four universal microsatellite markers (CL1472.Contig13, CL517.Contig2, Unigene5692, and Unigene7147) were identified for precise diversity analysis in Pacific blue, Pacific white (Litopenaeus vannamei), and black tiger shrimps (Penaeus monodon). The transcriptome database supports the development of markers and functional gene analysis for selective breeding programs. Our findings underscore the need for an appropriate genetic management system to mitigate inbreeding depression, reduce disease susceptibility, and preserve genetic diversity in farmed shrimp populations.
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Affiliation(s)
- Ya-Chi Yang
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
| | - Pei-Yun Chu
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
| | - Che-Chun Chen
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
| | - Wen-Chin Yang
- Agricultural Biotechnology Research Center, Academia Sinica, No. 128, Academia Sinica Road, Sec. 2, Nankang, Taipei 11529, Taiwan;
| | - Te-Hua Hsu
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
- Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan;
| | - Hong-Yi Gong
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
- Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan;
| | - I Chiu Liao
- Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan;
| | - Chang-Wen Huang
- Department of Aquaculture, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan; (Y.-C.Y.); (P.-Y.C.); (C.-C.C.); (T.-H.H.); (H.-Y.G.)
- Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Road, Jhongjheng District, Keelung City 20224, Taiwan;
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Weng Z, Yang Y, Wang X, Wu L, Hua S, Zhang H, Meng Z. Parentage Analysis in Giant Grouper ( Epinephelus lanceolatus) Using Microsatellite and SNP Markers from Genotyping-by-Sequencing Data. Genes (Basel) 2021; 12:genes12071042. [PMID: 34356058 PMCID: PMC8304347 DOI: 10.3390/genes12071042] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 12/18/2022] Open
Abstract
Pedigree information is necessary for the maintenance of diversity for wild and captive populations. Accurate pedigree is determined by molecular marker-based parentage analysis, which may be influenced by the polymorphism and number of markers, integrity of samples, relatedness of parents, or different analysis programs. Here, we described the first development of 208 single nucleotide polymorphisms (SNPs) and 11 microsatellites for giant grouper (Epinephelus lanceolatus) taking advantage of Genotyping-by-sequencing (GBS), and compared the power of SNPs and microsatellites for parentage and relatedness analysis, based on a mixed family composed of 4 candidate females, 4 candidate males and 289 offspring. CERVUS, PAPA and COLONY were used for mutually verification. We found that SNPs had a better potential for relatedness estimation, exclusion of non-parentage and individual identification than microsatellites, and > 98% accuracy of parentage assignment could be achieved by 100 polymorphic SNPs (MAF cut-off < 0.4) or 10 polymorphic microsatellites (mean Ho = 0.821, mean PIC = 0.651). This study provides a reference for the development of molecular markers for parentage analysis taking advantage of next-generation sequencing, and contributes to the molecular breeding, fishery management and population conservation.
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Affiliation(s)
- Zhuoying Weng
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Yang Yang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Xi Wang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Lina Wu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Sijie Hua
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Hanfei Zhang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
| | - Zining Meng
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China; (Z.W.); (Y.Y.); (X.W.); (L.W.); (S.H.); (H.Z.)
- Southern Laboratory of Ocean Science and Engineering, Zhuhai 519000, China
- Correspondence:
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