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Cui X, Deng J, Zhang Y, Han Y, Ou M, Sun Y. Investigation of genetic diversity in the loach Misgurnus anguillicaudatus revealed by whole-genome resequencing. BMC Genomics 2024; 25:1126. [PMID: 39574010 PMCID: PMC11583728 DOI: 10.1186/s12864-024-10823-z] [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: 07/16/2024] [Accepted: 09/23/2024] [Indexed: 11/24/2024] Open
Abstract
BACKGROUND The loach (Misgurnus anguillicaudatus) is a significant freshwater economic fish in China, renowned for its tender meat, delicious taste, and high nutritional value. It is widely distributed across the country, except for the western plateau. However, the loach is currently at risk of population decline and degradation of wildlife resources. Research on genetic diversity provides a crucial foundation for the conservation and development of these fish resources. To enhance the protection and utilization of wild loach germplasm resources, we analyzed the genetic structure and diversity of 60 wild loach populations from Xiangtan City (XT), Shaoyang City (SY), and Yueyang City (XY) in Hunan, Guilin City (GL) and Guiping City (GP) in Guangxi, and Wuhan City (WH) in Hubei. Additionally, we mapped the DNA fingerprints of these 60 wild loaches using 12 high-quality SNP sites. RESULTS Whole genome resequencing (WGRS) was conducted on 60 loaches from six regions, yielding a total of 1047.17 Gb of raw data and 1046.98 Gb of clean data. From this 2,812,906 high-quality single nucleotide polymorphisms (SNPs) were identified, of which 10,022 core SNPs were selected to analyze the population genetic structure, and 12 core SNPs were used to assess the genetic diversity and DNA fingerprint. The analysis revealed that the 60 loach samples could be grouped into three clusters: Cluster A comprised the XT, SY, and XY groups; Cluster B included the WH group; and Cluster C consisted of the GL and GP groups. The mean nucleic acid diversity (Pi), heterozygosity (Ho), and expected heterozygosity (He) of SNP markers were 0.130, 0.140, and 0.123, respectively. The average inbreeding coefficient was 0.552, indicating high levels of inbreeding. CONCLUSIONS Whole genome resequencing is an effective high-throughput approach for identifying SNP information in loach germplasm and describing genetic relationships within this genus. DNA fingerprinting based on SNP marker technology can accurately assess the genetic structure and variation within natural loach populations, making it a valuable tool for strain and variation identification. Our findings provide a scientific basis for the conservation, development, and optimal breeding of native loach germplasm resources and contribute to expanding the genetic diversity database of wild loach populations.
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Affiliation(s)
- Xiaojuan Cui
- School of Life and Health Science, Hunan University of Science and Technology, Xiangtan, 411201, PR China
| | - Jimin Deng
- School of Life and Health Science, Hunan University of Science and Technology, Xiangtan, 411201, PR China
| | - Yifei Zhang
- School of Life and Health Science, Hunan University of Science and Technology, Xiangtan, 411201, PR China
| | - Ying Han
- School of Life and Health Science, Hunan University of Science and Technology, Xiangtan, 411201, PR China
| | - Mi Ou
- Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510380, PR China
| | - Yuandong Sun
- School of Life and Health Science, Hunan University of Science and Technology, Xiangtan, 411201, PR China.
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Elattar MA, Karikari B, Li S, Song S, Cao Y, Aslam M, Hina A, Abou-Elwafa SF, Zhao T. Identification and Validation of Major QTLs, Epistatic Interactions, and Candidate Genes for Soybean Seed Shape and Weight Using Two Related RIL Populations. Front Genet 2021; 12:666440. [PMID: 34122518 PMCID: PMC8195344 DOI: 10.3389/fgene.2021.666440] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/29/2021] [Indexed: 11/13/2022] Open
Abstract
Understanding the genetic mechanism underlying seed size, shape, and weight is essential for enhancing soybean cultivars. High-density genetic maps of two recombinant inbred line (RIL) populations, LM6 and ZM6, were evaluated across multiple environments to identify and validate M-QTLs as well as identify candidate genes behind major and stable quantitative trait loci (QTLs). A total of 239 and 43 M-QTLs were mapped by composite interval mapping (CIM) and mixed-model-based composite interval mapping (MCIM) approaches, from which 180 and 18, respectively, are novel QTLs. Twenty-two QTLs including four novel major QTLs were validated in the two RIL populations across multiple environments. Moreover, 18 QTLs showed significant AE effects, and 40 pairwise of the identified QTLs exhibited digenic epistatic effects. Thirty-four QTLs associated with seed flatness index (FI) were identified and reported here for the first time. Seven QTL clusters comprising several QTLs for seed size, shape, and weight on genomic regions of chromosomes 3, 4, 5, 7, 9, 17, and 19 were identified. Gene annotations, gene ontology (GO) enrichment, and RNA-seq analyses of the genomic regions of those seven QTL clusters identified 47 candidate genes for seed-related traits. These genes are highly expressed in seed-related tissues and nodules, which might be deemed as potential candidate genes regulating the seed size, weight, and shape traits in soybean. This study provides detailed information on the genetic basis of the studied traits and candidate genes that could be efficiently implemented by soybean breeders for fine mapping and gene cloning, and for marker-assisted selection (MAS) targeted at improving these traits individually or concurrently.
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Affiliation(s)
- Mahmoud A Elattar
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.,Agronomy Department, Faculty of Agriculture, Minia University, Minia, Egypt
| | - Benjamin Karikari
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Shuguang Li
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Shiyu Song
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Yongce Cao
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Muhammed Aslam
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Aiman Hina
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | | | - Tuanjie Zhao
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (Ministry of Agriculture), State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
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Suurväli J, Whiteley AR, Zheng Y, Gharbi K, Leptin M, Wiehe T. The Laboratory Domestication of Zebrafish: From Diverse Populations to Inbred Substrains. Mol Biol Evol 2021; 37:1056-1069. [PMID: 31808937 PMCID: PMC7086173 DOI: 10.1093/molbev/msz289] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
We know from human genetic studies that practically all aspects of biology are strongly influenced by the genetic background, as reflected in the advent of “personalized medicine.” Yet, with few exceptions, this is not taken into account when using laboratory populations as animal model systems for research in these fields. Laboratory strains of zebrafish (Danio rerio) are widely used for research in vertebrate developmental biology, behavior, and physiology, for modeling diseases, and for testing pharmaceutic compounds in vivo. However, all of these strains are derived from artificial bottleneck events and therefore are likely to represent only a fraction of the genetic diversity present within the species. Here, we use restriction site-associated DNA sequencing to genetically characterize wild populations of zebrafish from India, Nepal, and Bangladesh, and to compare them to previously published data on four common laboratory strains. We measured nucleotide diversity, heterozygosity, and allele frequency spectra, and find that wild zebrafish are much more diverse than laboratory strains. Further, in wild zebrafish, there is a clear signal of GC-biased gene conversion that is missing in laboratory strains. We also find that zebrafish populations in Nepal and Bangladesh are most distinct from all other strains studied, making them an attractive subject for future studies of zebrafish population genetics and molecular ecology. Finally, isolates of the same strains kept in different laboratories show a pattern of ongoing differentiation into genetically distinct substrains. Together, our findings broaden the basis for future genetic, physiological, pharmaceutic, and evolutionary studies in Danio rerio.
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Affiliation(s)
- Jaanus Suurväli
- Institute for Genetics, University of Cologne, Cologne, Germany
| | - Andrew R Whiteley
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, College of Forestry and Conservation, University of Montana, Missoula, MT
| | - Yichen Zheng
- Institute for Genetics, University of Cologne, Cologne, Germany
| | - Karim Gharbi
- Edinburgh Genomics, Ashworth Laboratories, University of Edinburgh, Edinburgh, United Kingdom.,Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | - Maria Leptin
- Institute for Genetics, University of Cologne, Cologne, Germany
| | - Thomas Wiehe
- Institute for Genetics, University of Cologne, Cologne, Germany
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Zhang G, Li J, Zhang J, Liang X, Wang T, Yin S. A high-density SNP-based genetic map and several economic traits-related loci in Pelteobagrus vachelli. BMC Genomics 2020; 21:700. [PMID: 33028208 PMCID: PMC7542894 DOI: 10.1186/s12864-020-07115-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 09/29/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND A high-density genetic linkage map is essential for QTL fine mapping, comparative genome analysis, identification of candidate genes and marker-assisted selection in aquaculture species. Pelteobagrus vachelli is a very popular commercial species in Asia. However, some specific characters hindered achievement of the traditional selective breeding based on phenotypes, such as lack of large-scale genomic resource and short of markers tightly associated with growth, sex determination and hypoxia tolerance related traits. RESULTS By making use of 5059 ddRAD markers in P. vachelli, a high-resolution genetic linkage map was successfully constructed. The map' length was 4047.01 cM by using an interval of 0.11 cm, which is an average marker standard. Comparative genome mapping revealed that a high proportion (83.2%) of markers with a one-to-one correspondence were observed between P. vachelli and P. fulvidraco. Based on the genetic map, 8 significant genome-wide QTLs for 4 weight, 1 body proportion, 2 sex determination, and 1 hypoxia tolerance related traits were detected on 4 LGs. Some SNPs from these significant genome-wide QTLs were observably associated with these phenotypic traits in other individuals by Kompetitive Allele Specific PCR. In addition, two candidate genes for weight, Sipa1 and HSD11B2, were differentially expressed between fast-, medium- and slow-growing P. vachelli. Sema7a, associated with hypoxia tolerance, was induced after hypoxia exposure and reoxygenation. CONCLUSIONS We mapped a set of suggestive and significant QTLs as well as candidate genes for 12 growth, 1 sex determination and 1 hypoxia tolerance related traits based on a high-density genetic linkage map by making use of SNP markers for P. fulvidraco. Our results have offered a valuable method about the much more efficient production of all-male, fast growth and hypoxia tolerance P. vachelli for the aquaculture industry.
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Affiliation(s)
- Guosong Zhang
- College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
- Key laboratory for physiology biochemistry and application, Heze University, Heze, 274015, Shandong, China
| | - Jie Li
- College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Jiajia Zhang
- College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Xia Liang
- Key laboratory for physiology biochemistry and application, Heze University, Heze, 274015, Shandong, China
| | - Tao Wang
- College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
- Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China
| | - Shaowu Yin
- College of Marine Science and Engineering, College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
- Co-Innovation Center for Marine Bio-Industry Technology, Lian Yungang, 222005, China.
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A first genetic linage map construction and QTL mapping for growth traits in Larimichthys polyactis. Sci Rep 2020; 10:11621. [PMID: 32669609 PMCID: PMC7363912 DOI: 10.1038/s41598-020-68592-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 06/30/2020] [Indexed: 11/08/2022] Open
Abstract
Larimichthys polyactis is a commercially important marine fish species in Eastern Asia, yet very few genetic resources exist. In particular, genetic linkage maps are critical tools for genetic breeding. In this study, we generated a high resolution linkage map from a family of 110 individuals and their parents by resequencing the individuals. 3,802 effective SNPs were mapped to 24 linkage groups (LGs). The map spanned 2,567.39 cm, with an average marker interval of 0.66 cm. We used the map to conduct QTL analysis for growth traits, and found 31 markers were significantly associated with growth-related traits. Specifically, three SNPs were identified for total length, nineteen SNPs for body length, and nine SNPs for body weight. The identified SNPs could explain 15.2-22.6% of the phenotypic variation. SNPs associated with growth traits were distributed on LG6 and LG11, and candidate genes included, kif26b, bat1, gna1, gbgt1, and amfr, which may regulate growth. The linkage map and mapped QTLs would be useful for improving the quality of L. polyactis via marker-assisted selection.
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Yang W, Wang Y, Jiang D, Tian C, Zhu C, Li G, Chen H. ddRADseq-assisted construction of a high-density SNP genetic map and QTL fine mapping for growth-related traits in the spotted scat (Scatophagus argus). BMC Genomics 2020; 21:278. [PMID: 32245399 PMCID: PMC7126399 DOI: 10.1186/s12864-020-6658-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 03/09/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Scatophagus argus is a popular farmed fish in several countries of Southeast Asia, including China. Although S. argus has a highly promising economic value, a significant lag of breeding research severely obstructs the sustainable development of aquaculture industry. As one of the most important economic traits, growth traits are controlled by multiple gene loci called quantitative trait loci (QTLs). It is urgently needed to launch a marker assisted selection (MAS) breeding program to improve growth and other pivotal traits. Thus a high-density genetic linkage map is necessary for the fine mapping of QTLs associated with target traits. RESULTS Using restriction site-associated DNA sequencing, 6196 single nucleotide polymorphism (SNP) markers were developed from a full-sib mapping population for genetic map construction. A total of 6193 SNPs were grouped into 24 linkage groups (LGs), and the total length reached 2191.65 cM with an average marker interval of 0.35 cM. Comparative genome mapping revealed 23 one-to-one and 1 one-to-two syntenic relationships between S. argus LGs and Larimichthys crocea chromosomes. Based on the high-quality linkage map, a total of 44 QTLs associated with growth-related traits were identified on 11 LGs. Of which, 19 significant QTLs for body weight were detected on 9 LGs, explaining 8.8-19.6% of phenotypic variances. Within genomic regions flanking the SNP markers in QTL intervals, we predicted 15 candidate genes showing potential relationships with growth, such as Hbp1, Vgll4 and Pim3, which merit further functional exploration. CONCLUSIONS The first SNP genetic map with a fine resolution of 0.35 cM for S. argus has been developed, which shows a high level of syntenic relationship with L. crocea genomes. This map can provide valuable information for future genetic, genomic and evolutionary studies. The QTLs and SNP markers significantly associated with growth-related traits will act as useful tools in gene mapping, map-based cloning and MAS breeding to speed up the genetic improvement in important traits of S. argus. The interesting candidate genes are promising for further investigations and have the potential to provide deeper insights into growth regulation in the future.
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Affiliation(s)
- Wei Yang
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
- Food and Environmental Engineering Department, Yangjiang Polytechnic, Yangjiang, 529566, China
| | - Yaorong Wang
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Dongneng Jiang
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Changxu Tian
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Chunhua Zhu
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Guangli Li
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China
| | - Huapu Chen
- Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Fisheries College, Guangdong Ocean University, Zhanjiang, 524088, China.
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An SNP-Based Genetic Map and QTL Mapping for Growth Traits in the Red-Spotted Grouper ( Epinephelus akaara). Genes (Basel) 2019; 10:genes10100793. [PMID: 31614822 PMCID: PMC6826704 DOI: 10.3390/genes10100793] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/04/2019] [Accepted: 10/04/2019] [Indexed: 12/13/2022] Open
Abstract
The red-spotted grouper (Epinephelus akaara) is one of the most commercially important aquatic species in China. However, its seedstock has low larval survival rates, and its stability is confronted with the danger of overexploitation. In this study, a high-density genetic map was constructed using 3435 single nucleotide polymorphisms (SNPs) from 142 first generation (F1) full-sib offspring and two parents of a red-spotted grouper population. The total genetic length of the map was 2300.12 cM with an average intermarker distance of 0.67 cM. Seventeen genome-wide significant quantitative trait loci (QTLs) for growth-related traits were detected on 24 linkage groups, including 5 QTLs for full length, 7 QTLs for body length, and 5 QTLs for body weight. The contribution values of explained phenotypic variance ranged from 10.7% to 12.9%. Moreover, 13 potential candidate genes for growth-related traits were identified. Collectively, these findings will be useful for conducting marker-assisted selection of the red-spotted grouper in future studies.
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