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Yan L, Wang P, Zhao C, Zhang B, Zhang B, Guo J, Qiu L. Development of a spotted sea bass (Lateolabrax maculatus) bulbus arteriosus cell line and its application to fish virology and immunology. FISH & SHELLFISH IMMUNOLOGY 2024; 144:109298. [PMID: 38122954 DOI: 10.1016/j.fsi.2023.109298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
The bulbus arteriosus tissue of teleosts, which is located at the forefront of the heart, is used to reduce the pulse pressure. In this study, we constructed a permanent cell line (LmAB) for the first time using bulbus arteriosus tissue from spotted sea bass (Lateolabrax maculatus). This cell line has been passaged more than 80 times. Currently, it can be subcultured in L-15 medium with 8 % fetal bovine serum added. The optimal fetal bovine serum concentration and culture temperature for LmAB cells at 62 passages are 20 % and 28 °C, respectively. This cell line consists predominantly of epithelial-like cells. We used 18S rRNA gene sequencing to confirm that LmAB cells originated from spotted sea bass. Karyotype analysis revealed that 43 % of LmAB cells in passage 63 had 48 chromosomes. Exogenous plasmid transfection revealed that LmAB cells can express the green fluorescent protein gene with a transfection efficiency of up to 40 %, indicating that these cells can be used for in vitro genetic research. LmAB cells showed susceptibility to nervous necrosis virus, largemouth bass ulcer syndrome virus, and infectious spleen and kidney necrosis virus, which results in severe cytopathic effects. PCR analysis verified that these viruses can replicate in LmAB cells, and analysis of cytoskeletal F-actin patterns verified that infected cells exhibit serious changes in their actin cytoskeleton. LmAB cells infected with these three viruses showed increased expressions of interferon signaling pathway genes (IFNd, IFNγ-rel, and ISG15), indicating that the host interferon signaling pathway participates in the antiviral immune response. These findings indicate that our newly developed LmAB cell line is a valuable resource for future research in genetics, virology, and immunology.
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Affiliation(s)
- Lulu Yan
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China
| | - Pengfei Wang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China
| | - Chao Zhao
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China
| | - Bo Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China
| | - Bo Zhang
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China
| | - Jieyun Guo
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Lihua Qiu
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Sanya Tropical Fisheries Research Institute, Sanya, China; Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Chinese Academy of Fishery Science, Beijing, China.
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Shen X, Niu YC, Uichanco JAV, Phua N, Bhandare P, Thevasagayam NM, Prakki SRS, Orbán L. Mapping of a major QTL for increased robustness and detection of genome assembly errors in Asian seabass (Lates calcarifer). BMC Genomics 2023; 24:449. [PMID: 37558985 PMCID: PMC10413685 DOI: 10.1186/s12864-023-09513-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/11/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND For Asian seabass (Lates calcarifer, Bloch 1790) cultured at sea cages various aquatic pathogens, complex environmental and stress factors are considered as leading causes of disease, causing tens of millions of dollars of annual economic losses. Over the years, we conducted farm-based challenges by exposing Asian seabass juveniles to complex natural environmental conditions. In one of these challenges, we collected a total of 1,250 fish classified as either 'sensitive' or 'robust' individuals during the 28-day observation period. RESULTS We constructed a high-resolution linkage map with 3,089 SNPs for Asian seabass using the double digest Restriction-site Associated DNA (ddRAD) technology and a performed a search for Quantitative Trait Loci (QTL) associated with robustness. The search detected a major genome-wide significant QTL for increased robustness in pathogen-infected marine environment on linkage group 11 (ASB_LG11; 88.9 cM to 93.6 cM) with phenotypic variation explained of 81.0%. The QTL was positioned within a > 800 kb genomic region located at the tip of chromosome ASB_LG11 with two Single Nucleotide Polymorphism markers, R1-38468 and R1-61252, located near to the two ends of the QTL. When the R1-61252 marker was validated experimentally in a different mass cross population, it showed a statistically significant association with increased robustness. The majority of thirty-six potential candidate genes located within the QTL have known functions related to innate immunity, stress response or disease. By utilizing this ddRAD-based map, we detected five mis-assemblies corresponding to four chromosomes, namely ASB_LG8, ASB_LG9, ASB_LG15 and ASB_LG20, in the current Asian seabass reference genome assembly. CONCLUSION According to our knowledge, the QTL associated with increased robustness is the first such finding from a tropical fish species. Depending on further validation in other stocks and populations, it might be potentially useful for selecting robust Asian seabass lines in selection programs.
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Affiliation(s)
- Xueyan Shen
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore.
- Tropical Futures Institute, James Cook University Singapore, Singapore, Singapore.
| | | | - Joseph Angelo V Uichanco
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
- James Cook University Singapore, Singapore, Singapore
| | - Norman Phua
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
- Present Address: School of Chemical & Life Sciences, Life Sciences Applied Research Group, Nanyang Polytechnic, Singapore, Singapore
| | - Pranjali Bhandare
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
- Present address: Theodor Boven Institute (Biocenter), University of Würzburg, Würzburg, Germany
| | - Natascha May Thevasagayam
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
- Present address: Infectious Disease Research Laboratory, National Centre for Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore
| | - Sai Rama Sridatta Prakki
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
- Present address: Infectious Disease Research Laboratory, National Centre for Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore
| | - László Orbán
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore.
- Frontline Fish Genomics Research Group, Department of Applied Fish Biology, Institute of Aquaculture and Environmental Safety, Georgikon Campus, Hungarian University of Agriculture and Life Sciences, Keszthely, Hungary.
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Wenne R. Microsatellites as Molecular Markers with Applications in Exploitation and Conservation of Aquatic Animal Populations. Genes (Basel) 2023; 14:genes14040808. [PMID: 37107566 PMCID: PMC10138012 DOI: 10.3390/genes14040808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/28/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023] Open
Abstract
A large number of species and taxa has been studied for genetic polymorphism. Microsatellites have been known as hypervariable neutral molecular markers with the highest resolution power in comparison with any other markers. However, the discovery of a new type of molecular marker—single nucleotide polymorphism (SNP) has put the existing applications of microsatellites to the test. To ensure good resolution power in studies of populations and individuals, a number of microsatellite loci from 14 to 20 was often used, which corresponds to about 200 independent alleles. Recently, these numbers have tended to be increased by the application of genomic sequencing of expressed sequence tags (ESTs), and the choice of the most informative loci for genotyping depends on the aims of research. Examples of successful applications of microsatellite molecular markers in aquaculture, fisheries, and conservation genetics in comparison with SNPs have been summarized in this review. Microsatellites can be considered superior markers in such topics as kinship and parentage analysis in cultured and natural populations, the assessment of gynogenesis, androgenesis and ploidization. Microsatellites can be coupled with SNPs for mapping QTL. Microsatellites will continue to be used in research on genetic diversity in cultured stocks, and also in natural populations as an economically advantageous genotyping technique.
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Affiliation(s)
- Roman Wenne
- Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712 Sopot, Poland
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4
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Breeding Asian seabass to increase survival against big belly disease and growth. AQUACULTURE AND FISHERIES 2022. [DOI: 10.1016/j.aaf.2022.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Fu G, Yuna Y. Phenotyping and phenomics in aquaculture breeding. AQUACULTURE AND FISHERIES 2022. [DOI: 10.1016/j.aaf.2021.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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VNN disease and status of breeding for resistance to NNV in aquaculture. AQUACULTURE AND FISHERIES 2022. [DOI: 10.1016/j.aaf.2021.04.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Yang Z, Wong SM, Yue GH. Effects of rrm1 on NNV Resistance Revealed by RNA-seq and Gene Editing. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2021; 23:854-869. [PMID: 34735644 DOI: 10.1007/s10126-021-10068-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/30/2021] [Indexed: 06/13/2023]
Abstract
Viral nervous necrosis (VNN) disease caused by the nervous necrosis virus (NNV) is a major disease, leading to a huge economic loss in aquaculture. Previous GWAS and QTL mapping have identified a major QTL for NNV resistance in linkage group 20 in Asian seabass. However, no causative gene for NNV resistance has been identified. In this study, RNA-seq from brains of Asian seabass fingerlings challenged with NNV at four time points (5, 10, 15 and 20 days post-challenge) identified 1228, 245, 189 and 134 DEGs, respectively. Eight DEGs, including rrm1, were located in the major QTL for NNV resistance. An association study in 445 survived and 608 dead fingerlings after NNV challenge revealed that the SNP in rrm1 were significantly associated with NNV resistance. Therefore, rrm1 was selected for functional analysis, as a candidate gene for NNV resistance. The expression of rrm1 was significantly increased in the gill, liver, spleen and muscle, and was suppressed in the brain, gut and skin after NNV challenge. The rrm1 protein was localized in the nuclear membrane. Over-expression of rrm1 significantly decreased viral RNA and titer in NNV-infected Asian seabass cells, whereas knock-down of rrm1 significantly increased viral RNA and titer in NNV-infected Asian seabass cells. The rrm1 knockout heterozygous zebrafish was more susceptible to NNV infection. Our study suggests that rrm1 is one of the causative genes for NNV resistance and the SNP in the gene may be applied for accelerating genetic improvement for NNV resistance.
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Affiliation(s)
- Zituo Yang
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, Singapore, 117543, Singapore
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
| | - Sek Man Wong
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, Singapore, 117543, Singapore.
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore.
- National University of Singapore Suzhou Research Institute, Suzhou, 215123, Jiangsu, China.
| | - Gen Hua Yue
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, Singapore, 117543, Singapore.
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore.
- School of Biological Sciences, Nanyang Technological University, 6 Nanyang Drive, Singapore, 637551, Singapore.
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Orbán L, Shen X, Phua N, Varga L. Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals? Front Genet 2021; 12:506754. [PMID: 33968125 PMCID: PMC8097054 DOI: 10.3389/fgene.2021.506754] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 03/15/2021] [Indexed: 01/08/2023] Open
Abstract
Due to the steadily increasing need for seafood and the plateauing output of fisheries, more fish need to be produced by aquaculture production. In parallel with the improvement of farming methods, elite food fish lines with superior traits for production must be generated by selection programs that utilize cutting-edge tools of genomics. The purpose of this review is to provide a historical overview and status report of a selection program performed on a catadromous predator, the Asian seabass (Lates calcarifer, Bloch 1790) that can change its sex during its lifetime. We describe the practices of wet lab, farm and lab in detail by focusing onto the foundations and achievements of the program. In addition to the approaches used for selection, our review also provides an inventory of genetic/genomic platforms and technologies developed to (i) provide current and future support for the selection process; and (ii) improve our understanding of the biology of the species. Approaches used for the improvement of terrestrial farm animals are used as examples and references, as those processes are far ahead of the ones used in aquaculture and thus they might help those working on fish to select the best possible options and avoid potential pitfalls.
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Affiliation(s)
- László Orbán
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore.,Frontline Fish Genomics Research Group, Department of Applied Fish Biology, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Keszthely, Hungary
| | - Xueyan Shen
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore.,Tropical Futures Institute, James Cook University, Singapore, Singapore
| | - Norman Phua
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, Singapore, Singapore
| | - László Varga
- Institute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Gödöllõ, Hungary.,Institute for Farm Animal Gene Conservation, National Centre for Biodiversity and Gene Conservation, Gödöllõ, Hungary
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Yang Z, Wong SM, Yue GH. Characterization of GAB3 and its association with NNV resistance in the Asian seabass. FISH & SHELLFISH IMMUNOLOGY 2020; 104:18-24. [PMID: 32473363 DOI: 10.1016/j.fsi.2020.05.035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 05/10/2020] [Accepted: 05/12/2020] [Indexed: 06/11/2023]
Abstract
Understanding the functions of genes related to disease resistance and identifying polymorphisms in these genes are essential in molecular breeding for disease resistance. Viral nervous necrosis (VNN) is one of the major diseases in the Asian seabass, Lates calcarifer. Our previous works on QTL mapping, GWAS and cell-line transcriptome analysis of the Asian seabass after NNV challenge revealed that the gene GAB3 might be a candidate gene for VNN resistance. In this study, we cloned and characterized GAB3, and identified SNPs in the gene of the Asian seabass. The cDNA of the gene was 2165 bp, containing an ORF of 1674 bp encoding 557 amino acids. The gene consisted of 10 exons and nine introns. It was ubiquitously expressed in normal fish. An analysis of the association between two SNPs in the second intron and NNV resistance in 1035 fish descended from 43 families revealed that the two SNPs were significantly associated with VNN resistance. After NNV infection, the expression of GAB3 was significantly increased in the brain, spleen, muscle and gut, and was suppressed in the liver. The GAB3 protein was localized in the nucleus. Overexpression of GAB3 with specific GAB3-pcDNA was positively correlated to increased viral RNA and titer in NNV-infected Asian seabass cells. Our study provides new evidence to support that GAB3 may be an important gene related to NNV resistance. In addition, the SNPs provide DNA markers for the selection of candidate genes resistance to NNV at the juvenile stage of Asian seabass.
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Affiliation(s)
- Zituo Yang
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore
| | - Sek Man Wong
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore; National University of Singapore Suzhou Research Institute, Suzhou, Jiangsu, 215123, China.
| | - Gen Hua Yue
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore; School of Biological Sciences, Nanyang Technological University, 6 Nanyang Drive, 637551, Singapore.
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10
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Fraslin C, Quillet E, Rochat T, Dechamp N, Bernardet JF, Collet B, Lallias D, Boudinot P. Combining Multiple Approaches and Models to Dissect the Genetic Architecture of Resistance to Infections in Fish. Front Genet 2020; 11:677. [PMID: 32754193 PMCID: PMC7365936 DOI: 10.3389/fgene.2020.00677] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 06/02/2020] [Indexed: 12/25/2022] Open
Abstract
Infectious diseases represent a major threat for the sustainable development of fish farming. Efficient vaccines are not available against all diseases, and growing antibiotics resistance limits the use of antimicrobial drugs in aquaculture. It is therefore important to understand the basis of fish natural resistance to infections to help genetic selection and to develop new approaches against infectious diseases. However, the identification of the main mechanisms determining the resistance or susceptibility of a host to a pathogenic microbe is challenging, integrating the complexity of the variation of host genetics, the variability of pathogens, and their capacity of fast evolution and adaptation. Multiple approaches have been used for this purpose: (i) genetic approaches, QTL (quantitative trait loci) mapping or GWAS (genome-wide association study) analysis, to dissect the genetic architecture of disease resistance, and (ii) transcriptomics and functional assays to link the genetic constitution of a fish to the molecular mechanisms involved in its interactions with pathogens. To date, many studies in a wide range of fish species have investigated the genetic determinism of resistance to many diseases using QTL mapping or GWAS analyses. A few of these studies pointed mainly toward adaptive mechanisms of resistance/susceptibility to infections; others pointed toward innate or intrinsic mechanisms. However, in the majority of studies, underlying mechanisms remain unknown. By comparing gene expression profiles between resistant and susceptible genetic backgrounds, transcriptomics studies have contributed to build a framework of gene pathways determining fish responsiveness to a number of pathogens. Adding functional assays to expression and genetic approaches has led to a better understanding of resistance mechanisms in some cases. The development of knock-out approaches will complement these analyses and help to validate putative candidate genes critical for resistance to infections. In this review, we highlight fish isogenic lines as a unique biological material to unravel the complexity of host response to different pathogens. In the future, combining multiple approaches will lead to a better understanding of the dynamics of interaction between the pathogen and the host immune response, and contribute to the identification of potential targets of selection for improved resistance.
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Affiliation(s)
- Clémence Fraslin
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France
| | - Edwige Quillet
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France
| | - Tatiana Rochat
- INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France
| | - Nicolas Dechamp
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France
| | | | - Bertrand Collet
- INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France
| | - Delphine Lallias
- INRAE, AgroParisTech, GABI, Université Paris-Saclay, Jouy-en-Josas, France
| | - Pierre Boudinot
- INRAE, UVSQ, VIM, Université Paris-Saclay, Jouy-en-Josas, France
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Wang L, Chua E, Sun F, Wan ZY, Ye B, Pang H, Wen Y, Yue GH. Mapping and Validating QTL for Fatty Acid Compositions and Growth Traits in Asian Seabass. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2019; 21:643-654. [PMID: 31273567 DOI: 10.1007/s10126-019-09909-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 06/17/2019] [Indexed: 06/09/2023]
Abstract
Asian seabass is an important food fish species. While improving growth, increasing the nutritional value is important, omega-3 fatty acids are indispensable to human health. Identifying and validating DNA markers associated with traits is the first step towards marker-assisted selection (MAS). We quantified 13 different fatty acids and three growth traits in 213 F2 Asian seabass from a family at the age 270 days post hatch, and screened QTL for these traits. The content of total fatty acids in 100 g flesh was 2.57 ± 0.80 g, while the proportions of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) were 16.96 ± 2.20% and 5.42 ± 0.90%, respectively. A linkage map with 2424 SNPs was constructed and used for QTL mapping. For fatty acid compositions, 14 significant QTL were identified on three linkage groups (LG5, LG11 and LG14), with phenotypic variance explained (PVE) from 12.8 to 24.6%. Thirty-nine suggestive QTL were detected on 16 LGs. Two significant QTL for EPA were identified on LG5 and LG14, with PVE of 15.2% and 15.1%, respectively. No significant QTL was identified for DHA. For growth traits, six significant and 13 suggestive QTL were identified on two and seven LGs, respectively. Only a few significant QTL for fatty acids overlapped with previously mapped QTL for these traits, suggesting that most QTL detected in a family are family-specific and could only be used in MAS in the family per se. To facilitate population-wide molecular breeding, more powerful methods (e.g. GWAS) should be used to identify SNPs for genomic selection.
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Affiliation(s)
- Le Wang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Elaine Chua
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Fei Sun
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Zi Yi Wan
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Baoqing Ye
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Hongyan Pang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Yanfei Wen
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Gen Hua Yue
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
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12
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Wang Y, Sun G, Zeng Q, Chen Z, Hu X, Li H, Wang S, Bao Z. Predicting Growth Traits with Genomic Selection Methods in Zhikong Scallop (Chlamys farreri). MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2018; 20:769-779. [PMID: 30116982 DOI: 10.1007/s10126-018-9847-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 07/29/2018] [Indexed: 06/08/2023]
Abstract
Selective breeding is a common and effective approach for genetic improvement of aquaculture stocks with parental selection as the key factor. Genomic selection (GS) has been proposed as a promising tool to facilitate selective breeding. Here, we evaluated the predictability of four GS methods in Zhikong scallop (Chlamys farreri) through real dataset analyses of four economical traits (e.g., shell length, shell height, shell width, and whole weight). Our analysis revealed that different GS models exhibited variable performance in prediction accuracy depending on genetic and statistical factors, but non-parametric method, including reproducing kernel Hilbert spaces regression (RKHS) and sparse neural networks (SNN), generally outperformed parametric linear method, such as genomic best linear unbiased prediction (GBLUP) and BayesB. Furthermore, we demonstrated that the predictability relied mainly on the heritability regardless of GS methods. The size of training population and marker density also had considerable effects on the predictive performance. In practice, increasing the training population size could better improve the genomic prediction than raising the marker density. This study is the first to apply non-linear model and neural networks for GS in scallop and should be valuable to help develop strategies for aquaculture breeding programs.
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Affiliation(s)
- Yangfan Wang
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China
| | - Guidong Sun
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China
| | - Qifan Zeng
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China.
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
| | - Zhihui Chen
- Division of Cell and Developmental Biology, College of Life Science, University of Dundee, Dundee, DD1 4HN, UK
| | - Xiaoli Hu
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
| | - Hengde Li
- Ministry of Agriculture Key Laboratory of Aquatic Genomics, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Center for Applied Aquatic Genomics, Chinese Academy of Fishery Sciences, Beijing, 100141, China
| | - Shi Wang
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
| | - Zhenmin Bao
- Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Science, Ocean University of China, Qingdao, 266003, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
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Sun F, Tu R, Xia JH, Liu XJ, Yue GH. The FTO Gene Is Associated with Growth and Omega-3/-6 Ratio in Asian Seabass. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2018; 20:603-610. [PMID: 29766417 DOI: 10.1007/s10126-018-9831-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 04/29/2018] [Indexed: 06/08/2023]
Abstract
Polymorphisms in the FTO gene are associated with obesity and body mass index in humans and livestock. Little information of whether FTO plays an important role in aquaculture fish species is available. We cloned and characterized the FTO gene in an economically important food fish species: Asian seabass (Lates calcarifer). The full-length cDNA of the gene is 3679 bp, containing an ORF of 1935 bp encoding 644 amino acids, a 216 bp 5' UTR and a 1538 bp 3' UTR. The gene consisted of nine exons and eight introns and was 117,679 bp in length. Phylogenetic analysis revealed that the gene in Asian seabass was closely related to those of Japanese flounder and Nile tilapia. Analysis of its expressions using qRT-PCR showed that it was expressed ubiquitously, but was higher in the liver, stomach and intestine. Comparative analysis of the genomic sequences of part of intron 1 of the gene among 10 unrelated individuals identified two SNPs. Analysis of associations between SNPs and traits (i.e. growth, oil content, omega-3 and -6 contents) in an F2 family demonstrated that the two SNPs were significantly associated with growth, oil content, omega-3 content and omega-3/-6 ratio. Altogether, our data suggest that the gene or/and its linked genes play an important role in growth and fatty acid synthesis, and that the SNPs associated with traits may be used as markers for selecting quicker growth and higher omega-3/-6 ratio at the fingerling stage.
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Affiliation(s)
- Fei Sun
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
| | - Rongjian Tu
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Jun Hong Xia
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Provincial Key Laboratory for Aquatic Economic Animals, College of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Xiao Jun Liu
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Shanghai Ocean University, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Gen Hua Yue
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, Singapore, 117604, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, Singapore, 117543, Singapore.
- School of Biological Sciences, Nanyang Technological University, 6 Nanyang Drive, Singapore, 637551, Singapore.
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14
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Lu XB, Chen YX, Cui ZW, Zhang XY, Lu LF, Li S, Xia XQ, Nie P, Zhang YA. Characterization of grass carp CD40 and CD154 genes and the association between their polymorphisms and resistance to grass carp reovirus. FISH & SHELLFISH IMMUNOLOGY 2018; 81:304-308. [PMID: 30030114 DOI: 10.1016/j.fsi.2018.07.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 07/15/2018] [Accepted: 07/16/2018] [Indexed: 06/08/2023]
Abstract
In bony fish, CD40 and CD154 are two very important costimulatory molecules involved in T and B cell cooperation in thymus-dependent antibody production. In the current study, we identified the cDNAs of CD40 and CD154 and analyzed their genomic structures in grass carp. Quantitative real-time PCR indicated that the CD40 and CD154 were mainly expressed in immune organs. After challenge with grass carp reovirus (GCRV), these two genes were up-regulated at 72 h in head kidney and spleen. Moreover, seven and five single nucleotide polymorphisms (SNPs) were identified in the CD40 and CD154 respectively. Statistical analysis indicated that three SNPs in the coding region of the CD40 were significantly associated with the resistance of grass carp against GCRV. These results indicated that CD40 and CD154 play important roles in the responses to GCRV in grass carp. The SNP markers in the CD40 associated with the resistance to GCRV may facilitate the disease-resistant breeding of grass carp.
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Affiliation(s)
- Xiao-Bing Lu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Ya-Xin Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Zheng-Wei Cui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xiang-Yang Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Long-Feng Lu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, Wuhan, China
| | - Shun Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, Wuhan, China
| | - Xiao-Qin Xia
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Pin Nie
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, Wuhan, China.
| | - Yong-An Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; Key Laboratory of Aquaculture Disease Control, Ministry of Agriculture, Wuhan, China.
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15
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GWAS analysis using interspecific backcross progenies reveals superior blue catfish alleles responsible for strong resistance against enteric septicemia of catfish. Mol Genet Genomics 2018; 293:1107-1120. [PMID: 29737402 DOI: 10.1007/s00438-018-1443-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 05/02/2018] [Indexed: 12/11/2022]
Abstract
Infectious diseases pose significant threats to the catfish industry. Enteric septicemia of catfish (ESC) caused by Edwardsiella ictaluri is the most devastating disease for catfish aquaculture, causing huge economic losses annually. Channel catfish and blue catfish exhibit great contrast in resistance against ESC, with channel catfish being highly susceptible and blue catfish being highly resistant. As such, the interspecific backcross progenies provide an ideal system for the identification of quantitative trait locus (QTL). We previously reported one significant QTL on linkage group (LG) 1 using the third-generation backcrosses, but the number of founders used to make the second- and third-generation backcross progenies was very small. Although the third-generation backcross progenies provided a greater power for fine mapping than the first-generation backcrosses, some major QTL for disease resistance may have been missing due to the small numbers of founders used to produce the higher generation backcrosses. In this study, we performed a genome-wide association study using first-generation backcrosses with the catfish 690 K SNP arrays to identify additional ESC disease resistance QTL, especially those at the species level. Two genomic regions on LG1 and LG23 were determined to be significantly associated with ESC resistance as revealed by a mixed linear model and family-based association test. Examination of the resistance alleles indicated their origin from blue catfish, indicating that at least two major disease resistance loci exist among blue catfish populations. Upon further validation, markers linked with major ESC disease resistance QTL should be useful for marker-assisted introgression, allowing development of highly ESC resistant breeds of catfish.
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Lin G, Wang L, Ngoh ST, Ji L, Orbán L, Yue GH. Mapping QTL for Omega-3 Content in Hybrid Saline Tilapia. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2018; 20:10-19. [PMID: 29204906 DOI: 10.1007/s10126-017-9783-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 11/07/2017] [Indexed: 06/07/2023]
Abstract
Tilapia is one of most important foodfish species. The low omega-3 to omega-6 fatty acid ratio in freshwater tilapia meat is disadvantageous for human health. Increasing omega-3 content is an important task in breeding to increase the nutritional value of tilapia. However, conventional breeding to increase omega-3 content is difficult and slow. To accelerate the increase of omega-3 through marker-assisted selection (MAS), we conducted QTL mapping for fatty acid contents and profiles in a F2 family of saline tilapia generated by crossing red tilapia and Mozambique tilapia. The total omega-3 content in F2 hybrid tilapia was 2.5 ± 1.0 mg/g, higher than that (2.00 mg/g) in freshwater tilapia. Genotyping by sequencing (GBS) technology was used to discover and genotype SNP markers, and microsatellites were also genotyped. We constructed a linkage map with 784 markers (151 microsatellites and 633 SNPs). The linkage map was 2076.7 cM long and consisted of 22 linkage groups. Significant and suggestive QTL for total lipid content were mapped on six linkage groups (LG3, -4, -6, -8, -13, and -15) and explained 5.8-8.3% of the phenotypic variance. QTL for omega-3 fatty acids were located on four LGs (LG11, -18, -19, and -20) and explained 5.0 to 7.5% of the phenotypic variance. Our data suggest that the total lipid and omega-3 fatty acid content were determined by multiple genes in tilapia. The markers flanking the QTL for omega-3 fatty acids can be used in MAS to accelerate the genetic improvements of these traits in salt-tolerant tilapia.
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Affiliation(s)
- Grace Lin
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Le Wang
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Si Te Ngoh
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Lianghui Ji
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Laszlo Orbán
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
- Department of Animal Sciences and Animal Husbandry, Georgikon Faculty, University of Pannonia, Keszthely, H-8360, Hungary.
- Centre for Comparative Genomics, Murdoch University, Murdoch, WA 6150, Australia.
| | - Gen Hua Yue
- Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
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17
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Geng X, Liu S, Yuan Z, Jiang Y, Zhi D, Liu Z. A Genome-Wide Association Study Reveals That Genes with Functions for Bone Development Are Associated with Body Conformation in Catfish. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2017; 19:570-578. [PMID: 28971324 DOI: 10.1007/s10126-017-9775-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 08/08/2017] [Indexed: 06/07/2023]
Abstract
Body conformation is of great scientific and commercial interest for aquaculture fish species because it affects biological adaptation of the organism to environments, and is of economic importance to the aquaculture industry considering its direct effect on fillet yield. Catfish is the primary aquaculture species in the USA. Two major species used in the aquaculture industry, channel catfish and blue catfish, differ in body shape and therefore the backcross progenies serve as a good model for quantitative trait locus (QTL) analysis. Here, a genome-wide association study (GWAS) with hybrid catfish was conducted to identify the QTL for body conformation, including deheaded body length (DBL), body length (BL), body depth (BD), and body breadth (BB), which were all standardized by cubic root of body weight. Overall, the results indicate that the traits are polygenic. For DBL, linkage group (LG) 2 and LG 24 contain significant QTL, and LG 13 and LG 26 contain suggestively associated QTL (-log10(P value) > 4.5). Compared with DBL, additional SNPs were identified to be associated with body length on LG 2, LG 7, and LG 18. Although no significant QTL for body depth was found, three suggestively associated QTLs were identified on LG 5, LG 13, and LG 14. No SNP for body breadth reached the threshold for suggestive association. Genes close to the associated SNPs were determined, many of which are known to be involved in bone development. This work therefore provides the basis for future identification of causal genes for the control of body conformation.
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Affiliation(s)
- Xin Geng
- Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Shikai Liu
- Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Zihao Yuan
- Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Yanliang Jiang
- Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Degui Zhi
- School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Zhanjiang Liu
- Fish Molecular Genetics and Biotechnology Laboratory, Aquatic Genomics Unit, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
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18
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Wang L, Bai B, Huang S, Liu P, Wan ZY, Ye B, Wu J, Yue GH. QTL Mapping for Resistance to Iridovirus in Asian Seabass Using Genotyping-by-Sequencing. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2017; 19:517-527. [PMID: 28758171 DOI: 10.1007/s10126-017-9770-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 07/12/2017] [Indexed: 06/07/2023]
Abstract
Identifying quantitative trait loci (QTL) for viral disease resistance is of particular importance in selective breeding programs of fish species. Genetic markers linked to QTL can be useful in marker-assisted selection (MAS) for elites resistant to specific pathogens. Here, we conducted a genome scan for QTL associated with Singapore grouper iridovirus (SGIV) resistance in an Asian seabass (Lates calcarifer) family, using a high-density linkage map generated with genotyping-by-sequencing. One genome-wide significant and three suggestive QTL were detected at LG21, LG6, LG13, and LG15, respectively. The phenotypic variation explained (PVE) by the four QTL ranged from 7.5 to 15.6%. The position of the most significant QTL at LG21 was located between 31.88 and 36.81 cM. The SNP marker (SNP130416) nearest to the peak of this QTL was significantly associated with SGIV resistance in an unrelated multifamily population. One candidate gene, MECOM, close to the peak of this QTL region, was predicted. Evidence of alternative splicing was observed for MECOM and one specific category of splicing variants was differentially expressed at 5 days post-SGIV infection. The QTL detected in this study are valuable resources and can be used in the selective breeding programs of Asian seabass with regard to resistance to SGIV.
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Affiliation(s)
- Le Wang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Bin Bai
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Shuqing Huang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Peng Liu
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Zi Yi Wan
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Baoqing Ye
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Jinlu Wu
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Gen Hua Yue
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
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19
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Niu D, Du Y, Wang Z, Xie S, Nguyen H, Dong Z, Shen H, Li J. Construction of the First High-Density Genetic Linkage Map and Analysis of Quantitative Trait Loci for Growth-Related Traits in Sinonovacula constricta. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2017; 19:488-496. [PMID: 28725940 DOI: 10.1007/s10126-017-9768-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 06/26/2017] [Indexed: 06/07/2023]
Abstract
The razor clam (Sinonovacula constricta) is an important aquaculture species, for which a high-density genetic linkage map would play an important role in marker-assisted selection (MAS). In this study, we constructed a high-density genetic map and detected quantitative trait loci (QTLs) for Sinonovacula constricta with an F1 cross population by using the specific locus amplified fragment sequencing (SLAF-seq) method. A total of 315,553 SLAF markers out of 467.71 Mreads were developed. The final linkage map was composed of 7516 SLAFs (156.60-fold in the parents and 20.80-fold in each F1 population on average). The total distance of the linkage map was 2383.85 cM, covering 19 linkage groups with an average inter-marker distance of 0.32 cM. The proportion of gaps less than 5.0 cM was on average 96.90%. A total of 16 suggestive QTLs for five growth-related traits (five QTLs for shell height, six QTLs for shell length, three QTLs for shell width, one QTL for total body weight, and one QTL for soft body weight) were identified. These QTLs were distributed on five linkage groups, and the regions showed overlapping on LG9 and LG13. In conclusion, the high-density genetic map and QTLs for S. constricta provide a valuable genetic resource and a basis for MAS.
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Affiliation(s)
- Donghong Niu
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
- Shanghai Engineering Research Center of Aquaculture, Shanghai, 201306, China
| | - Yunchao Du
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Ze Wang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Shumei Xie
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Haideng Nguyen
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Zhiguo Dong
- Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Huaihai Institute of Technology, Lianyungang, 222005, China
| | - Heding Shen
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China
- Shanghai Engineering Research Center of Aquaculture, Shanghai, 201306, China
| | - Jiale Li
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China.
- Co-Innovation Center of Jiangsu Marine Bio-industry Technology, Huaihai Institute of Technology, Lianyungang, 222005, China.
- College of Aquaculture and Life Science, Shanghai Ocean University, Shanghai, 201306, China.
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20
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Regional genetic diversity for NNV grouper viruses across the Indo-Asian region - implications for selecting virus resistance in farmed groupers. Sci Rep 2017; 7:10658. [PMID: 28878324 PMCID: PMC5587679 DOI: 10.1038/s41598-017-11263-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 08/22/2017] [Indexed: 11/22/2022] Open
Abstract
Grouper aquaculture around Asia is impacted by the nervous necrosis virus (NNV) and, in response, host resistance to this infection is being considered as a trait for selection. However efficient selection may be confounded if there are different genetic strains of NNV within and between regions and over years. This study uses statistical approaches and assessment of “characteristic attributes” (i.e. nucleotide positions that discriminate among strains) to assess whether published and new NNV RNA2 cds sequences show genetic differentiation over geography, host species and years. Rather clear evidence was found for regional strains of NNV. Interestingly, most of the geographic defining “characteristic attributes” were in codon position three, and not translated into differences for the protein capsid (i.e. they were synonymous variations), suggesting that while NNV strains were geographically isolated and had diverged in different regions for RNA sequences, selection had largely conserved the protein sequences among regions. The apparent selection constraint on the capsid protein may mitigate the risk that despite geographic subdivision, NNV strain variability will confound genetic selection for host resistance. The existence of regional Asian NNV strains may suggest that hatcheries are at risk from NNV not only from imported material but also from endemic reservoirs.
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Wang L, Liu P, Huang S, Ye B, Chua E, Wan ZY, Yue GH. Genome-Wide Association Study Identifies Loci Associated with Resistance to Viral Nervous Necrosis Disease in Asian Seabass. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2017; 19:255-265. [PMID: 28484864 DOI: 10.1007/s10126-017-9747-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 04/19/2017] [Indexed: 05/22/2023]
Abstract
Viral nervous necrosis disease (VNN), caused by nervous necrosis virus (NNV), is one major threat to mariculture. Identifying loci and understanding the mechanisms associated with resistance to VNN are important in selective breeding programs. We performed a genome-wide association study (GWAS) using genotyping-by-sequencing (GBS) to study the genomic architecture of resistance to NNV infection in Asian seabass. We genotyped 986 individuals from 43 families produced by 15 founders with 44498 bi-allelic genetic variants using GBS. The GWAS identified three genome-wide significant loci on chromosomes 16, 19, and 20, respectively, and six suggestive loci on chromosomes 1, 8, 14, 15, 21, and 24, respectively, associated with resistance to NNV infection measured as binary and quantitative traits. Using the 500 most significant markers in combination with a training population of 800 samples could reach a genomic prediction accuracy of 0.7. Candidate genes significantly associated with resistance to NNV, including lysine-specific demethylase 2A, beta-defensin 1, and cystatin-B, which play important roles in immune responses against virus infection, were identified. Almost all the candidate genes were differentially expressed in different tissues against NNV infection. The significant genetic variants can be used in genomic selection and help understand the mechanism of resistance to VNN. Future studies should use populations of large effective size and whole genome resequencing to identify more useful genetic variants.
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Affiliation(s)
- Le Wang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Peng Liu
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Shuqing Huang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Baoqing Ye
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Elaine Chua
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Zi Yi Wan
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Gen Hua Yue
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.
- Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore.
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.
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22
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Doan QK, Vandeputte M, Chatain B, Morin T, Allal F. Viral encephalopathy and retinopathy in aquaculture: a review. JOURNAL OF FISH DISEASES 2017; 40:717-742. [PMID: 27633881 DOI: 10.1111/jfd.12541] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Revised: 06/23/2016] [Accepted: 06/27/2016] [Indexed: 05/22/2023]
Abstract
Viral encephalopathy and retinopathy (VER), otherwise known as viral nervous necrosis (VNN), is a major devastating threat for aquatic animals. Betanodaviruses have been isolated in at least 70 aquatic animal species in marine and in freshwater environments throughout the world, with the notable exception of South America. In this review, the main features of betanodavirus, including its diversity, its distribution and its transmission modes in fish, are firstly presented. Then, the existing diagnosis and detection methods, as well as the different control procedures of this disease, are reviewed. Finally, the potential of selective breeding, including both conventional and genomic selection, as an opportunity to obtain resistant commercial populations, is examined.
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Affiliation(s)
- Q K Doan
- Ifremer, UMR 9190 MARBEC, Palavas-les-Flots, France
- TNU, Thai Nguyen University of Agriculture and Forestry (TUAF), Quyet Thang Commune, Thai Nguyen City, Vietnam
| | - M Vandeputte
- Ifremer, UMR 9190 MARBEC, Palavas-les-Flots, France
- INRA, GABI, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - B Chatain
- Ifremer, UMR 9190 MARBEC, Palavas-les-Flots, France
| | - T Morin
- Anses, Ploufragan-Plouzané Laboratory, Unit Viral Diseases of Fish, Plouzané, France
| | - F Allal
- Ifremer, UMR 9190 MARBEC, Palavas-les-Flots, France
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Abdelrahman H, ElHady M, Alcivar-Warren A, Allen S, Al-Tobasei R, Bao L, Beck B, Blackburn H, Bosworth B, Buchanan J, Chappell J, Daniels W, Dong S, Dunham R, Durland E, Elaswad A, Gomez-Chiarri M, Gosh K, Guo X, Hackett P, Hanson T, Hedgecock D, Howard T, Holland L, Jackson M, Jin Y, Khalil K, Kocher T, Leeds T, Li N, Lindsey L, Liu S, Liu Z, Martin K, Novriadi R, Odin R, Palti Y, Peatman E, Proestou D, Qin G, Reading B, Rexroad C, Roberts S, Salem M, Severin A, Shi H, Shoemaker C, Stiles S, Tan S, Tang KFJ, Thongda W, Tiersch T, Tomasso J, Prabowo WT, Vallejo R, van der Steen H, Vo K, Waldbieser G, Wang H, Wang X, Xiang J, Yang Y, Yant R, Yuan Z, Zeng Q, Zhou T. Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research. BMC Genomics 2017; 18:191. [PMID: 28219347 PMCID: PMC5319170 DOI: 10.1186/s12864-017-3557-1] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 02/06/2017] [Indexed: 12/31/2022] Open
Abstract
Advancing the production efficiency and profitability of aquaculture is dependent upon the ability to utilize a diverse array of genetic resources. The ultimate goals of aquaculture genomics, genetics and breeding research are to enhance aquaculture production efficiency, sustainability, product quality, and profitability in support of the commercial sector and for the benefit of consumers. In order to achieve these goals, it is important to understand the genomic structure and organization of aquaculture species, and their genomic and phenomic variations, as well as the genetic basis of traits and their interrelationships. In addition, it is also important to understand the mechanisms of regulation and evolutionary conservation at the levels of genome, transcriptome, proteome, epigenome, and systems biology. With genomic information and information between the genomes and phenomes, technologies for marker/causal mutation-assisted selection, genome selection, and genome editing can be developed for applications in aquaculture. A set of genomic tools and resources must be made available including reference genome sequences and their annotations (including coding and non-coding regulatory elements), genome-wide polymorphic markers, efficient genotyping platforms, high-density and high-resolution linkage maps, and transcriptome resources including non-coding transcripts. Genomic and genetic control of important performance and production traits, such as disease resistance, feed conversion efficiency, growth rate, processing yield, behaviour, reproductive characteristics, and tolerance to environmental stressors like low dissolved oxygen, high or low water temperature and salinity, must be understood. QTL need to be identified, validated across strains, lines and populations, and their mechanisms of control understood. Causal gene(s) need to be identified. Genetic and epigenetic regulation of important aquaculture traits need to be determined, and technologies for marker-assisted selection, causal gene/mutation-assisted selection, genome selection, and genome editing using CRISPR and other technologies must be developed, demonstrated with applicability, and application to aquaculture industries.Major progress has been made in aquaculture genomics for dozens of fish and shellfish species including the development of genetic linkage maps, physical maps, microarrays, single nucleotide polymorphism (SNP) arrays, transcriptome databases and various stages of genome reference sequences. This paper provides a general review of the current status, challenges and future research needs of aquaculture genomics, genetics, and breeding, with a focus on major aquaculture species in the United States: catfish, rainbow trout, Atlantic salmon, tilapia, striped bass, oysters, and shrimp. While the overall research priorities and the practical goals are similar across various aquaculture species, the current status in each species should dictate the next priority areas within the species. This paper is an output of the USDA Workshop for Aquaculture Genomics, Genetics, and Breeding held in late March 2016 in Auburn, Alabama, with participants from all parts of the United States.
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Affiliation(s)
- Hisham Abdelrahman
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Mohamed ElHady
- Department of Biological Sciences, Auburn University, Auburn, AL, 36849, USA
| | | | - Standish Allen
- Aquaculture Genetics & Breeding Technology Center, Virginia Institute of Marine Science, Gloucester Point, VA, 23062, USA
| | - Rafet Al-Tobasei
- Department of Biology, Middle Tennessee State University, Murfreesboro, TN, 37132, USA
| | - Lisui Bao
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Ben Beck
- Aquatic Animal Health Research Unit, USDA-ARS, 990 Wire Road, Auburn, AL, 36832, USA
| | - Harvey Blackburn
- USDA-ARS-NL Wheat & Corn Collections at a Glance GRP, National Animal Germplasm Program, 1111 S. Mason St., Fort Collins, CO, 80521-4500, USA
| | - Brian Bosworth
- USDA-ARS/CGRU, 141 Experimental Station Road, Stoneville, MS, 38701, USA
| | - John Buchanan
- Center for Aquaculture Technologies, 8395 Camino Santa Fe, Suite E, San Diego, CA, 92121, USA
| | - Jesse Chappell
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - William Daniels
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Sheng Dong
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Rex Dunham
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Evan Durland
- Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR, 97331, USA
| | - Ahmed Elaswad
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Marta Gomez-Chiarri
- Department of Fisheries, Animal & Veterinary Science, 134 Woodward Hall, 9 East Alumni Avenue, Kingston, RI, 02881, USA
| | - Kamal Gosh
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Ximing Guo
- Haskin Shellfish Research Laboratory, Department of Marine and Coastal Sciences, Rutgers University, 6959 Miller Avenue, Port Norris, NJ, 08349, USA
| | - Perry Hackett
- Department of Genetics, Cell Biology and Development, 5-108 MCB, 420 Washington Avenue SE, Minneapolis, MN, 55455, USA
| | - Terry Hanson
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Dennis Hedgecock
- Department of Biological Sciences, University of Southern California, Los Angeles, CA, 90089-0371, USA
| | - Tiffany Howard
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Leigh Holland
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Molly Jackson
- Taylor Shellfish Farms, 130 SE Lynch RD, Shelton, WA, 98584, USA
| | - Yulin Jin
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Karim Khalil
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Thomas Kocher
- Department of Biology, University of Maryland, 2132 Biosciences Research Building, College Park, MD, 20742, USA
| | - Tim Leeds
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA
| | - Ning Li
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Lauren Lindsey
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Shikai Liu
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Zhanjiang Liu
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
| | - Kyle Martin
- Troutlodge, 27090 Us Highway 12, Naches, WA, 98937, USA
| | - Romi Novriadi
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Ramjie Odin
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Yniv Palti
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA
| | - Eric Peatman
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Dina Proestou
- USDA ARS NEA NCWMAC Shellfish Genetics at the University Rhode Island, 469 CBLS, 120 Flagg Road, Kingston, RI, 02881, USA
| | - Guyu Qin
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Benjamin Reading
- Department of Applied Ecology, North Carolina State University, Raleigh, NC, 27695-7617, USA
| | - Caird Rexroad
- USDA ARS Office of National Programs, George Washington Carver Center Room 4-2106, 5601 Sunnyside Avenue, Beltsville, MD, 20705, USA
| | - Steven Roberts
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, 98105, USA
| | - Mohamed Salem
- Department of Biology, Middle Tennessee State University, Murfreesboro, TN, 37132, USA
| | - Andrew Severin
- Genome Informatics Facility, Office of Biotechnology, Iowa State University, Ames, IA, 50011, USA
| | - Huitong Shi
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Craig Shoemaker
- Aquatic Animal Health Research Unit, USDA-ARS, 990 Wire Road, Auburn, AL, 36832, USA
| | - Sheila Stiles
- USDOC/NOAA, National Marine Fisheries Service, NEFSC, Milford Laboratory, Milford, Connectcut, 06460, USA
| | - Suxu Tan
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Kathy F J Tang
- School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, 85721, USA
| | - Wilawan Thongda
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Terrence Tiersch
- Aquatic Germplasm and Genetic Resources Center, School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA, 70820, USA
| | - Joseph Tomasso
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Wendy Tri Prabowo
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Roger Vallejo
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, 25430, USA
| | | | - Khoi Vo
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Geoff Waldbieser
- USDA-ARS/CGRU, 141 Experimental Station Road, Stoneville, MS, 38701, USA
| | - Hanping Wang
- Aquaculture Genetics and Breeding Laboratory, The Ohio State University South Centers, Piketon, OH, 45661, USA
| | - Xiaozhu Wang
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Jianhai Xiang
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Yujia Yang
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Roger Yant
- Hybrid Catfish Company, 1233 Montgomery Drive, Inverness, MS, 38753, USA
| | - Zihao Yuan
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Qifan Zeng
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Tao Zhou
- School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
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Liu P, Wang L, Ye BQ, Huang S, Wong SM, Yue GH. Characterization of a novel disease resistance gene rtp3 and its association with VNN disease resistance in Asian seabass. FISH & SHELLFISH IMMUNOLOGY 2017; 61:61-67. [PMID: 27989862 DOI: 10.1016/j.fsi.2016.12.021] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 12/09/2016] [Accepted: 12/15/2016] [Indexed: 06/06/2023]
Abstract
Asian seabass, an important food fish in Southeast Asia, has suffered from nervous necrosis virus (NNV) infection, resulting in massive mortality of Asian seabass larvae and enormous economic losses. Identification and characterization of disease resistance genes is important. Previous transcriptome analysis of Asians seabass epithelial cells after NNV infection revealed a highly inducible gene, receptor-transporting protein 3 (rtp3), indicating it could play an important role in Asian seabass - NNV interaction. To characterize this gene, we determined its expression pattern and subcellular localization. The rtp3 was highly induced in most examined tissues and organs of Asian seabass after NNV infection, and protein Rtp3 was localized in cytoplasm. Further association study in multiple families revealed that a microsatellite marker, (GT)ntt(GT)n, in the 3' UTR of rtp3 was significantly associated with VNN disease resistance in Asian seabass. Our results imply that rtp3 may be a novel disease resistance gene in Asian seabass. This data could improve our understanding of molecular interaction between Asian seabass and NNV, and has the potential to be applied in marker-assisted selection for disease resistance breeding in Asian seabass.
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Affiliation(s)
- Peng Liu
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543 Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore
| | - Le Wang
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore
| | - Bao Qing Ye
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore
| | - Shuqing Huang
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore
| | - Sek-Man Wong
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543 Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore; National University of Singapore Suzhou Research Institute, Suzhou, Jiangsu, 215123 China.
| | - Gen Hua Yue
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543 Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604 Singapore; School of Biological Sciences, Nanyang Technological University, 6 Nanyang Drive, 637551 Singapore.
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25
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Wang L, Bai B, Liu P, Huang SQ, Wan ZY, Chua E, Ye B, Yue GH. Construction of high-resolution recombination maps in Asian seabass. BMC Genomics 2017; 18:63. [PMID: 28068919 PMCID: PMC5223582 DOI: 10.1186/s12864-016-3462-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 12/22/2016] [Indexed: 11/17/2022] Open
Abstract
Background A high-density genetic map is essential for de novo genome assembly, fine mapping QTL for important complex traits, comparative genomic studies and understanding the mechanisms of genome evolution. Although a number of genomic resources are available in Asian seabass (Lates calcarifer), a high-density linkage map is still lacking. To facilitate QTL mapping for marker-assisted selection and genome assembly, and to understand the genome-wide recombination rates, we constructed high density linkage maps using three families and genotyping by sequencing. Results A high-density consensus linkage map consisting of 8, 274 markers was constructed based on sex-averaged genetic maps. The genetic maps were then aligned and integrated with the current genome assembly of Asian seabass. More than 90% of the genome contig sequences were anchored onto the consensus genetic map. Evidence of assembly errors in the current genome assembly was identified. A fragment of up to 2.5 Mb belonging to LG14 was assembled into Chr15. The length of family-specific sex-averaged maps ranged from 1348.96 to 1624.65 cM. Female maps were slightly longer than male maps using common markers. Female-to-male ratios were highly variable both across chromosomes within each family and throughout three families for each chromosome. However, the distribution patterns of recombination along chromosomes were similar between sexes across the whole genome. The overall recombination rates were significantly correlated with genome-wide GC content and the correlations were revealed to be stronger in females than in males. Conclusions These high-density genetic maps provide not only essential tools for facilitating de novo genome assembly and comparative genomic studies in teleosts, but also critical resources for fine mapping QTL and genome-wide association mapping for economically important traits in Asian seabass. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3462-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Le Wang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Bin Bai
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Peng Liu
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.,Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore
| | - Shu Qing Huang
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Zi Yi Wan
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore.,School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore
| | - Elaine Chua
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Baoqing Ye
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore
| | - Gen Hua Yue
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore, 117604, Singapore. .,Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore, 117543, Singapore. .,School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Singapore.
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26
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Liu X, Xia J, Pang H, Yue G. Who eats whom, when and why? Juvenile cannibalism in fish Asian seabass. AQUACULTURE AND FISHERIES 2017. [DOI: 10.1016/j.aaf.2016.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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27
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GWAS analysis of QTL for enteric septicemia of catfish and their involved genes suggest evolutionary conservation of a molecular mechanism of disease resistance. Mol Genet Genomics 2016; 292:231-242. [DOI: 10.1007/s00438-016-1269-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 11/01/2016] [Indexed: 10/20/2022]
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28
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Shen X, Ngoh SY, Thevasagayam NM, Prakki SRS, Bhandare P, Tan AWK, Tan GQ, Singh S, Phua NCH, Vij S, Orbán L. BAC-pool sequencing and analysis confirms growth-associated QTLs in the Asian seabass genome. Sci Rep 2016; 6:36647. [PMID: 27821852 PMCID: PMC5099610 DOI: 10.1038/srep36647] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 10/19/2016] [Indexed: 12/31/2022] Open
Abstract
The Asian seabass is an important marine food fish that has been cultured for several decades in Asia Pacific. However, the lack of a high quality reference genome has hampered efforts to improve its selective breeding. A 3D BAC pool set generated in this study was screened using 22 SSR markers located on linkage group 2 which contains a growth-related QTL region. Seventy-two clones corresponding to 22 FPC contigs were sequenced by Illumina MiSeq technology. We co-assembled the MiSeq-derived scaffolds from each FPC contig with error-corrected PacBio reads, resulting in 187 sequences covering 9.7 Mb. Eleven genes annotated within this region were found to be potentially associated with growth and their tissue-specific expression was investigated. Correlation analysis demonstrated that SNPs in ctsb, skp1 and ppp2ca can be potentially used as markers for selecting fast-growing fingerlings. Conserved syntenies between seabass LG2 and five other teleosts were identified. This study i) provided a 10 Mb targeted genome assembly; ii) demonstrated NGS of BAC pools as a potential approach for mining candidates underlying QTLs of this species; iii) detected eleven genes potentially responsible for growth in the QTL region; and iv) identified useful SNP markers for selective breeding programs of Asian seabass.
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Affiliation(s)
- Xueyan Shen
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore
| | - Si Yan Ngoh
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore.,Nanyang Technological University, 639798 Singapore
| | | | | | - Pranjali Bhandare
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore
| | - Andy Wee Kiat Tan
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore
| | - Gui Quan Tan
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore
| | | | | | - Shubha Vij
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore
| | - László Orbán
- Reproductive Genomics Group, Temasek Life Sciences Laboratory, 117604 Singapore.,Department of Animal Sciences and Animal Husbandry, Georgikon Faculty, University of Pannonia, 8360 Keszthely, Hungary.,Centre for Comparative Genomics, Murdoch University, Murdoch 6150, Australia
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Fine mapping QTL for resistance to VNN disease using a high-density linkage map in Asian seabass. Sci Rep 2016; 6:32122. [PMID: 27555039 PMCID: PMC4995370 DOI: 10.1038/srep32122] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 08/02/2016] [Indexed: 12/30/2022] Open
Abstract
Asian seabass has suffered from viral nervous necrosis (VNN) disease. Our previous study has mapped quantitative trait loci (QTL) for resistance to VNN disease. To fine map these QTL and identify causative genes, we identified 6425 single nucleotide polymorphisms (SNPs) from 85 dead and 94 surviving individuals. Combined with 155 microsatellites, we constructed a genetic map consisting of 24 linkage groups (LGs) containing 3000 markers, with an average interval of 1.27 cM. We mapped one significant and three suggestive QTL with phenotypic variation explained (PVE) of 8.3 to 11.0%, two significant and two suggestive QTL with PVE of 7.8 to 10.9%, for resistance in three LGs and survival time in four LGs, respectively. Further analysis one QTL with the largest effect identified protocadherin alpha-C 2-like (Pcdhac2) as the possible candidate gene. Association study in 43 families with 1127 individuals revealed a 6 bp insertion-deletion was significantly associated with disease resistance. qRT-PCR showed the expression of Pcdhac2 was significantly induced in the brain, muscle and skin after nervous necrosis virus (NNV) infection. Our results could facilitate marker-assisted selection (MAS) for resistance to NNV in Asian seabass and set up the basis for functional analysis of the potential causative gene for resistance.
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30
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Liu P, Wang L, Kwang J, Yue GH, Wong SM. Transcriptome analysis of genes responding to NNV infection in Asian seabass epithelial cells. FISH & SHELLFISH IMMUNOLOGY 2016; 54:342-52. [PMID: 27109582 DOI: 10.1016/j.fsi.2016.04.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 04/20/2016] [Accepted: 04/20/2016] [Indexed: 05/07/2023]
Abstract
Asian seabass is an important food fish in Southeast Asia. Viral nervous necrosis (VNN) disease, triggered by nervous necrosis virus (NNV) infection, has caused mass mortality of Asian seabass larvae, resulting in enormous economic losses in the Asian seabass industry. In order to better understand the complex molecular interaction between Asian seabass and NNV, we investigated the transcriptome profiles of Asian seabass epithelial cells, which play an essential role in immune regulation, after NNV infection. Using the next generation sequencing (NGS) technology, we sequenced mRNA from eight samples (6, 12, 24, 48 h post-inoculation) of mock and NNV-infected Asian seabass epithelial cell line, respectively. Clean reads were de novo assembled into a transcriptome consisting of 89026 transcripts with a N50 of 2617 bp. Furthermore, 251 differentially expressed genes (DEGs) in response to NNV infection were identified. Top DEGs include protein asteroid homolog 1-like (ASTE1), receptor-transporting protein 3 (RTP3), heat shock proteins 30 (HSP30) and 70 (HSP70), Viperin, interferon regulatory factor 3 (IRF3) and other genes related to innate immunity. Our data suggest that abundant and diverse genes corresponding to NNV infection. The results of this study could also offer vital information not only for identification of novel genes involved in Asian seabass-NNV interaction, but also for our understanding of the molecular mechanism of Asian seabass' response to viral infection. In addition, 24807 simple sequence repeats (SSRs) were detected in the assembled transcriptome, providing valuable resources for studying genetic variations and accelerating quantitative trait loci (QTL) mapping for disease resistance in Asian seabass in the future.
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Affiliation(s)
- Peng Liu
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore
| | - Le Wang
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore
| | - Jimmy Kwang
- Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore
| | - Gen Hua Yue
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore; School of Biological Sciences, Nanyang Technological University, 6 Nanyang Drive, 637551, Singapore.
| | - Sek-Man Wong
- Department of Biological Sciences, National University of Singapore, 14 Science Drive, 117543, Singapore; Temasek Life Sciences Laboratory, National University of Singapore, 1 Research Link, 117604, Singapore; National University of Singapore Suzhou Research Institute, Suzhou, Jiangsu, 215123, China.
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