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Langille BL, Juárez M, Prieto N, Boison S, Lim PS, Swift BD, Garber AF. Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar). BMC Genomics 2024; 25:1208. [PMID: 39695999 DOI: 10.1186/s12864-024-11131-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 12/05/2024] [Indexed: 12/20/2024] Open
Abstract
Fatty acids are a requirement for normal development, however, since humans are unable to de novo produce essential fatty acids, they must be obtained from diet. Atlantic salmon is a major dietary source of nutritious and digestible fatty acids. Here, we set out to uncover the genomic basis of individual fatty acids and indices (saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n-3, and n-6) in 208 North American Atlantic salmon, to understand selection potential toward increasing relative quantities of essential fatty acids and to identify candidate genes for future research. Total n-6 (pro-inflammatory) was higher than total n-3 (anti-inflammatory) fatty acids with a ratio of 1 : 1.31 (n-3 : n-6). Heritability of fatty acids ranged from 0 to 0.99, however, most fatty acids and indices had moderate to high heritabilities (ranged from 0.20 to 0.88), implying that selection for improvement of traits could be possible. We found the same significant markers on chromosome 23 (based on false discovery rate thresholds of 2.0e-6 and suggestive significant thresholds of 2.0e-5 in Manhattan plots) in four fatty acids (γ-linoleic acid, stearidonic acid, dihimo-γ-linolenic acid, and eicosatrienoic acid), where three genes (sin3b, acbd6, and fads2) are known to be involved in lipid metabolism. These genes, fads2 in particular, would all make ideal candidates for future functional studies. In addition, there were four fatty acids with loci over the suggestive significant threshold with a variety of markers on different chromosomes (lauric acid, stearic acid, eicosatetraenoic acid (ETA), and docosadienoic acid), with associated genes that had relevant functions to fatty acids or adipose cells in general.
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Affiliation(s)
- Barbara L Langille
- The Huntsman Marine Science Centre, 1 Lower Campus Rd., St. Andrews, NB E5B 2L7, Canada.
| | - Manuel Juárez
- Agriculture and Agri-Food Canada Lacombe Research and Development Centre, 6000 C and E Trail, Lacombe, AB T4L 1W1, Canada
| | - Nuria Prieto
- Agriculture and Agri-Food Canada Lacombe Research and Development Centre, 6000 C and E Trail, Lacombe, AB T4L 1W1, Canada
| | - Solomon Boison
- Mowi Genetics AS, Sandviksbodene 77A, Bergen, 5035, Norway
| | - Panya Sae Lim
- Mowi Genetics AS, Sandviksbodene 77A, Bergen, 5035, Norway
| | - Bruce D Swift
- Tri-Gen Fish Improvement Ltd., Site 13 Comp 27 RR1, Lacombe, AB, T4L 2N1, Canada
| | - Amber F Garber
- The Huntsman Marine Science Centre, 1 Lower Campus Rd., St. Andrews, NB E5B 2L7, Canada
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Kho KH, Sukhan ZP, Hossen S, Cho Y, Lee WK, Nou IS. Age-Dependent Growth-Related QTL Variations in Pacific Abalone, Haliotis discus hannai. Int J Mol Sci 2023; 24:13388. [PMID: 37686194 PMCID: PMC10488178 DOI: 10.3390/ijms241713388] [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: 07/26/2023] [Revised: 08/09/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Pacific abalone is a high-value, commercially important marine invertebrate. It shows low growth as well as individual and yearly growth variation in aquaculture. Marker-assisted selection breeding could potentially resolve the problem of low and variable growth and increase genetic gain. Expression of quantitative trait loci (QTLs) for growth-related traits, viz., body weight, shell length, and shell width were analyzed at the first, second, and third year of age using an F1 cross population. A total of 37 chromosome-wide QTLs were identified in linkage groups 01, 02, 03, 04, 06, 07, 08, 10, 11, 12, and 13 at different ages. None of the QTLs detected at any one age were expressed in all three age groups. This result suggests that growth-related traits at different ages are influenced by different QTLs in each year. However, multiple-trait QTLs (where one QTL affects all three traits) were detected each year that are also age-specific. Eleven multiple-trait QTLs were detected at different ages: two QTLs in the first year; two QTLs in the second year; and seven QTLs in the third year. As abalone hatcheries use three-year-old abalone for breeding, QTL-linked markers that were detected at the third year of age could potentially be used in marker-assisted selection breeding programs.
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Affiliation(s)
- Kang Hee Kho
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Zahid Parvez Sukhan
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Shaharior Hossen
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Yusin Cho
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Won-Kyo Lee
- Department of Fisheries Science, Chonnam National University, Yeosu 59626, Republic of Korea; (Z.P.S.); (S.H.); (Y.C.); (W.-K.L.)
| | - Ill-Sup Nou
- Department of Horticulture, Sunchon National University, Suncheon 57922, Republic of Korea;
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Huervana FH, Dionela CS, de la Torre EDS, del Castillo CS, Traifalgar RFM. Utilization of marine diatom Thalassiosira weissflogii as a feed additive in seawater-tolerant Nile tilapia (Oreochromis niloticus, Linnaeus 1758) strain. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2022. [DOI: 10.3389/fsufs.2022.1052951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The low omega-3 content of tilapia flesh, when compared to marine fish, affects its marketability. In marine animals, the highly unsaturated fatty acids (HUFAs) can be linked to the oil produced by marine diatoms. Among the marine diatoms, the genus Thalassiosira is known to exhibit high content of HUFAs such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Thus, in this study, the use of marine diatom Thalassiosira weissflogii as a dietary additive in the seawater-tolerant Nile Tilapia strain was evaluated. One hundred ninety-two, 1.40 ± 0.05g seawater tilapia were randomly allocated into 4 treatment groups in 4 replicates. The first treatment group was fed with a control diet (D0), without the diatoms while treatments 1, 2, and 3 were each fed with diets supplemented with T. weissflogii paste at 2.55% (D1), 6% (D2), and 12% (D3), respectively for 60 days. The diets were isonitrogenous, isolipodic and the omega-3 and omega-6 requirements were satisfied. Results demonstrated that D1 had the highest percent weight gain among treatments. Although not significantly different, other parameters such as percent survival, specific growth rate (SGR), protein efficiency ratio (PER), feed conversion ratio (FCR), and feed intake had desirable results in D1. The proximate composition of seawater tilapia showed that % crude protein was highest in D0 but % crude lipid was highest in D1. The fatty acid composition of tilapia in D1 had the highest omega-3 content at 9.29 mg/g tissue and also had the highest n3:n6 at 2.19. Muscle growth-related genes (MyoD and MYG) were up-regulated while liver genes involved in long-chain polyunsaturated fatty acid synthesis (oni-fads2 and elvol5) were down-regulated in D1 as compared to D0. Feeding the diatom-supplemented diet to tilapia had no significant effects on hepatic cells and intestinal morphology. The results suggested that a 2.55% supplementation dose of T. weissflogii could promote growth and enhance the tissue content of omega-3 fatty acids of the seawater strain Oreochromis niloticus.
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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: 0.3] [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: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Blay C, Haffray P, D'Ambrosio J, Prado E, Dechamp N, Nazabal V, Bugeon J, Enez F, Causeur D, Eklouh-Molinier C, Petit V, Phocas F, Corraze G, Dupont-Nivet M. Genetic architecture and genomic selection of fatty acid composition predicted by Raman spectroscopy in rainbow trout. BMC Genomics 2021; 22:788. [PMID: 34732127 PMCID: PMC8564959 DOI: 10.1186/s12864-021-08062-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 09/29/2021] [Indexed: 01/22/2023] Open
Abstract
Background In response to major challenges regarding the supply and sustainability of marine ingredients in aquafeeds, the aquaculture industry has made a large-scale shift toward plant-based substitutions for fish oil and fish meal. But, this also led to lower levels of healthful n−3 long-chain polyunsaturated fatty acids (PUFAs)—especially eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids—in flesh. One potential solution is to select fish with better abilities to retain or synthesise PUFAs, to increase the efficiency of aquaculture and promote the production of healthier fish products. To this end, we aimed i) to estimate the genetic variability in fatty acid (FA) composition in visceral fat quantified by Raman spectroscopy, with respect to both individual FAs and groups under a feeding regime with limited n-3 PUFAs; ii) to study the genetic and phenotypic correlations between FAs and processing yields- and fat-related traits; iii) to detect QTLs associated with FA composition and identify candidate genes; and iv) to assess the efficiency of genomic selection compared to pedigree-based BLUP selection. Results Proportions of the various FAs in fish were indirectly estimated using Raman scattering spectroscopy. Fish were genotyped using the 57 K SNP Axiom™ Trout Genotyping Array. Following quality control, the final analysis contained 29,652 SNPs from 1382 fish. Heritability estimates for traits ranged from 0.03 ± 0.03 (n-3 PUFAs) to 0.24 ± 0.05 (n-6 PUFAs), confirming the potential for genomic selection. n-3 PUFAs are positively correlated to a decrease in fat deposition in the fillet and in the viscera but negatively correlated to body weight. This highlights the potential interest to combine selection on FA and against fat deposition to improve nutritional merit of aquaculture products. Several QTLs were identified for FA composition, containing multiple candidate genes with indirect links to FA metabolism. In particular, one region on Omy1 was associated with n-6 PUFAs, monounsaturated FAs, linoleic acid, and EPA, while a region on Omy7 had effects on n-6 PUFAs, EPA, and linoleic acid. When we compared the effectiveness of breeding programmes based on genomic selection (using a reference population of 1000 individuals related to selection candidates) or on pedigree-based selection, we found that the former yielded increases in selection accuracy of 12 to 120% depending on the FA trait. Conclusion This study reveals the polygenic genetic architecture for FA composition in rainbow trout and confirms that genomic selection has potential to improve EPA and DHA proportions in aquaculture species. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-08062-7.
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Affiliation(s)
- Carole Blay
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | | | - Jonathan D'Ambrosio
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France.,SYSAAF, Station LPGP-INRAE, Rennes, France
| | - Enora Prado
- University of Rennes, CNRS, ISCR - UMR 6226, ScanMAT - UMS 2001, Rennes, France
| | - Nicolas Dechamp
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Virginie Nazabal
- University of Rennes, CNRS, ISCR - UMR 6226, ScanMAT - UMS 2001, Rennes, France
| | | | | | - David Causeur
- Laboratoire de Mathématiques Appliquées, IRMAR, Agrocampus Ouest, Rennes, France
| | | | | | - Florence Phocas
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Geneviève Corraze
- INRAE, University of Pau & Pays Adour, E2S UPPA, UMR1419 NuMéA, St Pée sur, Nivelle, France
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Twining CW, Bernhardt JR, Derry AM, Hudson CM, Ishikawa A, Kabeya N, Kainz MJ, Kitano J, Kowarik C, Ladd SN, Leal MC, Scharnweber K, Shipley JR, Matthews B. The evolutionary ecology of fatty-acid variation: Implications for consumer adaptation and diversification. Ecol Lett 2021; 24:1709-1731. [PMID: 34114320 DOI: 10.1111/ele.13771] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 12/20/2021] [Accepted: 04/09/2021] [Indexed: 12/20/2022]
Abstract
The nutritional diversity of resources can affect the adaptive evolution of consumer metabolism and consumer diversification. The omega-3 long-chain polyunsaturated fatty acids eicosapentaenoic acid (EPA; 20:5n-3) and docosahexaenoic acid (DHA; 22:6n-3) have a high potential to affect consumer fitness, through their widespread effects on reproduction, growth and survival. However, few studies consider the evolution of fatty acid metabolism within an ecological context. In this review, we first document the extensive diversity in both primary producer and consumer fatty acid distributions amongst major ecosystems, between habitats and amongst species within habitats. We highlight some of the key nutritional contrasts that can shape behavioural and/or metabolic adaptation in consumers, discussing how consumers can evolve in response to the spatial, seasonal and community-level variation of resource quality. We propose a hierarchical trait-based approach for studying the evolution of consumers' metabolic networks and review the evolutionary genetic mechanisms underpinning consumer adaptation to EPA and DHA distributions. In doing so, we consider how the metabolic traits of consumers are hierarchically structured, from cell membrane function to maternal investment, and have strongly environment-dependent expression. Finally, we conclude with an outlook on how studying the metabolic adaptation of consumers within the context of nutritional landscapes can open up new opportunities for understanding evolutionary diversification.
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Affiliation(s)
- Cornelia W Twining
- Max Planck Institute of Animal Behavior, Radolfzell, Germany.,Limnological Institute, University of Konstanz, Konstanz-Egg, Germany
| | - Joey R Bernhardt
- Department of Biology, McGill University, Montréal, QC, Canada.,Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Alison M Derry
- Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, Canada
| | - Cameron M Hudson
- Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Asano Ishikawa
- Ecological Genetics Laboratory, National Institute of Genetics, Shizuoka, Japan
| | - Naoki Kabeya
- Department of Marine Biosciences, Tokyo University of Marine Science and Technology (TUMSAT, Tokyo, Japan
| | - Martin J Kainz
- WasserCluster Lunz-Inter-university Center for Aquatic Ecosystems Research, Lunz am See, Austria
| | - Jun Kitano
- Ecological Genetics Laboratory, National Institute of Genetics, Shizuoka, Japan
| | - Carmen Kowarik
- Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Sarah Nemiah Ladd
- Ecosystem Physiology, Albert-Ludwigs-University of Freiburg, Freiburg, Germany
| | - Miguel C Leal
- ECOMARE and CESAM - Centre for Environmental and Marine Studies and Department of Biology, University of Aveiro, Aveiro, Portugal
| | - Kristin Scharnweber
- Department of Ecology and Genetics; Limnology, Uppsala University, Uppsala, Sweden.,University of Potsdam, Plant Ecology and Nature Conservation, Potsdam-Golm, Germany
| | - Jeremy R Shipley
- Max Planck Institute of Animal Behavior, Radolfzell, Germany.,Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
| | - Blake Matthews
- Department of Fish Ecology and Evolution, Eawag, Center of Ecology, Evolution and Biochemistry, Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
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Genome-Wide Marker Analysis for Traits of Economic Importance in Asian Seabass Lates calcarifer. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2021. [DOI: 10.3390/jmse9030282] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
To date, it is not known whether animal breeding values in Asian seabass (Lates calcarifer) can be estimated using single nucleotide polymorphisms (SNPs) generated from new high-throughput genotyping by sequencing platforms. The principal aim of the present study was to assess the genomic prediction accuracy for growth traits, survival, cannibalism, and disease resistance against Streptococcus iniae in this species L. calcarifer. Additionally, this study attempted to identify markers associated with the five traits studied as well as to understand if the genotype data can be used to estimate genetic parameters for these complex traits. The genomic best linear unbiased prediction (gBLUP) method was used to analyze 11,084 SNPs and showed that the prediction accuracies for growth traits (weight and length) were high (0.67–0.75). By contrast, these estimates for survival were low (0.25). Multi-locus mixed model analyses identified four SNPs significantly associated with body weight (p < 5 × 10−8 or −log10 p ≥ 5). There were, however, no significant associations detected for other traits. Similarly, the SNP heritability was moderate, while the estimates for other traits were approximated to zero and not significant. Genetic correlations between body weight and standard length were close to unity. Collectively, the results obtained from this study suggest that genotyping by sequencing platforms can provide informative DNA markers to conduct genome-wide association analysis, estimation of genetic parameters, and evaluation of genomic prediction accuracy for complex traits in Asian seabass.
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Wei J, Chen Y, Wang W. A High-Density Genetic Linkage Map and QTL Mapping for Sex and Growth-Related Traits of Large-Scale Loach ( Paramisgurnus dabryanus). Front Genet 2019; 10:1023. [PMID: 31708968 PMCID: PMC6823184 DOI: 10.3389/fgene.2019.01023] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 09/24/2019] [Indexed: 12/30/2022] Open
Abstract
Large-scale loach (Paramisgurnus dabryanus) is a commercially important species in East Asia; however, the cultured population that exhibited degradation of germplasm resource cannot meet the market needs, and the genome resources for P. dabryanus are still lacking. In this study, the first high-density genetic map of P. dabryanus was constructed using 15,830 SNP markers based on high-throughput sequencing with an improved SLAF-seq strategy. The quantitative trait locus (QTL) mapping for sex, growth, and morphology traits was performed for the first time. The genetic map spanned 4,657.64 cM in length with an average inter-marker distance of 0.30 cM. QTL mapping and association analysis identified eight QTLs of growth traits, nine QTLs of morphology traits, and five QTLs of sex-related traits, respectively. Interestingly, the most significant QTLs for almost all the traits were concentrated on the same linkage group LG11. Seven candidate markers and 12 potentially key genes, which were associated with sex determination and growth, were identified within the overlapped QTL regions on LG11. Further, the first genome survey analysis of P. dabryanus was performed which represents the first step toward fully decoding the P. dabryanus genome. The genome scaffolds were anchored to the high-density linkage map, spanning 960.27 Mb of P. dabryanus reference genome. The collinearity analysis revealed a high level of collinearity between the genetic map and the reference genome of P. dabryanus. Moreover, a certain degree of homology was observed between large-scale loach and zebrafish using comparative genomic analysis. The constructed high-density genetic map was an important basis for QTL fine mapping, genome assembly, and genome comparison. The present study will provide a valuable resource for future marker-assisted breeding, and further genetic and genomic researches in P. dabryanus.
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Affiliation(s)
- Jin Wei
- Key Lab of Agricultural Animal Genetics, College of Fisheries, Breeding and Reproduction of Ministry of Education/Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Yuanyuan Chen
- Key Lab of Agricultural Animal Genetics, College of Fisheries, Breeding and Reproduction of Ministry of Education/Key Lab of Freshwater Animal Breeding, Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China
| | - Weimin Wang
- College of Fisheries, Huazhong Agricultural University, Wuhan, China
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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: 1.0] [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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11
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Meng J, Song K, Li C, Liu S, Shi R, Li B, Wang T, Li A, Que H, Li L, Zhang G. Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network. BMC Genomics 2019; 20:625. [PMID: 31366319 PMCID: PMC6670154 DOI: 10.1186/s12864-019-5971-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 07/11/2019] [Indexed: 02/07/2023] Open
Abstract
Background Oyster is rich in glycogen and free amino acids and is called “the milk of sea”. To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world-wide scale. Results After association analysis, 168 clustered significant single nucleotide polymorphism (SNP) loci were identified for glycogen content and 17 SNPs were verified with 288 oyster individuals in another wide populations. These were the most important candidate loci for oyster breeding. Among 24 genes in the 100-kb regions of the leading SNP loci, cytochrome P450 17A1 (CYP17A1) contained a non-synonymous SNP and displayed higher expressions in high glycogen content individuals. This might enhance the gluconeogenesis process by the transcriptionally regulating the expression of phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G6Pase). Also, for amino acids content, 417 clustered significant SNPs were identified. After genetic network analysis, three node SNP regions were identified to be associated with glycogen, protein, and Asp content, which might explain their significant correlation. Conclusion Overall, this study provides insights into the genetic correlation among complex traits, which will facilitate future oyster functional studies and breeding through molecular design. Electronic supplementary material The online version of this article (10.1186/s12864-019-5971-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jie Meng
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Kai Song
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Chunyan Li
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Sheng Liu
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Ruihui Shi
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Busu Li
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Ting Wang
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Ao Li
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Huayong Que
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China.,Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, Shandong, China.,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China.,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
| | - Li Li
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China. .,Laboratory for Marine Fisheries and Aquaculture, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, Shandong, China. .,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China. .,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
| | - Guofan Zhang
- Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, Shandong, China. .,Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266071, Shandong, China. .,National & Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, 266071, Shandong, China. .,Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China.
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12
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Wang W, Tan S, Luo J, Shi H, Zhou T, Yang Y, Jin Y, Wang X, Niu D, Yuan Z, Gao D, Dunham R, Liu Z. GWAS Analysis Indicated Importance of NF-κB Signaling Pathway in Host Resistance Against Motile Aeromonas Septicemia Disease in Catfish. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2019; 21:335-347. [PMID: 30895402 DOI: 10.1007/s10126-019-09883-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 02/18/2019] [Indexed: 06/09/2023]
Abstract
Motile Aeromonas septicemia (MAS) disease caused by a bacterial pathogen, Aeromonas hydrophila, is an emerging but severe disease of catfish. Genetic enhancement of disease resistance is considered to be effective to control the disease. To provide an insight into the genomic basis of MAS disease resistance, in this study, we conducted a genome-wide association study (GWAS) to identify quantitative trait loci (QTL). A total of 1820 interspecific backcross catfish of 7 families were challenged with A. hydrophila, and 382 phenotypic extremes were selected for genotyping with the catfish 690 K SNP arrays. Three QTL on linkage group (LG) 2, 26 and 29 were identified to be significantly associated with MAS resistance. Within these regions, a total of 24 genes had known functions in immunity, 10 of which were involved in NF-κB signaling pathway, suggesting the importance of NF-κB signaling pathway in MAS resistance. In addition, three suggestively significant QTL were identified on LG 11, 17, and 20. The limited numbers of QTL involved in MAS resistance suggests that marker-assisted selection may be a viable approach for catfish breeding.
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Affiliation(s)
- Wenwen Wang
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Suxu Tan
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Jian Luo
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Huitong Shi
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Tao Zhou
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Yujia Yang
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Yulin Jin
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Xiaozhu Wang
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Donghong Niu
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Zihao Yuan
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Dongya Gao
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Rex Dunham
- The Fish Molecular Genetics and Biotechnology Laboratory, School of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Zhanjiang Liu
- Department of Biology, College of Art and Sciences, Syracuse University, Syracuse, NY, 13244, USA.
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13
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Zhang H, Xu P, Jiang Y, Zhao Z, Feng J, Tai R, Dong C, Xu J. Genomic, Transcriptomic, and Epigenomic Features Differentiate Genes That Are Relevant for Muscular Polyunsaturated Fatty Acids in the Common Carp. Front Genet 2019; 10:217. [PMID: 30930941 PMCID: PMC6428711 DOI: 10.3389/fgene.2019.00217] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 02/27/2019] [Indexed: 12/15/2022] Open
Abstract
Polyunsaturated fatty acids (PUFAs) are a set of important nutrients that mainly include arachidonic acid (ARA4), docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and α-linolenic acid (ALA). Recently, fish-derived PUFAs have been associated with cardiovascular health, fetal development, and improvement of brain functions. Studies have shown that fish muscular tissues are rich in PUFAs, which are influenced by various factors, including genetic variations, regulatory profiles, and methylation status of desaturase genes during fatty acid desaturation and elongation processes. However, the genetic mechanism and the pathways involved in fatty acid metabolism in fishes remain unclear. The overall aim of this study was to assess differences in gene expression responses among fishes with different fatty acid levels. To achieve this goal, we conducted genome-wide association analysis (GWAS) using a 250K SNP array in a population of 203 samples of common carp (Cyprinus carpio) and identified nine SNPs and 15 genes associated with muscular PUFA content. Then, RNA-Seq and whole genome bisulfite sequencing (WGBS) of different groups with high and low EPA, DHA, ARA4, and ALA contents in muscle, liver and brain tissues were conducted, resulting in 6,750 differentially expressed genes and 5,631 genes with differentially methylated promoters. Gene ontology and KEGG pathway enrichment analyses of RNA-Seq and WGBS results identified enriched pathways for fatty acid metabolism, which included the adipocytokine signaling pathway, ARA4 and linoleic acid metabolism pathway, and insulin signaling pathway. Integrated analysis indicated significant correlations between gene expression and methylation status among groups with high and low PUFA contents in muscular tissues. Taken together, these multi-level results uncovered candidate genes and pathways that are associated with fatty acid metabolism and paved the way for further genomic selection and carp breeding for PUFA traits.
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Affiliation(s)
- Hanyuan Zhang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
| | - Peng Xu
- Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen University, Xiamen, China
| | - Yanliang Jiang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
| | - Zixia Zhao
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
| | - Jianxin Feng
- Henan Academy of Fishery Science, Zhengzhou, China
| | - Ruyu Tai
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
| | - Chuanju Dong
- College of Fishery, Henan Normal University, Xinxiang, China
| | - Jian Xu
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
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14
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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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15
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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: 0.4] [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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16
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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: 0.6] [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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17
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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: 45] [Impact Index Per Article: 5.6] [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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18
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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: 86] [Impact Index Per Article: 10.8] [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: 18] [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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20
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Zheng X, Kuang Y, Lv W, Cao D, Sun Z, Sun X. Genome-Wide Association Study for Muscle Fat Content and Abdominal Fat Traits in Common Carp (Cyprinus carpio). PLoS One 2016; 11:e0169127. [PMID: 28030623 PMCID: PMC5193488 DOI: 10.1371/journal.pone.0169127] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Accepted: 12/12/2016] [Indexed: 12/24/2022] Open
Abstract
Muscle fat content is an important phenotypic trait in fish, as it affects the nutritional, technical and sensory qualities of flesh. To identify loci and candidate genes associated with muscle fat content and abdominal fat traits, we performed a genome-wide association study (GWAS) using the common carp 250 K SNP assay in a common carp F2 resource population. A total of 18 loci surpassing the genome-wide suggestive significance level were detected for 4 traits: fat content in dorsal muscle (MFdo), fat content in abdominal muscle (MFab), abdominal fat weight (AbFW), and AbFW as a percentage of eviscerated weight (AbFP). Among them, one SNP (carp089419) affecting both AbFW and AbFP reached the genome-wide significance level. Ten of those loci were harbored in or near known genes. Furthermore, relative expressions of 5 genes related to MFdo were compared using dorsal muscle samples with high and low phenotypic values. The results showed that 4 genes were differentially expressed between the high and low phenotypic groups. These genes are, therefore, prospective candidate genes for muscle fat content: ankyrin repeat domain 10a (ankrd10a), tetratricopeptide repeat, ankyrin repeat and coiled-coil containing 2 (tanc2), and four jointed box 1 (fjx1) and choline kinase alpha (chka). These results offer valuable insights into the complex genetic basis of fat metabolism and deposition.
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Affiliation(s)
- Xianhu Zheng
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
| | - Youyi Kuang
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
| | - Weihua Lv
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
- College of Life Science, Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Dingchen Cao
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
| | - Zhipeng Sun
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
| | - Xiaowen Sun
- National & Local United Engineering Laboratory of Freshwater Fish Breeding, Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin, Heilongjiang, China
- * E-mail:
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21
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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: 0.2] [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: 22] [Impact Index Per Article: 2.4] [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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Ma K, Liao M, Liu F, Ye B, Sun F, Yue GH. Charactering the ZFAND3 gene mapped in the sex-determining locus in hybrid tilapia (Oreochromis spp.). Sci Rep 2016; 6:25471. [PMID: 27137111 PMCID: PMC4853787 DOI: 10.1038/srep25471] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/18/2016] [Indexed: 01/01/2023] Open
Abstract
Zinc finger AN1-type domain 3 (ZFAND3) is essential for spermatogenesis in mice. However, its function in teleosts remains unclear. In this study, we characterized the ZFAND3 gene (termed as OsZFAND3) in an important food fish, tilapia. The OsZFAND3 cDNA sequence is 1,050 bp in length, containing an ORF of 615 bp, which encodes a putative peptide of 204 amino acid residues. Quantitative real-time PCR revealed that the OsZFAND3 transcripts were exclusively expressed in the testis and ovary. In situ hybridization showed that the high expression of OsZFAND3 transcripts was predominantly localized in the spermatocyte and spermatid. These results suggest that OsZFAND3 is involved in male germ cell maturation. Three single nucleotide polymorphisms (SNPs) were detected in the introns of OsZFAND3. The OsZFAND3 gene was mapped in the sex-determining locus on linkage group 1 (LG1). The three SNPs in the OsZFAND3 gene were strictly associated with sex phenotype, suggesting that the OsZFAND3 gene is tightly linked to the sex-determining locus. Our study provides new insights into the functions of the OsZFAND3 gene in tilapia and a foundation for further detailed analysis of the OsZFAND3 gene in sex determination and differentiation.
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Affiliation(s)
- Keyi Ma
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore
| | - Minghui Liao
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore
| | - Feng Liu
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore
| | - Baoqing Ye
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore
| | - Fei Sun
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore
| | - Gen Hua Yue
- Molecular Population Genetics and Breeding Group, Temasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604, Republic of Singapore.,Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Republic of Singapore.,School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Republic of Singapore
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24
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Liu P, Wang L, Wan ZY, Ye BQ, Huang S, Wong SM, Yue GH. Mapping QTL for Resistance Against Viral Nervous Necrosis Disease in Asian Seabass. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2016; 18:107-116. [PMID: 26475147 DOI: 10.1007/s10126-015-9672-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 09/17/2015] [Indexed: 06/05/2023]
Abstract
Viral nervous necrosis disease (VNN), caused by nervous necrosis virus (NNV), leads to mass mortality in mariculture. However, phenotypic selection for resistance against VNN is very difficult. To facilitate marker-assisted selection (MAS) for resistance against VNN and understanding of the genetic architecture underlying the resistance against this disease, we mapped quantitative trait loci (QTL) for resistance against VNN in Asian seabass. We challenged fingerlings at 37 days post-hatching (dph), from a single back-cross family, with NNV at a concentration of 9 × 10(6) TCID50/ml for 2 h. Daily mortalities were recorded and collected. A panel of 330 mortalities and 190 surviving fingerlings was genotyped using 149 microsatellites with 145 successfully mapped markers covering 24 linkage groups (LGs). Analysis of QTL for both resistance against VNN and survival time was conducted using interval mapping. Five significant QTL located in four LGs and eight suggestive QTL in seven LGs were identified for resistance. Another five significant QTL in three LGs and five suggestive QTL in three LGs were detected for survival time. One significant QTL, spanning 3 cM in LG20, was identified for both resistance and survival time. These QTL explained 2.2-4.1% of the phenotypic variance for resistance and 2.2-3.3% of the phenotypic variance for survival time, respectively. Our results suggest that VNN resistance in Asian seabass is controlled by many loci with small effects. Our data provide information for fine mapping of QTL and identification of candidate genes for a better understanding of the mechanism of disease resistance.
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25
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Molecular characterization and mapping of Fgf21 gene in a foodfish species asian seabass. PLoS One 2014; 9:e90172. [PMID: 24587261 PMCID: PMC3937445 DOI: 10.1371/journal.pone.0090172] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Accepted: 01/28/2014] [Indexed: 11/19/2022] Open
Abstract
Fgf21 is a newly discovered fibroblast growth factor. It is typically induced by fasting and plays important roles in the regulation of glucose and lipid metabolisms and energy balance in mammals, whereas potential functions of this gene in teleosts are still unknown. We identified the Fgf21 gene and studied its functions in Asian seabass (Lates calcarifer). The cDNA of the Fgf21 encoded a protein with 206 amino acids. Analysis of DNA and amino acid sequences of Fgf21 genes revealed that the sequences and structure of the Fgf21 genes were highly conserved in vertebrates. Real-time PCR revealed that Fgf21 was exclusively expressed in the intestine and kidney, which was different from the expression profiles of mammals. Fgf21 was down-regulated under fasting, whereas it was significantly increased during the LPS challenge. Exogenous recombinant FGF21 significantly suppressed the appetite of Asian seabass. Our data suggest that Fgf21 plays a role in energy regulation and acute phase response in Asian seabass, and may have different functions in fish and mammals. In addition, we identified one SNP in Fgf21. By using this SNP, the gene was mapped on the linkage group 23, where a suggestive QTL for growth was mapped previously. Association mapping identified significant associations between Fgf21 genotypes at the SNP and growth traits. These results not only provide important information of the functions of Fgf21, but also suggest that the SNP in this gene can be used as a marker in selecting fast-growing individuals of Asian seabass.
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