Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot <i>Scophthalmus maximus</i> using the Bayesian method based on Gibbs sampling

MA Aijun; WANG Xin'an; HUANG Zhihui; LIU Zhifeng; CUI Wenxiao; QU Jiangbo

doi:10.1007/s13131-018-1185-5

基于Gibbs抽样的贝叶斯方法估计大菱鲆生长和耐高温性状的遗传参数

doi: 10.1007/s13131-018-1185-5

1.
中国水产科学研究院黄海水产研究所, 农业部海洋渔业可持续发展重点实验室, 青岛市海水鱼类种子工程与生物技术重点实验室, 山东青岛 266071;青岛海洋科学与技术国家实验室, 海洋生物学与生物技术功能实验室, 山东青岛 266071
2.
烟台天源水产有限公司, 山东烟台 264003

基金项目: The Earmarked Fund for Modern Agro-Industry Technology Research System under contract No. CARS-47-G01; the AoShan Talents Cultivation Program supported by Qingdao National Laboratory for Marine Science and Technology under contract No. 2017ASTCP-OS04; the Key Research and Development Plan of Shandong under contract No. 2016GSF115019; the Agricultural Fine Breed Project of Shandong under contract No. 2016LZGC031; Chinese Acdemy of Fishery Sciences Basal Research Fund under contract No. 2016HY-JC0301; the Special Financial Grant from the China Postdoctoral Science Foundation under contract No. 2016T90661.

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- 收稿日期: 2017-08-09
- 修回日期: 2017-12-12

Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling

1.
Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences;Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture;Qingdao Key Laboratory for Marine Fish Breeding and Biotechnology, Qingdao 266071, China;Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China
2.
Yantai Tianyuan Aquatic Limited Corporation, Yantai 264003, China

摘要

摘要: 为了开展大菱鲆耐高温选育工作，对其进行耐高温性状及其相关生长性状的遗传评估是非常必要的。以来源于英国、法国、丹麦和挪威4个国家的不同群体构建大菱鲆选育家系，利用F₁的20个和F₂的22个耐高温选育家系进行耐高温实验，统计耐高温评估指标（UTT）和相应的实验鱼体重（每个家系选取40-50尾实验鱼）。基于Gibbs抽样的贝叶斯方法，采用包含母性效应和不包含母性效应的两种动物模型，对大菱鲆耐高温（UTT）和生长性状的遗传力以及这两个性状间的遗传相关和表型相关进行分析。结果表明，基于不包含母性效应的动物模型估计的体重和耐高温性状的遗传力以及这两个性状之间的表型相关和遗传相关分别为0.239±0.141,0.111±0.080,0.075±0.026和-0.019±0.011。基于包含母性效应的动物模型估计的这4个值分别为0.203±0.115,0.055±0.026,0.047±0.034和-0.024±0.028,体重和耐高温性状的母性效应分别为0.050±0.017和0.013±0.004。母性效应对这两个性状的遗传评估有一定的影响。本文的研究结论为制订合理的大菱鲆耐高温育种规划提供了理论依据。
- 遗传力 /
- 遗传相关 /
- 耐高温 /
- 体重 /
- 大菱鲆 /
- 贝叶斯推断
Abstract: In order to carry out the genetic improvement of turbot upper thermal tolerance, it is necessary to estimate the genetic parameters of UTT (upper thermal tolerance) and growth-related traits. The objective of this study was to estimate genetic parameters for BW (body weight) and UTT in a two-generational turbot (Scophthalmus maximus L.) pedigree derived from four imported turbot stocks (England, France, Denmark and Norway). A total of 42 families including 20 families from G₁ generation and 22 families from G₂ generation were used to test upper thermal tolerance (40-50 animals per family) in this study and the body weight of individuals were measured. The heritability of BW and UTT and the correlation between these two traits were estimated based on an individual animal model using Bayesian method based on two types of animal models with and without maternal effects. These results showed that the heritabilities for BW and UTT and phenotypic and genetic correlations between the two traits estimated from model without maternal effects were 0.239±0.141, 0.111±0.080, 0.075±0.026 and -0.019±0.011, respectively. The corresponding values from model with maternal effects were 0.203±0.115, 0.055±0.026, 0.047±0.034 and -0.024±0.028, respectively. The maternal effects of BW and UTT were 0.050±0.017 and 0.013±0.004, respectively. The maternal effects had a certain influence on the genetic evaluation of the two traits. The findings of this paper provided the necessary background to determine the best selection strategy to be adopted in the genetic improvement program.
- heritability /
- genetic correlation /
- thermotolerance /
- body weight /
- Turbot /
- Bayesian inference

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参考文献(39)

Beitinger T L, Bennett W A, McCauley R W. 2000. Temperature tolerances of North American freshwater fishes exposed to dynamic changes in temperature. Environmental Biology of Fishes, 58(3):237-275

Blonk R J W, Komen H, Kamstra A, et al. 2010. Effects of grading on heritability estimates under commercial conditions:a case study with common sole, Solea solea. Aquaculture, 300(1-4):43-49

Cardellino R, Rovira J. 1987. Mejoramiento Genético Animal (in Spanish). Buenos Aires:Hemisferio Sur, 253

De Faria C U, De Ulhôa Magnabosco C, De Los Reyes A, et al. 2007. Bayesian inference in a quantitative genetic study of growth traits in Nelore cattle (Bos indicus). Genetics and Molecular Biology, 30(3):545-551

Dominguez M, Takemura A, Tsuchiya M, et al. 2004. Impact of different environmental factors on the circulating immunoglobulin levels in the Nile tilapia, Oreochromis niloticus. Aquaculture, 241(1-4):491-500

Dong Zaijie, Nguyen N H, Zhu Wenbin. 2015. Genetic evaluation of a selective breeding program for common carp Cyprinus carpio conducted from 2004 to 2014. BMC Genetics, 16:94

Fu Jianjun, Shen Yubang, Xu Xiaoyan, et al. 2015. Genetic parameter estimates and genotype by environment interaction analyses for early growth traits in grass carp (Ctenopharyngodon idella). Aquaculture International, 23(6):1427-1441

Gianola D, Fernando R L. 1986. Bayesian methods in animal breeding theory. Journal of Animal Science, 63(1):217-224

Guan Jiantao, Wang Weiji, Luan Sheng, et al. 2016. Estimation of genetic parameters for early growth trait of turbot (Scophthalmus maximus L.) using molecular relatedness. Aquaculture Research, 47(7):2205-2214

Hartley H O, Rao J N K. 1967. Maximum-likelihood estimation for the mixed analysis of variance model. Biometrika, 54(1-2):93-108

Harville D A. 1974. Bayesian inference for variance components using only error contrasts. Biometrika, 61(2):383-385

Hoeschele I. 1989. A note on local maxima in maximum likelihood, restricted maximum likelihood, and Baysian estimation of variance components. Journal of Statistical Computation and Simulation, 33(3):149-160

Jensen J, Mäntysaari E A, Madsen P, et al. 1997. Residual maximum likelihood estimation of (co) variance components in multivariate mixed linear models using average information. Journal of the Indian Society of Agricultural Statistics, 49:215-236

Liu Feng, Li Yangzhen, Du Min, et al. 2016a. Analysis of phenotypic and genetic parameters for growthrelated traits in the half smooth tongue sole, Cynoglossus semilaevis. Chinese Journal of Oceanology and Limnology, 34(1):163-169

Liu F, Li Y Z, Wang X X, et al. 2016b. Estimation of genetic parameters for disease-resistance traits in Cynoglossus semilaevis (Günther, 1873). Journal of Applied Ichthyoloy, 32(4):643-651

Liu Yongxin, Sun Zhaohui, Wang Yufen, et al. 2015. Genetic analysis for main length ratio associated with morphological traits in Japanese flounder Paralichthys olivaceus. Journal of Fish Biology, 86(3):1129-1138

Liu Yongxin, Wang Guixing, Wang Yufen, et al. 2011a. Estimation of genetic parameters for growth traits of Japanese flounder Paralichthys olivaceus using an animal model. Fisheries Science, 77(1):87-93

Liu Feng, Yang Yingming, Li Yangzhen, et al. 2016c. Phenotypic and genetic parameter estimation of juvenile growth and bottom color traits in half-smooth tongue sole, Cynoglossus semilaevis. Acta Oceanologica Sinica, 35(10):83-87

Liu Baosuo, Zhang Tianshi, Kong Jie, et al. 2011b. Estimation of genetic parameters for growth and upper thermal tolerance traits in turbot Scophthalmus maximus. Journal of Fisheries of China (in Chinese), 35(11):1601-1606

Ma Aijun, Huang Zhihui, Wang Xian, et al. 2012. The selective breeding of thermal tolerance family and appraisal of performance in turbot Scophthalmus maximus. Oceanologia et Limnologia Sinica (in Chinese), 43(4):797-804

Narinc D, Karaman K, Aksoy T. 2010. Estimation of genetic parameters for carcass traits in Japanese quail using Bayesian methods. South African Journal of Animal Science, 40(4):342-347

Nielsen H M, Ødegård J, Olesen I, et al. 2010. Genetic analysis of common carp (Cyprinus carpio) strains:I. genetic parameters and heterosis for growth traits and survival. Aquaculture, 304(1-4):14-21

Ninh N H, Ponzoni R W, Nguyen N H, et al. 2011. A comparison of communal and separate rearing of families in selective breeding of common carp (Cyprinus carpio):estimation of genetic parameters. Aquaculture, 322-323:39-46

Norusis N. 2009. SPSS 13.0 Guide to Data Analysis. Prentice Hall International, 49(7):397-400

Patterson H D, Thompson R. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika, 58(3):545-554

Perry G M L, Martyniuk C M, Ferguson M M, et al. 2005. Genetic parameters for upper thermal tolerance and growth-related traits in rainbow trout (Oncorhynchus mykiss). Aquaculture, 250(1-2):120-128

Rao C R. 1971. Estimation of variance and covariance components- MINQUE theory. Journal of Multivariate Analysis, 1(3):257-275

Rye M, Lillevik K M, Gjerde B. 1990. Survival in early life of Atlantic salmon and rainbow trout:estimates of heritabilities and genetic correlations. Aquaculture, 89(3-4):209-216

Sun Miaomiao, Huang Jianhua, Jiang Shigui, et al. 2015. Estimates of heritability and genetic correlations for growth-related traits in the tiger prawn Penaeus monodon. Aquaculture Research, 46(6):1363-1368

Swallow W H, Searle S R. 1978. Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of variance components. Technometrics, 20(3):265-272

Tian Yongsheng, Xu Tianjun, Liang You, et al. 2011. Estimates of genetic and phenotypic parameters for weight and length in Paralichthys olivaceus (Temminck et Schlegel). Acta Oceanologica Sinica, 30(6):58-64

Vandeputte M, Kocour M, Mauger S, et al. 2004. Heritability estimates for growth-related traits using microsatellite parentage assignment in juvenile common carp (Cyprinus carpio L.). Aquaculture, 235(1-4):223-236

Wang Hongxia, Chai Xueliang, Liu Baozhong. 2011. Estimation of genetic parameters for growth traits in cultured clam Meretrix meretrix (Bivalvia:Veneridae) using the Bayesian method based on Gibbs sampling. Aquaculture Research, 42(2):240-247

Wang Xin'an, Ma Aijun. 2016. Comparison of four nonlinear growth models for effective exploration of growth characteristics of turbot Scophthalmus maximus fish strain. African Journal of Biotechnology, 15(40):2251-2258

Wang Xin'an, Ma Aijun, Huang Zhihui, et al. 2010. Heritability and genetic correlation of survival in turbot (Scophthalmus maximus). Chinese Journal of Oceanology and Limnology, 28(6):1200-1205

Wang Xin'an, Ma Aijun, Huang Zhihui, et al. 2014. Developmental differences between female and male groups in turbot (Scophthalmus maximus) breeding families. Journal of Fisheries of China (in Chinese), 38(4):464-470

Wang Xin'an, Ma Aijun, Ma Deyou. 2015. Developmental quantitative genetic analysis of body weights and morphological traits in the turbot, Scophthalmus maximus. Acta Oceanologica Sinica, 34(2):55-62

Xu Liyong, Wang Weiji, Kong Jie, et al. 2015. Estimates of heritability and correlation for growth traits of Turbot (Scophthalmus maximus L.) under low temperature conditions. Acta Oceanologica Sinica, 34(2):63-67

Zhang Tianshi, Kong Jie, Liu Baosuo, et al. 2014. Genetic parameter estimation for juvenile growth and upper thermal tolerance in turbot (Scophthalmus maximus Linnaeus). Acta Oceanologica Sinica, 33(8):106-110

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基于Gibbs抽样的贝叶斯方法估计大菱鲆生长和耐高温性状的遗传参数

doi: 10.1007/s13131-018-1185-5

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出版历程

Estimation of genetic parameters for upper thermal tolerance and growth-related traits in turbot Scophthalmus maximus using the Bayesian method based on Gibbs sampling

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出版历程

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