An estimation of genetic parameters of growth traits in juvenile turbot (Scophthalmus maximus L.) using parental molecular relatedness
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- 作者：Yulong Hu ; Jiantao Guan ; Yu Ma ; Jie Kong ; Weiji Wang
- 刊名：Acta Oceanologica Sinica
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：35
- 期：2
- 页码：126-130
- 全文大小：238 KB
- 参考文献：Atkin F C, Dieters M J, Stringer K J. 2009. Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program. Theoretical and Applied Genetics, 119(3): 555–565CrossRef
Blonk R J W, Komen H, Kamstra A, et al. 2010. Estimating breeding values with molecular relatedness and reconstructed pedigrees in natural mating populations of common sole, Solea Solea. Genetics, 184(1): 213–219CrossRef
Burgueño J, de los Campos G, Weige K, et al. 2012. Genomic prediction of breeding values when modeling genotype×environment interaction using pedigree and dense molecular markers. Crop Science, 52(2): 707–719CrossRef
Crossa J, de los Campos G, Pérez P, et al. 2010. Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers. Genetics, 186(2): 713–724CrossRef
Crow J F, Kimura M. 1970. An Introduction to Population Genetics Theory. New York: Harper and Row, 134
Daetwyler H D, Swan A A, van der Werf J H J, et al. 2012. Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi
eed sheep data assessed by cross-validation. Genetics Selection Evolution, 44(1): 33–43CrossRef
Falconer D S, Mackay T F C. 1996. Introduction to Quantitative Genetics. 4th ed. Essex, England: Pearson Education Limited, 464
Gheyas A A, Woolliams J A, Taggart J B, et al. 2009. Heritability estimation of silver carp (Hypophthalmichthys molitrix) harvest traits using microsatellite based parentage assignment. Aquaculture, 294(3–4): 187–193CrossRef
Gilmour A R, Gogel B J, Cullis B R, et al. 2009. ASReml User Guide Release 3.0. Hemel Hempstead, UK: VSN International Ltd
Gjerde B, RØer J E, Lein I, et al. 1997. Heritability for body weight in farmed turbot. Aquaculture International, 5(2): 175–178
Hayes B, Goddard M. 2010. Genome-wide association and genomic selection in animal breeding. Genome, 53(11): 876–883CrossRef
Henderson C R. 1984. Estimation of variances and covariances under multiple trait models. Journal of Dairy Science, 67(7): 1581–1589CrossRef
Legarra A, Robert-Granié C, Manfredi E, et al. 2008. Performance of genomic selection in mice. Genetics, 180(1): 611–618CrossRef
Lei Jilin, Liu Xinfu, Guan Changtao. 2012. Turbot culture in China for two decades: achievements and prospect. Progress in Fishery Sciences (in Chinese), 33(4): 123–130
Liu Baosuo, Zhang Tianshi, Kong Jie, et al. 2011. 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, Wang Xinan, Lei Jilin. 2009. Genetic parameterization for turbot Scophthalmus maximus: implication to breeding strategy. Oceanologia et Limnologia Sinica (in Chinese), 40(2): 187–194
Mas-Muñoz J, Blonk R, Schrama J W, et al. 2013. Genotype by environment interaction for growth of sole (Solea solea) reared in an intensive aquaculture system and in a semi-natural environment. Aquaculture, 410–411): 230–235CrossRef
Meuwissen T H E, Hayes B J, Goddard M E. 2001. Prediction of total genetic value using genome-wide dense Marker Maps. Genetics, 157(4): 1819–1829
Nguyen T T T, Hayes B J, Ingram B A. 2013. Genetic parameters and response to selection in blue mussel (Mytilus galloprovincialis) using a SNP-based pedigree. Aquaculture, 420–421): 295–301
Oliehoek P A, Windig J J, van Arendonk J A M, et al. 2006. Estimating relatedness between Individuals in general populations with a focus on Their use in conservation programs. Genetics, 173(1): 483–496CrossRef
Plum M. 1954. Computation of inbreeding and relationship coefficients. The Journal of heredity, 45(1): 92–94
R Core Team. 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
Rodríguez-Ramilo S T, Toro M Á, Martínez P, et al. 2007. Accuracy of pairwise methods in the reconstruction of family relationships, using molecular information from turbot (Scophthalmus maximus). Aquaculture, 273(4): 434–442CrossRef
Ruan Xiaohong, Wang Weiji, Kong Jie, et al. 2010. Genetic linkage mapping of turbot (Scophthalmus maximus L.) using microsatellite markers and its application in QTL analysis. Aquaculture, 308(3–4): 89–100CrossRef
Van Kleunen M, Ritland K. 2005. Estimating heritabilities and genetic correlations with marker-based methods: An experimental test in Mimulus guttatus. Journal of Heredity, 96(4): 368–375CrossRef
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): 223–226CrossRef
Wang Jinliang. 2007. Triadic IBD coefficients and applications to estimating pairwise relatedness. Genetical research, 89(3): 135–153CrossRef
Wang Jinliang. 2011. COANCESTRY: A program for simulating, estimating and analysing relatedness and inbreeding coefficients. Molecular Ecology Resources, 11(1): 141–145CrossRef
Zhang Qingwen, Kong Jie, Luan Sheng, et al. 2008. Estimation of genetic parameters for three economic traits in 25 d turbot fry. Marine Fisheries Research (in Chinese), 29(3): 53–56
Jiantao Guan (1) (2)
Yu Ma (1)
Jie Kong (1)
Weiji Wang (1)
1. Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
2. College of Marine Life, Ocean University of China, Qingdao, 266003, China
文摘
The estimation of genetic parameters has played an important role in animal selective breeding for growth traits. Recently studies show that molecular markers can be incorporated into genetic evaluations. In order to improve the performance of an incomplete pedigree (i.e, only parents are known) in the genetic evaluations, 12 microsatellite markers have been applied in the estimation of the genetic parameters for body weight in a farmed population (n=1 890) of juvenile turbot (Scophthalmus maximus L.). A new relatedness called parental molecular relatedness (PMR) is estimated based on results of genotyping of 48 parents (31 males, 17 females) with microsatellites markers. The feasibility of PMR in estimation of genetic parameters is verified by comparison with pedigree related (PR) which is obtained from a complete pedigree. The results demonstrate that a high correlation (0.872) between them is found. Heritabilities are estimated using the PMR (0.52±0.13) and PR (0.55±0.22) with the same animal model. A cross-validation shows that the predictive abilities of models using the PMR and the PR are identical (0.81). From that, a conclusion can be made that PMR and PR predicted genetic values equally well in a population of juvenile turbot. Therefore PMR can be applied as an alternative of the PR when only parents are known. However, for a better performance, more markers and more families should be included in a further study.