Developmental quantitative genetic analysis of body weights and morphological traits in the turbot, Scophthalmus maximus
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摘要: 采用可以估算不同发育时期基因累加效应和特定发育时期净遗传效应的遗传模型和统计分析方法, 研究大菱鲆体重、全长、体长、体高4个数量性状的发育遗传规律.结果表明,4个性状的非条件加性效应的表达大多较非条件显性效应表达更为显著,但控制4个数量性状的基因在整个发育期并非持续稳定的表达,基因加性效应与显性效应交替表达的动态行为在体重、全长、体长3个性状中非常突出.条件分析的结果表明,体重、全长、体长、体高的生长活跃期分别约为15-18月龄、15月龄和21-24月龄、15月龄和24月龄、21月龄和27月龄.非条件、条件遗传方差分量比率分析结果表明,从整体上看,除体高的非条件加性方差比率,即狭义遗传力呈稍微下降的趋势外,体重、全长、体长的狭义遗传力均呈上升趋势.控制4个性状表现的基因累加效应均以加性效应为主,通过选择育种的方法进行遗传改良可以取得良好的育种效果.Abstract: In order to elucidate the genetic mechanism of growth traits in turbot during ontogeny, developmental genetic analysis of the body weights, total lengths, standard lengths and body heights of turbots was conducted by mixed genetic models with additive-dominance effects, based on complete diallel crosses with four different strains of Scophthalmus maximus from Denmark, Norway, Britain, and France. Unconditional genetic analysis revealed that the unconditional additive effects for the four traits were more significant than unconditional dominance effects, meanwhile, the alternative expressions were also observed between the additive and dominant effects for body weights, total lengths and standard lengths. Conditional analysis showed that the developmental periods with active gene expression for body weights, total lengths, standard lengths and body heights were 15-18, 15 and 21-24, 15 and 24, and 21 and 27 months of age, respectively. The proportions of unconditional/conditional variances indicated that the narrow-sense heritabilities of body weights, total lengths and standard lengths were all increased systematically. The accumulative effects of genes controlling the four quantitative traits were mainly additive effects, suggesting that the selection is more efficient for the genetic improvement of turbots. The conditional genetic procedure is a useful tool to understand the expression of genes controlling developmental quantitative traits at a specific developmental period (t-1→t) during ontogeny. It is also important to determine the appropriate developmental period (t-1→t) for trait measurement in developmental quantitative genetic analysis in fish.
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Key words:
- Turbot (Scophthalmus maximus L.) /
- growth /
- developmental genetics /
- genetic effect
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Atchley W R. 1984. Ontogeny, timing of development, and genetic variance-covariances structure. Am Nat, 123(4): 519-540 Atchley W R. 1987. Developmental quantitative genetics and the evol-ution of ontogenies. Evolution, 41(2): 316-330 Atchley W R, Hall B K. 1991. A model for development and evolution of complex morphological structure. Biol Rev, 66(2): 101-157 Atchley W R, Logsdon T, Cowley D E, et al. 1991. Uterine effects, epig-enetics, and postnatal skeletal development in the mouse. Evolution, 45(4): 891-909 Atchley W R, Xu Shizhong, Vogl C. 1994. Developmental quantitative genetic models of evolutionary change. Dev Genet, 15(1): 92-103 Atchley W R, Zhu Jun. 1997. Developmental quantitative genetics, conditional epigenetic variability and growth in mice. Genetics, 147(2): 765-776 Cowley D E, Atchley W R. 1992. Quantitative genetic models for devel-opment, epigenetic selection, and phenotypic evolution. Evoluti-on, 46(2): 495-518 Gjerde B, Røer J E, Lein I, et al. 1997. Heritability for body weight in farmed turbot. Aquacult Int, 5(2): 175-178 Liu Baosuo, Zhang Tianshi, Kong Jie, et al. 2011. Estimation of genetic parameters for growth and upper thermal tolerance traits in turbot Scophthalmus maximus. J Fish Chin (in Chinese), 35(11): 1601-1605 Ma Aijun, Chen Chao, Lei Jilin, et al. 2006. Turbot Scophthalmus max- imus: stocking density on growth, pigmentation and feed convers- ion. Chin J Oceanol Limn, 24(3): 307-312 Ma Aajun, 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 Ma Aijun, Wang Xinan, Yang Zhi, et al. 2008. The growth traits and their heritability of young turbot (Scophthalmus maximus L.). Oceanologia et Limnologia Sinica (in Chinese), 39(5): 499-504 Miller R G. 1974. The jackknife: a review. Biometrika, 61(1): 1-15 Rao C R. 1970. Estimation of heteroscedastic variances in linear mod-els. J Am Stat Assoc, 65(329): 161-172 Rao C R. 1971. Estimation of variance and covariance components-MINQUE theory. J Multivar Anal, 1(3): 257-275 Ruan Xiaohong, Wang Weiji, Kong Jie, et al. 2011. Isolation and analy-sis of microsatellites in the genome of turbot (Scophthalmus maxi-mus L.). Afr J Biotechnol, 10(4): 507-518 Shi Chunhai, Wu Jianguo, Fan Longjiang, et al. 2001. Developmental genetic analysis of brown rice weight under different environmen-tal conditions in indica rice. Acta Bot Sin (in Chinese), 43(6): 603-609 Shi Chunhai, Wu Jianguo, Lou Xiaobo, et al. 2002. Genetic analysis of transparency and chalkiness area at different filling stages of rice (Oryza sativa L.). Field Crops Res, 76(1): 1-9 Wang Chenghui, Li Sifa, Liu Zhiguo, et al. 2006. Developmental quan-titative genetic analysis of body weight and morphological traits in red common carp, Cyprinus carpio L.. Aquaculture, 251(2-4): 219-230 Wang Xinan, Ma Aijun, Huang Zhihui, et al. 2010. Heritability and ge-netic correlation of survival in turbot (Scophthalmus maximus).Chin J Oceanol Limn, 28(6): 1200-1205 Wang Xinan, Ma Aijun, Huang Zhihui, et al. 2011. Growth patterns of selectively bred turbot Scophthalmus maximus. Oceanologia et Limnologia Sinica (in Chinese), 42(2): 266-273 Zhang Qingwen, Kong Jie, Luan Sheng, et al. 2008. Estimation of gen-etic parameters for three economic traits in 25 d turbot fry. Mar Fish Res (in Chinese), 29(3): 53-56 Zhu Jun. 1993. Methods of predicting genotype value and heterosis for offspring of hybrids. J Biomath, 8(1): 32-44 Zhu Jun. 1995. Analysis of conditional genetic effects and variance components in developmental genetics. Genetics, 141(4): 1633-1639 Zhu Jun. 1997. Analysis Method for Genetic Models (in Chinese). Bei-jing: China Agricultural Press, 56-87 Zhu Jun, Weir B S. 1996. Mixed model approaches for diallel analysis based on a bio-model. Genet Res, 68(3): 233-240
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