Khaw Hooi Ling, Ponzoni Raul W, Bijma Piter
Animal Breeding and Genomics Centre, Wageningen University, De Elst 1, 6708WD Wageningen, The Netherlands.
Genet Sel Evol. 2014 Jun 24;46(1):39. doi: 10.1186/1297-9686-46-39.
Social interactions often occur among living organisms, including aquatic animals. There is empirical evidence showing that social interactions may genetically affect phenotypes of individuals and their group mates. In this context, the heritable effect of an individual on the phenotype of another individual is known as an Indirect Genetic Effect (IGE). Selection for socially affected traits may increase response to artificial selection, but also affect rate of inbreeding.
A simulation study was conducted to examine the effect of Best Linear Unbiased Prediction (BLUP) selection for socially affected traits on the rate of inbreeding. A base scenario without IGE and three alternative scenarios with different magnitudes of IGE were simulated. In each generation, 25 sires and 50 dams were mated, producing eight progeny per dam. The population was selected for 20 generations using BLUP. Individuals were randomly assigned to groups of eight members in each generation, with two families per group, each contributing four individuals. "Heritabilities" (for both direct and indirect genetic effects) were equal to 0.1, 0.3 or 0.5, and direct-indirect genetic correlations were -0.8, -0.4, 0, 0.4, or 0.8. The rate of inbreeding was calculated from generation 10 to 20.
For the base scenario, the rates of inbreeding were 4.09, 2.80 and 1.95% for "heritabilities" of 0.1, 0.3 and 0.5, respectively. Overall, rates of inbreeding for the three scenarios with IGE ranged from 2.21 to 5.76% and were greater than for the base scenarios. The results show that social interaction within groups of two families increases the resemblance between estimated breeding values of relatives, which, in turn, increases the rate of inbreeding.
BLUP selection for socially affected traits increased the rate of inbreeding. To maintain inbreeding at an acceptable rate, a selection algorithm that restricts the increase in mean kinship, such as optimum contribution selection, is required.
社会互动经常发生在包括水生动物在内的生物之间。有实证证据表明,社会互动可能会在基因层面影响个体及其群体成员的表型。在此背景下,一个个体对另一个个体表型的可遗传效应被称为间接遗传效应(IGE)。对受社会影响的性状进行选择可能会增加对人工选择的反应,但也会影响近亲繁殖率。
进行了一项模拟研究,以检验对受社会影响的性状进行最佳线性无偏预测(BLUP)选择对近亲繁殖率的影响。模拟了一个无间接遗传效应的基础情景和三个具有不同间接遗传效应大小的替代情景。在每一代中,25头公牛和50头母牛进行交配,每头母牛产8头后代。使用BLUP对该群体进行20代的选择。在每一代中,个体被随机分配到每组8个成员的群体中,每组有两个家系,每个家系贡献4个个体。(直接和间接遗传效应的)“遗传力”等于0.1、0.3或0.5,直接-间接遗传相关性为-0.8、-0.4、0、0.4或0.8。从第10代到第20代计算近亲繁殖率。
对于基础情景,“遗传力”为0.1、0.3和0.5时,近亲繁殖率分别为4.09%、2.80%和1.95%。总体而言,三个具有间接遗传效应情景的近亲繁殖率在2.21%至5.76%之间,高于基础情景。结果表明,两个家系群体内的社会互动增加了亲属估计育种值之间的相似性,进而增加了近亲繁殖率。
对受社会影响的性状进行BLUP选择会增加近亲繁殖率。为了将近亲繁殖率维持在可接受的水平,需要一种限制平均亲缘关系增加的选择算法,如最优贡献选择。