Casellas Joaquim, Medrano Juan F
Genetica i Millora Animal, Institut de Recerca i Tecnologia Agroalimentaries-Lleida, Lleida, Spain.
Genetics. 2008 Aug;179(4):2147-55. doi: 10.1534/genetics.108.088070. Epub 2008 Jul 27.
The mutational input of genetic variance per generation (sigma(m)(2)) is the lower limit of the genetic variability in inbred strains of mice, although greater values could be expected due to the accumulation of new mutations in successive generations. A mixed-model analysis using Bayesian methods was applied to estimate sigma(m)(2) and the across-generation accumulated genetic variability on litter size in 46 generations of a C57BL/6J inbred strain. This allowed for a separate inference on sigma(m)(2) and on the additive genetic variance in the base population (sigma(a)(2)). The additive genetic variance in the base generation was 0.151 and quickly decreased to almost null estimates in generation 10. On the other hand, sigma(m)(2) was moderate (0.035) and the within-generation mutational variance increased up to generation 14, then oscillating between 0.102 and 0.234 in remaining generations. This pattern suggested the existence of a continuous uploading of genetic variability for litter size (h(2)=0.045). Relevant genetic drift was not detected in this population. In conclusion, our approach allowed for separate estimation of sigma(a)(2) and sigma(m)(2) within the mixed-model framework, and the heritability obtained highlighted the significant and continuous influence of new genetic variability affecting the genetic stability of inbred strains.
每代遗传方差的突变输入(sigma(m)(2))是小鼠近交系遗传变异性的下限,尽管由于连续几代新突变的积累,预期会有更大的值。应用贝叶斯方法进行混合模型分析,以估计C57BL/6J近交系46代产仔数的sigma(m)(2)和跨代累积遗传变异性。这使得能够分别推断sigma(m)(2)和基础群体中的加性遗传方差(sigma(a)(2))。基础世代的加性遗传方差为0.151,并在第10代迅速降至几乎为零的估计值。另一方面,sigma(m)(2)适中(0.035),代内突变方差在第14代之前增加,然后在其余世代中在0.102和0.234之间波动。这种模式表明存在产仔数遗传变异性的持续上传(h(2)=0.045)。在该群体中未检测到相关的遗传漂变。总之,我们的方法允许在混合模型框架内分别估计sigma(a)(2)和sigma(m)(2),并且所获得的遗传力突出了新遗传变异性对近交系遗传稳定性的显著和持续影响。