Department of Forestry Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 90736 Umeå, Sweden.
Department of Medical Biochemistry and Microbiology, Uppsala University, 75123 Uppsala, Sweden.
Genes (Basel). 2020 Oct 29;11(11):1279. doi: 10.3390/genes11111279.
Variable individual responses to environmental changes, such as phenotype plasticity, are heritable, with some genotypes being robust and others plastic. This variation for plasticity contributes to variance in complex traits as genotype-by-environment interactions (G × E). However, the genetic basis of this variability in responses to the same external stimuli is still largely unknown. In an earlier study of a large haploid segregant yeast population, genotype-by-genotype-by-environment interactions were found to make important contributions to the release of genetic variation in growth responses to alterations of the growth medium. Here, we explore the genetic basis for heritable variation of different measures of phenotype plasticity in the same dataset. We found that the central loci in the environmentally dependent epistatic networks were associated with overall measures of plasticity, while the specific measures of plasticity identified a more diverse set of loci. Based on this, a rapid one-dimensional genome-wide association (GWA) approach to overall plasticity is proposed as a strategy to efficiently identify key epistatic loci contributing to the phenotype plasticity. The study thus provided both analytical strategies and a deeper understanding of the complex genetic regulation of phenotype plasticity in yeast growth.
个体对外界环境变化的响应存在可变性,例如表型可塑性,这种可变性是可遗传的,一些基因型具有较强的稳定性,而另一些基因型则具有较强的可塑性。这种可塑性的变化导致了基因型-环境互作(G × E)中复杂性状的变异。然而,对于相同外部刺激的响应的这种可变性的遗传基础在很大程度上仍然未知。在对一个大型单倍体分离酵母群体的早期研究中,发现基因型-基因型-环境互作对生长响应改变的生长介质的遗传变异的释放有重要贡献。在这里,我们在同一个数据集内探索不同表型可塑性测量值的可遗传变异的遗传基础。我们发现,环境依赖的上位性网络中的核心位点与整体可塑性测量值相关,而特定的可塑性测量值则确定了更多样化的一组位点。基于这一点,提出了一种快速的一维全基因组关联(GWA)方法来测量整体可塑性,作为一种有效地识别影响表型可塑性的关键上位性位点的策略。因此,该研究为酵母生长中表型可塑性的复杂遗传调控提供了分析策略和更深入的理解。