Sasaki Eriko, Zhang Pei, Atwell Susanna, Meng Dazhe, Nordborg Magnus
Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria.
Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria; Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.
PLoS Genet. 2015 Oct 16;11(10):e1005597. doi: 10.1371/journal.pgen.1005597. eCollection 2015 Oct.
Understanding how genetic variation interacts with the environment is essential for understanding adaptation. In particular, the life cycle of plants is tightly coordinated with local environmental signals through complex interactions with the genetic variation (G x E). The mechanistic basis for G x E is almost completely unknown. We collected flowering time data for 173 natural inbred lines of Arabidopsis thaliana from Sweden under two growth temperatures (10°C and 16°C), and observed massive G x E variation. To identify the genetic polymorphisms underlying this variation, we conducted genome-wide scans using both SNPs and local variance components. The SNP-based scan identified several variants that had common effects in both environments, but found no trace of G x E effects, whereas the scan using local variance components found both. Furthermore, the G x E effects appears to be concentrated in a small fraction of the genome (0.5%). Our conclusion is that G x E effects in this study are mostly due to large numbers of allele or haplotypes at a small number of loci, many of which correspond to previously identified flowering time genes.
了解基因变异如何与环境相互作用对于理解适应性至关重要。特别是,植物的生命周期通过与基因变异(G×E)的复杂相互作用与当地环境信号紧密协调。G×E的机制基础几乎完全未知。我们在两种生长温度(10°C和16°C)下收集了来自瑞典的173个拟南芥自然自交系的开花时间数据,并观察到大量的G×E变异。为了确定这种变异背后的基因多态性,我们使用单核苷酸多态性(SNP)和局部方差成分进行了全基因组扫描。基于SNP的扫描识别出了几个在两种环境中都有共同效应的变异,但未发现G×E效应的踪迹,而使用局部方差成分的扫描则同时发现了这两种效应。此外,G×E效应似乎集中在基因组的一小部分(0.5%)。我们的结论是,本研究中的G×E效应主要是由于少数基因座上的大量等位基因或单倍型,其中许多与先前鉴定的开花时间基因相对应。