Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas, Madrid 28049, Spain.
Plant Physiol. 2011 Dec;157(4):1942-55. doi: 10.1104/pp.111.183426. Epub 2011 Oct 11.
Extensive natural variation has been described for the timing of flowering initiation in many annual plants, including the model wild species Arabidopsis (Arabidopsis thaliana), which is presumed to be involved in adaptation to different climates. However, the environmental factors that might shape this genetic variation, as well as the molecular bases of climatic adaptation by modifications of flowering time, remain mostly unknown. To approach both goals, we characterized the flowering behavior in relation to vernalization of 182 Arabidopsis wild genotypes collected in a native region spanning a broad climatic range. Phenotype-environment association analyses identified strong altitudinal clines (0-2600 m) in seven out of nine flowering-related traits. Altitudinal clines were dissected in terms of minimum winter temperature and precipitation, indicating that these are the main climatic factors that might act as selective pressures on flowering traits. In addition, we used an association analysis approach with four candidate genes, FRIGIDA (FRI), FLOWERING LOCUS C (FLC), PHYTOCHROME C (PHYC), and CRYPTOCHROME2, to decipher the genetic bases of this variation. Eleven different loss-of-function FRI alleles of low frequency accounted for up to 16% of the variation for most traits. Furthermore, an FLC allelic series of six novel putative loss- and change-of-function alleles, with low to moderate frequency, revealed that a broader FLC functional diversification might contribute to flowering variation. Finally, environment-genotype association analyses showed that the spatial patterns of FRI, FLC, and PHYC polymorphisms are significantly associated with winter temperatures and spring and winter precipitations, respectively. These results support that allelic variation in these genes is involved in climatic adaptation.
在许多一年生植物中,包括模式野生物种拟南芥(Arabidopsis thaliana),已经描述了开花起始时间的广泛自然变异,这些变异被认为参与了对不同气候的适应。然而,塑造这种遗传变异的环境因素,以及通过改变开花时间来适应气候的分子基础,在很大程度上仍然未知。为了实现这两个目标,我们对 182 种在广泛气候范围内采集的野生拟南芥基因型与春化作用的开花行为进行了特征描述。表型-环境关联分析在九个与开花相关的特征中有七个确定了明显的海拔梯度(0-2600 米)。海拔梯度在最小冬季温度和降水方面进行了剖析,表明这些是可能对开花特征施加选择压力的主要气候因素。此外,我们使用了四个候选基因(FRIGIDA(FRI)、FLOWERING LOCUS C(FLC)、PHYTOCHROME C(PHYC)和CRYPTOCHROME2)的关联分析方法,来揭示这种变异的遗传基础。低频率的 11 种不同的 FRI 功能丧失等位基因解释了大多数性状高达 16%的变异。此外,六个新的潜在功能丧失和功能改变的 FLC 等位基因系列,具有低到中等频率,表明更广泛的 FLC 功能多样化可能有助于开花变异。最后,环境-基因型关联分析表明,FRI、FLC 和 PHYC 多态性的空间模式与冬季温度以及春季和冬季降水分别显著相关。这些结果支持这些基因的等位基因变异参与了气候适应。