Institute of Botany, University of Cologne, Cologne, Germany.
Center for Computational and Theoretical Biology, Julius-Maximilians-University Würzburg, Würzburg, Germany.
Mol Ecol. 2018 Oct;27(20):4052-4065. doi: 10.1111/mec.14838. Epub 2018 Sep 19.
Stomata control gas exchanges between the plant and the atmosphere. How natural variation in stomata size and density contributes to resolve trade-offs between carbon uptake and water loss in response to local climatic variation is not yet understood. We developed an automated confocal microscopy approach to characterize natural genetic variation in stomatal patterning in 330 fully sequenced Arabidopsis thaliana accessions collected throughout the European range of the species. We compared this to variation in water-use efficiency, measured as carbon isotope discrimination (δ C). We detect substantial genetic variation for stomata size and density segregating within Arabidopsis thaliana. A positive correlation between stomata size and δ C further suggests that this variation has consequences on water-use efficiency. Genome wide association analyses indicate a complex genetic architecture underlying not only variation in stomatal patterning but also to its covariation with carbon uptake parameters. Yet, we report two novel QTL affecting δ C independently of stomatal patterning. This suggests that, in A. thaliana, both morphological and physiological variants contribute to genetic variance in water-use efficiency. Patterns of regional differentiation and covariation with climatic parameters indicate that natural selection has contributed to shape some of this variation, especially in Southern Sweden, where water availability is more limited in spring relative to summer. These conditions are expected to favour the evolution of drought avoidance mechanisms over drought escape strategies.
气孔控制着植物与大气之间的气体交换。然而,目前尚不清楚自然变异的气孔大小和密度如何有助于解决碳吸收和水分损失之间的权衡,以响应局部气候的变化。我们开发了一种自动共聚焦显微镜方法,用于表征 330 个完全测序的拟南芥阿拉伯变种中气孔模式的自然遗传变异,这些变种是在该物种的整个欧洲范围内收集的。我们将这与水分利用效率(以碳同位素分馏(δ C)来衡量)的变化进行了比较。我们检测到拟南芥中气孔大小和密度的显著遗传变异。气孔大小与 δ C 之间的正相关进一步表明,这种变异对水分利用效率有影响。全基因组关联分析表明,不仅气孔模式的变异,而且其与碳吸收参数的共变,都有复杂的遗传结构。然而,我们报告了两个影响 δ C 的新 QTL,而与气孔模式无关。这表明,在拟南芥中,形态和生理变异都有助于水分利用效率的遗传变异。区域分化模式和与气候参数的协变表明,自然选择有助于塑造这种变异的一部分,特别是在瑞典南部,那里春季的水分供应比夏季更为有限。这些条件预计有利于逃避干旱机制的进化,而不是逃避干旱策略。