Bac-Molenaar Johanna A, Granier Christine, Keurentjes Joost J B, Vreugdenhil Dick
Laboratories of Plant Physiology and Genetics.
Laboratoire d'Ecop0068ysiologie des Plantes sous Stress Environnementaux, UMR 759, Institut National de la Recherche Agronomique/Ecole Nationale Supérieure d'Agronomie, Place Viala, F-34060, Montpellier, Cedex 1, France.
Plant Cell Environ. 2016 Jan;39(1):88-102. doi: 10.1111/pce.12595. Epub 2015 Nov 9.
Large areas of arable land are often confronted with irregular rainfall resulting in limited water availability for part(s) of the growing seasons, which demands research for drought tolerance of plants. Natural variation was observed for biomass accumulation upon controlled moderate drought stress in 324 natural accessions of Arabidopsis. Improved performance under drought stress was correlated with early flowering and lack of vernalization requirement, indicating overlap in the regulatory networks of flowering time and drought response or correlated responses of these traits to natural selection. In addition, plant size was negatively correlated with relative water content (RWC) independent of the absolute water content (WC), indicating a prominent role for soluble compounds. Growth in control and drought conditions was determined over time and was modelled by an exponential function. Genome-wide association (GWA) mapping of temporal plant size data and of model parameters resulted in the detection of six time-dependent quantitative trait loci (QTLs) strongly associated with drought. Most QTLs would not have been identified if plant size was determined at a single time point. Analysis of earlier reported gene expression changes upon drought enabled us to identify for each QTL the most likely candidates.
大面积耕地经常面临降雨不均的情况,导致生长季节部分时段的可用水量有限,这就需要开展植物耐旱性研究。在324份拟南芥自然种质中,观察到在可控适度干旱胁迫下生物量积累存在自然变异。干旱胁迫下表现的改善与早花以及无需春化处理相关,这表明开花时间调控网络与干旱响应存在重叠,或者这些性状对自然选择存在相关响应。此外,植株大小与相对含水量(RWC)呈负相关,与绝对含水量(WC)无关,表明可溶性化合物发挥了重要作用。随着时间推移测定了对照和干旱条件下的生长情况,并通过指数函数进行建模。对随时间变化的植株大小数据和模型参数进行全基因组关联(GWA)定位,结果检测到6个与干旱密切相关的随时间变化的数量性状位点(QTL)。如果仅在单个时间点测定植株大小,大多数QTL是无法被鉴定出来的。对先前报道的干旱后基因表达变化进行分析,使我们能够为每个QTL鉴定出最有可能的候选基因。