Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Breeding Research, OT Gatersleben, Corrensstraße 3, D-06466 Seeland, Germany.
J Exp Bot. 2023 Sep 13;74(17):5341-5362. doi: 10.1093/jxb/erad222.
Plant growth is a complex process affected by a multitude of genetic and environmental factors and their interactions. To identify genetic factors influencing plant performance under different environmental conditions, vegetative growth was assessed in Arabidopsis thaliana cultivated under constant or fluctuating light intensities, using high-throughput phenotyping and genome-wide association studies. Daily automated non-invasive phenotyping of a collection of 382 Arabidopsis accessions provided growth data during developmental progression under different light regimes at high temporal resolution. Quantitative trait loci (QTL) for projected leaf area, relative growth rate, and PSII operating efficiency detected under the two light regimes were predominantly condition-specific and displayed distinct temporal activity patterns, with active phases ranging from 2 d to 9 d. Eighteen protein-coding genes and one miRNA gene were identified as potential candidate genes at 10 QTL regions consistently found under both light regimes. Expression patterns of three candidate genes affecting projected leaf area were analysed in time-series experiments in accessions with contrasting vegetative leaf growth. These observations highlight the importance of considering both environmental and temporal patterns of QTL/allele actions and emphasize the need for detailed time-resolved analyses under diverse well-defined environmental conditions to effectively unravel the complex and stage-specific contributions of genes affecting plant growth processes.
植物生长是一个受多种遗传和环境因素及其相互作用影响的复杂过程。为了鉴定影响植物在不同环境条件下表现的遗传因素,我们在拟南芥中进行了营养生长评估,这些拟南芥在恒定或波动的光照强度下培养,使用高通量表型和全基因组关联研究。对 382 个拟南芥品系的集合进行了每日自动非侵入性表型分析,在不同光照条件下以高时间分辨率提供了发育过程中的生长数据。在两种光照条件下检测到的投影叶面积、相对生长率和 PSII 运行效率的数量性状位点(QTL)主要是条件特异性的,并显示出不同的时间活动模式,活跃阶段从 2 天到 9 天不等。在两种光照条件下都发现的 10 个 QTL 区域中,有 18 个蛋白质编码基因和 1 个 miRNA 基因被鉴定为潜在的候选基因。在具有不同营养叶生长的品系中,对影响投影叶面积的三个候选基因的表达模式进行了时间序列实验分析。这些观察结果强调了考虑 QTL/等位基因作用的环境和时间模式的重要性,并强调需要在不同明确的环境条件下进行详细的时间分辨分析,以有效地揭示影响植物生长过程的基因的复杂和特定阶段的贡献。