PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit
PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit
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DOI：
10.1111/j.1469-8137.2005.01609.x
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发表时间：
2006-01-01
期刊：
影响因子：
9.4
通讯作者：
Tardieu, F
中科院分区：
文献类型：
--
作者：
Granier, C;Aguirrezabal, L;Tardieu, F
拟南芥种质的高通量表型分析需要方法学的进步和自动化。提出了施加稳定和可重复的土壤水分亏缺的方法，并用于分析植物对水分胁迫的反应。确定了几个潜在的并发症和方法困难，包括生长室内微气象条件的时空变异性，不同材料之间土壤水分耗竭速率的差异，以及播种后同一时间材料发育阶段的差异。解决方案被找到了。在一个严格控制的生长室里，在四个实验中种植了九个种质，该生长室配备了一个自动化系统来控制土壤水分并拍摄单个植物的照片。在单位叶面积的叶数、叶面积、根的生长和蒸腾速率方面，AN1不受水分亏缺的影响。建立的方法将有助于鉴定与植物耐水分亏缺有关的数量性状座位和基因。
The high-throughput phenotypic analysis of Arabidopsis thaliana collections requires methodological progress and automation. Methods to impose stable and reproducible soil water deficits are presented and were used to analyse plant responses to water stress.Several potential complications and methodological difficulties were identified, including the spatial and temporal variability of micrometeorological conditions within a growth chamber, the difference in soil water depletion rates between accessions and the differences in developmental stage of accessions the same time after sowing. Solutions were found.Nine accessions were grown in four experiments in a rigorously controlled growth-chamber equipped with an automated system to control soil water content and take pictures of individual plants. One accession, An1, was unaffected by water deficit in terms of leaf number, leaf area, root growth and transpiration rate per unit leaf area.Methods developed here will help identify quantitative trait loci and genes involved in plant tolerance to water deficit.