Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa

eLife

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[1] Department of Biological Sciences, Dartmouth College, Hanover, United States;Department of Botany, University of Wyoming, Laramie, United States;Department of Botany, University of Wyoming, Laramie, United States;Department of Molecular Biology, University of Wyoming, Laramie, United States;Program in Ecology, University of Wyoming, Laramie, United States;Department of Botany, University of Wyoming, Laramie, United States;Program in Ecology, University of Wyoming, Laramie, United States;Donald Danforth Plant Science Center, St. Louis, United States;

关键词: Brassica rapa;    drought;    transcriptomic network analysis;    abiotic stress;    photosynthesis;    daily rhythms;    Other;   

DOI  :  10.7554/eLife.29655

来源: publisher

【 摘 要 】

10.7554/eLife.29655.001The dynamics of local climates make development of agricultural strategies challenging. Yield improvement has progressed slowly, especially in drought-prone regions where annual crop production suffers from episodic aridity. Underlying drought responses are circadian and diel control of gene expression that regulate daily variations in metabolic and physiological pathways. To identify transcriptomic changes that occur in the crop Brassica rapa during initial perception of drought, we applied a co-expression network approach to associate rhythmic gene expression changes with physiological responses. Coupled analysis of transcriptome and physiological parameters over a two-day time course in control and drought-stressed plants provided temporal resolution necessary for correlation of network modules with dynamic changes in stomatal conductance, photosynthetic rate, and photosystem II efficiency. This approach enabled the identification of drought-responsive genes based on their differential rhythmic expression profiles in well-watered versus droughted networks and provided new insights into the dynamic physiological changes that occur during drought.

【 授权许可】

CC BY