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通过综合转录组学和生理学分析解析西藏青稞的干旱响应机制。

Deciphering drought response mechanism in Tibetan qingke through comprehensive transcriptomic and physiological analysis.

作者信息

Jiang Deyuan, Chen Shuaihao, Qin Zhongmengyi, Bo La, Niu Liping, Zhou Hongkang, Wang Jing, Dondup Dawa, Hou Xin

机构信息

School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, Hubei, China.

State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet, China.

出版信息

Front Plant Sci. 2025 Jul 25;16:1633561. doi: 10.3389/fpls.2025.1633561. eCollection 2025.

Abstract

Qingke (Hulless barley, L. var. ) is a key agroecological crop on the Qinghai-Tibet Plateau and other high-altitude regions. Beyond being food crop, it has industrial applications, including livestock forage, brewing, food processing, and biomass fuel conversion, with emerging evidence indicating the presence of pharmacologically active compounds. Qingke has evolved remarkable adaptations to extreme environments, including high-altitude acclimatization, resistance to drought and wind, cold tolerance, nutrient deficiency resilience, and a short growth cycle. With the intensification of global warming, drought stress has become a major abiotic factor limiting qingke productivity. However, the molecular mechanisms underlying its drought response remain largely unexplored. This study conducted a comparative transcriptomic analysis of six qingke cultivars (three drought-tolerant and three drought-sensitive) under controlled drought conditions, with antioxidant enzyme activities monitoring. Differential expression analysis revealed 4,731 drought-responsive DEGs in drought-sensitive cultivars and 3,875 in drought-tolerant cultivars. Further, weighted gene co-expression network analysis (WGCNA) identified gene modules strongly correlated with photosynthetic efficiency parameters (e.g., net photosynthetic rate and transpiration rate), chlorophyll fluorescence parameters (e.g., Fv/Fm and NPQ), ROS-related parameters, and plant growth-related parameters (e.g., plant height and fresh weight). Key genes involved in drought stress, including , , , and , were identified. Their effectiveness in enhancing drought resistance was validated in yeast model, suggesting their potential for improving drought stress tolerance. These findings substantially advance our mechanistic understanding of drought adaptation in qingke while providing novel insights and valuable genetic resources for molecular breeding programs targeting abiotic stress resistance in barley and related cereal crops.

摘要

青稞(裸大麦,L.变种)是青藏高原和其他高海拔地区的一种关键农业生态作物。除了作为粮食作物外,它还具有工业应用,包括用作牲畜饲料、酿造、食品加工和生物质燃料转化,新出现的证据表明其存在药理活性化合物。青稞已经进化出对极端环境的显著适应性,包括高海拔适应、抗旱抗风、耐寒、耐养分缺乏以及生长周期短。随着全球变暖的加剧,干旱胁迫已成为限制青稞生产力的主要非生物因素。然而,其干旱响应的分子机制在很大程度上仍未被探索。本研究在控制干旱条件下对六个青稞品种(三个耐旱品种和三个干旱敏感品种)进行了比较转录组分析,并监测了抗氧化酶活性。差异表达分析揭示了干旱敏感品种中有4731个干旱响应差异表达基因,耐旱品种中有3875个。此外,加权基因共表达网络分析(WGCNA)确定了与光合效率参数(如净光合速率和蒸腾速率)、叶绿素荧光参数(如Fv/Fm和NPQ)、活性氧相关参数以及植物生长相关参数(如株高和鲜重)密切相关的基因模块。鉴定出了参与干旱胁迫的关键基因,包括 、 、 和。它们在增强抗旱性方面的有效性在酵母模型中得到了验证,表明它们具有提高干旱胁迫耐受性的潜力。这些发现极大地推进了我们对青稞干旱适应机制的理解,同时为针对大麦和相关谷类作物非生物胁迫抗性的分子育种计划提供了新的见解和宝贵的遗传资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/831a/12331675/cad1f523bd25/fpls-16-1633561-g001.jpg

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