Hydrometeorology for plant omics: potential evaporation as a key index for transcriptome in rice
Hydrometeorology for plant omics: potential evaporation as a key index for transcriptome in rice
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DOI:
10.1016/j.envexpbot.2021.104724
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发表时间:
2021-11
影响因子:
5.7
通讯作者:
T. Kuwagata;Mari Murai-Hatano;Maya Matsunami;Shingo Terui;A. Nagano;A. Maruyama;S. Ishida
中科院分区:
文献类型:
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作者:
T. Kuwagata;Mari Murai-Hatano;Maya Matsunami;Shingo Terui;A. Nagano;A. Maruyama;S. Ishida
Transpiration is a major physiological phenomenon in plants and is induced by atmospheric transpirational demand. However, little is known about quantitative relationships between transpirational demand and multiple meteorological factors, and how plants respond to short-time (day-to-day) changes in transpirational demand at the gene and molecular levels. We used a physical-based model of heat balance and transfer at a saturated surface to quantify the sensitivity of potential evaporation (Ep; a hydrometeorological indicator of transpirational demand) to each meteorological factor under a wide range of climatic conditions. Sensitivity analysis showed thatEp varies dynamically in time and space with meteorological conditions. That is,Ep changes commensurately with solar radiationSd, somewhat increases with wind speedWS, while somewhat decreases with increasing relative humidityRh. The sensitivity ofEp toWSandRhincreases with decreasingSd. The logarithm ofEp decreases approximately linearly with increasing inverse absolute temperature. The validity of use ofEp as the transpirational demand under natural field conditions was confirmed by high correlation between hourly basedEp and hourly evapotranspiration in the flooded rice paddy fields. We also examined the effects of short-term changes inEp on transpiration (ET) and transcriptomes of rice at the heading stage by altering meteorological conditions on sunny days for four hours.ETchanged commensurately withEp, and the expression levels of numerous genes, including those encoding aquaporins in rice leaves and roots, showed a significant positive or negative correlation withET, especially in leaves. The present study suggests that rice plants may adjust their physiological condition, such as hydraulic conductivity and mesophyll conductance, through dynamic transcriptome changes in response to transpirational demand under fluctuating meteorological conditions.