首页|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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NSTL
Elsevier
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 that Ep varies dynamically in time and space with meteorological conditions. That is, Ep changes commensurately with solar radiation Sd, somewhat increases with wind speed WS, while somewhat decreases with increasing relative humidity Rh. The sensitivity of Ep to WS and Rh increases with decreasing Sd. The logarithm of Ep decreases approximately linearly with increasing inverse absolute temperature. The validity of use of Ep as the transpirational demand under natural field conditions was confirmed by high correlation between hourly based Ep and hourly evapotranspiration in the flooded rice paddy fields. We also examined the effects of short-term changes in Ep on transpiration (ET) and transcriptomes of rice at the heading stage by altering meteorological conditions on sunny days for four hours. ET changed commensurately with Ep, and the expression levels of numerous genes, including those encoding aquaporins in rice leaves and roots, showed a significant positive or negative correlation with ET, 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.
NSTL
Elsevier
