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稻米(Oryza sativa L.)谷物有机质中的氧同位素富集捕获了相对湿度的特征。

Oxygen isotope enrichment in rice (Oryza sativa L.) grain organic matter captures signature of relative humidity.

机构信息

Centre for Earth Sciences, Indian Institute of Science, Bangalore, 560012, India.

Centre for Earth Sciences, Indian Institute of Science, Bangalore, 560012, India; Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, 560012, India.

出版信息

Plant Sci. 2018 Sep;274:503-513. doi: 10.1016/j.plantsci.2018.05.022. Epub 2018 May 31.

Abstract

The oxygen isotopic composition (δO) of plant organic matter (OM) is primarily governed by the δO of source water (δO) and climatic factor of relative humidity (RH). Among the cereals, the growth of rice plants is critically dependent on the water availability in the growth-environment. In the present study, we investigated the sensitivity of δO in the bulk organic matter of rice grains to RH of their growth-environment. Our experimental setup consisted of both glasshouse and field experiments, where eight genotypes were grown at RH levels ranging from 67% to 87%. The δO measured in bulk grain OM and source water was used to calculate the net oxygen isotopic enrichment (ΔO). Regression analysis of ΔO with RH demonstrated a significant relationship (r = 0.96; p < 0.0001), thereby implying that the isotopic signature of evaporative conditions gets recorded in the rice grain OM. In addition, our study involved a separate experiment that monitored the degree of oxygen isotope enrichment in water samples extracted from different parts of the rice plant. For this purpose, we sampled four of the above eight genotypes along with three other rice genotypes that were grown in both open cultivation fields and glasshouse. Water present in the culms, leaves, and grains were extracted quantitatively. Isotopic analyses revealed progressive O enrichment of the water in the culms and leaves and intermediate enrichment values of that in the grains. Based on the isotope data, we validated mechanistic models for prediction of δO of the leaf water and that of the plant carbohydrates. The model predictions were in close agreement with the experimental observations. The study provides insights into the rice plant's oxygen isotope systematics that build the foundation for future applications of the stable isotope technique to study the interactions between rice and environment.

摘要

植物有机质(OM)的氧同位素组成(δO)主要由源水的δO(δO)和相对湿度(RH)的气候因素决定。在谷物中,水稻植株的生长严重依赖于生长环境中的水分供应。在本研究中,我们研究了水稻籽粒中 bulk organic matter 的 δO 对其生长环境 RH 的敏感性。我们的实验设置包括温室和田间实验,其中 8 个基因型在 RH 水平为 67%至 87%的范围内生长。在 bulk grain OM 和源水中测量的 δO 用于计算净氧同位素富集(ΔO)。ΔO 与 RH 的回归分析表明存在显著关系(r=0.96;p<0.0001),这意味着蒸发条件的同位素特征被记录在水稻籽粒 OM 中。此外,我们的研究还涉及一个单独的实验,该实验监测了从水稻植株不同部位提取的水样中的氧同位素富集程度。为此,我们从上述 8 个基因型中采样了 4 个,以及另外 3 个在露天种植场和温室中生长的水稻基因型。定量提取了茎、叶和籽粒中的水分。同位素分析表明,水分在茎和叶中的 O 同位素逐渐富集,而在籽粒中的富集值居中。基于同位素数据,我们验证了用于预测叶片水和植物碳水化合物 δO 的机制模型。模型预测与实验观察结果非常吻合。该研究为未来应用稳定同位素技术研究水稻与环境之间的相互作用提供了对水稻植物氧同位素系统的深入了解。

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