Tang Qiming, Song Qingfeng, Ni Xiaoxiang, Shi Zai, Chen Genyun, Zhu Xinguang
National Key Laboratory for Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Plant Methods. 2022 Jul 30;18(1):97. doi: 10.1186/s13007-022-00926-7.
Photosynthesis close interacts with respiration and nitrogen assimilation, which determine the photosynthetic efficiency of a leaf. Accurately quantifying the metabolic fluxes in photosynthesis, respiration and nitrogen assimilation benefit the design of photosynthetic efficiency improvement. To accurately estimate metabolic fluxes, time-series data including leaf metabolism and isotopic abundance changes should be collected under precisely controlled environments. But for isotopic labelled leaves under defined environments the, time cost of manually sampling usually longer than the turnover time of several intermediates in photosynthetic metabolism. In this case, the metabolic or physiological status of leaf sample would change during the sampling, and the accuracy of metabolomics data could be compromised.
Here we developed an integrated isotopic labeling and freeze sampling apparatus (ILSA), which could finish freeze sampling automatically in 0.05 s. ILSA can not only be used for sampling of photosynthetic metabolism measurement, but also suit for leaf isotopic labeling experiments under controlled environments ([CO] and light). Combined with HPLC-MS/MS as the metabolic measurement method, we demonstrated: (1) how pool-size of photosynthetic metabolites change in dark-accumulated rice leaf, and (2) variation in photosynthetic metabolic flux between rice and Arabidopsis thaliana.
The development of ILSA supports the photosynthetic research on metabolism and metabolic flux analysis and provides a new tool for the study of leaf physiology.
光合作用与呼吸作用和氮同化密切相关,这决定了叶片的光合效率。准确量化光合作用、呼吸作用和氮同化中的代谢通量有助于提高光合效率的设计。为了准确估计代谢通量,应在精确控制的环境下收集包括叶片代谢和同位素丰度变化的时间序列数据。但是对于在特定环境下的同位素标记叶片,手动采样的时间成本通常比光合代谢中几种中间产物的周转时间长。在这种情况下,叶片样品的代谢或生理状态在采样过程中会发生变化,代谢组学数据的准确性可能会受到影响。
在此,我们开发了一种集成同位素标记和冷冻采样装置(ILSA),它可以在0.05秒内自动完成冷冻采样。ILSA不仅可用于光合代谢测量的采样,还适用于在受控环境([CO]和光照)下的叶片同位素标记实验。结合HPLC-MS/MS作为代谢测量方法,我们证明了:(1)暗积累水稻叶片中光合代谢物的库大小如何变化,以及(2)水稻和拟南芥之间光合代谢通量的差异。
ILSA的开发支持了光合作用的代谢和代谢通量分析研究,并为叶片生理学研究提供了一种新工具。