Smith Millicent, Wild Birgit, Richter Andreas, Simonin Kevin, Merchant Andrew
Department of Environmental Sciences, Faculty of Agriculture and Environment, The University of Sydney, Sydney NSW, Australia 2006.
Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria 1090.
Plant Cell Physiol. 2016 Aug;57(8):1756-66. doi: 10.1093/pcp/pcw099. Epub 2016 May 19.
The use of carbon isotope abundance (δ(13)C) to assess plant carbon acquisition and water use has significant potential for use in crop management and plant improvement programs. Utilizing Phaseolus vulgaris L. as a model system, this study demonstrates the occurrence and sensitivity of carbon isotope fractionation during the onset of abiotic stresses between leaf and phloem carbon pools. In addition to gas exchange data, compound-specific measures of carbon isotope abundance and concentrations of soluble components of phloem sap were compared with major carbohydrate and sugar alcohol pools in leaf tissue. Differences in both δ(13)C and concentration of metabolites were found in leaf and phloem tissues, the magnitude of which responded to changing environmental conditions. These changes have inplications for the modeling of leaf-level gas exchange based upon δ(13)C natural abundance. Estimates of δ(13)C of low molecular weight carbohydrates and polyols increased the precision of predictions of water use efficiency compared with those based on bulk soluble carbon. The use of this technique requires consideration of the dynamics of the δ(13)C pool under investigation. Understanding the dynamics of changes in δ(13)C during movement and incorporation into heterotrophic tissues is vital for the continued development of tools that provide information on plant physiological performance relating to water use.
利用碳同位素丰度(δ(13)C)评估植物碳获取和水分利用在作物管理和植物改良计划中具有巨大潜力。本研究以菜豆(Phaseolus vulgaris L.)为模型系统,证明了非生物胁迫开始时叶片和韧皮部碳库之间碳同位素分馏的发生及其敏感性。除了气体交换数据外,还将碳同位素丰度的化合物特异性测量值以及韧皮部汁液可溶性成分的浓度与叶片组织中的主要碳水化合物和糖醇库进行了比较。在叶片和韧皮部组织中发现了δ(13)C和代谢物浓度的差异,其幅度对不断变化的环境条件有响应。这些变化对基于δ(13)C自然丰度的叶片水平气体交换建模有影响。与基于总可溶性碳的预测相比,低分子量碳水化合物和多元醇的δ(13)C估计提高了水分利用效率预测的精度。使用该技术需要考虑所研究的δ(13)C库的动态。了解δ(13)C在向异养组织移动和掺入过程中的变化动态对于持续开发提供与水分利用相关的植物生理性能信息的工具至关重要。