Combined MRI-PET dissects dynamic changes in plant structures and functions
Combined MRI-PET dissects dynamic changes in plant structures and functions
复制标题
DOI：
10.1111/j.1365-313x.2009.03888.x
复制
发表时间：
2009-08-01
期刊：
影响因子：
7.2
通讯作者：
Schurr, Ulrich
中科院分区：
文献类型：
--
作者：
Jahnke, Siegfried;Menzel, Marion I.;Schurr, Ulrich
揭开决定碳分配到不同植物器官的因素是现代植物生物学的重大挑战之一。在接近自然的条件下研究分配需要非侵入性的方法，现在可以用来测量植物，与为人类开发的植物一样。结合核磁共振成像(MRI)和正电子发射断层成像(PET)，我们研究了生长在沙地或土壤中的三种不同的根/地系统的结构、运输路线和标记了短命放射性碳同位素C-11的新近固定的光同化物的运转动态。用核磁共振成像技术对甜菜和萝卜的贮藏器官进行了研究，提供了器官内部结构的高空间分辨率图像，并用正电子发射计算机断层扫描技术测量了不同物种的运输区划、同化物分配特性和卸载特性。对玉米(Zea Mays)复杂根系内的生长和碳分配进行了监测，其结果可用于识别影响自然基质或与其他植物根系竞争的根系生长的因素。MRI-PET联合注册为对植物结构和运输过程的非侵入性分析打开了大门，这些结构和运输过程可能会因基因组、发育或环境挑战而改变。我们的目标是使这些方法适用于表型分析中的植物性状的定量分析，以及理解对植物表现至关重要的关键过程的动态。
Unravelling the factors determining the allocation of carbon to various plant organs is one of the great challenges of modern plant biology. Studying allocation under close to natural conditions requires noninvasive methods, which are now becoming available for measuring plants on a par with those developed for humans. By combining magnetic resonance imaging (MRI) and positron emission tomography (PET), we investigated three contrasting root/shoot systems growing in sand or soil, with respect to their structures, transport routes and the translocation dynamics of recently fixed photoassimilates labelled with the short-lived radioactive carbon isotope C-11. Storage organs of sugar beet (Beta vulgaris) and radish plants (Raphanus sativus) were assessed using MRI, providing images of the internal structures of the organs with high spatial resolution, and while species-specific transport sectoralities, properties of assimilate allocation and unloading characteristics were measured using PET. Growth and carbon allocation within complex root systems were monitored in maize plants (Zea mays), and the results may be used to identify factors affecting root growth in natural substrates or in competition with roots of other plants. MRI-PET co-registration opens the door for non-invasive analysis of plant structures and transport processes that may change in response to genomic, developmental or environmental challenges. It is our aim to make the methods applicable for quantitative analyses of plant traits in phenotyping as well as in understanding the dynamics of key processes that are essential to plant performance.