ArticleBMC plant biology2015
In vivo quantitative imaging of photoassimilate transport dynamics and allocation in large plants using a commercial positron emission tomography (PET) scanner.
Article in BMC plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- Technological advances in imaging and modelling of leaf structural traits: a review of heat stress in wheat.Journal of experimental botany · 2026Review
- Investigating phloem transport dynamics in Arabidopsis through compartmental modelling of positron emission tomography data.Plant methods · 2026Article
- Detecting Rapid Changes in Carbon Transport and Partitioning with Carbon-11 (Methods in molecular biology (Clifton, N.J.) · 2026Article
- Syndrome "basses richesses" disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging.Plant phenomics (Washington, D.C.) · 2025Article
- Transport and spatio-temporal conversion of sugar facilitate the formation of spatial gradients of starch in wheat caryopses.Communications biology · 2024Article
- Insights into the Functional Components in Wheat Grain: Spatial Pattern, Underlying Mechanism and Cultivation Regulation.Plants (Basel, Switzerland) · 2023Review
- In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants.Plants (Basel, Switzerland) · 2022Article
- Sugar loading is not required for phloem sap flow in maize plants.Nature plants · 2022Article
- Kinetically Consistent Data Assimilation for Plant PET Sparse Time Activity Curve Signals.Frontiers in plant science · 2022Article
- Imaging tools for plant nanobiotechnology.Frontiers in genome editing · 2022Review
- Physiology and whole-plant carbon partitioning during stem sugar accumulation in sweet dwarf sorghum.Planta · 2021Article
- Continuous monitoring of plant sodium transport dynamics using clinical PET.Plant methods · 2021Article
- Design Study of a Novel Positron Emission Tomography System for Plant Imaging.Frontiers in plant science · 2021Article
- Guide to Plant-PET Imaging UsingFrontiers in plant science · 2021Article
- Quantifying the Capacity of Phloem Loading in Leaf Disks with [Bio-protocol · 2017Article
- Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.GigaScience · 2017Review
- Photosynthate Regulation of the Root System Architecture Mediated by the Heterotrimeric G Protein Complex in Arabidopsis.Frontiers in plant science · 2016Article
- Review
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough important aspects of whole-plant carbon allocation in crop plants (e.g., to grain) occur late in development when the plants are large, techniques to study carbon transport and allocation processes have not been adapted for large plants. Positron emission tomography (PET), developed for dynamic imaging in medicine, has been applied in plant studies to measure the transport and allocation patterns of carbohydrates, nutrients, and phytohormones labeled with positron-emitting radioisotopes. However, the cost of PET and its limitation to smaller plants has restricted its use in plant biology. Here we describe the adaptation and optimization of a commercial clinical PET scanner to measure transport dynamics and allocation patterns of (11)C-photoassimilates in large crops.
resultsBased on measurements of a phantom, we optimized instrument settings, including use of 3-D mode and attenuation correction to maximize the accuracy of measurements. To demonstrate the utility of PET, we measured (11)C-photoassimilate transport and allocation in Sorghum bicolor, an important staple crop, at vegetative and reproductive stages (40 and 70 days after planting; DAP). The (11)C-photoassimilate transport speed did not change over the two developmental stages. However, within a stem, transport speeds were reduced across nodes, likely due to higher (11)C-photoassimilate unloading in the nodes. Photosynthesis in leaves and the amount of (11)C that was exported to the rest of the plant decreased as plants matured. In young plants, exported (11)C was allocated mostly (88 %) to the roots and stem, but in flowering plants (70 DAP) the majority of the exported (11)C (64 %) was allocated to the apex.
conclusionsOur results show that commercial PET scanners can be used reliably to measure whole-plant C-allocation in large plants nondestructively including, importantly, allocation to roots in soil. This capability revealed extreme changes in carbon allocation in sorghum plants, as they advanced to maturity. Further, our results suggest that nodes may be important control points for photoassimilate distribution in crops of the family Poaceae. Quantifying real-time carbon allocation and photoassimilate transport dynamics, as demonstrated here, will be important for functional genomic studies to unravel the mechanisms controlling phloem transport in large crop plants, which will provide crucial insights for improving yields.
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