Evidence map›Paper›PMID 26552889›Full record

ArticleBMC plant biology2015

In vivo quantitative imaging of photoassimilate transport dynamics and allocation in large plants using a commercial positron emission tomography (PET) scanner.

Abhijit A Karve, David Alexoff, Dohyun Kim, Michael J Schueller, Richard A Ferrieri, Benjamin A Babst

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Detecting Rapid Changes in Carbon Transport and Partitioning with Carbon-11 (Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Imaging tools for plant nanobiotechnology.Frontiers in genome editing · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Guide to Plant-PET Imaging UsingFrontiers in plant science · 2021
    Article
  15. Article
  16. Review
  17. Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Abhijit A KarveBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. abhikarve@gmail.com.
David AlexoffBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. alexoff@bnl.gov.
Dohyun KimBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. dohkim@bnl.gov.
Michael J SchuellerBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. mschueller@bnl.gov.
Richard A FerrieriBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. rferrieri@bnl.gov.
Benjamin A BabstBiological, Environmental, and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. Babst@uamont.edu.
Brookhaven National Laboratory · USUniversity of Arkansas at Monticello · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological TransportBotanyCarbonPhotosynthesisPositron-Emission TomographySorghumCarbon

Identifiers

PMID26552889
PMCPMC4640171
OpenAlexW2157331085

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.