Mathematical modeling of positron emission tomography (PET) data to assess radiofluoride transport in living plants following petiolar administration
Abstract
Background: Ion transport is a fundamental physiological process that can be studied non-invasively in living plants with radiotracer imaging methods. Fluoride is a known phytotoxic pollutant and understanding its transport in plants after leaf absorption is of interest to those in agricultural areas near industrial sources of airborne fluoride. Here we report the novel use of a commercial, high-resolution, animal positron emission tomography (PET) scanner to trace a bolus of [¹⁸F]fluoride administered via bisected petioles of Brassica oleracea, an established model species, to simulate whole plant uptake of atmospheric fluoride. This methodology allows for the first time mathematical compartmental modeling of fluoride transport in the living plant. Radiotracer kinetics in the stem were described with a single-parameter free- and trapped-compartment model and mean arrival times at different stem positions were calculated from the free-compartment time-activity curves. Results: After initiation of administration at the bisected leaf stalk, [¹⁸F] radioactivity climbed for approximately 10 minutes followed by rapid washout from the stem and equilibration within leaves. Kinetic modeling of transport in the stem yielded a trapping rate of 1.5 +/- 0.3%/min (mean +/- s.d., n = 3), velocity of 2.2 +/- 1.1 cm/min, and trapping fraction of 0.8 +/- 0.5%/cm. Conclusion: Quantitativemore »
- Authors:
-
- Univ. of Wisconsin, Madison, WI (United States)
- Publication Date:
- Research Org.:
- Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1192058
- Grant/Contract Number:
- SC0005281
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Plant Methods
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 1; Journal ID: ISSN 1746-4811
- Publisher:
- BioMed Central
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; ion transport; positron emission tomography; radiotracer; kinetic modeling; brassica oleracea
Citation Formats
Converse, Alexander K., Ahlers, Elizabeth O., Bryan, Tom W., Hetue, Jackson D., Lake, Katherine A., Ellison, Paul A., Engle, Jonathan W., Barnhart, Todd E., Nickles, Robert J., Williams, Paul H., and DeJesus, Onofre T. Mathematical modeling of positron emission tomography (PET) data to assess radiofluoride transport in living plants following petiolar administration. United States: N. p., 2015.
Web. doi:10.1186/s13007-015-0061-y.
Converse, Alexander K., Ahlers, Elizabeth O., Bryan, Tom W., Hetue, Jackson D., Lake, Katherine A., Ellison, Paul A., Engle, Jonathan W., Barnhart, Todd E., Nickles, Robert J., Williams, Paul H., & DeJesus, Onofre T. Mathematical modeling of positron emission tomography (PET) data to assess radiofluoride transport in living plants following petiolar administration. United States. https://doi.org/10.1186/s13007-015-0061-y
Converse, Alexander K., Ahlers, Elizabeth O., Bryan, Tom W., Hetue, Jackson D., Lake, Katherine A., Ellison, Paul A., Engle, Jonathan W., Barnhart, Todd E., Nickles, Robert J., Williams, Paul H., and DeJesus, Onofre T. Sun .
"Mathematical modeling of positron emission tomography (PET) data to assess radiofluoride transport in living plants following petiolar administration". United States. https://doi.org/10.1186/s13007-015-0061-y. https://www.osti.gov/servlets/purl/1192058.
@article{osti_1192058,
title = {Mathematical modeling of positron emission tomography (PET) data to assess radiofluoride transport in living plants following petiolar administration},
author = {Converse, Alexander K. and Ahlers, Elizabeth O. and Bryan, Tom W. and Hetue, Jackson D. and Lake, Katherine A. and Ellison, Paul A. and Engle, Jonathan W. and Barnhart, Todd E. and Nickles, Robert J. and Williams, Paul H. and DeJesus, Onofre T.},
abstractNote = {Background: Ion transport is a fundamental physiological process that can be studied non-invasively in living plants with radiotracer imaging methods. Fluoride is a known phytotoxic pollutant and understanding its transport in plants after leaf absorption is of interest to those in agricultural areas near industrial sources of airborne fluoride. Here we report the novel use of a commercial, high-resolution, animal positron emission tomography (PET) scanner to trace a bolus of [¹⁸F]fluoride administered via bisected petioles of Brassica oleracea, an established model species, to simulate whole plant uptake of atmospheric fluoride. This methodology allows for the first time mathematical compartmental modeling of fluoride transport in the living plant. Radiotracer kinetics in the stem were described with a single-parameter free- and trapped-compartment model and mean arrival times at different stem positions were calculated from the free-compartment time-activity curves. Results: After initiation of administration at the bisected leaf stalk, [¹⁸F] radioactivity climbed for approximately 10 minutes followed by rapid washout from the stem and equilibration within leaves. Kinetic modeling of transport in the stem yielded a trapping rate of 1.5 +/- 0.3%/min (mean +/- s.d., n = 3), velocity of 2.2 +/- 1.1 cm/min, and trapping fraction of 0.8 +/- 0.5%/cm. Conclusion: Quantitative assessment of physiologically meaningful transport parameters of fluoride in living plants is possible using standard positron emission tomography in combination with petiolar radiotracer administration. Movement of free fluoride was observed to be consistent with bulk flow in xylem, namely a rapid and linear change in position with respect to time. Trapping, likely in the apoplast, was observed. Future applications of the methods described here include studies of transport of other ions and molecules of interest in plant physiology.},
doi = {10.1186/s13007-015-0061-y},
journal = {Plant Methods},
number = 1,
volume = 11,
place = {United States},
year = {Sun Mar 15 00:00:00 EDT 2015},
month = {Sun Mar 15 00:00:00 EDT 2015}
}
Web of Science
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