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In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants

Legumes associate with root colonizing rhizobia that provide fixed nitrogen to its plant host in exchange for recently fixed carbon. There is a lack of understanding of how individual plants modulate carbon allocation to a nodulated root system as a dynamic response to abiotic stimuli. One reason is...

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Autores principales: Metzner, Ralf, Chlubek, Antonia, Bühler, Jonas, Pflugfelder, Daniel, Schurr, Ulrich, Huber, Gregor, Koller, Robert, Jahnke, Siegfried
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912644/
https://www.ncbi.nlm.nih.gov/pubmed/35270102
http://dx.doi.org/10.3390/plants11050632
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author Metzner, Ralf
Chlubek, Antonia
Bühler, Jonas
Pflugfelder, Daniel
Schurr, Ulrich
Huber, Gregor
Koller, Robert
Jahnke, Siegfried
author_facet Metzner, Ralf
Chlubek, Antonia
Bühler, Jonas
Pflugfelder, Daniel
Schurr, Ulrich
Huber, Gregor
Koller, Robert
Jahnke, Siegfried
author_sort Metzner, Ralf
collection PubMed
description Legumes associate with root colonizing rhizobia that provide fixed nitrogen to its plant host in exchange for recently fixed carbon. There is a lack of understanding of how individual plants modulate carbon allocation to a nodulated root system as a dynamic response to abiotic stimuli. One reason is that most approaches are based on destructive sampling, making quantification of localised carbon allocation dynamics in the root system difficult. We established an experimental workflow for routinely using non-invasive Positron Emission Tomography (PET) to follow the allocation of leaf-supplied (11)C tracer towards individual nodules in a three-dimensional (3D) root system of pea (Pisum sativum). Nitrate was used for triggering a reduction of biological nitrogen fixation (BNF), which was expected to rapidly affect carbon allocation dynamics in the root-nodule system. The nitrate treatment led to a decrease in (11)C tracer allocation to nodules by 40% to 47% in 5 treated plants while the variation in control plants was less than 11%. The established experimental pipeline enabled for the first time that several plants could consistently be labelled and measured using (11)C tracers in a PET approach to quantify C-allocation to individual nodules following a BNF reduction. Our study demonstrates the strength of using (11)C tracers in a PET approach for non-invasive quantification of dynamic carbon allocation in several growing plants over several days. A major advantage of the approach is the possibility to investigate carbon dynamics in small regions of interest in a 3D system such as nodules in comparison to whole plant development.
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spelling pubmed-89126442022-03-11 In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants Metzner, Ralf Chlubek, Antonia Bühler, Jonas Pflugfelder, Daniel Schurr, Ulrich Huber, Gregor Koller, Robert Jahnke, Siegfried Plants (Basel) Article Legumes associate with root colonizing rhizobia that provide fixed nitrogen to its plant host in exchange for recently fixed carbon. There is a lack of understanding of how individual plants modulate carbon allocation to a nodulated root system as a dynamic response to abiotic stimuli. One reason is that most approaches are based on destructive sampling, making quantification of localised carbon allocation dynamics in the root system difficult. We established an experimental workflow for routinely using non-invasive Positron Emission Tomography (PET) to follow the allocation of leaf-supplied (11)C tracer towards individual nodules in a three-dimensional (3D) root system of pea (Pisum sativum). Nitrate was used for triggering a reduction of biological nitrogen fixation (BNF), which was expected to rapidly affect carbon allocation dynamics in the root-nodule system. The nitrate treatment led to a decrease in (11)C tracer allocation to nodules by 40% to 47% in 5 treated plants while the variation in control plants was less than 11%. The established experimental pipeline enabled for the first time that several plants could consistently be labelled and measured using (11)C tracers in a PET approach to quantify C-allocation to individual nodules following a BNF reduction. Our study demonstrates the strength of using (11)C tracers in a PET approach for non-invasive quantification of dynamic carbon allocation in several growing plants over several days. A major advantage of the approach is the possibility to investigate carbon dynamics in small regions of interest in a 3D system such as nodules in comparison to whole plant development. MDPI 2022-02-25 /pmc/articles/PMC8912644/ /pubmed/35270102 http://dx.doi.org/10.3390/plants11050632 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Metzner, Ralf
Chlubek, Antonia
Bühler, Jonas
Pflugfelder, Daniel
Schurr, Ulrich
Huber, Gregor
Koller, Robert
Jahnke, Siegfried
In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title_full In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title_fullStr In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title_full_unstemmed In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title_short In Vivo Imaging and Quantification of Carbon Tracer Dynamics in Nodulated Root Systems of Pea Plants
title_sort in vivo imaging and quantification of carbon tracer dynamics in nodulated root systems of pea plants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912644/
https://www.ncbi.nlm.nih.gov/pubmed/35270102
http://dx.doi.org/10.3390/plants11050632
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