Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging
Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotr...
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Published in | Plant physiology (Bethesda) Vol. 170; no. 3; pp. 1176 - 1188 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Society of Plant Biologists
01.03.2016
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Subjects | |
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Abstract | Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotrons), or are destructive (e.g. soil coring). On the other hand, modalities such as magnetic resonance imaging (MRI) are noninvasive and allow high-quality three-dimensional imaging of roots in soil. Here, we present a plant root imaging and analysis pipeline using MRI together with an advanced image visualization and analysis software toolbox named NMRooting. Pots up to 117 mm in diameter and 800 mm in height can be measured with the 4.7 T MRI instrument used here. For 1.5 L pots (81 mm diameter, 300 mm high), a fully automated system was developed enabling measurement of up to 18 pots per day. The most important root traits that can be nondestructively monitored over time are root mass, length, diameter, tip number, and growth angles (in two-dimensional polar coordinates) and spatial distribution. Various validation measurements for these traits were performed, showing that roots down to a diameter range between 200 μm and 300 μm can be quantitatively measured. Root fresh weight correlates linearly with root mass determined by MRI. We demonstrate the capabilities of MRI and the dedicated imaging pipeline in experimental series performed on soil-grown maize (Zea mays) and barley (Hordeum vulgare) plants. |
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AbstractList | Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotrons), or are destructive (e.g. soil coring). On the other hand, modalities such as magnetic resonance imaging (MRI) are noninvasive and allow high-quality three-dimensional imaging of roots in soil. Here, we present a plant root imaging and analysis pipeline using MRI together with an advanced image visualization and analysis software toolbox named NMRooting. Pots up to 117 mm in diameter and 800 mm in height can be measured with the 4.7 T MRI instrument used here. For 1.5 L pots (81 mm diameter, 300 mm high), a fully automated system was developed enabling measurement of up to 18 pots per day. The most important root traits that can be nondestructively monitored over time are root mass, length, diameter, tip number, and growth angles (in two-dimensional polar coordinates) and spatial distribution. Various validation measurements for these traits were performed, showing that roots down to a diameter range between 200 μm and 300 μm can be quantitatively measured. Root fresh weight correlates linearly with root mass determined by MRI. We demonstrate the capabilities of MRI and the dedicated imaging pipeline in experimental series performed on soil-grown maize (Zea mays) and barley (Hordeum vulgare) plants. Magnetic resonance imaging (MRI) enables nondestructive 3D imaging and quantification of roots or root system architecture in soil and is suited for automated and routine measurements of root development. Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root growth require either artificial growing conditions (e.g. hydroponics), are severely restricted in the fraction of roots detectable (e.g. rhizotrons), or are destructive (e.g. soil coring). On the other hand, modalities such as magnetic resonance imaging ( MRI ) are noninvasive and allow high-quality three-dimensional imaging of roots in soil. Here, we present a plant root imaging and analysis pipeline using MRI together with an advanced image visualization and analysis software toolbox named NMRooting. Pots up to 117 mm in diameter and 800 mm in height can be measured with the 4.7 T MRI instrument used here. For 1.5 l pots (81 mm diameter, 300 mm high), a fully automated system was developed enabling measurement of up to 18 pots per day. The most important root traits that can be nondestructively monitored over time are root mass, length, diameter, tip number, and growth angles (in two-dimensional polar coordinates) and spatial distribution. Various validation measurements for these traits were performed, showing that roots down to a diameter range between 200 μm and 300 μm can be quantitatively measured. Root fresh weight correlates linearly with root mass determined by MRI . We demonstrate the capabilities of MRI and the dedicated imaging pipeline in experimental series performed on soil-grown maize ( Zea mays ) and barley ( Hordeum vulgare ) plants. |
Author | van Dusschoten, Dagmar Schurr, Ulrich Jahnke, Siegfried Postma, Johannes A. Bühler, Jonas Metzner, Ralf Kochs, Johannes Pflugfelder, Daniel |
Author_xml | – sequence: 1 givenname: Dagmar surname: van Dusschoten fullname: van Dusschoten, Dagmar – sequence: 2 givenname: Ralf surname: Metzner fullname: Metzner, Ralf – sequence: 3 givenname: Johannes surname: Kochs fullname: Kochs, Johannes – sequence: 4 givenname: Johannes A. surname: Postma fullname: Postma, Johannes A. – sequence: 5 givenname: Daniel surname: Pflugfelder fullname: Pflugfelder, Daniel – sequence: 6 givenname: Jonas surname: Bühler fullname: Bühler, Jonas – sequence: 7 givenname: Ulrich surname: Schurr fullname: Schurr, Ulrich – sequence: 8 givenname: Siegfried surname: Jahnke fullname: Jahnke, Siegfried |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26729797$$D View this record in MEDLINE/PubMed |
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Copyright | Copyright © 2016 American Society of Plant Biologists 2016 American Society of Plant Biologists. All Rights Reserved. 2016 American Society of Plant Biologists. All Rights Reserved. 2016 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This work was supported in part by the Bundesministerium für Bildung und Forschung (BMBF) under grant no. 0315529/CROP.SENSe.net and in part within the German-Plant-Phenotyping Network under project identification no. 031A053, also funded by BMBF. J.K. and D.v.D. set up the MRI hardware and automated sample handling; D.P., D.v.D., J.A.P., and J.B. developed the data analysis toolbox; D.v.D., R.M., D.P., S.J., and U.S. designed the experiments, which were performed by D.v.D., R.M., and D.P.; and D.v.D., R.M., and S.J. performed the data analysis. All authors contributed to the preparation of the manuscript. The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (www.plantphysiol.org) is: Dagmar van Dusschoten (d.van.dusschoten@fz-juelich.de). www.plantphysiol.org/cgi/doi/10.1104/pp.15.01388 |
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Snippet | Precise measurements of root system architecture traits are an important requirement for plant phenotyping. Most of the current methods for analyzing root... Magnetic resonance imaging (MRI) enables nondestructive 3D imaging and quantification of roots or root system architecture in soil and is suited for automated... |
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SubjectTerms | Breakthrough Technologies Hordeum - anatomy & histology Hordeum - growth & development Imaging, Three-Dimensional - methods Imaging, Three-Dimensional - statistics & numerical data Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Phenotype Plant Roots - anatomy & histology Plant Roots - growth & development Software Soil Zea mays - anatomy & histology Zea mays - growth & development |
Title | Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging |
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