Literature DB >> 26729797

Quantitative 3D Analysis of Plant Roots Growing in Soil Using Magnetic Resonance Imaging.

Dagmar van Dusschoten1, Ralf Metzner2, Johannes Kochs2, Johannes A Postma2, Daniel Pflugfelder2, Jonas Bühler2, Ulrich Schurr2, Siegfried Jahnke2.   

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.
© 2016 American Society of Plant Biologists. All Rights Reserved.

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Year:  2016        PMID: 26729797      PMCID: PMC4775118          DOI: 10.1104/pp.15.01388

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  21 in total

Review 1.  Is it good noise? The role of developmental instability in the shaping of a root system.

Authors:  Brian G Forde
Journal:  J Exp Bot       Date:  2009-09-16       Impact factor: 6.992

Review 2.  The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds.

Authors:  J F Schenck
Journal:  Med Phys       Date:  1996-06       Impact factor: 4.071

3.  RooTrak: automated recovery of three-dimensional plant root architecture in soil from x-ray microcomputed tomography images using visual tracking.

Authors:  Stefan Mairhofer; Susan Zappala; Saoirse R Tracy; Craig Sturrock; Malcolm Bennett; Sacha J Mooney; Tony Pridmore
Journal:  Plant Physiol       Date:  2011-12-21       Impact factor: 8.340

Review 4.  MRI of intact plants.

Authors:  Henk Van As; Tom Scheenen; Frank J Vergeldt
Journal:  Photosynth Res       Date:  2009-08-27       Impact factor: 3.573

5.  Combined MRI-PET dissects dynamic changes in plant structures and functions.

Authors:  Siegfried Jahnke; Marion I Menzel; Dagmar van Dusschoten; Gerhard W Roeb; Jonas Bühler; Senay Minwuyelet; Peter Blümler; Vicky M Temperton; Thomas Hombach; Matthias Streun; Simone Beer; Maryam Khodaverdi; Karl Ziemons; Heinz H Coenen; Ulrich Schurr
Journal:  Plant J       Date:  2009-04-06       Impact factor: 6.417

6.  Nuclear magnetic resonance: a tool for imaging belowground damage caused by Heterodera schachtii and Rhizoctonia solani on sugar beet.

Authors:  C Hillnhütter; R A Sikora; E-C Oerke; D van Dusschoten
Journal:  J Exp Bot       Date:  2011-09-23       Impact factor: 6.992

7.  Magnetic resonance imaging of sugar beet taproots in soil reveals growth reduction and morphological changes during foliar Cercospora beticola infestation.

Authors:  Simone Schmittgen; Ralf Metzner; Dagmar Van Dusschoten; Marcus Jansen; Fabio Fiorani; Siegfried Jahnke; Uwe Rascher; Ulrich Schurr
Journal:  J Exp Bot       Date:  2015-04-01       Impact factor: 6.992

8.  Root anatomical phenes predict root penetration ability and biomechanical properties in maize (Zea Mays).

Authors:  Joseph G Chimungu; Kenneth W Loades; Jonathan P Lynch
Journal:  J Exp Bot       Date:  2015-04-22       Impact factor: 6.992

9.  Belowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy.

Authors:  Ralf Metzner; Dagmar van Dusschoten; Jonas Bühler; Ulrich Schurr; Siegfried Jahnke
Journal:  Front Plant Sci       Date:  2014-09-16       Impact factor: 5.753

10.  Recovering complete plant root system architectures from soil via X-ray μ-Computed Tomography.

Authors:  Stefan Mairhofer; Susan Zappala; Saoirse Tracy; Craig Sturrock; Malcolm John Bennett; Sacha Jon Mooney; Tony Paul Pridmore
Journal:  Plant Methods       Date:  2013-03-20       Impact factor: 4.993

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  53 in total

1.  Hydrogel-based transparent soils for root phenotyping in vivo.

Authors:  Lin Ma; Yichao Shi; Oskar Siemianowski; Bin Yuan; Timothy K Egner; Seyed Vahid Mirnezami; Kara R Lind; Baskar Ganapathysubramanian; Vincenzo Venditti; Ludovico Cademartiri
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-14       Impact factor: 11.205

2.  An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients.

Authors:  Jennifer E Schmidt; Carolyn Lowry; Amelie C M Gaudin
Journal:  J Vis Exp       Date:  2018-10-22       Impact factor: 1.355

3.  Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures.

Authors:  Ni Jiang; Eric Floro; Adam L Bray; Benjamin Laws; Keith E Duncan; Christopher N Topp
Journal:  Plant Cell       Date:  2019-05-23       Impact factor: 11.277

4.  Spatially Resolved Root Water Uptake Determination Using a Precise Soil Water Sensor.

Authors:  Dagmar van Dusschoten; Johannes Kochs; Christian W Kuppe; Viktor A Sydoruk; Valentin Couvreur; Daniel Pflugfelder; Johannes A Postma
Journal:  Plant Physiol       Date:  2020-09-04       Impact factor: 8.340

Review 5.  Recent trends in root phenomics of plant systems with available methods- discrepancies and consonances.

Authors:  Mohammad Urfan; Shubham Sharma; Haroon Rashid Hakla; Prakriti Rajput; Sonali Andotra; Praveen K Lehana; Renu Bhardwaj; M Suhail Khan; Ranjan Das; Sunil Kumar; Sikander Pal
Journal:  Physiol Mol Biol Plants       Date:  2022-07-20

Review 6.  Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques.

Authors:  Xi Zhang; Yi Man; Xiaohong Zhuang; Jinbo Shen; Yi Zhang; Yaning Cui; Meng Yu; Jingjing Xing; Guangchao Wang; Na Lian; Zijian Hu; Lingyu Ma; Weiwei Shen; Shunyao Yang; Huimin Xu; Jiahui Bian; Yanping Jing; Xiaojuan Li; Ruili Li; Tonglin Mao; Yuling Jiao; Haiyun Ren; Jinxing Lin
Journal:  Sci China Life Sci       Date:  2021-03-12       Impact factor: 6.038

Review 7.  Silicon Effects on the Root System of Diverse Crop Species Using Root Phenotyping Technology.

Authors:  Pooja Tripathi; Sangita Subedi; Abdul Latif Khan; Yong-Suk Chung; Yoonha Kim
Journal:  Plants (Basel)       Date:  2021-04-28

8.  DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays).

Authors:  Suxing Liu; Carlos Sherard Barrow; Meredith Hanlon; Jonathan P Lynch; Alexander Bucksch
Journal:  Plant Physiol       Date:  2021-10-05       Impact factor: 8.340

9.  Physical rupture of the xylem in developing sweet cherry fruit causes progressive decline in xylem sap inflow rate.

Authors:  Eckhard Grimm; Daniel Pflugfelder; Dagmar van Dusschoten; Andreas Winkler; Moritz Knoche
Journal:  Planta       Date:  2017-06-16       Impact factor: 4.116

10.  ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.

Authors:  Nicolás Gaggion; Federico Ariel; Vladimir Daric; Éric Lambert; Simon Legendre; Thomas Roulé; Alejandra Camoirano; Diego H Milone; Martin Crespi; Thomas Blein; Enzo Ferrante
Journal:  Gigascience       Date:  2021-07-20       Impact factor: 6.524

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