Literature DB >> 18943458

Assessment of common scab-inducing pathogen effects on potato underground organs via computed tomography scanning.

L Han1, P Dutilleul, S O Prasher, C Beaulieu, D L Smith.   

Abstract

Common scab caused by Streptomyces scabies is a major bacterial disease of potato (Solanum tuberosum). Its best known symptom is superficial lesions on the surface of progeny potato tubers, observed at harvesting. In this study, effects of S. scabies on space occupancy by underground organs and on structural complexity of root systems are investigated during growth via computed tomography (CT) scanning. Two groups of potato plants were grown in a greenhouse in middle-sized plastic pots. Using a high-resolution X-ray CT scanner formerly used for medical applications, their underground organs and surrounding medium (sieved and autoclaved homogeneous sand) were submitted to CT scanning 4, 6, and 8 weeks after planting. For one group, sand was inoculated with the common scab-inducing pathogen (S. scabies EF-35) at potting. Space occupancy by underground organs was estimated via curve fitting applied to histograms of CT scan data, while three-dimensional skeletal images were used for fractal analysis. Root systems of diseased plants were found to be less complex than those of healthy plants 4 weeks after planting, and the relative growth rates derived from space occupancy measures were of different sign between the two groups from week 4 to week 8.

Entities:  

Mesh:

Year:  2008        PMID: 18943458     DOI: 10.1094/PHYTO-98-10-1118

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  8 in total

1.  Comparative transcriptome analysis coupled to X-ray CT reveals sucrose supply and growth velocity as major determinants of potato tuber starch biosynthesis.

Authors:  Stephanus J Ferreira; Melanie Senning; Sophia Sonnewald; Petra-Maria Kessling; Ralf Goldstein; Uwe Sonnewald
Journal:  BMC Genomics       Date:  2010-02-05       Impact factor: 3.969

2.  Computed tomography scanning can monitor the effects of soil medium on root system development: an example of salt stress in corn.

Authors:  Sowmyalakshmi Subramanian; Liwen Han; Pierre Dutilleul; Donald L Smith
Journal:  Front Plant Sci       Date:  2015-04-28       Impact factor: 5.753

3.  Unraveling the hydrodynamics of split root water uptake experiments using CT scanned root architectures and three dimensional flow simulations.

Authors:  Nicolai Koebernick; Katrin Huber; Elien Kerkhofs; Jan Vanderborght; Mathieu Javaux; Harry Vereecken; Doris Vetterlein
Journal:  Front Plant Sci       Date:  2015-05-29       Impact factor: 5.753

4.  Effects of damping-off caused by Rhizoctonia solani anastomosis group 2-1 on roots of wheat and oil seed rape quantified using X-ray Computed Tomography and real-time PCR.

Authors:  Craig J Sturrock; James Woodhall; Matthew Brown; Catherine Walker; Sacha J Mooney; Rumiana V Ray
Journal:  Front Plant Sci       Date:  2015-06-24       Impact factor: 5.753

5.  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

6.  Box-Counting Dimension Revisited: Presenting an Efficient Method of Minimizing Quantization Error and an Assessment of the Self-Similarity of Structural Root Systems.

Authors:  Martin Bouda; Joshua S Caplan; James E Saiers
Journal:  Front Plant Sci       Date:  2016-02-18       Impact factor: 5.753

Review 7.  Sensor-based phenotyping of above-ground plant-pathogen interactions.

Authors:  Florian Tanner; Sebastian Tonn; Jos de Wit; Guido Van den Ackerveken; Bettina Berger; Darren Plett
Journal:  Plant Methods       Date:  2022-03-21       Impact factor: 5.827

8.  Concepts and Analyses in the CT Scanning of Root Systems and Leaf Canopies: A Timely Summary.

Authors:  Jonathan A Lafond; Liwen Han; Pierre Dutilleul
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

  8 in total

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