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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE (Open Access)

High throughput phenotyping of root growth dynamics, lateral root formation, root architecture and root hair development enabled by PlaRoM

Nima Yazdanbakhsh A B and Joachim Fisahn A
+ Author Affiliations
- Author Affiliations

A Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam Golm, Germany.

B Corresponding author. Email: yazdanbakhsh@mpimp-golm.mpg.de

This paper originates from a presentation at the 1st International Plant Phenomics Symposium, Canberra, Australia, April 2009.

Functional Plant Biology 36(11) 938-946 https://doi.org/10.1071/FP09167
Submitted: 2 July 2009  Accepted: 15 July 2009   Published: 5 November 2009

Abstract

Plant organ phenotyping by non-invasive video imaging techniques provides a powerful tool to assess physiological traits and biomass production. We describe here a range of applications of a recently developed plant root monitoring platform (PlaRoM). PlaRoM consists of an imaging platform and a root extension profiling software application. This platform has been developed for multi parallel recordings of root growth phenotypes of up to 50 individual seedlings over several days, with high spatial and temporal resolution. PlaRoM can investigate root extension profiles of different genotypes in various growth conditions (e.g. light protocol, temperature, growth media). In particular, we present primary root growth kinetics that was collected over several days. Furthermore, addition of 0.01% sucrose to the growth medium provided sufficient carbohydrates to maintain reduced growth rates in extended nights. Further analysis of records obtained from the imaging platform revealed that lateral root development exhibits similar growth kinetics to the primary root, but that root hairs develop in a faster rate. The compatibility of PlaRoM with currently accessible software packages for studying root architecture will be discussed. We are aiming for a global application of our collected root images to analytical tools provided in remote locations.

Additional keywords: Arabidopsis, growth profiling, video imaging.


Acknowledgements

This work was supported by the Max Planck Society and by a contract to N. Y. We thank Professor Dr M Stitt (MPI Potsdam, Germany) for valuable discussion during the development of PlaRoM.


References


Abramoff MD, Magelhaes PJ, Ram SJ (2004) Image processing with ImageJ. Biophotonics International 11, 36–42. open url image1

Aguirrezabal LAN, Deleens E, Tardieu F (1994) Root elongation rate is accounted for by intercepted PPFD and source–sink relations in-field and laboratory-grown sunflower. Plant, Cell & Environment 17, 443–450.
Crossref | GoogleScholarGoogle Scholar | open url image1

Armengaud P, Zambaux K, Hills A, Sulpice R, Pattison RJ, Blatt MR, Amtmann A (2009) EZ-Rhizo: integrated software for the fast and accurate measurement of root system architecture. The Plant Journal 57, 945–956.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Arsenault JL, Pouleur S, Messier C, Guay R (1995) Win-RHIZO, a root-measuring system with a unique overlap correction method. HortScience 30, 906. open url image1

Basu P, Pal A, Lynch JP, Brown KM (2007) A novel image-analysis technique for kinematic study of growth and curvature. Plant Physiology 145, 305–316.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Dolan L, Davies J (2004) Cell expansion in roots. Current Opinion in Plant Biology 7, 33–39.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Franklin KA (2008) Light and temperature signal crosstalk in plant development. Current Opinion in Plant Biology 12, 1–6.
PubMed |
open url image1

Head GC (1965) Studies of diurnal changes in cherry root growth and nutational movements of apple root tips by time-lapse cinematography. Annals of Botany 29, 219–224. open url image1

Iijima M, Oribe Y, Horibe Y, Kono Y (1998) Time lapse analysis of root elongation rates of rice and sorghum during the day and night. Annals of Botany 81, 603–607.
Crossref | GoogleScholarGoogle Scholar | open url image1

Ishida T, Kurata T, Okada K, Wada T (2008) A genetic regulatory network in the development of trichomes and root hairs. Annual Review of Plant Biology 59, 365–386.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Malamy JE, Benfey PN (1997) Down and out in Arabidopsis: the formation of lateral roots. Trends in Plant Science 2, 390–396.
Crossref | GoogleScholarGoogle Scholar | open url image1

Muller B, Stosser M, Tardieu F (1998) Spatial distributions of tissue expansion and cell division rates are related to irradiance and to sugar content in the growing zone of maize roots. Plant, Cell & Environment 21, 149–158.
Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Murashige T, Skoog F (1962) A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiologia Plantarum 15, 473–497.
Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Nagel KA, Schurr U, Walter A (2006) Dynamics of root growth stimulation in Nicotiana tabacum in increasing light intensity. Plant, Cell & Environment 29, 1936–1945.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Osmont KS, Sibout R, Hardtke CS (2007) Hidden branches: developments in root system architecture. Annual Review of Plant Biology 58, 93–113.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Schellmann S, Hulskamp M, Uhrig J (2007) Epidermal pattern formation in the root and shoot of Arabidopsis. Biochemical Society Transactions 35, 146–148.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Segal E, Kushnir T, Mualem Y, Shani U (2008) Water uptake and hydraulics of the root hair rhizosphere. Vadose Zone Journal 7, 1027–1034.
Crossref | GoogleScholarGoogle Scholar | open url image1

Smith AM, Stitt M (2007) Coordination of carbon supply and plant growth. Plant, Cell & Environment 30, 1126–1149.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Walter A, Spies H, Terjung S, Kusters R, Kirchgessner N, Schurr U (2002) Spatio-temporal dynamics of expansion growth in roots: automatic quantification of diurnal course and temperature response by digital image sequence processing. Journal of Experimental Botany 53, 689–698.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Walter A, Feil R, Schurr U (2003) Expansion dynamics, metabolite composition and substance transfer of the primary root growth zone of Zea mays L. grown in different external nutrient availabilities. Plant, Cell & Environment 26, 1451–1466.
Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Walter A, Schurr U (2005) Dynamics of leaf and root growth: endogenous control versus environmental impact. Annals of Botany 95, 891–900.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Walter A, Silk WK, Schurr U (2009) Environmental effects on spatial and temporal patterns of leaf and root growth. Annual Review of Plant Biology 60, 279–304.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Wiese A, Christ MM, Virnich O, Schurr U, Walter A (2007) Spatio-temporal leaf growth patterns of Arabidopsis thaliana and evidence for sugar control of the diel leaf growth cycle. New Phytologist 174, 752–761.
Crossref | GoogleScholarGoogle Scholar | CAS | PubMed | open url image1

Yazdanbakhsh N , Fisahn J (2007 a) Development of a robot-based platform applied to simultaneous root growth profiling of seedlings growing in a Petri dish. In ‘Proceedings of the 8th WSEAS international conference on mathematics and computers in biology and chemistry (MCBC’07)’. pp. 69–73. (World Scientific and Engineering Academy and Society: Stevens Point, WI)

Yazdanbakhsh N , Fisahn J (2007 b) Investigation of plant root elongation by screening the surface of a Petri dish. In ‘Proceedings of the 2007 international conference on image processing, computer vision, and pattern recognition (IPCV’07)’. pp. 561–565. (CSREA Press: San Diego, CA)