| Literature DB >> 19000163 |
Patrick Armengaud1, Kevin Zambaux, Adrian Hills, Ronan Sulpice, Richard J Pattison, Michael R Blatt, Anna Amtmann.
Abstract
The root system is essential for the growth and development of plants. In addition to anchoring the plant in the ground, it is the site of uptake of water and minerals from the soil. Plant root systems show an astonishing plasticity in their architecture, which allows for optimal exploitation of diverse soil structures and conditions. The signalling pathways that enable plants to sense and respond to changes in soil conditions, in particular nutrient supply, are a topic of intensive research, and root system architecture (RSA) is an important and obvious phenotypic output. At present, the quantitative description of RSA is labour intensive and time consuming, even using the currently available software, and the lack of a fast RSA measuring tool hampers forward and quantitative genetics studies. Here, we describe EZ-Rhizo: a Windows-integrated and semi-automated computer program designed to detect and quantify multiple RSA parameters from plants growing on a solid support medium. The method is non-invasive, enabling the user to follow RSA development over time. We have successfully applied EZ-Rhizo to evaluate natural variation in RSA across 23 Arabidopsis thaliana accessions, and have identified new RSA determinants as a basis for future quantitative trait locus (QTL) analysis.Entities:
Mesh:
Year: 2008 PMID: 19000163 DOI: 10.1111/j.1365-313X.2008.03739.x
Source DB: PubMed Journal: Plant J ISSN: 0960-7412 Impact factor: 6.417