Table of Contents
Molecular Biology International
Volume 2015, Article ID 532386, 11 pages
http://dx.doi.org/10.1155/2015/532386
Research Article

Identification of Putative Molecular Markers Associated with Root Traits in Coffea canephora Pierre ex Froehner

1Department of Crop Physiology, University of Agriculture Sciences, Gandhi Krishi Vignana Ken-dra, Bangalore, Karnataka 560 065, India
2Division of Plant Physiology, Central Coffee Research Institute, Balehonnur, Chikmagalur District, Karnataka 577 112, India

Received 25 June 2014; Accepted 11 January 2015

Academic Editor: Surjit Kaila S. Srai

Copyright © 2015 Devaraja Achar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Coffea canephora exhibit poor root system and are very sensitive to drought stress that affects growth and production. Deeper root system has been largely empirical as better avoidance to soil water limitation in drought condition. The present study aimed to identify molecular markers linked to high root types in Coffea canephora using molecular markers. Contrasting parents, L1 valley with low root and S.3334 with high root type, were crossed, and 134 F1 individuals were phenotyped for root and associated physiological traits (29 traits) and genotyped with 41 of the 320 RAPD and 9 of the 55 SSR polymorphic primers. Single marker analysis was deployed for detecting the association of markers linked to root associated traits by SAS software. There were 13 putative RAPD markers associated with root traits such as root length, secondary roots, root dry weight, and root to shoot ratio, in which root length associated marker OPS1850 showed high phenotypic variance of 6.86%. Two microsatellite markers linked to root length (CPCM13400) and root to shoot ratio (CM211300). Besides, 25 markers were associated with more than one trait and few of the markers were associated with positively related physiological traits and can be used in marker assisted trait selection.