Development of molecular markers linked to disease resistance genes in common bean based on whole genome sequence.

Plant Sci

Institute of Plant Sciences Paris-Saclay (IPS2), CNRS, INRA, Université Paris-Sud, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, Université Paris-Saclay, Bâtiment 630, 91405 Orsay, France. Electronic address:

Published: January 2016

Common bean (Phaseolus vulgaris) is the most important grain legume for direct human consumption in the world, particularly in developing countries where it constitutes the main source of protein. Unfortunately, common bean yield stability is constrained by a number of pests and diseases. As use of resistant genotypes is the most economic and ecologically safe means for controlling plant diseases, efforts have been made to genetically characterize resistance genes (R genes) in common bean. Despite its agronomic importance, genomic resources available in common bean were limited until the recent sequencing of common bean genome (Andean genotype G19833). Besides allowing the annotation of Nucleotide Binding-Leucine Rich Repeat (NB-LRR) encoding gene family, which is the prevalent class of disease R genes in plants, access to the whole genome sequence of common bean can be of great help for intense selection to increase the overall efficiency of crop improvement programs using marker-assisted selection (MAS). This review presents the state of the art of common bean NB-LRR gene clusters, their peculiar location in subtelomeres and correlation with genetically characterized monogenic R genes, as well as how the availability of the whole genome sequence can boost the development of molecular markers for MAS.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.plantsci.2015.09.006DOI Listing

Publication Analysis

Top Keywords

common bean
32
genome sequence
12
development molecular
8
molecular markers
8
resistance genes
8
common
8
genes common
8
bean
8
sequence common
8
genes
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!