Title
Fine mapping of Ur-3, a historically important rust resistance locus in common bean
Date Issued
01 January 2017
Access level
open access
Resource Type
journal article
Author(s)
United States Department of Agriculture
Publisher(s)
Genetics Society of America
Abstract
Bean rust, caused by Uromyces appendiculatus, is a devastating disease of common bean (Phaseolus vulgaris) in the Americas and Africa. The historically important Ur-3 gene confers resistance to many races of the highly variable bean rust pathogen that overcome other rust resistance genes. Existing molecular markers tagging Ur-3 for use in marker-assisted selection produce false results. Here, we describe the fine mapping of the Ur-3 locus for the development of highly accurate markers linked to Ur-3. An F2 population from the cross Pinto 114 (susceptible) · Aurora (resistant with Ur-3) was evaluated for its reaction to four different races of U. appendiculatus. A bulked segregant analysis using the SNP chip BARCBEAN6K_3 placed the approximate location of Ur-3 in the lower arm of chromosome Pv11. Specific SSR and SNP markers and haplotype analysis of 18 sequenced bean varieties positioned Ur-3 in a 46.5 kb genomic region from 46.96 to 47.01 Mb on Pv11. We discovered in this region the SS68 KASP marker that was tightly linked to Ur-3. Validation of SS68 on a panel of 130 diverse common bean cultivars containing all known rust resistance genes revealed that SS68 was highly accurate and produced no false results. The SS68 marker will be of great value in pyramiding Ur-3 with other rust resistance genes. It will also significantly reduce time and labor associated with the current phenotypic detection of Ur-3. This is the first utilization of fine mapping to discover markers linked to rust resistance in common bean.
Start page
557
End page
569
Volume
7
Issue
2
Language
English
OCDE Knowledge area
Agronomía
Genética, Herencia
Subjects
Scopus EID
2-s2.0-85012923696
PubMed ID
Source
G3: Genes, Genomes, Genetics
ISSN of the container
21601836
Source funding
U.S. Department of Agriculture
Sponsor(s)
The authors thank Rob Parry and Chris Pooley for their assistance with sequence analysis by installing computer hardware and software. This work was supported, in part, by funding from the Norman Borlaug Commemorative Research Initiative of the United States Agency for International Development, project no. 0210-22310-004-96R, and by the United States Department of Agriculture, Agricultural Research Services, project no. 8042-22000-286-00D (M.A.P.-C.). This research was also financially supported by the National Council for Scientific and Technological Development and the Coordination for the Improvement of Higher Education Personnel. The contents of this publication do not necessarily reflect the views or policies of the United States Department of Agriculture, nor does mention of trade names, commercial products, or organizations imply endorsement by the United States government.
Sources of information:
Directorio de Producción Científica
Scopus