190-1 A SNP-based linkage map of Phaseolus vulgaris constructed via the genotyping-by-sequencing approach.

Poster Number 1015

See more from this Division: ASA Section: Biometry and Statistical Computing
See more from this Session: Genotyping-By-Sequencing Experiments and Analysis: II

Tuesday, November 5, 2013
Tampa Convention Center, East Exhibit Hall

Mehul Bhakta1, Jose Alejandro Clavijo Michelangeli1, Li Zhang2, Raphael Wesly Colbert3, Melanie Correll4, Kenneth J. Boote1, James W. Jones5, Salvador Gezan6, James Beaver7, Juan M. Osorno3, Steven Beebe8, Elvin O. Roman-Paoli9, Idupulapati M. Rao8, Abiezer Gonzalez7, Jaumer Ricaurte8, Martin Otero8 and Carlos Vallejos10, (1)Agronomy, University of Florida, Gainesville, FL
(2)University of Texas-Austin, Austin, TX
(3)North Dakota State University, Fargo, ND
(4)Agr. & Biol. Engineering Dept., University of Florida, Gainesville, FL
(5)Ag. and Bio. Engineering, University of Florida, Gainesville, FL
(6)School of Forest Resources and Conservation, University of Florida, Gainesville, FL
(7)University of Puerto Rico at Mayagüez, Mayagüez, PR
(8)CIAT, Cali, Colombia
(9)University of Puerto Rico at Mayagüez, Mayaguez, PR
(10)Horticultural Sciences, University of Florida, Gainesville, FL
Abstract:
Crop models need to be calibrated for each different genotype, thereby yielding a set of genotype-specific parameters (GSPs). This signifies the fact that these GSPs contain genetic information. Our goal is to extract this genetic information via QTL analysis of a RIL population, and turn the GSPs into mathematical functions of the genotype. This conversion is expected to facilitate genotype-based prediction of the phenotype. To fulfill our objective, we have constructed a robust SNP-based linkage map in common bean based on a [Mesoamerican x Andean] RIL population comprised of 188 individuals using the genotyping-by-sequencing (GBS) technique, but without a reference genome sequence. The map is comprised of 11 linkage groups, 1118 GBS-based SNP markers, 200 RFLP (BNG) markers and 12 Glycine max-intron based SNP markers. The map covers 1228 cM (Kosambi function; LOD 8). Filtering out co-segregating markers yielded a total of 699 unique co-dominant marker loci with an average marker interval of 1.7 cM. Seven QTLs controlling time from emergence to first anthesis have already been identified utilizing this map.

See more from this Division: ASA Section: Biometry and Statistical Computing
See more from this Session: Genotyping-By-Sequencing Experiments and Analysis: II