W361 Identification of SNP Haplotypes and Prospects of Association Mapping in Watermelon

Date: Saturday, January 14, 2012
Time: 10:20 AM
Room: Golden West
Padma Nimmakayala , Gus R. Douglass Institute and Department of Biology, West Virginia State University, Institute, WV
Yan Tomason , Gus R. Douglass Institute and Department of Biology, West Virginia State University, Institute, WV
Gopinath Vajja , Gus R. Douglass Institute and Department of Biology, West Virginia State University, Institute, WV
Lakshmi Abburi , Gus R. Douglass Institute and Department of Biology, West Virginia State University
Venkatramana Pegadaraju , BioDiagnostics, Riverfalls, WI
Asela Wijeratne , Ohio State University, OH
Amnon Levi , USDA, ARS U.S. Vegetable Lab, Charleston, SC
Umesh Reddy , Gus R. Douglass Institute and Department of Biology, West Virginia State University, Institute, WV
Watermelon is the fifth economically important vegetable crop cultivated world-wide. Implementing Single Nucleotide Polymorphism (SNP) marker technology in watermelon breeding and germplasm evaluation programs holds a key to improve horticulturally important traits. Next-generation sequencing strategies coupled with the high density genotyping platforms offer an opportunity to discover SNP markers and use them in routine genotyping projects in a cost effective manner. We discovered a large number of SNPs (>10,000) using Restriction site Associated DNA (RAD) protocol and Illumina/Solexa paired-end sequencing. Genomic DNAs of mapping parents (PI 244018 of var. citroides and PI270306 of var. lanatus) were used for SNP discovery. A subset of 384 SNPs with high ADT(Assay Design Tool) design scores were idenitfyed for Illumina golden gate genotyping. . Genotyping experiments were carried using the Illumina BeadExpress platform on the genomic DNAs of a mapping population (94 progenies) and 288 genbank accessions containing 273, 9 and 6 accessions of var. lanatus (Citrullus lanatus var. lanatus), citroides (Citrullus lanatus var. citroides) and colocynthis (Citrullus colocynthis) respectively. A genetic map was constructed by integrating SNP data with the previously mapped 120 microsatellite markers. Molecular diversity data was further used to analyze the population structure and LD blocks. We identified SNP haplotypes within the cultivated watermelon. Fruit quality data obtained from the field evaluation of 40 cultivated watermelons provided preliminary insights into the use of SNP data for association mapping strategies.