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2018 ASHS Annual Conference

Cuccap Project Bioinformatic Platforms

Friday, August 3, 2018: 10:45 AM
Jefferson West (Washington Hilton)
Rebecca Grumet, Michigan State Univ, East Lansing, MI
A primary objective of the CucCAP project is to develop genomic and bioinformatic platforms for sequence data processing and analysis, and genotype, phenotype and QTL databases for the four major cucurbit crops: watermelon, melon, cucumber and squash. To this end we have performed genotyping by sequencing (GBS) analysis of the full USDA PI collections (1000-2000 accessions) for the four crops, and are using these data to develop sequence-informed functional panels of 300-400 accessions per crop representing ~99% of the genetic diversity along with key disease resistance, horticultural and agronomic traits. Sequence and SNP (single nucleotide polymorphism) data along with maps, markers, population and accession phenotyping data, and gene/trait descriptors can be accessed through the centralized cucurbit genomics database (http://cucurbitgenomics.org/) website.