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Creating Genomic Infrastructure for Mango Breeding

Date: Sunday, January 12, 2014
Time: 12:10 PM
Room: Towne
Amir Sherman , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Mor Rubinstein , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Ravit Eshed , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Miri Benita , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Mazal Ish-Shalom , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Michal Sharabi , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Ada Rozen , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
David Saada , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Ron Ophir , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Yuval Cohen , Agriculture Research Organization, Volcani Center, Bet Dagan, Israel
Mango is one of the most important fruit crops in tropical and subtropical regions. The lack of genomic resources for mango limits the ability to integrate high throughput genetic approaches into mango breeding. In order to overcome this hurdle, we have sequenced transcriptomes of Keit and Tomy-Etkins mango accessions (using a mixture of RNA from different tissues include leaves, inflorescences, flowers and few fruit developmental stages). As a reference we sequence one of the accessions by using 454-GS Titanium technology. For SNP discovery we applied Illumina HiSeq sequencing of the two accessions transcriptomes. Our reference transcriptome includes 41,096 hits in GeneBank non-redundant protein database, suggesting a relatively high coverage of the mango coding sequences. Out of approximately 15,000  SNPs that were discovered, 480 SNPs  were selected for screening 90 accessions of ARO mango germplasm and an additional set of local mango accessions from our mango breeding program using Fluidigm platform. The genetic screening results were used to analyze the genetic structure of our germplasm collection. Based on the available set of markers and accession we calculated what should be the minimal subset of SNP that can provide unique accession identification (SNP-AID). The SNP-AID can be used for accession identification, validation of crosses and identification of genotype within progenies of crosses. Furthermore we will present our efforts to combine the phenotypic data with our SNP markers in order to identify markers associated with important fruit quality traits.

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