24446 Development of Genomic Information in American Cranberry

Thursday, August 11, 2016: 11:30 AM
Savannah 1 Room (Sheraton Hotel Atlanta)
Giovanny Eduardo Covarrubias-Pazaran , University of Wisconsin, Madison, WI
Brandon Schlautman , University of Wisconsin, Madison, WI
Luis Diaz Garcia , University of Wisconsin, Madison, WI
Lorraine Rodriguez-Bonilla , University of Wisconsin, Madison, WI
Joseph Deutsch , University of Wisconsin, Madison, WI
Edward Grygleski , Valley Corporation, Tomah, WI
Massimo Iorizzo , North Carolina State University, Kannapolis, NC
James Polashock , USDA-ARS, Chatsworth, NJ
Nicholi Vorsa , Rutgers University, Chatsworth, NJ, United States
Juan Zalapa , USDA-ARS, VCRU, Madison, WI
The application of genotyping by sequencing (GBS) approaches are excellent tools to characterize the genomic structure of recently domesticated (~200 years) and understudied species, such as cranberry (Vaccinium macrocarpon Ait.), by generating large numbers of markers for genomic studies such as genetic mapping. We identified 10842 potentially mappable single nucleotide polymorphisms (SNPs) in a cranberry pseudo-testcross population wherein 5477 SNPs and 211 short sequence repeats (SSRs) were used to construct a high density linkage map in cranberry of which a total of 4849 markers were mapped. Recombination frequency, linkage disequilibrium (LD), and segregation distortion at the genomic level in the parental and integrated linkage maps were characterized for first time in cranberry. The 4849 point map consisted of twelve linkage groups spanning 1112 cM, which anchored 2381 nuclear scaffolds accounting for ~13 Mb of the estimated 470 Mb cranberry genome. Bin mapping identified 592 and 672 unique bins in the parentals, and a total of 1676 unique marker positions in the integrated map. Microsynteny analyses comparing the order of anchored cranberry scaffolds to their homologous positions in kiwifruit, grape, and coffee genomes suggested initial evidence of homology. GBS data was used to rapidly saturate the cranberry genome with markers in a pseudo-testcross population. Collinearity between this saturated genetic map and previous cranberry SSR maps suggests that the SNP locations represent accurate marker order and chromosome structure of the cranberry genome. SNPs greatly improved current marker genome coverage, which allowed for genome-wide structure investigations such as segregation distortion, recombination, linkage disequilibrium, and synteny analyses. In the future, NGS can be used to accelerate molecular breeding through genome-wide association studies (GWAS) and genomic selection (GS).
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