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ARS Home » Southeast Area » Charleston, South Carolina » Vegetable Research » Research » Publications at this Location » Publication #199414

Title: MICROSATELLITE BASED GENETIC MAP OF SWEET POTATO

Author
item NIMMAKAYALA, PADMA
item Bohac, Janice
item SAHA, S
item REDDY, UMESH

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 1/10/2004
Publication Date: 1/10/2004
Citation: Nimmakayala, P., Bohac, J., Saha, S., Reddy, U. 2004. Microsatellite based genetic map of sweet potato [Abstract]. Proceedings of the Plant and Animal Genomes Conference XII, p 29.

Interpretive Summary: A genetic map would be an aid to identification of new traits and in understanding fundamental processes in the sweetpotato related to essential functions in the crop and economic qualities like food quality. This map could also be useful in the understanding of the genes involved in multiple pest resistance to insects, diseases, nematodes and weeds. There is a need to enrich the map with new genetic markers for all of these traits. A breeding population was developed by crossing the variety Excel (with resistance to insects, diseases, and weeds) and genotype SC1149-19 (susceptible to insects, diseases, and weeds). From this cross, 50 seedlings from each parent line were used to amplify genetic markers. This knowledge may be useful in designing breeding strategy and may possibly accelerate selection of these traits in seedling offspring from crosses.

Technical Abstract: A genetic map would be an aid to identification of new traits and in understanding fundamental processes in the sweetpotato related to essential functions in the crop and economic qualities like food quality. This map could also be useful in the understanding of the genes involved in multiple pest resistance to insects, diseases, nematodes and weeds. There is a need to enrich the sweetpotato map using simple sequence repeat loci at the interval of one at every 5cM. A genetic map has been developed with microsatellite-amplified polymorphisms for hexaploid sweetpotato (Ipomoea batatas (L.) Lam., 2n=6x = 90) using a segregating population derived from a biparental cross between the cultivars Excel and SC-1149. A random pick of 50 F1s of Excel and 50 F1’s of SC1149-19 were selected for microsatellite amplifications. There are 60 SSR primers that are identified to be polymorphic between parents were used to amplify the 100 seedlings. The number of loci amplified ranged from one to eight. The segregation pattern is classified into simplex, duplex, triplex or quadruplex markers regardless of sweetpotato being an auto, allo, or segmental polyploid. The next step will be to determine the efficacy of the large collection of remaining microstatellite markers (> 500) generated for mapping and their integration into the existing AFLP maps and for elucidation of the homeologous relationships among different linkage groups using microsatellites with multiple loci.