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ARS Home » Northeast Area » Washington, D.C. » National Arboretum » Floral and Nursery Plants Research » Research » Publications at this Location » Publication #216638
Title: Dideoxy polymorphism scanning, a gene-based method for marker development for genetic linkage mapping

Author
item ROTTER, DAVID - RUTGER'S, NEW JERSEY
item Warnke, Scott
item BELANGER, FAITH - RUTGER'S, NEW JERSEY

Submitted to: Molecular Breeding
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/14/2008
Publication Date: 4/2/2008
Citation: Rotter, D., Warnke, S.E., and Belanger, F., 2007. Dideoxy polymorphism scanning, a gene-based method for marker development for genetic linkage mapping. Molecular Breeding. 19:267-274.

Interpretive Summary: One way to speed up the development of new and improved cultivars is to select new plant material based on gene differences rather than through laborious field screening of plant material. However, in order to do this, sequence differences in important genes must be determined. The determination of sequence differences can be a time consuming and difficult process. A new method for determining differences in important genes is demonstrated. This new method has practical application in many species especially heterogeneous out-crossing grass species.

Technical Abstract: One of the fastest growing areas of biotechnology research today is marker-assisted breeding of crops. As a prerequisite to marker assisted breeding, genetic linkage maps are currently being developed for many species. For many purposes gene-based markers are the marker type of choice. The biggest problem in genetic linkage mapping using gene-based markers is the identification of polymorphisms between the parents of the population. To improve the efficiency of marker generation, we have developed a simple, and reasonable-cost method of polymorphism detection termed dideoxy polymorphism scanning. Since most of the time required to develop a gene-based linkage map is spent in identification of useful polymorphisms, this method will significantly shorten the time required for map generation and therefore reduce the overall cost.