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Title: A new genetic linkage map of Sorghum bicolor (L.) Moench constructed with SSR markers

item WU, Y
item Huang, Yinghua

Submitted to: Annual International Plant & Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 1/5/2007
Publication Date: 1/15/2007
Citation: Wu, Y.Q., Huang, Y. 2007. A new genetic linkage map of Sorghum bicolor (L.) Moench constructed with SSR markers. In: Proceedings of the XV Annual International Plant & Animal Genome Conference, January 13-17, 2007, San Diego, California. P364.

Interpretive Summary:

Technical Abstract: Sorghum is a diverse genus of C4 monocot plants. The domesticated grain sorghum [Sorghum bicolor (L.) Moench] is among the world’s important cereals, with multiple uses such as for human food, animal feed, and industrial feedstocks. A genetic linkage map of sorghum based on simple sequence repeat (SSR) markers has been constructed using 352 publicly available SSR primer pairs and a population consisting of 277 F2 individuals derived from a cross between the Westland A line and PI 550610. One hundred thirty-two (132) SSR loci appeared polymorphic in the mapping population, and 118 SSRs were mapped onto 16 linkage groups. These mapped SSR loci were distributed throughout all 10 chromosomes of sorghum and spanned a distance of 997.5 cM. More importantly, 38 SSR loci were newly added to the sorghum genetic map in this study. We also compared our map with a previously published sorghum map based on map positions of common loci, which provided a strong support for the alignment of two genetic maps. A novel method was developed for calculating distance between DNA markers, which will be a useful tool for both comparative analysis of genetic markers between linkage maps with different genetic background and alignment of different sorghum genetic maps. This new genetic linkage map carrying additional SSR markers will facilitate mapping quantitative trait loci to the sorghum genome, and has added value in gene isolation by map-based cloning and comparative genome analysis.