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ARS Home » Midwest Area » St. Paul, Minnesota » Plant Science Research » Research » Publications at this Location » Publication #228892

Title: Molecular genetic analysis of seed protein control at Linkage Group I in soybean near-isogenic lines

item Bolon, Yung Tsi
item Cannon, Steven
item Graham, Michelle
item MAY, GREG
item Shoemaker, Randy
item Vance, Carroll

Submitted to: Biennial Conference on Molecular and Cellular Biology of the Soybean
Publication Type: Abstract Only
Publication Acceptance Date: 7/11/2008
Publication Date: 7/20/2008
Citation: Bolon, Y.E., Joseph, B., Cannon, S.B., Diers, B., Farmer, A., Graham, M.A., May, G., Muehlbauer, G., Specht, J., Weeks, N., Shoemaker, R.C., Vance, C.P. 2008. Molecular Genetic Analysis of Seed Protein Control at Linkage Group I in Soybean Near-Isogenic Lines [abstract]. 12th Biennial Conference on Molecular and Cellular Biology of the Soybean, July 20-23, 2008, Indianapolis, Indiana.

Interpretive Summary:

Technical Abstract: The molecular mechanisms that influence soybean seed composition are not well understood. Because the profitability of the soybean crop is affected by seed protein and oil content, insight into the genetic controls involved in these traits is important for future soybean improvement. Here we examine the major soybean protein quantitative trait locus at Linkage Group I for candidate genes and pathways involved in seed protein and oil traits. Fine mapping and sequencing allowed us to define the introgressed QTL region at LG I which is estimated to span approximately 9 Mbp. In parallel, we used Affymetrix soybean genome arrays to compare gene expression in a pair of near-isogenic lines that contrast in seed protein and oil. Gene expression profiles were obtained from multiple stages of the developing soybean seed. Analysis of differential gene expression and single feature polymorphisms, along with quantitative RT-PCR and sequencing confirmation, highlighted a handful of candidate genes located within the protein QTL at LG I. High-throughput Solexa sequencing of the same samples supported our Affymetrix data and revealed additional interesting phenomenon at LG I. Presumably, the variations we detected are related to the difference in protein and oil content between these two lines. These results demonstrate the power of gene expression analysis to contrast near-isogenic lines and illustrate how two complementary gene profiling technologies may aid in the annotation of genes in the soybean genome. Further investigation may provide new insight into the genes and pathways involved in protein and oil accumulation in the soybean seed.