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Open Access Research article

Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response

Jamie A O'Rourke1, Rex T Nelson2, David Grant23, Jeremy Schmutz4, Jane Grimwood4, Steven Cannon2, Carroll P Vance5, Michelle A Graham23 and Randy C Shoemaker23*

Author affiliations

1 Department of Genetics, Developmental and Cellular Biology, Iowa State University, Ames, Iowa 50011 USA

2 USDA-ARS, Corn Insect and Crop Genetics Research Unit, Iowa State University, Ames, Iowa 50011 USA

3 Department of Agronomy, Iowa State University, Ames, Iowa 50011 USA

4 Joint Genome Institute – Stanford Human Genome Center, Department of Genetics, Stanford University School of Medicine, Palo Alto, CA 94304 USA

5 USDA-ARS, Plant Science Research Unit, University of Minnesota, St. Paul, MN 55108 USA

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Citation and License

BMC Genomics 2009, 10:376  doi:10.1186/1471-2164-10-376

Published: 13 August 2009

Abstract

Background

Soybeans grown in the upper Midwestern United States often suffer from iron deficiency chlorosis, which results in yield loss at the end of the season. To better understand the effect of iron availability on soybean yield, we identified genes in two near isogenic lines with changes in expression patterns when plants were grown in iron sufficient and iron deficient conditions.

Results

Transcriptional profiles of soybean (Glycine max, L. Merr) near isogenic lines Clark (PI548553, iron efficient) and IsoClark (PI547430, iron inefficient) grown under Fe-sufficient and Fe-limited conditions were analyzed and compared using the Affymetrix® GeneChip® Soybean Genome Array. There were 835 candidate genes in the Clark (PI548553) genotype and 200 candidate genes in the IsoClark (PI547430) genotype putatively involved in soybean's iron stress response. Of these candidate genes, fifty-eight genes in the Clark genotype were identified with a genetic location within known iron efficiency QTL and 21 in the IsoClark genotype. The arrays also identified 170 single feature polymorphisms (SFPs) specific to either Clark or IsoClark. A sliding window analysis of the microarray data and the 7X genome assembly coupled with an iterative model of the data showed the candidate genes are clustered in the genome. An analysis of 5' untranslated regions in the promoter of candidate genes identified 11 conserved motifs in 248 differentially expressed genes, all from the Clark genotype, representing 129 clusters identified earlier, confirming the cluster analysis results.

Conclusion

These analyses have identified the first genes with expression patterns that are affected by iron stress and are located within QTL specific to iron deficiency stress. The genetic location and promoter motif analysis results support the hypothesis that the differentially expressed genes are co-regulated. The combined results of all analyses lead us to postulate iron inefficiency in soybean is a result of a mutation in a transcription factor(s), which controls the expression of genes required in inducing an iron stress response.