Location: Corn Insects and Crop Genetics Research
Project Number: 5030-21220-005-07-R
Project Type: Reimbursable
Start Date: Jul 1, 2012
End Date: Jun 30, 2013
1)Develop molecular markers (SNPs) that distinguish iron efficient and iron inefficient soybean. 2)Screen ~ 350 genotypes representing public and private IDC breeding lines and cultivars. 3)Score ~ 30 previously untested Accessions and Plant Introductions for iron efficiency and screen them against the markers developed in #1 above. 4)Correlate molecular marker scores with iron efficiency scores. 5)Identify the markers optimal for selecting iron efficient germplasm and make the markers publicly available. 6)Analyze next-generation transcriptome data to identify metabolic pathways involved in iron stress response for the purpose of identifying new candidate genes.
Use the soybean whole genome sequence to search two major iron QTL regions to identify all recognizable regulatory genes and all 'candidate’ genes residing within the QTL region. Regulatory genes and selected candidate genes will be re-sequenced in eight genotypes representing iron efficient and iron inefficient soybean types (Efficient: Clark, A15, Hawkeye, and PI 437654; Inefficient: Anoka, BSR 101, Pride B216, T203). From this resequencing single nucleotide polymorphisms will be identified and SNP markers will be designed. The SNPs will be screened against approximately 350 genotypes representing midwest breeding lines. Screening will done using the 'Sequenome' technology at Iowa State University. Statistical methods will be employed to identify those markers with prediction capabilities in IDC breeding programs. Markers selected will be made available to the public Computationally analyze existing gene expression data to identify metabolic pathways involved in iron stress response. Map these pathways onto SoyCyc and make the information available on SoyBase.