Research
Retrospective genomic analysis of sorghum adaptation to temperate-zone grain production
1 Energy Biosciences Institute, University of Illinois, Urbana, IL, USA
2 Department of Crop Sciences, University of Illinois, Urbana, IL, USA
Genome Biology 2013, 14:R68 doi:10.1186/gb-2013-14-6-r68
Published: 26 June 2013Additional files
Additional File 1:
Table S1. SC and EP lines used in this study. Principal components analysis in the EP lines was used to assign SC-EP pairs to subpopulations. Plant height and flowering time phenotypes used for association mapping in the SC lines are also provided.
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Additional File 2:
Figure S1. Enzyme effects on SNP output. Combining two double digests (PstI-HF/HinP1I and PstI-HF/BfaI) nearly doubles the number of SNPs called per sample over one double digest (Pst1-HF/HinP1I).
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Additional File 3:
Figure S2. Principal Component Analysis (PCA) of BTx406 seed source libraries. Twenty-eight libraries were created for BTx406 seed from three different sources (GRIN, Cornell, and Lubbock). The three outlier libraries from the GRIN collection were removed due to low concordance.
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Additional File 4:
Figure S3. Introgression maps for 390 SC lines.
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Additional File 5:
Table S2. Number and percentage of introgressed, unexpected, and informative markers for each SC-EP pair.
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Additional File 6:
Table S3. Physical map positions of unanchored SNPs
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Additional File 7:
Figure S4. Introgression frequency, phenotypic associations, and population differentiation in the Ma1-Dw2 region on sorghum chromosome 6. Panels are the same as in Figures 3 to 6. The locations of Ma1 at 40.3 Mb is shown with a vertical dashed gray line.
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Additional File 8:
Figure S5. PCA of SC lines with and without SNPs in the three major introgressed regions.
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Additional File 9:
Figure S6. Subpopulation-specific introgression frequencies.
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Additional File 10:
Table S4. Phenotypic associations with plant height and flowering time in 580 SC lines.
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Additional File 11:
Table S5. List of barcoded adapters used in library preparation.
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