Additional file 2: Table S1. of An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench)
Creators: name: Adugna Woldesemayat
name: Heusden, Peter Van
name: Bongani Ndimba
name: Christoffels, Alan
Publisher: name: figshare
Year: 2017
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: Plant Biology
subject: Computational Biology

description: Summary of sorghum transcript and genomic data. Table S2. Overview of UniGene libraries (build # 30). Table S3. Chromosomal distribution of UniGene clusters mapped to genome. Table S4. Comparison and update of annotation. Table S5. Functional distribution of the novel gene structure models. Table S6. Chromosomal distribution of existing genes modified corresponding to the position and structure of modification. Table S7. Chromosomal distribution of the novel gene structure models. Table S8. Genomic distribution of spliced and retained intron based on PASA analysis. Table S9. Genomic distribution of skipped and retained exons based on PASA analysis. Table S10. PASA based identification of alternative splicing (AS) for the novel genes. Table S11. Patterns of exonic and intronic features in the novel gene structure models.Â Table S12. GO functional enrichment of DR sorghum genes based on orthology groups. Table S13. Databases containing potential candidate DRGs. Table S14. Relevant tools for identification of the candidate gene. Table S15. Functional description of sorghum drought related metabolic pathways. Figure S1. Genes identified by sequence mapping to existing gene models and their annotation status. Figure S2. Pattern of exon and intron number and the average length. Figure S3. Nearest intergenic distances. Figure S4. GO annotation based on blast and mapping to non-redundant databases. Figure S5. Aminoacyl-tRNA biosynthesis (upper) and Cysteine and methionine metabolism (lower). Figure S6. Drug metabolism - other enzymes (upper) and Glucosinolate biosynthesis (lower). Figure S7. Glycerophospholipid metabolism (upper) and Glycerolipid metabolism (lower). Figure S8. Phosphatidylinositol signalling system (upper) and nicotinate and nicotinate metabolism (lower). Figure S9. Pyrimidine metabolism (upper) and purine metabolism (lower). Figure S10. Valine, Luecine and Isoleucine Biosynthesis (upper) and Valine, Luecine and Isoleucine degradation (lower). Figure S11. Pantothenate and CoA biosynthesis. Figure S12. Description of interpro-domain analysis: List of protein signatures identified. Figure S13. Volcano plots for expression profiles based on sorghum drought responsive genes. Figure S14. Volcano plot showing differential expression of genes based on maize expression data. Figure S15. Venn diagram showing distribution of significantly expressed genes. Figure S16. Sorghum % GO-terms assigned toÂ genes identified from maize orthologs. Figure S17. Mapping of GO terms related to responses to stress based on biological process. (PDF 1372 kb)