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Fig. 2 | Proteome Science

Fig. 2

From: Label-free quantitative proteomics of Sorghum bicolor reveals the proteins strengthening plant defense against insect pest Chilo partellus

Fig. 2

Statistical multivariate analysis of S. bicolor- C. partellus proteomics study| (A) OPLS-DA score plot, indicates that the induced sorghum varieties tend to have positive values of T score as well as orthogonal T score (except for C1), whereas the un-induced varieties tend to have negative values of orthogonal T score (except for B2) (B) The S-plot obtained from OPLS-DA helps in identifying most significantly differentially expressed proteins in S. bicolor genotypes at steady-state and upon C. partellus infestation. (C) Clustering analysis was used to identify closeness in protein abundance and indicated the distinct signatures between treatments steady-state and C. partellus induced S. bicolor genotypes. Heat-map shows the variation in the protein expression across S. bicolor genotypes at steady-state and upon C. partellus infestation. (D) Heat map showing expression levels of proteins common yet differential amongst S. bicolor genotypes under various treatments - (A-F). Proteins from Pattern3 and Pattern4 have been normalized across rows and each row gives information about a single protein abundance indicated by the UniProt accession number on right. Proteins expressed in these patterns are differentially abundant (over-represented or under-represented) across insect-infested and steady-state comparisons. Graphs on the right, represent expression patterns of the proteins across treatments in resistant and susceptible S. bicolor genotypes

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