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Fig. 3 | BMC Biology

Fig. 3

From: Genome-wide identification and analysis of a cotton secretome reveals its role in resistance against Verticillium dahliae

Fig. 3

Functional annotation of the secretome from cotton cultivar Zhongzhimian No.2. A Functions of the secretome predicted by conserved domains. The conserved domains of secreted proteins were predicted by the Interpro database using InterProScan (https://www.ebi.ac.uk/interpro/), and total predicted proteins within the genome were set as the control. Columns in purple and blue color represent the number of proteins of the indicated conserved domains accession (IPR accession) from the secretome (axis on the right side) and whole genome (axis on the left side), respectively; the scale on the secretome or genome axes represents 500 or 20 genes, respectively. The outer circle with heatmap blocks represents the ratio of secretome versus the predicted proteins of the whole genome in the indicated IPR accession. The blue boxes link to IPR accessions represent the high ratio of indicated conserved domains in the secretome (number in red color) versus the genome (number in black color). B Comparison of the Gene Ontology (GO) annotation between predicted encoded proteins from the whole genome versus the secretome. Significant enrichment was determined by a Pearson chi-square test at P < 0.001, and the items with a green-colored background represent a significantly higher functional enrichment in the secretome versus those from the whole genome. C Enrichment of secreted proteins in the phenylpropanoid biosynthesis pathway. The potential pathways were predicted by the KEGG database (https://www.kegg.jp/), and members with homologs of phenylpropanoid biosynthesis pathway (Accession ID: ghi00940) were selected for conceptualization. D Enrichment of secreted proteins with predicted polysaccharide metabolism function. The secreted proteins associating with four polysaccharide metabolism pathways were selected for conceptualization. E Statistics of gene numbers with functional annotation of the genome and secretome in GO and KEGG database

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