In Silico Functional Prediction of CAS2, a Protein Specifically Expressed in Appressorium and Required for Pathogenicity of Colletotrichum gloeosporioides
No Thumbnail Available
Date
2022-01-19
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumber Daya Genetik Pertanian
Abstract
Abstract. Colletotrichum appressoria specific gene (CAS2) expressed during appressorium formation of Colletotrichum gloeosporioides play important role as virulence factors. Determination of the CAS2 protein structure could help deduction of its function and interaction with other factors. The current study aimed to assess in the functional and
structural properties of the CAS2 by in silico analyses. CAS2 sequence submitted to the online tool Gene Ontology Functional Enrichment Annotation Tool (GO FEAT) in order to search for homology. The biological importance of the annotated products were characterized based on the analyses of physicochemical properties, subcellular localization, molecular function, protein-protein interaction networks, and 3D structural protein modelling. The results showed that CAS2 is a hydrophobic protein with an average molecular weight of around 46.2 kDa. The N-terminal amino acid (aa) sequence of CAS2 was composed of 22 amino acid residues of signal peptide. The high score probability (1.840) of subcellular location prediction showed that this protein located in plasma membrane. Based on putative transmembrane prediction software, the CAS2 protein is composed of three alpha-helical transmembrane domains with the longest of C-terminal of amino acid residues in cytoplasm. CELLO2GO server predicted that the CAS2 is a structural protein functioning as enzyme and ion binding. Protein interaction network resolved by STRING web server revealed 10 potential interacting protein associates with CAS2. These in silico analysis offered excellent and reliable information for functional characterization of CAS2 protein by using the advanced tools and techniques of computational biology.
Description
Keywords
Protein, enzyme, Colletotrichum gloeosporioides