Structural, functional, and evolutionary analysis of Cry toxins of Bacillus thuringiensis: an in silico study

Abstract

Abstract Background Bacillus thuringiensis (Bt) is a gram-positive spore-forming soil bacterium that synthesizes crystalline (Cry) protein, which is toxic and causing pathogenicity against mainly three insect orders: Coleoptera, Diptera, and Lepidoptera. These crystalline protein inclusions, i.e., δ-endotoxins are successfully used as a bio-control agent against insect pests. Main body A total of 58 various Cry proteins belonging to these 3 insect orders were retrieved from SwissProt database and are categorized into different groups. Structural and functional analysis were performed to understand the functional domain arrangements at sequence level as well as at structural level involving both experimental and predicted 3-dimensional models. Besides, the analysis of evolutionary relationship involving all 58 observed Cry proteins at the sequence, domain, and structural levels were done using different bioinformatics tools. Evolutionary analysis revealed that some Cry proteins having toxicity for a specific insect order are found to be clustered for another different insect order, which concludes that they might have toxicity for more than one insect order. Three-dimensional (3D) structure analysis of both experimental and predicted models revealed that proteins might have toxicity for a specific insect order differ in their structural arrangements and was observed in Cry proteins belonging to 3 different insect orders. Conclusions It could be hypothesized that an inner-molecular domain shift or domain insertion/deletion might have taken place during the evolutionary process, which consequently causes structural and functional divergence of Bt. The study output may be helpful for understanding the diversity as well as specificity of the analyzed insecticidal proteins and their application as a biopesticide in the field of agriculture.

Keywords

• Bacillus thuringiensis
• Biopesticides
• Cry toxins
• Bioinformatics
• Phylogenetic analysis