In silico strategic curation, retrieval and prediction of novel antimicrobial peptide from Locusta migratoria transcriptome
Abstract
Abstract Evolutionary immune system upgradation is done by all living organism to survive from the invading pathogens. Insects has a strong defense system comprising of anatomical barrier, humoral antimicrobial peptide (AMP) production and cellular immune components. Locusta migratoria (L. migratoria) is an agricultural pest insect migrating long distance might encounter distinct pathogens. Owing to this, we aimed in identifying AMPs present in the L. migratoria and elucidate the antimicrobial activity. The migratory locust was immunized with Escherichia coli, Staphylococcus aureus, Candida albicans mixture, then RNA was isolated and sequenced. The L. migratoria transcriptome was de novo assembled using trinity and screened for AMPs propensity specifically molecular and aggregation properties. The novelty is tested by blasting in known AMP databases. Finally, obtained novel putative AMPs were then tested for antimicrobial and hemolytic activity. The prediction resulted in 3,524 putative AMPs which was further screened down to ten AMPs for final testing. Two peptides showing promising antimicrobial effects were obtained. All the analyzed peptides showed no hemolysis confirms its non-toxicity. Thus, our peptides could be promising drug candidate and can be used as an alternative to antibacterial or antifungal therapy with further validations.
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