High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)

Individual cone snail ( Conus sp.) contains thousands of bioactive peptides, but there are limited studies on its antimicrobial peptides (AMPs). Here, we investigated AMPs along with AMP-derived genes in the representative Chinese tubular C. betulinus ) by integration our previously published multi-omics (genomics, transcriptomics, and peptidomics) data. We identified a total 466 putative from genome, most them were annotated as histones . While at mRNA level, only 77 confirmed transcriptomic evidence, among Ubiquicidin, cgUbiquitin, Ap, VK10 abundant transcripts venom gland. In addition, 30 further validated peptidomics After silico analysis including 3D modeling, 11 chemically synthesized for an vitro assessment, eight proved good antifungal activity. summary, this work systematically characterized AMP repertoire This valuable genetic resource provides solid foundation in-depth therapeutic applications drug development.