Predicting Antimicrobial and Other Cysteine-Rich Peptides in 1267 Plant Transcriptomes.

ABSTRACT: Antimicrobial peptides (AMPs) are a key component of innate immunity in various organisms including bacteria, insects, mammals, and plants. Their mode of action decreases the probability of developing resistance in pathogenic organisms, which makes them a promising object of study. However, molecular biology methods for searching for AMPs are laborious and expensive, especially for plants. Earlier, we developed a computational pipeline for identifying potential AMPs based on the cysteine motifs they usually possess. Since most motifs are too species-specific, a wide-scale screening of novel data is required to maintain the accuracy of searching algorithms. We have performed a search for potential AMPs in 1267 plant transcriptomes using our pipeline. On average, 50-150 peptides were reveale

SUBMITTER: Shelenkov A 

PROVIDER: S-EPMC7168108 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature