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Cysmotif Searcher Pipeline for Antimicrobial Peptide Identification in Plant Transcriptomes

A. A. Shelenkov1,2,a*, A. A. Slavokhotova1, and T. I. Odintsova1

1Vavilov Institute of General Genetics, Russian Academy of Sciences, 119333 Moscow, Russia

2Central Research Institute of Epidemiology, Rospotrebnadzor, 111123 Moscow, Russia

* To whom correspondence should be addressed.

Received June 24, 2018; Revision received August 23, 2018
In this paper, we present the new Cysmotif searcher pipeline for identification of various antimicrobial peptides (AMPs), the most important components of innate immunity, in plant transcriptomes. Cysmotif searcher reveals and classifies short cysteine-rich amino acid sequences containing an open reading frame and a signal peptide cleavage site. Due to the combination of various search methods, Cysmotif searcher allows to obtain the most complete repertoire of AMPs for one or more transcriptomes in a short amount of time. The pipeline performance is estimated on the model plant Arabidopsis thaliana and nine other plants, including cultivated and wild species. The obtained results are compared to the existing annotation (A. thaliana) and results of conventional homology search (other plants). The comparison is carried out for known families of plant AMPs and newly discovered peptides that could not be assigned to existing families. The applicability of Cysmotif searcher in detecting new AMPs is discussed, and some practical recommendations on the pipeline usage for end users are given. The Cysmotif searcher pipeline is free for academic use and can be downloaded from Github (http://github.com/fallandar/cysmotifsearcher).
KEY WORDS: antimicrobial peptides, protein annotation, motif searching, computational pipeline

DOI: 10.1134/S0006297918110135