Plant Antimicrobial Peptides: State of the Art, In Silico Prediction and Perspectives in the Omics Era

Author:

Santos-Silva Carlos André dos1,Zupin Luisa2ORCID,Oliveira-Lima Marx1,Vilela Lívia Maria Batista1,Bezerra-Neto João Pacifico1,Ferreira-Neto José Ribamar1,Ferreira José Diogo Cavalcanti13,Oliveira-Silva Roberta Lane de1ORCID,Pires Carolline de Jesús1,Aburjaile Flavia Figueira1ORCID,Oliveira Marianne Firmino de1,Kido Ederson Akio1,Crovella Sergio24,Benko-Iseppon Ana Maria1

Affiliation:

1. Departamento de Genética, Universidade Federal de Pernambuco, Recife, Brazil

2. Genetic Immunology laboratory, Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, Trieste, Italy

3. Departamento de Genética, Instituto Federal de Pernambuco, Pesqueira, Brazil

4. Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy

Abstract

Even before the perception or interaction with pathogens, plants rely on constitutively guardian molecules, often specific to tissue or stage, with further expression after contact with the pathogen. These guardians include small molecules as antimicrobial peptides (AMPs), generally cysteine-rich, functioning to prevent pathogen establishment. Some of these AMPs are shared among eukaryotes (eg, defensins and cyclotides), others are plant specific (eg, snakins), while some are specific to certain plant families (such as heveins). When compared with other organisms, plants tend to present a higher amount of AMP isoforms due to gene duplications or polyploidy, an occurrence possibly also associated with the sessile habit of plants, which prevents them from evading biotic and environmental stresses. Therefore, plants arise as a rich resource for new AMPs. As these molecules are difficult to retrieve from databases using simple sequence alignments, a description of their characteristics and in silico (bioinformatics) approaches used to retrieve them is provided, considering resources and databases available. The possibilities and applications based on tools versus database approaches are considerable and have been so far underestimated.

Publisher

SAGE Publications

Subject

Applied Mathematics,Computational Mathematics,Computer Science Applications,Molecular Biology,Biochemistry

Reference315 articles.

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