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

Authors :
Carlos André dos Santos-Silva
Luisa Zupin
Marx Oliveira-Lima
Lívia Maria Batista Vilela
João Pacifico Bezerra-Neto
José Ribamar Ferreira-Neto
José Diogo Cavalcanti Ferreira
Roberta Lane de Oliveira-Silva
Carolline de Jesús Pires
Flavia Figueira Aburjaile
Marianne Firmino de Oliveira
Ederson Akio Kido
Sergio Crovella
Ana Maria Benko-Iseppon
Source :
Bioinformatics and Biology Insights, Vol 14 (2020)
Publication Year :
2020
Publisher :
SAGE Publishing, 2020.

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
11779322
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Bioinformatics and Biology Insights
Publication Type :
Academic Journal
Accession number :
edsdoj.3fcd66da933f49098550261b43d76828
Document Type :
article
Full Text :
https://doi.org/10.1177/1177932220952739