Bioinformatics Analysis of the Receptor-Like Kinase (RLK) Superfamily.

Autor: Brustolini OJ; Department of Biochemistry and Molecular Biology, National Institute of Science and Technology in Plant-Pest Interactions, Bioagro, Universidade Federal de Viçosa, 36570.000, Viçosa, MG, Brazil., Silva JC; Department of Biochemistry and Molecular Biology, National Institute of Science and Technology in Plant-Pest Interactions, Bioagro, Universidade Federal de Viçosa, 36570.000, Viçosa, MG, Brazil.; Department of Informatics, Universidade Federal de Viçosa, 36570.000, Viçosa, MG, Brazil., Sakamoto T; Department of Biochemistry and Immunology, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil., Fontes EP; Department of Biochemistry and Molecular Biology, National Institute of Science and Technology in Plant-Pest Interactions, Bioagro, Universidade Federal de Viçosa, 36570.000, Viçosa, MG, Brazil. bbfontes@ufv.br.
Jazyk: angličtina
Zdroj: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2017; Vol. 1578, pp. 123-132.
DOI: 10.1007/978-1-4939-6859-6_9
Abstrakt: Receptor-like kinases (RLKs) play key roles during development and in responses to the environment. In plant immunity, some members of RLKs function as pattern recognition receptors (PRRs), which, upon recognition of pathogen-associated molecular patterns (PAMP), are recruited into active complexes to induce pathogen-triggered immunity (PTI). In this chapter, we describe the bioinformatics tools and procedures for the identification and phylogenetic classification of RLKs from different plant species as a framework for understanding RLK function in signal transduction and immunity.
Databáze: MEDLINE