Genome-wide mining of disease resistance gene analogs using conserved domains

Soodeh Tirnaz, Yueqi Zhang, Jacqueline Batley

Research output: Chapter in Book/Conference paperChapter

Abstract

The production of legume crop species is severely affected by disease, imposing a significant yield loss annually worldwide. Plant resistance gene analogs (RGAs) play specific roles in plant resistance responses, and their identification and subsequent application in breeding programs help to reduce this yield loss. RGAs contain conserved domains and motifs, which can be used for their identification and classification. Nucleotide-binding site-leucine-rich repeat (NLR), receptor like kinase (RLK), and receptor like protein (RLP) genes are the main types of RGAs. Computational identification and characterization of RGAs has been performed successfully among different plant species. Here, we explain the computational workflow for genome-wide RGA identification in legumes.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
Place of PublicationUSA
PublisherHumana Press
Pages365-375
Number of pages11
Edition1
ISBN (Electronic)978-1-0716-0235-5
ISBN (Print)978-1-0716-0234-8
DOIs
Publication statusPublished - 2020

Publication series

NameMethods in Molecular Biology
Volume2107
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

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  • Cite this

    Tirnaz, S., Zhang, Y., & Batley, J. (2020). Genome-wide mining of disease resistance gene analogs using conserved domains. In Methods in Molecular Biology (1 ed., pp. 365-375). (Methods in Molecular Biology; Vol. 2107). Humana Press. https://doi.org/10.1007/978-1-0716-0235-5_20