Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants

Pathogens are among the most limiting factors for crop success and expansion. Thus, finding the underlying genetic cause of pathogen resistance is the main goal for plant geneticists. The activation of a plant’s immune system is mediated by the presence of specific receptors known as disease-resista...

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Autores principales:	Andrea Fernandez-Gutierrez, Juan J. Gutierrez-Gonzalez
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	NBS-LRR genes pathogen resistance R genes NLRs genome complexity reduction Agriculture S
Acceso en línea:	https://doaj.org/article/192d106e38834726b1ac17aa4bb60ee9
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spelling	oai:doaj.org-article:192d106e38834726b1ac17aa4bb60ee92021-11-25T16:09:11ZBioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants10.3390/agronomy111122592073-4395https://doaj.org/article/192d106e38834726b1ac17aa4bb60ee92021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2259https://doaj.org/toc/2073-4395Pathogens are among the most limiting factors for crop success and expansion. Thus, finding the underlying genetic cause of pathogen resistance is the main goal for plant geneticists. The activation of a plant’s immune system is mediated by the presence of specific receptors known as disease-resistance genes (R genes). Typical R genes encode functional immune receptors with nucleotide-binding sites (NBS) and leucine-rich repeat (LRR) domains, making the NBS-LRRs the largest family of plant resistance genes. Establishing host resistance is crucial for plant growth and crop yield but also for reducing pesticide use. In this regard, pyramiding R genes is thought to be the most ecologically friendly way to enhance the durability of resistance. To accomplish this, researchers must first identify the related genes, or linked markers, within the genomes. However, the duplicated nature, with the presence of frequent paralogues, and clustered characteristic of NLRs make them difficult to predict with the classic automatic gene annotation pipelines. In the last several years, efforts have been made to develop new methods leading to a proliferation of reports on cloned genes. Herein, we review the bioinformatic tools to assist the discovery of R genes in plants, focusing on well-established pipelines with an important computer-based component.Andrea Fernandez-GutierrezJuan J. Gutierrez-GonzalezMDPI AGarticleNBS-LRR genespathogen resistanceR genesNLRsgenome complexity reductionAgricultureSENAgronomy, Vol 11, Iss 2259, p 2259 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	NBS-LRR genes pathogen resistance R genes NLRs genome complexity reduction Agriculture S
spellingShingle	NBS-LRR genes pathogen resistance R genes NLRs genome complexity reduction Agriculture S Andrea Fernandez-Gutierrez Juan J. Gutierrez-Gonzalez Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
description	Pathogens are among the most limiting factors for crop success and expansion. Thus, finding the underlying genetic cause of pathogen resistance is the main goal for plant geneticists. The activation of a plant’s immune system is mediated by the presence of specific receptors known as disease-resistance genes (R genes). Typical R genes encode functional immune receptors with nucleotide-binding sites (NBS) and leucine-rich repeat (LRR) domains, making the NBS-LRRs the largest family of plant resistance genes. Establishing host resistance is crucial for plant growth and crop yield but also for reducing pesticide use. In this regard, pyramiding R genes is thought to be the most ecologically friendly way to enhance the durability of resistance. To accomplish this, researchers must first identify the related genes, or linked markers, within the genomes. However, the duplicated nature, with the presence of frequent paralogues, and clustered characteristic of NLRs make them difficult to predict with the classic automatic gene annotation pipelines. In the last several years, efforts have been made to develop new methods leading to a proliferation of reports on cloned genes. Herein, we review the bioinformatic tools to assist the discovery of R genes in plants, focusing on well-established pipelines with an important computer-based component.
format	article
author	Andrea Fernandez-Gutierrez Juan J. Gutierrez-Gonzalez
author_facet	Andrea Fernandez-Gutierrez Juan J. Gutierrez-Gonzalez
author_sort	Andrea Fernandez-Gutierrez
title	Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
title_short	Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
title_full	Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
title_fullStr	Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
title_full_unstemmed	Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants
title_sort	bioinformatic-based approaches for disease-resistance gene discovery in plants
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/192d106e38834726b1ac17aa4bb60ee9
work_keys_str_mv	AT andreafernandezgutierrez bioinformaticbasedapproachesfordiseaseresistancegenediscoveryinplants AT juanjgutierrezgonzalez bioinformaticbasedapproachesfordiseaseresistancegenediscoveryinplants
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Bioinformatic-Based Approaches for Disease-Resistance Gene Discovery in Plants

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