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Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data

Magnaporthae oryzae (M. oryzae) is the most destructive disease of rice worldwide. In this study, one hundred and two isolates of M. oryzae were collected from rice (Oryzae sativa L.) from 2001 to 2017, and six rice varieties with resistance genes Pizt, Pish, Pik, Pib, and Pi2 were used in a genome-...

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Autores principales: Myint, Nyein Nyein Aye, Korinsak, Siripar, Chutteang, Cattleya, Laosatit, Kularb, Thunnom, Burin, Toojinda, Theerayut, Siangliw, Jonaliza L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141631/
https://www.ncbi.nlm.nih.gov/pubmed/35627301
http://dx.doi.org/10.3390/genes13050916
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author Myint, Nyein Nyein Aye
Korinsak, Siripar
Chutteang, Cattleya
Laosatit, Kularb
Thunnom, Burin
Toojinda, Theerayut
Siangliw, Jonaliza L.
author_facet Myint, Nyein Nyein Aye
Korinsak, Siripar
Chutteang, Cattleya
Laosatit, Kularb
Thunnom, Burin
Toojinda, Theerayut
Siangliw, Jonaliza L.
author_sort Myint, Nyein Nyein Aye
collection PubMed
description Magnaporthae oryzae (M. oryzae) is the most destructive disease of rice worldwide. In this study, one hundred and two isolates of M. oryzae were collected from rice (Oryzae sativa L.) from 2001 to 2017, and six rice varieties with resistance genes Pizt, Pish, Pik, Pib, and Pi2 were used in a genome-wide association study to identify pathogenicity loci in M. oryzae. Genome-wide association analysis was performed using 5338 single nucleotide polymorphism (SNPs) and phenotypic data of neck blast screening by TASSEL software together with haplotype block and SNP effect analysis. Twenty-seven significant SNPs were identified on chromosomes 1, 2, 3, 4, 5, 6, and 7. Many predicted genes (820 genes) were found in the target regions of six rice varieties. Most of these genes are described as putative uncharacterized proteins, however, some genes were reported related to virulence in M. oryzae. Moreover, this study revealed that R genes, Pik, Pish, and Pi2, were broad-spectrum resistant against neck blast disease caused by Thai blast isolate. Haplotype analysis revealed that the combination of the favorable alleles causing reduced virulence of isolates against IRBLz5-CA carrying Pi2 gene contributes 69% of the phenotypic variation in pathogenicity. The target regions and information are useful to develop marker-specific genes to classify blast fungal isolates and select appropriate resistance genes for rice cultivation and improvement.
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spelling pubmed-91416312022-05-28 Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data Myint, Nyein Nyein Aye Korinsak, Siripar Chutteang, Cattleya Laosatit, Kularb Thunnom, Burin Toojinda, Theerayut Siangliw, Jonaliza L. Genes (Basel) Article Magnaporthae oryzae (M. oryzae) is the most destructive disease of rice worldwide. In this study, one hundred and two isolates of M. oryzae were collected from rice (Oryzae sativa L.) from 2001 to 2017, and six rice varieties with resistance genes Pizt, Pish, Pik, Pib, and Pi2 were used in a genome-wide association study to identify pathogenicity loci in M. oryzae. Genome-wide association analysis was performed using 5338 single nucleotide polymorphism (SNPs) and phenotypic data of neck blast screening by TASSEL software together with haplotype block and SNP effect analysis. Twenty-seven significant SNPs were identified on chromosomes 1, 2, 3, 4, 5, 6, and 7. Many predicted genes (820 genes) were found in the target regions of six rice varieties. Most of these genes are described as putative uncharacterized proteins, however, some genes were reported related to virulence in M. oryzae. Moreover, this study revealed that R genes, Pik, Pish, and Pi2, were broad-spectrum resistant against neck blast disease caused by Thai blast isolate. Haplotype analysis revealed that the combination of the favorable alleles causing reduced virulence of isolates against IRBLz5-CA carrying Pi2 gene contributes 69% of the phenotypic variation in pathogenicity. The target regions and information are useful to develop marker-specific genes to classify blast fungal isolates and select appropriate resistance genes for rice cultivation and improvement. MDPI 2022-05-20 /pmc/articles/PMC9141631/ /pubmed/35627301 http://dx.doi.org/10.3390/genes13050916 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Myint, Nyein Nyein Aye
Korinsak, Siripar
Chutteang, Cattleya
Laosatit, Kularb
Thunnom, Burin
Toojinda, Theerayut
Siangliw, Jonaliza L.
Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title_full Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title_fullStr Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title_full_unstemmed Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title_short Identification of Pathogenicity Loci in Magnaporthe oryzae Using GWAS with Neck Blast Phenotypic Data
title_sort identification of pathogenicity loci in magnaporthe oryzae using gwas with neck blast phenotypic data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141631/
https://www.ncbi.nlm.nih.gov/pubmed/35627301
http://dx.doi.org/10.3390/genes13050916
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