SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates
Plant resistance genes (R-genes) drive the immune responses of crops against specific pathotypes of disease-causing organisms. Over time, genetic diversity in R-genes and R-pseudogenes has arisen among different rice varieties. This bioinformatics study was carried out to (i) predict the full sets o...
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oai:doaj.org-article:3ca78f0cd5e443fa9a1b40d2311640682021-11-25T16:10:47ZSNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates10.3390/agronomy111122972073-4395https://doaj.org/article/3ca78f0cd5e443fa9a1b40d2311640682021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2297https://doaj.org/toc/2073-4395Plant resistance genes (R-genes) drive the immune responses of crops against specific pathotypes of disease-causing organisms. Over time, genetic diversity in R-genes and R-pseudogenes has arisen among different rice varieties. This bioinformatics study was carried out to (i) predict the full sets of candidate nucleotide-binding site leucine-rich repeat (NLR) R-genes present in six rice genomes; (ii) detect variation within candidate R-genes; (iii) identify potential selectable markers within and near to LRR genes among 75 diverse <i>indica</i> rice genomes. Four high quality <i>indica</i> genomes, plus the standard <i>japonica</i> and <i>indica</i> reference genomes, were analysed with widely available bioinformatic tools to identify candidate R-genes and R-pseudogenes. They were detected in clusters, consistent with previous studies. BLAST analysis of cloned protein sequences of 31 R-gene loci gave confidence in this approach for detection of cloned NLR R-genes. Approximately 10% of candidate R-genes were located within 1 kb of a microsatellite (SSR) marker. Sequence comparisons among <i>indica</i> rice genomes detected SNPs or InDels in 334 candidate rice R-genes. There were significantly more SNPs and InDels within the identified NLR R-gene candidates than in other types of gene. The genome-wide locations of candidate R-genes and their associated markers are presented here for the potential future development of improved disease-resistant varieties. Limitations of in silico approaches used for R-gene discovery are discussed.Mark J. Quinton-TullochKatherine A. SteeleMDPI AGarticlepathogenresistanceNBS-LRRNLR<i>Oryza sativa</i>rice blastAgricultureSENAgronomy, Vol 11, Iss 2297, p 2297 (2021) |
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pathogen resistance NBS-LRR NLR <i>Oryza sativa</i> rice blast Agriculture S |
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pathogen resistance NBS-LRR NLR <i>Oryza sativa</i> rice blast Agriculture S Mark J. Quinton-Tulloch Katherine A. Steele SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
description |
Plant resistance genes (R-genes) drive the immune responses of crops against specific pathotypes of disease-causing organisms. Over time, genetic diversity in R-genes and R-pseudogenes has arisen among different rice varieties. This bioinformatics study was carried out to (i) predict the full sets of candidate nucleotide-binding site leucine-rich repeat (NLR) R-genes present in six rice genomes; (ii) detect variation within candidate R-genes; (iii) identify potential selectable markers within and near to LRR genes among 75 diverse <i>indica</i> rice genomes. Four high quality <i>indica</i> genomes, plus the standard <i>japonica</i> and <i>indica</i> reference genomes, were analysed with widely available bioinformatic tools to identify candidate R-genes and R-pseudogenes. They were detected in clusters, consistent with previous studies. BLAST analysis of cloned protein sequences of 31 R-gene loci gave confidence in this approach for detection of cloned NLR R-genes. Approximately 10% of candidate R-genes were located within 1 kb of a microsatellite (SSR) marker. Sequence comparisons among <i>indica</i> rice genomes detected SNPs or InDels in 334 candidate rice R-genes. There were significantly more SNPs and InDels within the identified NLR R-gene candidates than in other types of gene. The genome-wide locations of candidate R-genes and their associated markers are presented here for the potential future development of improved disease-resistant varieties. Limitations of in silico approaches used for R-gene discovery are discussed. |
format |
article |
author |
Mark J. Quinton-Tulloch Katherine A. Steele |
author_facet |
Mark J. Quinton-Tulloch Katherine A. Steele |
author_sort |
Mark J. Quinton-Tulloch |
title |
SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
title_short |
SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
title_full |
SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
title_fullStr |
SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
title_full_unstemmed |
SNPs, InDels, and Microsatellites within and Near to Rice NBS-LRR Resistance Gene Candidates |
title_sort |
snps, indels, and microsatellites within and near to rice nbs-lrr resistance gene candidates |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/3ca78f0cd5e443fa9a1b40d231164068 |
work_keys_str_mv |
AT markjquintontulloch snpsindelsandmicrosatelliteswithinandneartoricenbslrrresistancegenecandidates AT katherineasteele snpsindelsandmicrosatelliteswithinandneartoricenbslrrresistancegenecandidates |
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1718413310924161024 |