Statistical inference of selection and divergence of the rice blast resistance gene Pi-ta.
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ABSTRACT:
SUBMITTER: Amei A
PROVIDER: S-EPMC4267938 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The Pi-ta gene in rice has been effectively used to control rice blast disease caused by Magnaporthe oryzae worldwide. Despite a number of studies that reported the Pi-ta gene in domesticated rice and wild species, little is known about how the Pi-ta gene has evolved in US weedy rice, a major weed of rice. To investigate the genome organization of the Pi-ta gene in weedy rice and its relationship to gene flow between cultivated and weedy rice in the US, we analyzed nucleotide sequence variation at the Pi-ta gene and its surrounding 2 Mb region in 156 weedy, domesticated and wild rice relatives. We found that the region at and around the Pi-ta gene shows very low genetic diversity in US weedy rice. The patterns of molecular diversity in weeds are more similar to cultivated rice (indica and aus), which have never been cultivated in the US, rather than the wild rice species, Oryza rufipogon. In addition, the resistant Pi-ta allele (Pi-ta) found in the majority of US weedy rice belongs to the weedy group strawhull awnless (SH), suggesting a single source of origin for Pi-ta. Weeds with Pi-ta were resistant to two M. oryzae races, IC17 and IB49, except for three accessions, suggesting that component(s) required for the Pi-ta mediated resistance may be missing in these accessions. Signatures of flanking sequences of the Pi-ta gene and SSR markers on chromosome 12 suggest that the susceptible pi-ta allele (pi-ta), not Pi-ta, has been introgressed from cultivated to weedy rice by out-crossing.
| S-EPMC3197024 | biostudies-literature
Project description:Rice blast disease resistance to the fungal pathogen Magnaporthe grisea is triggered by a physical interaction between the protein products of the host R (resistance) gene, Pi-ta, and the pathogen Avr (avirulence) gene, AVR-pita. The genotype variation and resistant/susceptible phenotype at the Pi-ta locus of wild rice (Oryza rufipogon), the ancestor of cultivated rice (O. sativa), was surveyed in 36 locations worldwide to study the molecular evolution and functional adaptation of the Pi-ta gene. The low nucleotide polymorphism of the Pi-ta gene of O. rufipogon was similar to that of O. sativa, but greatly differed from what has been reported for other O. rufipogon genes. The haplotypes can be subdivided into two divergent haplogroups named H1 and H2. H1 is derived from H2, with nearly no variation and at a low frequency. H2 is common and is the ancestral form. The leucine-rich repeat (LRR) domain has a high pi(non)/pi(syn) ratio, and the low polymorphism of the Pi-ta gene might have primarily been caused by recurrent selective sweep and constraint by other putative physiological functions. Meanwhile, we provide data to show that the amino acid Ala-918 of H1 in the LRR domain has a close relationship with the resistant phenotype. H1 might have recently arisen during rice domestication and may be associated with the scenario of a blast pathogen-host shift from Italian millet to rice.
| S-EPMC2475752 | biostudies-literature
Project description:Background Pi-ta is a major blast resistant gene, introgressed from indica rice varieties. In this study, diversity of the Pi-ta gene of 47 Sri Lankan rice accessions was studied by bioinformatics, and the results were validated with molecular and disease reaction assays. Sequences of rice accessions at the locus Os12g0281300 were retrieved from Rice SNP-Seek Database, and the coding sequence of reference Pi-ta gene of cultivar Tetep (accession no. GQ918486.1) was obtained from GenBank. Comparisons were made at nucleotide, amino acid, and protein structure level, and the 3D models predicted using Phyre2 software were superimposed using TM-align software. Results In silico analysis revealed that 10 accessions possessed resistant allele of the Pi-ta gene. The remaining accessions recorded high polymorphism in the leucine-rich domain resulting in 9 allele types, leading to single–amino acid substitutions at 27 different positions including a functional mutation of alanine to serine at the 918th amino acid position. None of the genotypes led to truncations in the amino acid sequence. The in silico analysis results were validated on 23 accessions comprising resistant and susceptible genotypes and another 25 cultivars from Northern Sri Lanka, by molecular assay using YL183/YL87 and YL155/YL87 resistant and susceptible allele-specific markers. Resistance of Pi-ta gene for the causal fungus, Magnaporthe oryzae, was further validated through pathogenicity assay. Conclusion The Pi-ta gene, especially the LRD region, revealed significant variations within Sri Lankan rice cultivars leading to high levels of resistance against blast. This information would be highly useful in breeding programmes for resistance against rice blast. Supplementary Information The online version contains supplementary material available at 10.1186/s43141-021-00239-7.
| S-EPMC8531186 | biostudies-literature
Project description:The race-specific resistance gene Pi-ta has been effectively used to control blast disease, one of the most destructive plant diseases worldwide. A single amino acid change at the 918 position of the Pi-ta protein was known to determine resistance specificity. To understand the evolutionary dynamics present, we examined sequences of the Pi-ta locus and its flanking regions in 159 accessions composed of seven AA genome Oryza species: O. sativa, O. rufipogon, O. nivara, O. meridionalis, O. glaberrima, O. barthii, and O. glumaepatula. A 3364-bp fragment encoding a predicted transposon was found in the proximity of the Pi-ta promoter region associated with the resistance phenotype. Haplotype network analysis with 33 newly identified Pi-ta haplotypes and 18 newly identified Pi-ta protein variants demonstrated the evolutionary relationships of Pi-ta haplotypes between O. sativa and O. rufipogon. In O. rufipogon, the recent directional selection was found in the Pi-ta region, while significant deviation from neutral evolution was not found in all O. sativa groups. Results of sequence variation in flanking regions around Pi-ta in O. sativa suggest that the size of the resistant Pi-ta introgressed block was at least 5.4 Mb in all elite resistant cultivars but not in the cultivars without Pi-ta. These findings demonstrate that the Pi-ta region with transposon and additional plant modifiers has evolved under an extensive selection pressure during crop breeding.
| S-EPMC2787423 | biostudies-literature
Project description:Blast is the most common biotic stress leading to the reduction of rice yield in many rice-growing areas of the world, including Malaysia. Improvement of blast resistance of rice varieties cultivated in blast endemic areas is one of the most important objectives of rice breeding programs. In this study, the marker-assisted backcrossing strategy was applied to improve the blast resistance of the most popular Malaysian rice variety MR219 by introgressing blast resistance genes from the Pongsu Seribu 2 variety. Two blast resistance genes, Pi-b and Pi-kh, were pyramided into MR219. Foreground selection coupled with stringent phenotypic selection identified 15 plants homozygous for the Pi-b and Pi-kh genes, and background selection revealed more than 95% genome recovery of MR219 in advanced blast resistant lines. Phenotypic screening against blast disease indicated that advanced homozygous blast resistant lines were strongly resistant against pathotype P7.2 in the blast disease endemic areas. The morphological, yield, grain quality, and yield-contributing characteristics were significantly similar to those of MR219. The newly developed blast resistant improved lines will retain the high adoptability of MR219 by farmers. The present results will also play an important role in sustaining the rice production of Malaysia.
| S-EPMC4682138 | biostudies-literature
Project description:Rice blast is a detrimental rice disease caused by the fungus Magnaporthe oryzae. Here, we identified a resistance gene from the rice cultivar Fuhui 2663 which is resistant to the rice blast isolate KJ201. Through isolated population analyses and sequencing approaches, the candidate gene was traced to chromosome 12. With the use of a map-based cloning strategy, the resistance gene was ultimately mapped to an 80-kb resistance locus region containing the Pita gene. Candidate gene prediction and cDNA sequencing indicated that the target resistance gene in Fuhui 2663 was allelic to Pita, thus being referred to as Pita-Fuhui2663 hereafter. Further analysis showed that the Fuhui 2663 protein had one amino acid change: Ala (A) residue 918 in Pita-Fuhui2663 was replaced by Ser (S) in Pita-S, leading to a significant change in the 3D structure of the Pita-S protein. CRISPR/Cas9 knockout experiments confirmed that Pita-Fuhui2663 is responsible for the resistance phenotype of Fuhui 2663. Importantly, Pita-Fuhui2663 did not affect the main agronomic traits of the variety compared to the Pita gene as verified by knockout experiments, indicative of potential applications of Pita-Fuhui2663 in broader breeding programs. Furthermore, a Pita-Fuhui2663-dCAPS molecular marker with good specificity and high efficiency was developed to facilitate rice breeding for resistance to this devastating disease.
| S-EPMC9437026 | biostudies-literature
Project description:Effective control of blast, a devastating fungal disease of rice, would increase and stabilize worldwide food production. Resistance mediated by quantitative trait loci (QTLs), which usually have smaller individual effects than R-genes but confer broad-spectrum or non-race-specific resistance, is a promising alternative to less durable race-specific resistance for crop improvement, yet evidence that validates the impact of QTL combinations (pyramids) on the durability of plant disease resistance has been lacking. Here, we developed near-isogenic experimental lines representing all possible combinations of four QTL alleles from a durably resistant cultivar. These lines enabled us to evaluate the QTLs singly and in combination in a homogeneous genetic background. We present evidence that pyramiding QTL alleles, each controlling a different response to M. oryzae, confers strong, non-race-specific, environmentally stable resistance to blast disease. Our results suggest that this robust defence system provides durable resistance, thus avoiding an evolutionary "arms race" between a crop and its pathogen.
| S-EPMC5379001 | biostudies-literature
Project description:MotivationRelief is a family of machine learning algorithms that uses nearest-neighbors to select features whose association with an outcome may be due to epistasis or statistical interactions with other features in high-dimensional data. Relief-based estimators are non-parametric in the statistical sense that they do not have a parameterized model with an underlying probability distribution for the estimator, making it difficult to determine the statistical significance of Relief-based attribute estimates. Thus, a statistical inferential formalism is needed to avoid imposing arbitrary thresholds to select the most important features. We reconceptualize the Relief-based feature selection algorithm to create a new family of STatistical Inference Relief (STIR) estimators that retains the ability to identify interactions while incorporating sample variance of the nearest neighbor distances into the attribute importance estimation. This variance permits the calculation of statistical significance of features and adjustment for multiple testing of Relief-based scores. Specifically, we develop a pseudo t-test version of Relief-based algorithms for case-control data.ResultsWe demonstrate the statistical power and control of type I error of the STIR family of feature selection methods on a panel of simulated data that exhibits properties reflected in real gene expression data, including main effects and network interaction effects. We compare the performance of STIR when the adaptive radius method is used as the nearest neighbor constructor with STIR when the fixed-k nearest neighbor constructor is used. We apply STIR to real RNA-Seq data from a study of major depressive disorder and discuss STIR's straightforward extension to genome-wide association studies.Availability and implementationCode and data available at http://insilico.utulsa.edu/software/STIR.Supplementary informationSupplementary data are available at Bioinformatics online.
| S-EPMC6477983 | biostudies-literature
Project description:In this study, the re-sequencing data from 3,000 rice genomes project (3?K RGP) was used to analyze the allelic variation at the rice blast resistance (R) Pid3 locus. A total of 40 haplotypes were identified based on 71 nucleotide polymorphic sites among 2621 Pid3 homozygous alleles in the 3k genomes. Pid3 alleles in most japonica rice accessions were pseudogenes due to premature stop mutations, while those in most indica rice accessions were identical to the functional haplotype Hap_6, which had a similar resistance spectrum as the previously reported Pid3 gene. By sequencing and CAPS marker analyzing the Pid3 alleles in widespread cultivars in China, we verified that Hap_6 had been widely deployed in indica rice breeding of China. Thus, we suggest that the priority for utilization of the Pid3 locus in rice breeding should be on introducing the functional Pid3 alleles into japonica rice cultivars and the functional alleles of non-Hap_6 haplotypes into indica rice cultivars for increasing genetic diversity.
| S-EPMC5583387 | biostudies-literature
Project description:Rice blast is one of the most devastating rice diseases and continuous resistance breeding is required to control the disease. The rice blast resistance gene Pi54 initially identified in an Indian cultivar confers broad-spectrum resistance in India. We explored the allelic diversity of the Pi54 gene among 885 Indian rice genotypes that were found resistant in our screening against field mixture of naturally existing M. oryzae strains as well as against five unique strains. These genotypes are also annotated as rice blast resistant in the International Rice Genebank database. Sequence-based allele mining was used to amplify and clone the Pi54 allelic variants. Nine new alleles of Pi54 were identified based on the nucleotide sequence comparison to the Pi54 reference sequence as well as to already known Pi54 alleles. DNA sequence analysis of the newly identified Pi54 alleles revealed several single polymorphic sites, three double deletions and an eight base pair deletion. A SNP-rich region was found between a tyrosine kinase phosphorylation site and the nucleotide binding site (NBS) domain. Together, the newly identified Pi54 alleles expand the allelic series and are candidates for rice blast resistance breeding programs.
| S-EPMC4620502 | biostudies-literature