ArticlePloS one2012
Allelic analysis of sheath blight resistance with association mapping in rice.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.
- Pooled it
- Molecular mapping and transfer of sheath blight resistance QTLs from PAU-shb8 to cultivated rice PR-121.Molecular genetics and genomics : MGG · 2025Article
- Comparative Field Evaluation and Transcriptome Analysis Reveals that Chromosome Doubling Enhances Sheath Blight Resistance in Rice.Rice (New York, N.Y.) · 2024Article
- Revisiting the emerging pathosystem of rice sheath blight: deciphering theFrontiers in plant science · 2024Article
- Dissecting genomic regions and underlying sheath blight resistance traits in rice (Plant direct · 2023Article
- Genetic Diversity of Weedy Rice and Its Potential Application as a Novel Source of Disease Resistance.Plants (Basel, Switzerland) · 2023Review
- Elevated COFrontiers in plant science · 2023Article
- New Sources of Resistance and Identification of DNA Marker Loci for Sheath Blight Disease Caused by Rhizoctonia solani Kuhn, in Rice.The plant pathology journal · 2022Article
- Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies.Rice (New York, N.Y.) · 2022Article
- Two decades of association mapping: Insights on disease resistance in major crops.Frontiers in plant science · 2022Review
- Strategies to Manage Rice Sheath Blight: Lessons from Interactions between Rice and Rhizoctonia solani.Rice (New York, N.Y.) · 2021Review
- Comparative Genomics: Insights on the Pathogenicity and Lifestyle ofInternational journal of molecular sciences · 2021Article
- Expression Alteration of Candidate Rice MiRNAs in Response to Sheath Blight Disease.Iranian journal of biotechnology · 2020Article
- Understanding sheath blight resistance in rice: the road behind and the road ahead.Plant biotechnology journal · 2020Review
- Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations.Rice (New York, N.Y.) · 2020Article
- Genome-Wide Association Analysis of the Genetic Basis for Sheath Blight Resistance in Rice.Rice (New York, N.Y.) · 2019Article
- Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection.Plants (Basel, Switzerland) · 2019Article
- Review
- Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.).Rice (New York, N.Y.) · 2019Article
- Identifying natural genotypes of grain number per panicle in rice (Oryza sativa L.) by association mapping.Genes & genomics · 2019Article
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sheath blight (ShB) caused by the soil-borne pathogen Rhizoctonia solani is one of the most devastating diseases in rice world-wide. Global attention has focused on examining individual mapping populations for quantitative trait loci (QTLs) for ShB resistance, but to date no study has taken advantage of association mapping to examine hundreds of lines for potentially novel QTLs. Our objective was to identify ShB QTLs via association mapping in rice using 217 sub-core entries from the USDA rice core collection, which were phenotyped with a micro-chamber screening method and genotyped with 155 genome-wide markers. Structure analysis divided the mapping panel into five groups, and model comparison revealed that PCA5 with genomic control was the best model for association mapping of ShB. Ten marker loci on seven chromosomes were significantly associated with response to the ShB pathogen. Among multiple alleles in each identified loci, the allele contributing the greatest effect to ShB resistance was named the putative resistant allele. Among 217 entries, entry GSOR 310389 contained the most putative resistant alleles, eight out of ten. The number of putative resistant alleles presented in an entry was highly and significantly correlated with the decrease of ShB rating (r = -0.535) or the increase of ShB resistance. Majority of the resistant entries that contained a large number of the putative resistant alleles belonged to indica, which is consistent with a general observation that most ShB resistant accessions are of indica origin. These findings demonstrate the potential to improve breeding efficiency by using marker-assisted selection to pyramid putative resistant alleles from various loci in a cultivar for enhanced ShB resistance in rice.
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