Evidence map›Paper›PMID 41382014›Full record

ArticleBMC genomics2025

Genome-wide association analysis reveals novel genetic loci involved in rice brown spot resistance.

Yongxiang Huang, Xiaoxuan Yang, Tao Guo, Shuangfeng Dai, Jiafeng Wang

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Yongxiang HuangNational Center for Technology Innovation of Saline-Alkali Tolerant Rice/College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524008, China.
Xiaoxuan YangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Tao GuoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Shuangfeng DaiNational Center for Technology Innovation of Saline-Alkali Tolerant Rice/College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524008, China. daisf@gdou.edu.cn.
Jiafeng WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. bcjfwang@gmail.com.

Funding

Natural Science Foundation of Guangdong Province 2024A1515012939Science and Technology Planning Project of Zhanjiang 2022A01049Special Project of Seed Industry Vitalization under Rural Revitalization Strategy in Guangdong Province 2022NPY00014Startup funding of Guangdong Ocean University 060302052307
6 · The paper itself

Abstract

backgroundRice brown spot (BS) substantially impacts both yield and grain quality of rice, while research on this disease remains relatively limited compared to some major rice diseases like rice blast and rice sheath blight.

resultsIn our study, 529 rice accessions were evaluated for BS resistance during two growing seasons (October 2021 and March 2022), resulting in the identification of 93 accessions that consistently exhibited resistance (R) or high resistance (HR) to BS across both seasons. Among these, 5 accessions consistently displayed high resistance (HR) grade in both seasons. Additionally, GWAS analysis was performed on the BS resistant level gathered from 529 accessions across two distinct seasons, revealing 52 significant single-season identified QTLs, 11 co-located QTLs across two seasons, and 5 algorithm co-located QTLs. Notably, 13 of these QTLs overlapped with previous studies, including the significant BS resistance QTL, qBS11. Haplotype analysis within the candidate genes located in these essential intervals led to the identification of 5 potential candidate genes (LOC_Os03g40194, LOC_Os05g48660, LOC_Os02g08440, LOC_Os11g38000, LOC_Os08g06380) correlated with BS resistance. Moreover, the varying response of these 5 genes in 'Huilongzao No.1' (resistant variety) and 'ChangQi' (susceptible variety) was analyzed through qPCR analysis, suggesting their potential involvement in diverse BS resistance mechanisms.

conclusionThis study provides valuable germplasm resources and identifies key candidate QTLs and genes for BS resistance research, bridging the gap in the limited identification of genetic markers associated with this disease. These findings establish a critical foundation for advancing future research into BS resistance mechanisms and breeding strategies.

Indexed as

AscomycotaDisease ResistanceGenome-Wide Association StudyOryzaPlant DiseasesQuantitative Trait LociChromosome MappingHaplotypesPolymorphism, Single NucleotideGWASOryza sativaQTLRice brown spot

Identifiers

PMID41382014
PMCPMC12801899

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