Literature DB >> 33255557

Genome-Wide Association Study of Root System Development at Seedling Stage in Rice.

Hongjia Zhang1, Mar Lar San1, Seong-Gyu Jang1, Ja-Hong Lee1, Na-Eun Kim1, Ah-Rim Lee1, So-Yeon Park2, Fang-Yuan Cao3, Joong-Hyoun Chin4, Soon-Wook Kwon1.   

Abstract

Root network structure plays a crucial role in growth and development processes in rice. Longer, more branched root structures help plants to assimilate water and nutrition from soil, support robust plant growth, and improve resilience to stresses such as disease. Understanding the molecular basis of root development through screening of root-related traits in rice germplasms is critical to future rice breeding programs. This study used a small germplasm collection of 137 rice varieties chosen from the Korean rice core set (KRICE_CORE) to identify loci linked to root development. Two million high-quality single nucleotide polymorphisms (SNPs) were used as the genotype, with maximum root length (MRL) and total root weight (TRW) in seedlings used as the phenotype. Genome-wide association study (GWAS) combined with Principal Components Analysis (PCA) and Kinship matrix analysis identified four quantitative trait loci (QTLs) on chromosomes 3, 6, and 8. Two QTLs were linked to MRL and two were related to TRW. Analysis of Linkage Disequilibrium (LD) decay identified a 230 kb exploratory range for detection of candidate root-related genes. Candidates were filtered using RNA-seq data, gene annotations, and quantitative real-time PCR (qRT-PCR), and five previously characterized genes related to root development were identified, as well as four novel candidate genes. Promoter analysis of candidate genes showed that LOC_Os03g08880 and LOC_Os06g13060 contained SNPs with the potential to impact gene expression in root-related promoter motifs. Haplotype analysis of candidate genes revealed diverse haplotypes that were significantly associated with phenotypic variation. Taken together, these results indicate that LOC_Os03g08880 and LOC_Os06g13060 are strong candidate genes for root development functions. The significant haplotypes identified in this study will be beneficial in future breeding programs for root improvement.

Entities:  

Keywords:  SNP; genome-wide association study (GWAS); haplotype; root development

Mesh:

Year:  2020        PMID: 33255557      PMCID: PMC7760126          DOI: 10.3390/genes11121395

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  63 in total

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9.  Genetic control of the root system in rice under normal and drought stress conditions by genome-wide association study.

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10.  GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture.

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Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-30       Impact factor: 11.205

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  3 in total

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Journal:  Rice (N Y)       Date:  2021-05-12       Impact factor: 4.783

2.  Global Identification and Characterization of C2 Domain-Containing Proteins Associated with Abiotic Stress Response in Rice (Oryza sativa L.).

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3.  Development and Validation of SNP and InDel Markers for Pod-Shattering Tolerance in Soybean.

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Journal:  Int J Mol Sci       Date:  2022-02-21       Impact factor: 5.923

  3 in total

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