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"GWAS"

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국내 육성종 벼의 유묘기 뿌리 무게에 대한 전장유전체연관분석
Genome-wide Association Study of Total Root Weight at the Seedling Stage in Korean Rice Cultivars (Oryza sativa L.)
Junghyun Gong, Han-Gyeol Kim, Dongryung Lee, Seong-Gyu Jang, Yuting Zeng, Soon-Wook Kwon
Korean. J. Breed. Sci. 2026;58(3):275-284.   Published online September 1, 2026
DOI: https://doi.org/10.9787/KJBS.2026.58.3.275
Root biomass is an important determinant of seedling vigor that contributes to water and nutrient acquisition in rice (Oryza sativa L.). In this study, we evaluated the total root weight (TRW) of 127 Korean rice cultivars, comprising 110 temperate japonica (TEJ) and 17 Tongil-type cultivars, under hydroponic conditions. Population structure analysis separated the accessions into two major groups corresponding primarily to the TEJ and Tongil-type cultivars. A genome-wide association study (GWAS) was conducted using the FarmCPU, BLINK, and MLM approaches, all three of which detected a common association signal for TRW on chromosome 7. Further GWAS analysis using only the 110 TEJ cultivars revealed an association signal in the same genomic region, thereby providing evidence of a possible relationship between this region and the variation in TRW within the TEJ cultivars. Additionally, by performing linkage disequilibrium block analysis, we identified a candidate region spanning approximately 369 kb, containing 43 genes. On the basis of gene expression and haplotype analyses, Os07g0517000, Os07g0520400, and Os07g0520900 were selected as putative candidate genes. However, given that the observed haplotype differences were partially associated with the varietal-group composition, their effects should be interpreted with caution. These results will provide genomic information for gaining a better understanding of variations in seedling root biomass and contribute to further validation of genes associated with root development in rice.
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Research Article

Early selection of grain quality traits in rice (Oryza sativa L.), is essential to improve the yield and quality of this staple crop. We analyzed four key traits—protein content, grain filling rate, height, and panicle length—in 85 Korean cultivars. Through whole- genome resequencing we identified 12,718,879 raw single nucleotide polymorphisms (SNPs); after PLINK-based quality control (bi-allelic selection, call rate≥0.90, MAF≥0.03), ~2.20 million high-quality SNPs remained for machine-learning (ML) pre-screening. To rank the features (without marker-level inference), we applied a liberal univariate PLINK case-control scan using the top and bottom 30% per trait. We also analyzed associations with a linear mixed model (GCTA v1.93.2, MLMA; fixed covariates: ecotype, PC1, PC2; random effect: GRM) to verify calibration under population structure; with n=85, no genome-wide significant hits were detected, and QQ-plots indicated adequate calibration (per-trait effective tests m≈1.54-1.57 million under stricter filters). The random forest feature importance prioritized 26, 51, 19, and 20 core SNPs for the four traits, respectively. Across the algorithms, the best models achieved mean accuracies of 81.8% (protein content), 81.0% (grain filling rate), 73.1% (height), and 94.0% (panicle length). All selected SNPs met the Fluidigm array design requirements, supporting its deployment as a compact, genotype-based panel for early selection and a practical step toward digital breeding in rice.

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Articles

Improving nitrogen use efficiency (NUE) is essential for sustainable wheat production, given the global demand for high-yielding and environmentally resilient crop varieties. NUE is a complex trait governed by multiple genetic, physiological, and environmental factors. This review synthesizes recent advances in the genetic dissection of NUE in wheat, focusing on quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and transcriptome analyses. Furthermore, novel approaches such as protein turnover quantification, epigenetic regulation, NIR-based quality prediction, and genomic selection optimization are discussed as emerging strategies to enhance NUE. Key genes identified include nitrate transporters (NRT1, NRT2), nitrogen assimilation enzymes (GS, GOGAT), transcription factors (NLPs, WRKYs, NACs), and signal transduction components (SnRK, CIPK). Integrative studies combining genomics, transcriptomics, and machine learning offer new insights into the dynamic regulation of NUE. This review highlights the importance of multi-layered breeding approaches and provides valuable genetic resources and methodological frameworks for future wheat NUE improvement programs.

Citations

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  • Determination of Optimal Nitrogen Application Rates to Enhance Heat Stress Tolerance in Autumn Radish (Raphanus sativus L.) Using OJIP Transient Analysis
    Tae Seon Eom, Tae Wan Kim, Sung Yung Yoo
    Nitrogen.2026; 7(2): 47.     CrossRef
  • Water and leaf nitrogen use efficiency at photosynthesis in wheat under different conditions of mineral nutrition
    I.M. Sheheda, N.V. Sandetska, D.A. Kiriziy
    Fìzìologìâ roslin ì genetika.2025; 57(5): 426.     CrossRef
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Salt stress is a major abiotic factor that limits wheat production worldwide. However, this threat is increasing significantly because soil salinity affects approximately 20% of the irrigated agricultural land globally, leading to significant yield losses by impairing plant growth and photosynthetic efficiency. This study aimed to identify single-nucleotide polymorphisms (SNPs) associated with salt tolerance in wheat core collections during the heading stage under saline stress conditions. Chlorophyll content, a physiological indicator of salt tolerance at heading, and soil electrical conductivity (EC) were measured in 609 accessions and a Salt Tolerance Index (STI) was subsequently constructed. Genome-wide association studies (GWAS) were performed using a 35 K SNP chip to identify significant marker-trait associations. Three models (MLM, FarmCPU, and BLINK) were employed for the GWAS, with FarmCPU and BLINK demonstrating superior power over the MLM in controlling false positives. GWAS results revealed four significant SNPs (AX-94929101, AX- 94615611, AX-94510535, and AX-94411611) located on chromosomes 3D, 5D, and 7D. AX-94510535 exhibited significant phenotypic differences based on SNP genotype, suggesting its potential as a marker for STI. Furthermore, the identified candidate genes, TraesCS3D02G218100, TraesCS5D02G059500, and TraesCS5D02G175000, were implicated in biological processes such as DNA replication, cell death, and photosynthesis.

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  • Integrated Genomic and Transcriptomic Analyses Reveal a Two-Tier Adaptive Strategy for Wheat Root Salt Tolerance: Constitutive Auxin Biosynthetic Capacity and Stress-Responsive Transcriptional Repression
    Kyung-Hee Kim, Ji Yu Jeong, Taekyeom Kim, Sang Yong Park, Byung-Moo Lee, Jae Yoon Kim
    Biology.2026; 15(12): 965.     CrossRef
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보리의 β-글루칸 및 셀룰로스 합성에 대한 유전적 탐구
Genetic Exploration of β-glucan and Cellulose Synthesis in Barley
Sehyun Choi, Young-Mi Yoon, Jin-CheonPark, On-SookHur, Changsoo Kim
Korean. J. Breed. Sci. 2025;57(2):159-173.
Published online June 1, 2025
DOI: https://doi.org/10.9787/KJBS.2025.57.2.159

Barley (Hordeum vulgare L.) is an important cereal crop valued for its nutritional benefits and adaptability to diverse climates. β-glucan, a soluble dietary fiber found in barley, is recognized for its health benefits, including lowering cholesterol, managing postprandial blood glucose levels, and providing antioxidative properties. However, high β-glucan content can complicate food processing due to increased viscosity and water absorption rates. This study used genotyping-by-sequencing (GBS) to examine genetic variation within barley populations and to identify genetic markers associated with β-glucan content. A Genome-Wide Association Study (GWAS) was conducted to identify candidate genes linked to β-glucan levels. Functional annotation revealed several genes potentially involved in cellulose synthase activity and cell wall biosynthesis, including the MYB-related protein Zm38, C2 domain-containing protein, ATP synthase subunit beta (chloroplastic), ATP-dependent Clp protease proteolytic subunit, soluble inorganic pyrophosphatase, and glyceraldehyde-3-phosphate dehydrogenase 1 (cytosolic). These findings provide insights into the genetic architecture of β-glucan content in barley. By leveraging GBS and GWAS, breeders can identify and select genetic markers associated with high β-glucan content, thereby facilitating the development of superior barley varieties with enhanced nutritional and processing qualities.

Citations

Citations to this article as recorded by  
  • Genetic exploration of β-glucan content in barley grains through GWAS and RNA-sequencing approaches
    Rizwan Ali Kumbhar, Kehan Yang, Tian Min, Sadaf Memon, Rania Chourouk Benhafid, Ji Jiale, Kashaf Mari, Yuan Cao, Weiwei Chen, Yajie Liu, Feng Zongyun, Hui Zhao
    Molecular Breeding.2026;[Epub]     CrossRef
  • Unveiling the Potential of Functional Components in Hull-Less Barley Grains: Health Benefits, Structural Composition, and Genetic Advancements
    Rizwan Ali Kumbhar, Sadaf Memon, Muzamil Hussain, Yajie Liu, Zongyun Feng, Hui Zhao
    Foods.2026; 15(5): 861.     CrossRef
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한국 재래종 벼 유묘기 뿌리 발달 전장유전체연관분석
Genome-Wide Association Study of Root Development at the Seedling Stage in Korean Landrace Rice
Jeonghwan Seo, Hongjia Zhang, Ah-Rim Lee, Wondo Lee, Yoo-Hyun Cho, Soon-Wook Kwon, Joohyun Lee
Korean. J. Breed. Sci. 2021;53(4):424-431.
Published online December 1, 2021
DOI: https://doi.org/10.9787/KJBS.2021.53.4.424

Root development at the seedling stage is an important trait for the early growth of rice. In this study, the root length and weight of 211 Korean landrace rice at the seedling stage were evaluated, and the average root length and weight were 6.94 cm and 48.18 mg, respectively. Principal component analysis (PCA) of 211 accessions based on 70,849 SNPs presented three subgroups. Two quantitative trait loci (QTLs) associated with root length were detected on chromosomes 3 and 6 using genome-wide association study (GWAS). Four haplotypes were identified using associated SNPs for the two root length QTLs. The average root length of Hap2 and Hap 3 was 7.32 cm and 6.56 cm, respectively, and were significantly different. Gene expression analysis in the candidate regions of QTLs for root length at the seedling stage showed that several genes were expressed in the root. QTLs associated with root length at the seedling stage identified in this study may be applied to improve the root length trait and detect candidate genes.

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벼 핵심집단의 마그네슘 함량 관련 통합 전장유전체 분석
Integrated Genome-Wide Association Studies to Dissect Natural Variation for Magnesium Ion Contents in Rice Germplasm
Eun-Beom Heo, Ji-Min Yoo, Won-Do Lee, Sang-Ho Chu, Kyu-Won Kim, Yoo-Hyun Cho, Yong-Jin Park
Korean. J. Breed. Sci. 2017;49(3):141-149.   Published online September 1, 2017
DOI: https://doi.org/10.9787/KJBS.2017.49.3.141

Magnesium is important not only for the growth of rice itself, but also as an essential micronutrient component of half of the world population who are supported by rice. Here, we performed genome-wide association study (GWAS) with high-resolution density SNPs to identify natural allelic variation in Mg2+ increase from rice set, which is derived from a total 24,368 rice germplasms. The range of the concentration and distribution of Mg2+ in 295 core accessions of brown rice grain were wide, from 18.17mg/L to 57.11mg/L, with mean 39.71mg/L. In particular, GWAS result shows that the high peak found on chromosomes 3 and 11. The new natural variants identified through haplotyping analysis would be useful to develop new rice varieties with improved storage ability of the valuable mineral through the future molecular breeding.

Citations

Citations to this article as recorded by  
  • Genome-Scale Profiling and High-Throughput Analyses Unravel the Genetic Basis of Arsenic Content Variation in Rice
    Sang-Beom Lee, Gyeong-Jin Kim, Jung-Du Shin, Woojin Chung, Soo-Kwon Park, Geun-Hyoung Choi, Sang-Won Park, Yong-Jin Park
    Frontiers in Plant Science.2022;[Epub]     CrossRef
  • Functional Haplotype and eQTL Analyses of Genes Affecting Cadmium Content in Cultivated Rice
    Sang-Beom Lee, Gyeong-Jin Kim, Kyu-Won Kim, Sang-Ho Chu, Jung-Du Shin, Yu-Ji Lee, Yong-Jin Park, Sang-Won Park
    Rice.2019;[Epub]     CrossRef
  • ‘Saemimyeon’, a Tongil-Type Medium-Late Maturing Rice Variety with High Amylose ContentUsed for Rice Noodle Preparation
    Jun-Hyeon Cho, Jong-Hee Lee, No-Bong Park, Young-Bo Son, Sung-Hwan Oh, Sang-Ik Han, You-Chun Song, Woo-Duck Seo, Dong-Soo Park, Min-Hee Nam, Ji-Yoon Lee
    Korean Journal of Breeding Science.2018; 50(4): 522.     CrossRef
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