Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.)

被引:11
|
作者
Kang, Ju-Won [1 ]
Kabange, Nkulu Rolly [1 ]
Phyo, Zarchi [1 ,2 ]
Park, So-Yeon [1 ]
Lee, So-Myeong [1 ]
Lee, Ji-Yun [1 ]
Shin, Dongjin [1 ]
Cho, Jun Hyeon [1 ]
Park, Dong-Soo [1 ]
Ko, Jong-Min [1 ]
Lee, Jong-Hee [1 ]
机构
[1] RDA, Natl Inst Crop Sci, Dept Southern Area Crop Sci, Miryang 50424, South Korea
[2] Minist Agr Livestock & Irrigat, Agr Res Dept, MOALI, Naypyitaw 15011, Myanmar
来源
AGRONOMY-BASEL | 2020年 / 10卷 / 10期
关键词
grain shape; grain weight; quantitative trait loci; KASP marker; doubled haploid; rice; QUANTITATIVE TRAIT LOCUS; NEAR-ISOGENIC LINES; MAJOR QTL; NATURAL VARIATION; GENETIC-ANALYSIS; DWARF MUTANT; SIZE; YIELD; LENGTH; ENCODES;
D O I
10.3390/agronomy10101532
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In the current study, we used a linkage mapping-Genome-Wide Association Study (GWAS) joint strategy to investigate quantitative trait loci (QTLs) governing rice grain shape and weight in a doubled haploid (DH) population, using Kompetitive Allele-Specific PCR (KASP) markers. Results revealed the co-detection of the QTLs, qGLE-12-1 and qGLE-12-2 (Chromosome 12), qGTE-3-1 (Chromosome 3), and qGWL-5-1 and qLWRL-5-1 (Chromosome 5), associated with grain length, width, and length-width ratio, by both linkage mapping and GWAS. In addition, qGLL-7-1 (logarithm of the odds (LOD): 18.0, late-transplanted rice) and qGLE-3-1 (LOD: 8.1, early-transplanted rice), and qLWRL-7-1 (LOD: 34.5), detected only by linkage mapping, recorded a high phenotypic variation explained (PVE) of 32.5%, 19.3%, and 37.7% for grain length, and grain length-width ratio, respectively, contributed by the allele from 93-11. Meanwhile, qGWL-5-1 (LOD: 17.2) recorded a high PVE (31.7%) for grain width, and the allele from Milyang352 contributed to the observed phenotypic variation. Furthermore, qGTL-5-1 (LOD: 21.9) had a high PVE (23.3%) for grain thickness. Similarly, qTGWE-5-1 (LOD: 8.6) showed a high contribution to the PVE for grain weight (23.4%). Moreover, QTLs, qGW-5-1, qGT-5-1, qLWR-5-1, and qTGW-5-1 coincided on chromosome 5, flanked with KJ05_17 and KJ05_13 markers. Therefore, these QTLs are suggested to govern rice grain shape and weight. Additionally, the identified candidate genes could play active roles in the regulation of rice grain shape and weight, regarding their predicted functions, and similarity with previously reported genes. Downstream breeding and functional studies are required to elucidate the roles of these candidate genes in the regulation of grain shape and weight in rice.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Genome-Wide Association Study of Xian Rice Grain Shape and Weight in Different Environments
    Wang, Nansheng
    Zhang, Wanyang
    Wang, Xinchen
    Zheng, Zhenzhen
    Bai, Di
    Li, Keyang
    Zhao, Xueyu
    Xiang, Jun
    Liang, Zhaojie
    Qian, Yingzhi
    Wang, Wensheng
    Shi, Yingyao
    PLANTS-BASEL, 2023, 12 (13):
  • [42] Identification of candidate genes for panicle length in Oryza sativa L. ssp. japonica via genome-wide association study and linkage mapping
    Zheng, Hongliang
    Sun, Shichen
    Bai, Liangming
    Jiang, Shukun
    Ding, Guohua
    Wang, Tongtong
    Zhao, Hongwei
    Wang, Jingguo
    Liu, Hualong
    Yang, Luomiao
    Jia, Yan
    Wei, Xin
    Lai, Yongcai
    Zou, Detang
    EUPHYTICA, 2022, 218 (02)
  • [43] Identification of candidate genes for panicle length in Oryza sativa L. ssp. japonica via genome-wide association study and linkage mapping
    Hongliang Zheng
    Shichen Sun
    Liangming Bai
    Shukun Jiang
    Guohua Ding
    Tongtong Wang
    Hongwei Zhao
    Jingguo Wang
    Hualong Liu
    Luomiao Yang
    Yan Jia
    Xin Wei
    Yongcai Lai
    Detang Zou
    Euphytica, 2022, 218
  • [44] Association mapping for yield and grain quality traits in rice (Oryza sativa L.)
    de Oliveira Borba, Tereza Cristina
    Vianello Brondani, Rosana Pereira
    Breseghello, Flavio
    Guedes Coelho, Alexandre Siqueira
    Mendonca, Joao Antonio
    Nakano Rangel, Paulo Hideo
    Brondani, Claudio
    GENETICS AND MOLECULAR BIOLOGY, 2010, 33 (03) : 515 - U142
  • [45] Genome-Wide Analysis of the IQM Gene Family in Rice (Oryza sativa L.)
    Fan, Tian
    Lv, Tianxiao
    Xie, Chuping
    Zhou, Yuping
    Tian, Changen
    PLANTS-BASEL, 2021, 10 (09):
  • [46] Genome-Wide Association Mapping for Yield and Yield-Related Traits in Rice (Oryza Sativa L.) Using SNPs Markers
    Ashfaq, Muhammad
    Rasheed, Abdul
    Zhu, Renshan
    Ali, Muhammad
    Javed, Muhammad Arshad
    Anwar, Alia
    Tabassum, Javaria
    Shaheen, Shabnum
    Wu, Xianting
    GENES, 2023, 14 (05)
  • [47] Genome-wide association mapping revealed a diverse genetic basis of seed dormancy across subpopulations in rice (Oryza sativa L.)
    Risper Auma Magwa
    Hu Zhao
    Yongzhong Xing
    BMC Genetics, 17
  • [48] Mapping QTLs for phosphorus deficiency tolerance in rice (Oryza sativa L.)
    Ni, JJ
    Wu, P
    Senadhira, D
    Huang, N
    THEORETICAL AND APPLIED GENETICS, 1998, 97 (08) : 1361 - 1369
  • [49] Genome-wide association mapping combined with gene-based haplotype analysis identify a novel gene for shoot length in rice (Oryza sativa L.)
    Yang, Tifeng
    Dong, Jingfang
    Zhao, Junliang
    Zhang, Longting
    Zhou, Lian
    Yang, Wu
    Ma, Yamei
    Wang, Jian
    Fu, Hua
    Chen, Jiansong
    Li, Wenhui
    Hu, Haifei
    Jiang, Xianya
    Liu, Ziqiang
    Liu, Bin
    Zhang, Shaohong
    THEORETICAL AND APPLIED GENETICS, 2023, 136 (12)
  • [50] Genome-wide association mapping revealed a diverse genetic basis of seed dormancy across subpopulations in rice (Oryza sativa L.)
    Magwa, Risper Auma
    Zhao, Hu
    Xing, Yongzhong
    BMC GENETICS, 2016, 17