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
  • [21] Diversity analysis and genome-wide association studies of grain shape and eating quality traits in rice (Oryza sativa L.) using DArT markers
    Mogga, Maurice
    Sibiya, Julia
    Shimelis, Hussein
    Lamo, Jimmy
    Yao, Nasser
    PLOS ONE, 2018, 13 (06):
  • [22] Genome-wide analysis of cyclin family in rice (Oryza Sativa L.)
    Honggui La
    Jun Li
    Zhendong Ji
    Yanjun Cheng
    Xiuli Li
    Shuye Jiang
    Prasanna Nori Venkatesh
    Srinivasan Ramachandran
    Molecular Genetics and Genomics, 2006, 275 : 374 - 386
  • [23] Biallelic and Genome Wide Association Mapping of Germanium Tolerant Loci in Rice (Oryza sativa L.)
    Talukdar, Partha
    Douglas, Alex
    Price, Adam H.
    Norton, Gareth J.
    PLOS ONE, 2015, 10 (09):
  • [24] Genome-wide analysis of cyclin family in rice (Oryza Sativa L.)
    La, HG
    Li, J
    Ji, ZD
    Cheng, YJ
    Li, XL
    Jiang, SY
    Venkatesh, PN
    Ramachandran, S
    MOLECULAR GENETICS AND GENOMICS, 2006, 275 (04) : 374 - 386
  • [25] Genome-wide association mapping of quantitative trait loci for chalkiness-related traits in rice (Oryza sativa L.)
    Xu, Qing
    Jiang, Jianhua
    Jing, Chunyu
    Hu, Changmin
    Zhang, Mengyuan
    Li, Xinru
    Shen, Jiaming
    Hai, Mei
    Zhang, Ying
    Wang, Dezheng
    Dang, Xiaojing
    FRONTIERS IN GENETICS, 2024, 15
  • [26] Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.)
    Chengfang Zhan
    Jiaxiao Hu
    Qiao Pang
    Bin Yang
    Yanhao Cheng
    Enshun Xu
    Peiwen Zhu
    Yingyi Li
    Hongsheng Zhang
    Jinping Cheng
    Rice, 2019, 12
  • [27] Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.)
    Zhan, Chengfang
    Hu, Jiaxiao
    Pang, Qiao
    Yang, Bin
    Cheng, Yanhao
    Xu, Enshun
    Zhu, Peiwen
    Li, Yingyi
    Zhang, Hongsheng
    Cheng, Jinping
    RICE, 2019, 12 (01)
  • [28] Mining Candidate Genes and Favorable Haplotypes for Flag Leaf Shape in Rice (Oryza sativa L.) Based on a Genome-Wide Association Study
    Du, Mingyu
    Xiong, Mengyuan
    Chang, Yinping
    Liu, Zhengbo
    Wang, Rui
    Lin, Xingxing
    Zhou, Zhenzhen
    Lu, Mingwei
    Liu, Cuiping
    Liu, Erbao
    AGRONOMY-BASEL, 2022, 12 (08):
  • [29] QTL mapping and identification of candidate genes using a genome-wide association study for heat tolerance at anthesis in rice (Oryza sativa L.)
    Hu, Changmin
    Jiang, Jianhua
    Li, Yulong
    Song, Shaojie
    Zou, Yu
    Jing, Chunyu
    Zhang, Ying
    Wang, Dezheng
    He, Qiang
    Dang, Xiaojing
    FRONTIERS IN GENETICS, 2022, 13
  • [30] Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice (Oryza sativa L.)
    Zhang, Yuanyuan
    Zhang, Mengchen
    Ye, Junhua
    Xu, Qun
    Feng, Yue
    Xu, Siliang
    Hu, Dongxiu
    Wei, Xinghua
    Hu, Peisong
    Yang, Yaolong
    MOLECULAR BREEDING, 2023, 43 (11)