Genome-wide association study and genomic selection of flax powdery mildew in Xinjiang Province

被引:0
作者
Zhu, Leilei [1 ]
Li, Gongze [1 ,2 ]
Guo, Dongliang [1 ]
Li, Xiao [1 ,3 ]
Xue, Min [1 ]
Jiang, Haixia [1 ,4 ]
Yan, Qingcheng [1 ]
Xie, Fang [1 ]
Ning, Xuefei [1 ]
Xie, Liqiong [1 ]
机构
[1] Xinjiang Univ, Coll Life Sci & Technol, Xinjiang Key Lab Biol Resources & Genet Engn, Urumqi, Peoples R China
[2] Henan Univ, Sch Life Sci, State Key Lab Crop Stress Adaptat & Improvement, Kaifeng, Peoples R China
[3] Xinjiang Second Med Coll, Dept Basic Med, Kelamayi, Xinjiang, Peoples R China
[4] Xinjiang Normal Univ, Coll Life Sci, Key Lab Plant Stress Biol Arid Land, Urumqi, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2024年 / 15卷
基金
中国国家自然科学基金;
关键词
flax; powdery mildew (PM); quantitative trait loci (QTL); genome-wide association study (GWAS); genomic selection (GS); RESISTANCE; COMPONENTS; LINKAGE; LOCI;
D O I
10.3389/fpls.2024.1403276
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Flax powdery mildew (PM), caused by Oidium lini, is a globally distributed fungal disease of flax, and seriously impairs its yield and quality. To data, only three resistance genes and a few putative quantitative trait loci (QTL) have been reported for flax PM resistance. To dissect the resistance mechanism against PM and identify resistant genetic regions, based on four years of phenotypic datasets (2017, 2019 to 2021), a genome-wide association study (GWAS) was performed on 200 flax core accessions using 674,074 SNPs and 7 models. A total of 434 unique quantitative trait nucleotides (QTNs) associated with 331 QTL were detected. Sixty-four loci shared in at least two datasets were found to be significant in haplotype analyses, and 20 of these sites were shared by multiple models. Simultaneously, a large-effect locus (qDI 11.2) was detected repeatedly, which was present in the mapping study of flax pasmo resistance loci. Oil flax had more QTL with positive-effect or favorable alleles (PQTL) and showed higher PM resistance than fiber flax, indicating that effects of these QTL were mainly additive. Furthermore, an excellent resistant variety C120 was identified and can be used to promote planting. Based on 331 QTLs identified through GWAS and the statistical model GBLUP, a genomic selection (GS) model related to flax PM resistance was constructed, and the prediction accuracy rate was 0.96. Our results provide valuable insights into the genetic basis of resistance and contribute to the advancement of breeding programs.
引用
收藏
页数:13
相关论文
共 66 条
  • [1] Assessing the performance of a novel method for genomic selection: rrBLUP-method6
    Ahmadi, Zahra
    Ghafouri-Kesbi, Farhad
    Zamani, Pouya
    [J]. JOURNAL OF GENETICS, 2021, 100 (02)
  • [2] Evidence of the domestication history of flax (Linum usitatissimum L.) from genetic diversity of the sad2 locus
    Allaby, RG
    Peterson, GW
    Merriwether, DA
    Fu, YB
    [J]. THEORETICAL AND APPLIED GENETICS, 2005, 112 (01) : 58 - 65
  • [3] Aly AA, 2012, PLANT PATHOLOGY J, V28, P149, DOI [10.5423/PPJ.2012.28.2.149, 10.5423/PPJ.OA.12.2011.0241]
  • [4] Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass
    Arojju, Sai Krishna
    Cao, Mingshu
    Trolove, Michael
    Barrett, Brent A.
    Inch, Courtney
    Eady, Colin
    Stewart, Alan
    Faville, Marty J.
    [J]. FRONTIERS IN PLANT SCIENCE, 2020, 11
  • [5] Mapping Quantitative Trait Loci for Powdery Mildew Resistance in Flax (Linum usitatissimum L.)
    Asgarinia, Parvaneh
    Cloutier, Sylvie
    Duguid, Scott
    Rashid, Khalid
    Mirlohi, AghaFakhr
    Banik, Mitali
    Saeidi, Ghodratollah
    [J]. CROP SCIENCE, 2013, 53 (06) : 2462 - 2472
  • [6] A Novel QTL for Powdery Mildew Resistance in Nordic Spring Barley (Hordeum vulgare L. ssp vulgare) Revealed by Genome-Wide Association Study
    Bengtsson, Therese
    Ahman, Inger
    Manninen, Outi
    Reitan, Lars
    Christerson, Therese
    Jensen, Jens Due
    Krusell, Lene
    Jahoor, Ahmed
    Orabi, Jihad
    [J]. FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [7] Chen S., 2018, Plant Fiber Sci. China, V40, P249
  • [8] Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer
    Covarrubias-Pazaran, Giovanny
    [J]. PLOS ONE, 2016, 11 (06):
  • [9] The Application of Multi-Locus GWAS for the Detection of Salt-Tolerance Loci in Rice
    Cui, Yanru
    Zhang, Fan
    Zhou, Yongli
    [J]. FRONTIERS IN PLANT SCIENCE, 2018, 9
  • [10] Dash J., 2016, INT J ADV RES, V4, P961, DOI [10.21474/IJAR01, DOI 10.21474/IJAR01, 10.21474/IJAR01/204, DOI 10.21474/IJAR01/204]