Genome-Wide Association Study of Kernel Traits in Aegilops tauschii

被引:5
|
作者
Wang, Qing [1 ,2 ]
Yan, Ning [1 ,2 ]
Chen, Hao [1 ,2 ]
Li, Sirui [3 ]
Hu, Haiyan [4 ]
Lin, Yu [1 ,2 ]
Shi, Haoran [1 ,2 ]
Zhou, Kunyu [1 ,2 ]
Jiang, Xiaojun [1 ,2 ]
Yu, Shifan [1 ,2 ]
Li, Caixia [2 ]
Chen, Guangdeng [5 ]
Yang, Zisong [6 ]
Liu, Yaxi [1 ,2 ]
机构
[1] State Key Lab Crop Gene Explorat & Utilizat South, Chengdu, Peoples R China
[2] Sichuan Agr Univ, Triticeae Res Inst, Chengdu, Peoples R China
[3] Chengdu Foreign Language Sch, Chengdu, Peoples R China
[4] Henan Inst Sci & Technol, Sch Life Sci & Technol, Xinxiang, Henan, Peoples R China
[5] Sichuan Agr Univ, Coll Resources, Chengdu, Peoples R China
[6] Aba Teachers Univ, Coll Resources & Environm, Wenchuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Aegilops tauschii; candidate gene; genetic diversity; GWAS; kernel traits; SNP; LINKAGE DISEQUILIBRIUM; HEXAPLOID WHEAT; EXPRESSION; TOLERANCE; MARKERS; LOCI;
D O I
10.3389/fgene.2021.651785
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Aegilops tauschii is the diploid progenitor of the D subgenome of hexaploid wheat (Triticum aestivum L.). Here, the phenotypic data of kernel length (KL), kernel width (KW), kernel volume (KV), kernel surface area (KSA), kernel width to length ratio (KWL), and hundred-kernel weight (HKW) for 223 A. tauschii accessions were gathered across three continuous years. Based on population structure analysis, 223 A. tauschii were divided into two subpopulations, namely T-group (mainly included A. tauschii ssp. tauschii accessions) and S-group (mainly included A. tauschii ssp. strangulata). Classifications based on cluster analysis were highly consistent with the population structure results. Meanwhile, the extent of linkage disequilibrium decay distance (r(2) = 0.5) was about 110 kb and 290 kb for T-group and S-group, respectively. Furthermore, a genome-wide association analysis was performed on these kernel traits using 6,723 single nucleotide polymorphism (SNP) markers. Sixty-six significant markers, distributed on all seven chromosomes, were identified using a mixed linear model explaining 4.82-13.36% of the phenotypic variations. Among them, 15, 28, 22, 14, 21, and 13 SNPs were identified for KL, KW, KV, KSA, KWL, and HKW, respectively. Moreover, six candidate genes that may control kernel traits were identified (AET2Gv20774800, AET4Gv20799000, AET5Gv20005900, AET5Gv20084100, AET7Gv20644900, and AET5Gv21111700). The transfer of beneficial genes from A. tauschii to wheat using marker-assisted selection will broaden the wheat D subgenome improve the efficiency of breeding.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A genome-wide association study for quantitative traits in schizophrenia in China
    Ma, X.
    Deng, W.
    Liu, X.
    Li, M.
    Chen, Z.
    He, Z.
    Wang, Y.
    Wang, Q.
    Hu, X.
    Collier, D. A.
    Li, T.
    GENES BRAIN AND BEHAVIOR, 2011, 10 (07) : 734 - 739
  • [22] A genome-wide association study of metabolic traits in human urine
    Suhre, Karsten
    Wallaschofski, Henri
    Raffler, Johannes
    Friedrich, Nele
    Haring, Robin
    Michael, Kathrin
    Wasner, Christina
    Krebs, Alexander
    Kronenberg, Florian
    Chang, David
    Meisinger, Christa
    Wichmann, H-Erich
    Hoffmann, Wolfgang
    Voelzke, Henry
    Voelker, Uwe
    Teumer, Alexander
    Biffar, Reiner
    Kocher, Thomas
    Felix, Stephan B.
    Illig, Thomas
    Kroemer, Heyo K.
    Gieger, Christian
    Roemisch-Margl, Werner
    Nauck, Matthias
    NATURE GENETICS, 2011, 43 (06) : 565 - U97
  • [23] A genome-wide association study of metabolic traits in human urine
    Karsten Suhre
    Henri Wallaschofski
    Johannes Raffler
    Nele Friedrich
    Robin Haring
    Kathrin Michael
    Christina Wasner
    Alexander Krebs
    Florian Kronenberg
    David Chang
    Christa Meisinger
    H-Erich Wichmann
    Wolfgang Hoffmann
    Henry Völzke
    Uwe Völker
    Alexander Teumer
    Reiner Biffar
    Thomas Kocher
    Stephan B Felix
    Thomas Illig
    Heyo K Kroemer
    Christian Gieger
    Werner Römisch-Margl
    Matthias Nauck
    Nature Genetics, 2011, 43 : 565 - 569
  • [24] Genome-wide association study of meat quality traits in chicken
    Zhang, T.
    Fan, Q. C.
    Wang, J. Y.
    Zhang, G. X.
    Gu, Y. P.
    Tang, Y.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (03): : 10452 - 10460
  • [25] Genome-wide association study of personality traits in bipolar patients
    Alliey-Rodriguez, Ney
    Zhang, Dandan
    Badner, Judith A.
    Lahey, Benjamin B.
    Zhang, Xiaotong
    Dinwiddie, Stephen
    Romanos, Benjamin
    Plenys, Natalie
    Liu, Chunyu
    Gershon, Elliot S.
    PSYCHIATRIC GENETICS, 2011, 21 (04) : 190 - 194
  • [26] Genome-wide association study for growth traits in Nelore cattle
    Terakado, A. P. N.
    Costa, R. B.
    de Camargo, G. M. F.
    Irano, N.
    Bresolin, T.
    Takada, L.
    Carvalho, C. V. D.
    Oliveira, H. N.
    Carvalheiro, R.
    Baldi, F.
    de Albuquerque, L. G.
    ANIMAL, 2018, 12 (07) : 1358 - 1362
  • [27] Genome-wide association study for reproduction traits in Russian Holsteins
    Sermyagin, A.
    Gladyr, E.
    Kharitonov, S.
    Ermilov, A.
    Yanchukov, I.
    Strekozov, N.
    Zinovieva, N.
    REPRODUCTION IN DOMESTIC ANIMALS, 2015, 50 : 76 - 76
  • [28] Genome-Wide Association Study of Agronomic Traits in Common Bean
    Kamfwa, Kelvin
    Cichy, Karen A.
    Kelly, James D.
    PLANT GENOME, 2015, 8 (02):
  • [29] Genome-wide association study of 12 agronomic traits in peach
    Cao, Ke
    Zhou, Zhengkui
    Wang, Qi
    Guo, Jian
    Zhao, Pei
    Zhu, Gengrui
    Fang, Weichao
    Chen, Changwen
    Wang, Xinwei
    Wang, Xiaoli
    Tian, Zhixi
    Wang, Lirong
    NATURE COMMUNICATIONS, 2016, 7
  • [30] Genome-wide association study for conformation traits in Ayrshire cattle
    Azovtseva, Anastasiia Ivanovna
    Pozovnikova, Marina Vladimirovna
    Shcherbakov, Yuriy Sergheevich
    Tulinova, Olga Vasilievna
    Romanova, Elena Anatolyevna
    Ryabova, Anna Evgenievna
    ANIMAL SCIENCE JOURNAL, 2024, 95 (01)