Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats

被引:32
作者
Afzal, Fakiha [1 ]
Li, Huihui [2 ,3 ]
Gul, Alvina [1 ,4 ]
Subhani, Abid [5 ]
Ali, Ahmad [6 ]
Mujeeb-Kazi, Abdul [7 ]
Ogbonnaya, Francis [8 ]
Trethowan, Richard [9 ]
Xia, Xianchun [2 ]
He, Zhonghu [2 ,3 ]
Rasheed, Awais [2 ,3 ,10 ]
机构
[1] Natl Univ Sci & Technol, Atta ur Rahman Sch Appl Biosci, Islamabad H 12, Pakistan
[2] Chinese Acad Agr Sci CAAS, Inst Crop Sci, Beijing 100081, Peoples R China
[3] CAAS, Int Maize & Wheat Improvement Ctr CIMMYT, Beijing 100081, Peoples R China
[4] Cornell Univ, Sch Integrat Plant Sci, Ithaca, NY 14853 USA
[5] Barani Agr Res Inst BARI, Chakwal, Pakistan
[6] Univ Swat, Ctr Plant Sci & Biodivers, Swat, Pakistan
[7] Texas A&M Univ, Amarillo, TX 79106 USA
[8] Grains Res & Dev Corp, Kingston, NF, Australia
[9] Univ Sydney, Plant Breeding Inst, Sch Life & Environm Sci, Sydney, NSW 2006, Australia
[10] Quaid I Azam Univ, Dept Plant Sci, Islamabad 45320, Pakistan
来源
G3-GENES GENOMES GENETICS | 2019年 / 9卷 / 06期
关键词
synthetic-derived wheats (SYN-DER); genome-wide association studies (GWAS); single nucleotide polymorphisms (SNPs); haplotype analysis; selective sweeps; AEGILOPS-TAUSCHII; GRAIN WEIGHT; ASSOCIATION; GENE; ADAPTATION; EVOLUTION; ORTHOLOG; YIELD; DOMESTICATION; ARCHITECTURE;
D O I
10.1534/g3.119.400010
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Crop-wild introgressions have long been exploited without knowing the favorable recombination points. Synthetic hexaploid wheats are one of the most exploited genetic resources for bread wheat improvement. However, despite some QTL with major effects, much less is known about genomewide patterns of introgressions and their effects on phenotypes. We used two genome-wide association approaches: SNP-GWAS and haplotype-GWAS to identify SNPs and haplotypes associated with productivity under water-limited conditions in a synthetic-derived wheat (SYN-DER) population. Haplotype-GWAS further enriched and identified 20 more genomic regions associated with drought adaptability that did not overlap with SNP-GWAS. Since GWAS is biased to the phenotypes in the study and may fail to detect important genetic diversity during breeding, we used five complementary analytical approaches (t-test, Tajima's D, nucleotide diversity (p), Fst, and EigenGWAS) to identify divergent selections in SYN-DER compared to modern bread wheat. These approaches consistently pinpointed 89 'selective sweeps', out of which 30 selection loci were identified on D-genome. These key selections co-localized with important functional genes of adaptive traits such as TaElf3-D1 (1D) for earliness per se (Eps), TaCKX-D1 (3D), TaGS1a (6D) and TaGS-D1 (7D) for grain size, weight and morphology, TaCwi-D1 (5D) influencing drought tolerance, and Vrn-D3 (7D) for vernalization. Furthermore, 55 SNPs and 23 haplotypes of agronomic and physiological importance such as grain yield, relative water content and thousand grain weight in SYN-DER, were among the top 5% of divergent selections contributed by synthetic hexaploid wheats. These divergent selections associated with improved agronomic performance carry new alleles that have been introduced to wheat. Our results demonstrated that GWAS and selection sweep analyses are powerful approaches for investigating favorable introgressions under strong selection pressure and the use of crop-wild hybridization to assist the improvement of wheat yield and productivity under moisture limiting environments.
引用
收藏
页码:1957 / 1973
页数:17
相关论文
共 76 条
  • [61] Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array
    Wang, Shichen
    Wong, Debbie
    Forrest, Kerrie
    Allen, Alexandra
    Chao, Shiaoman
    Huang, Bevan E.
    Maccaferri, Marco
    Salvi, Silvio
    Milner, Sara G.
    Cattivelli, Luigi
    Mastrangelo, Anna M.
    Whan, Alex
    Stephen, Stuart
    Barker, Gary
    Wieseke, Ralf
    Plieske, Joerg
    Lillemo, Morten
    Mather, Diane
    Appels, Rudi
    Dolferus, Rudy
    Brown-Guedira, Gina
    Korol, Abraham
    Akhunova, Alina R.
    Feuillet, Catherine
    Salse, Jerome
    Morgante, Michele
    Pozniak, Curtis
    Luo, Ming-Cheng
    Dvorak, Jan
    Morell, Matthew
    Dubcovsky, Jorge
    Ganal, Martin
    Tuberosa, Roberto
    Lawley, Cindy
    Mikoulitch, Ivan
    Cavanagh, Colin
    Edwards, Keith J.
    Hayden, Matthew
    Akhunov, Eduard
    [J]. PLANT BIOTECHNOLOGY JOURNAL, 2014, 12 (06) : 787 - 796
  • [62] Genetic loci in the photoperiod pathway interactively modulate reproductive development of winter wheat
    Wang, Shuwen
    Carver, Brett
    Yan, Liuling
    [J]. THEORETICAL AND APPLIED GENETICS, 2009, 118 (07) : 1339 - 1349
  • [63] ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION-STRUCTURE
    WEIR, BS
    COCKERHAM, CC
    [J]. EVOLUTION, 1984, 38 (06) : 1358 - 1370
  • [64] Photoperiod insensitive Ppd-A1a mutations in tetraploid wheat (Triticum durum Desf.)
    Wilhelm, Edward P.
    Turner, Adrian S.
    Laurie, David A.
    [J]. THEORETICAL AND APPLIED GENETICS, 2009, 118 (02) : 285 - 294
  • [65] Wheat Landrace Genome Diversity
    Wingen, Luzie U.
    West, Claire
    Leverington-Waite, Michelle
    Collier, Sarah
    Orford, Simon
    Goram, Richard
    Yang, Cai-Yun
    King, Julie
    Allen, Alexandra M.
    Burridge, Amanda
    Edwards, Keith J.
    Griffiths, Simon
    [J]. GENETICS, 2017, 205 (04) : 1657 - 1676
  • [66] Evaluation of Linkage Disequilibrium Pattern and Association Study on Seed Oil Content in Brassica napus Using ddRAD Sequencing
    Wu, Zhikun
    Wang, Bo
    Chen, Xun
    Wu, Jiangsheng
    King, Graham J.
    Xiao, Yingjie
    Liu, Kede
    [J]. PLOS ONE, 2016, 11 (01):
  • [67] Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection
    Xie, Weibo
    Wang, Gongwei
    Yuan, Meng
    Yao, Wen
    Lyu, Kai
    Zhao, Hu
    Yang, Meng
    Li, Pingbo
    Zhang, Xing
    Yuan, Jing
    Wang, Quanxiu
    Liu, Fang
    Dong, Huaxia
    Zhang, Lejing
    Li, Xinglei
    Meng, Xiangzhou
    Zhang, Wan
    Xiong, Lizhong
    He, Yuqing
    Wang, Shiping
    Yu, Sibin
    Xu, Caiguo
    Luo, Jie
    Li, Xianghua
    Xiao, Jinghua
    Lian, Xingming
    Zhang, Qifa
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (39) : E5411 - E5419
  • [68] Enhancing genetic gain in the era of molecular breeding
    Xu, Yunbi
    Li, Ping
    Zou, Cheng
    Lu, Yanli
    Xie, Chuanxiao
    Zhang, Xuecai
    Prasanna, Boddupalli M.
    Olsen, Michael S.
    [J]. JOURNAL OF EXPERIMENTAL BOTANY, 2017, 68 (11) : 2641 - 2666
  • [69] Genetic association mapping and genome organization of maize
    Yu, JM
    Buckler, ES
    [J]. CURRENT OPINION IN BIOTECHNOLOGY, 2006, 17 (02) : 155 - 160
  • [70] DECIMAL CODE FOR GROWTH STAGES OF CEREALS
    ZADOKS, JC
    CHANG, TT
    KONZAK, CF
    [J]. WEED RESEARCH, 1974, 14 (06) : 415 - 421