Skip to main content
Log in

Genome-wide association study and genomic selection of spike-related traits in bread wheat

  • Original Article
  • Published:
Theoretical and Applied Genetics Aims and scope Submit manuscript

Abstract

Key message

Identification of 337 stable MTAs for wheat spike-related traits improved model accuracy, and favorable alleles of MTA259 and MTA64 increased grain weight and yield per plant.

Abstract

Wheat (Triticum aestivum L.) is one of the three primary global, staple crops. Improving spike-related traits in wheat is crucial for optimizing spike and plant morphology, ultimately leading to increased grain yield. Here, we performed a genome-wide association study using a dataset of 24,889 high-quality unique single-nucleotide polymorphisms (SNPs) and phenotypic data from 314 wheat accessions across eight diverse environments. In total, 337 stable and significant marker–trait associations (MTAs) related to spike-related traits were identified. MTA259 and MTA64 were consistently detected in seven and six environments, respectively. The presence of favorable alleles associated with MTA259 and MTA64 significantly reduced wheat spike exsertion length and spike length, while enhancing thousand kernel weight and yield per plant. Combined gene expression and network analyses identified TraesCS6D03G0692300 and TraesCS6D03G0692700 as candidate genes for MTA259 and TraesCS2D03G0111700 and TraesCS2D03G0112500 for MTA64. The identified MTAs significantly improved the prediction accuracy of each model compared with using all the SNPs, and the random forest model was optimal for genome selection. Additionally, the eight stable and major MTAs, including MTA259, MTA64, MTA66, MTA94, MTA110, MTA165, MTA180, and MTA164, were converted into cost-effective and efficient detection markers. This study provided valuable genetic resources and reliable molecular markers for wheat breeding programs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48

    Article  Google Scholar 

  • Cao P, Liang X, Zhao H, Feng B, Xu E, Wang L, Hu Y (2019) Identification of the quantitative trait loci controlling spike-related traits in hexaploid wheat (Triticum aestivum L.). Planta 250:1967–1981

    Article  CAS  PubMed  Google Scholar 

  • Chai L, Xin M, Dong C, Chen Z, Zhai H, Zhuang J, Cheng X, Wang N, Geng J, Wang X, Bian R, Yao Y, Guo W, Hu Z, Peng H, Bai G, Sun Q, Su Z, Liu J, Ni Z (2022) A natural variation in Ribonuclease H-like gene underlies Rht8 to confer “Green Revolution” trait in wheat. Mol Plant 15:377–380

    Article  CAS  PubMed  Google Scholar 

  • Charmet G, Tran L, Auzanneau J, Rincent R, Bouchet S (2020) BWGS: a R package for genomic selection and its application to a wheat breeding programme. PLoS ONE 15:e222733

    Article  Google Scholar 

  • Chang C, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ (2015) Second-generation plink: rising to the challenge of larger and richer datasets. Gigascience 4:7

    Article  PubMed  PubMed Central  Google Scholar 

  • Chen ZC, Yamaji N, Fujii-Kashino M, Ma JF (2016) A cation-chloride cotransporter gene is required for cell elongation and osmoregulation in rice. Plant Physiol 171:494–507

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Crossa J, Pérez-Rodríguez P, Cuevas J, Montesinos-López O, Jarquín D, de Los CG, Burgueño J, González-Camacho JM, Pérez-Elizalde S, Beyene Y, Dreisigacker S, Singh R, Zhang X, Gowda M, Roorkiwal M, Rutkoski J, Varshney RK (2017) Genomic selection in plant breeding: methods, Models, and Perspectives. Trends Plant Sci 22:961–975

    Article  CAS  PubMed  Google Scholar 

  • Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, Handsaker RE, Lunter G, Marth GT, Sherry ST, McVean G, Durbin R (2011) The variant call format and vcftools. Bioinformatics 27:2156–2158

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Deng Z, Cui Y, Han Q, Fang W, Li J, Tian J (2017) Discovery of consistent QTLs of wheat spike-related traits under nitrogen treatment at different development stages. Front Plant Sci 8:2120

    Article  PubMed  PubMed Central  Google Scholar 

  • Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D (2012) qgraph: network visualizations of relationships in psychometric data. J Stat Softw 48:1–18

    Article  Google Scholar 

  • Govta N, Polda I, Sela H, Cohen Y, Beckles DM, Korol AB, Fahima T, Saranga Y, Krugman T (2022) Genome-wide association study in bread wheat identifies genomic regions associated with grain yield and quality under contrasting water availability. Int J Mol Sci 23:10575

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Guan P, Lu L, Jia L, Kabir MR, Zhang J, Lan T, Zhao Y, Xin M, Hu Z, Yao Y, Ni Z, Sun Q, Peng H (2018) Global QTL analysis identifies genomic regions on chromosomes 4A and 4B harboring stable loci for yield-related traits across different environments in wheat (Triticum aestivum L.). Front Plant Sci 9:529

    Article  PubMed  PubMed Central  Google Scholar 

  • Guo J, Guo J, Li L, Bai X, Huo X, Shi W, Gao L, Dai K, Jing R, Hao C (2023) Combined linkage analysis and association mapping identifies genomic regions associated with yield-related and drought-tolerance traits in wheat (Triticum aestivum L.). Theor Appl Genet 136:250

    Article  CAS  PubMed  Google Scholar 

  • Halder J, Gill HS, Zhang J, Altameemi R, Olson E, Turnipseed B, Sehgal SK (2023) Genome-wide association analysis of spike and kernel traits in the U.S. hard winter wheat. Plant Genome-US 16, e20300.

  • Hassani-Pak K, Singh A, Brandizi M, Hearnshaw J, Parsons JD, Amberkar S, Phillips AL, Doonan JH, Rawlings C (2021) KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species. Plant Biotechnol J 19:1670–1678

    Article  PubMed  PubMed Central  Google Scholar 

  • Hu J, Wang X, Zhang G, Jiang P, Chen W, Hao Y, Ma X, Xu S, Jia J, Kong L, Wang H (2020) QTL mapping for yield-related traits in wheat based on four RIL populations. Theor Appl Genet 133:917–933

    Article  CAS  PubMed  Google Scholar 

  • Huang M, Liu X, Zhou Y, Summers RM, Zhang Z (2018) BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions. GigaScience 8:giy154

    PubMed Central  Google Scholar 

  • Jiao C, Hao C, Li T, Bohra A, Wang L, Hou J, Liu H, Liu H, Zhao J, Wang Y, Liu Y, Wang Z, Jing X, Wang X, Varshney RK, Fu J, Zhang X (2023) Fast integration and accumulation of beneficial breeding alleles through an AB–NAMIC strategy in wheat. Plant Commun 4:100549

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kassambara A, Kassambara MA (2019) Package ‘ggcorrplot’. R package version 0.1 3:908

  • Khan H, Krishnappa G, Kumar S, Mishra CN, Krishna H, Devate NB, Rathan ND, Parkash O, Yadav SS, Srivastava P, Biradar S, Kumar M, Singh GP (2022) Genome-wide association study for grain yield and component traits in bread wheat (Triticum aestivum L.). Front Genet 13:982589

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kuzay S, Xu Y, Zhang J, Katz A, Pearce S, Su Z, Fraser M, Anderson JA, Brown-Guedira G, DeWitt N, Peters Haugrud A, Faris JD, Akhunov E, Bai G, Dubcovsky J (2019) Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping. Theor Appl Genet 132:2689–2705

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Li J, Wang S, Yu J, Wang L, Zhou S (2013) A modified CTAB protocol for plant DNA extraction. Chinese Bull Botany 48:72

    Article  Google Scholar 

  • Li C, Lin H, Chen A, Lau M, Jernstedt J, Dubcovsky J (2019) Wheat VRN1, FUL2 and FUL3 play critical and redundant roles in spikelet development and spike determinacy. Development 146:dev175398

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Li C, Tang H, Luo W, Zhang X, Mu Y, Deng M, Liu Y, Jiang Q, Chen G, Wang J, Qi P, Pu Z, Jiang Y, Wei Y, Zheng Y, Lan X, Ma J (2020) A novel, validated, and plant height-independent QTL for spike extension length is associated with yield-related traits in wheat. Theor Appl Genet 133:3381–3393

    Article  CAS  PubMed  Google Scholar 

  • Li T, Deng G, Su Y, Yang Z, Tang Y, Wang J, Qiu X, Pu X, Li J, Liu Z, Zhang H, Liang J, Yang W, Yu M, Wei Y, Long H (2021) Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield-related traits. Theor Appl Genet 134:3625–3641

    Article  CAS  PubMed  Google Scholar 

  • Li A, Hao C, Wang Z, Geng S, Jia M, Wang F, Han X, Kong X, Yin L, Tao S, Deng Z, Liao R, Sun G, Wang K, Ye X, Jiao C, Lu H, Zhou Y, Liu D, Fu X, Zhang X, Mao L (2022) Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield. Mol Plant 15:504–519

    Article  CAS  PubMed  Google Scholar 

  • Liu J, Xu Z, Fan X, Zhou Q, Cao J, Wang F, Ji G, Yang L, Feng B, Wang T (2018) A genome-wide association study of wheat spike related traits in China. Front Plant Sci 9:1584

    Article  PubMed  PubMed Central  Google Scholar 

  • Miao L, Mao X, Wang J, Liu Z, Zhang B, Li W, Chang X, Reynolds M, Wang Z, Jing R (2017) Elite haplotypes of a protein kinase gene TaSnRK23 associated with important agronomic traits in common wheat. Front Plant Sci 8:368

    Article  PubMed  PubMed Central  Google Scholar 

  • Pang Y, Liu C, Wang D, St Amand P, Bernardo A, Li W, He F, Li L, Wang L, Yuan X, Dong L, Su Y, Zhang H, Zhao M, Liang Y, Jia H, Shen X, Lu Y, Jiang H, Wu Y, Li A, Wang H, Kong L, Bai G, Liu S (2020) High-resolution genome-wide association study identifies genomic regions and candidate genes for important agronomic traits in wheat. Mol Plant 13:1311–1327

    Article  CAS  PubMed  Google Scholar 

  • Ray DK, Mueller ND, West PC, Foley JA (2013) Yield trends are insufficient to double global crop production by 2050. PLoS ONE 8:e66428

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Roth L, Fossati D, Krahenbuhl P, Walter A, Hund A (2023) Image-based phenomic prediction can provide valuable decision support in wheat breeding. Theor Appl Genet 136:162

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sakuma S, Golan G, Guo Z, Ogawa T, Tagiri A, Sugimoto K, Bernhardt N, Brassac J, Mascher M, Hensel G, Ohnishi S, Jinno H, Yamashita Y, Ayalon I, Peleg Z, Schnurbusch T, Komatsuda T (2019) Unleashing floret fertility in wheat through the mutation of a homeobox gene. P Natl Acad Sci 116:5182–5187

    Article  CAS  Google Scholar 

  • Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideke T (2003) Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 13:2498–2504

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sentoku N, Kato H, Kitano H, Imai R (2005) OsMADS22, an STMADS11-like MADS-box gene of rice, is expressed in non-vegetative tissues and its ectopic expression induces spikelet meristem indeterminacy. Mol Genet Genom 273:1–9

    Article  CAS  Google Scholar 

  • Simons KJ, Fellers JP, Trick HN, Zhang Z, Tai Y, Gill BS, Faris JD (2006) Molecular Characterization of the major wheat domestication gene Q. Genetics 172:547–555

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sun L, Yang W, Li Y, Shan Q, Ye X, Wang D, Yu K, Lu W, Xin P, Pei Z, Guo X, Liu D, Sun J, Zhan K, Chu J, Zhang A (2019) A wheat dominant dwarfing line with Rht12, which reduces stem cell length and affects gibberellic acid synthesis, is a 5AL terminal deletion line. Plant J 97:887–900

    Article  CAS  PubMed  Google Scholar 

  • Tao Y, Yi X, Lin Y, Wang Z, Wu F, Jiang X, Liu S, Deng M, Ma J, Chen G, Wei Y, Zheng Y, Liu Y (2019) Quantitative trait locus mapping for panicle exsertion length in common wheat using two related recombinant inbred line populations. Euphytica 215:1–13

    Article  CAS  Google Scholar 

  • Tiwari P, Indoliya Y, Singh PK, Singh PC, Chauhan PS, Pande V, Chakrabarty D (2019) Role of dehydrin-FK506-binding protein complex in enhancing drought tolerance through the ABA-mediated signaling pathway. Environ Exper Botany 158:136–149

    Article  CAS  Google Scholar 

  • Wang J, Zhang Z (2021) GAPIT version 3: boosting power and accuracy for genomic association and prediction. Genom Proteom Bioinf 19: 629-640

    Article  Google Scholar 

  • Wang D, Yu K, Jin D, Sun L, Chu J, Wu W, Xin P, Gregová E, Li X, Sun J, Yang W, Zhan K, Zhang A, Liu D (2020) Natural variations in the promoter of Awn Length Inhibitor 1 (ALI-1) are associated with awn elongation and grain length in common wheat. Plant J 101:1075–1090

    Article  CAS  PubMed  Google Scholar 

  • Wang X, Guan P, Xin M, Wang Y, Chen X, Zhao A, Liu M, Li H, Zhang M, Lu L, Zhang J, Ni Z, Yao Y, Hu Z, Peng H, Sun Q (2021) Genome-wide association study identifies QTL for thousand grain weight in winter wheat under normal- and late-sown stressed environments. Theor Appl Genet 134:143–157

    Article  CAS  PubMed  Google Scholar 

  • Wickham H, Chang W, Wickham MH (2016) Package ‘ggplot2’. Create Elegant Data Visualisations Using the Grammar of Graphics. Version 1:1–189

    Google Scholar 

  • Würschum T, Leiser WL, Langer SM, Tucker MR, Longin CFH (2018) Phenotypic and genetic analysis of spike and kernel characteristics in wheat reveals long-term genetic trends of grain yield components. Theor Appl Genet 131:2071–2084

    Article  PubMed  Google Scholar 

  • Xu H, Sun H, Dong J, Ma C, Li J, Li Z, Wang Y, Ji J, Hu X, Wu M, Zhao C, Qin R, Wu J, Ni F, Cui F, Wu Y (2022) The brassinosteroid biosynthesis gene TaD11-2A controls grain size and its elite haplotype improves wheat grain yields. Theor Appl Genet 135:2907–2923

    Article  CAS  PubMed  Google Scholar 

  • Yang Y, Amo A, Wei D, Chai Y, Zheng J, Qiao P, Cui C, Lu S, Chen L, Hu Y (2021) Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat. Theor Appl Genet 134:3083–3109

    Article  CAS  PubMed  Google Scholar 

  • Yao FQ, Li XH, Wang H, Song YN, Li ZQ, Li XG, Gao X, Zhang XS, Bie XM (2021) Down-expression of TaPIN1s increases the tiller number and grain yield in wheat. BMC Plant Biol 21:443

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yin L, Zhang H, Tang Z, Xu J, Yin D, Zhang Z, Yuan X, Zhu M, Zhao S, Li X, Liu X (2021) rMVP: a memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genom Proteom Bioinf 19: 619–628

    Article  Google Scholar 

  • Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Res 14:415–421

    Article  Google Scholar 

  • Zhai H, Feng Z, Li J, Liu X, Xiao S, Ni Z, Sun Q (2016) QTL analysis of spike morphological traits and plant height in winter wheat (Triticum aestivum L.) using a high-density SNP and SSR-based linkage map. Front Plant Sci 7:1617

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhang D, Hao C, Wang L, Zhang X (2012) Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.). Planta 236:1507–1517

    Article  CAS  PubMed  Google Scholar 

  • Zhang B, Liu X, Xu W, Chang J, Li A, Mao X, Zhang X, Jing R (2015) Novel function of a putative MOC1 ortholog associated with spikelet number per spike in common wheat. Sci Rep-Uk 5:12211

    Article  Google Scholar 

  • Zhang C, Dong S, Xu J, He W, Yang T (2019) PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics 35:1786–1788

    Article  CAS  PubMed  Google Scholar 

  • Zheng J, Liu H, Wang Y, Wang L, Chang X, Jing R, Hao C, Zhang X (2014) TEF-7A, a transcript elongation factor gene, influences yield-related traits in bread wheat (Triticum aestivum L.). J Exp Bot 65:5351–5365

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Zhou Y, Conway B, Miller D, Marshall D, Cooper A, Murphy P, Chao S, Brown Guedira G, Costa J (2017) Quantitative trait loci mapping for spike characteristics in hexaploid wheat. Plant Genome 10:1–15

    Article  Google Scholar 

  • Zhu T, Wang L, Rimbert H, Rodriguez J, Deal K, De Oliveira R, Choulet F, Keeble-Gagnère G, Tibbits J, Rogers J, Eversole K, Appels R, Gu Y, Mascher M, Dvorak J, Luo M (2021) Optical maps refine the bread wheat Triticum aestivum cv. Chin Spring Genome Assembly Plant J 107:303–314

    CAS  Google Scholar 

Download references

Funding

This work was supported by the Agricultural Variety Improvement Project of Shandong Province (Grant No. 2021LZGC013), the Shandong Provincial Fund for Excellent Young Scholars (Grant No. ZR2022YQ19), the National Natural Science Foundation of China (Grant Nos. 32072051 and 32272119), the Major Basic Research Project of Natural Science Foundation of Shandong Province, China (Grant No. ZR2019ZD16), the Youth Innovation Technology Support Planning Project for Institution of Higher Education of Shandong Province, China (Grant No. 2019KJF002), and the Innovation Project for graduate students of Ludong University (Grant No. IPGS2024-093).

Author information

Authors and Affiliations

Authors

Contributions

YW, FC, and HS designed the experiments and managed the project. HX, ZW, FW, XH, CM, HJ, CX, YG, and GD performed experiments. CZ, RQ, and DC supervised the project and provided technical assistance. YW, HX, and ZW analyzed data and wrote the manuscript. All authors have read and agreed to the final published version of the manuscript.

Corresponding authors

Correspondence to Han Sun, Fa Cui or Yongzhen Wu.

Ethics declarations

Conflict of interest

The authors declare the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Additional information

Communicated by Andreas Graner.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 11666 KB)

Supplementary file2 (XLSX 777 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, H., Wang, Z., Wang, F. et al. Genome-wide association study and genomic selection of spike-related traits in bread wheat. Theor Appl Genet 137, 131 (2024). https://doi.org/10.1007/s00122-024-04640-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00122-024-04640-x

Navigation