Uncovering the genetic basis of gluten aggregation parameters by genome-wide association analysis in wheat (Triticum aestivum L.) using GlutoPeak

Springer Science and Business Media LLC - Tập 22 - Trang 1-11 - 2022
Zhengqing Wu1,2, Hongxia Qiu1,2, Zhaoran Tian1,2, Congcong Liu1, Maomao Qin1, Wenxu Li1, Pan Yang1, Yao Wen3, Baoming Tian1,2, Fang Wei1,2, Zhengfu Zhou1,2,4, Zhensheng Lei1,2,3,4, Jinna Hou1,2
1Henan Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Postgraduate T & R Base of Zhengzhou University, Zhengzhou, China
2School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
3National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, China
4Shennong Laboratory, Zhengzhou, China

Tóm tắt

Numerous studies have shown that gluten aggregation properties directly affect the processing quality of wheat, however, the genetic basis of gluten aggregation properties were rarely reported. To explore the genetic basis of gluten aggregation properties in wheat, an association population consisted with 207 wheat genotypes were constructed for evaluating nine parameters of aggregation properties on GlutoPeak across three-year planting seasons. A total of 940 significant SNPs were detected for 9 GlutoPeak parameters through genome-wide association analysis (GWAS). Finally, these SNPs were integrated to 68 non-redundant QTL distributed on 20 chromosomes and 54 QTL was assigned as pleiotropic loci which accounting for multiple parameters of gluten aggregation property. Furthermore, the peak SNPs representing 54 QTL domonstrated additive effect on all the traits. There was a significant positive correlation between the number of favorable alleles and the phenotypic values of each parameter. Peak SNPs of two novel QTL, q3AL.2 and q4DL, which contributing to both PMT (peak maximum time) and A3 (area from the first minimum to torque 15 s before the maximum torque) parameters, were selected for KASP (Kompetitive Allele Specific PCR) markers development and the KASP markers can be used for effectively evaluating the quality of gluten aggregation properties in the association population. The rapid and efficient GlutoPeak method for gluten measurement can be used for early selection of wheat breeding. This study revealed the genetic loci related to GlutoPeak parameters in association population, which would be helpful to develop wheat elite lines with improved gluten aggregation through molecular marker-assisted breeding.

Tài liệu tham khảo

Hawkesford MJ, Araus J-L, Park R, Calderini D, Miralles D, Shen T, Zhang J, Parry MAJ. Prospects of doubling global wheat yields. Food Energy Secur. 2013;2(1):34–48. Sliwinski EL, Kolster P, Prins A, Vliet TV. On the relationship between gluten protein composition of wheat flours and large-deformation properties of their doughs. J Cereal Sci. 2004;39(2):247–64. Shewry PR, Tatham AS, Forde J, Kreis M, Miflin BJ. The classification and nomenclature of wheat gluten proteins: A reassessment. J Cereal Sci. 1986;4(2):97–106. Shewry PR, Tatham AS, Bailey AJ: Gluten, the Elastomeric Protein of Wheat Seeds. Cambridge University Press. 2009:279-301. Li W, Dobraszczyk BJ, Schofield JD. Stress Relaxation Behavior of Wheat Dough, Gluten, and Gluten Protein Fractions. Cereal Chem. 2003;80(3):333–8. Menkovska M, Knezevic D, Ivanoski M. Protein Allelic Composition, Dough Rheology, and Baking Characteristics of Flour Mill Streams from Wheat Cultivars with Known and Varied Baking Qualities 1. Cereal Chem. 2002;79(5):720–5. Labuschagne M, Guzmán C, Phakela K, Wentzel B, Biljon AV. Solvent Retention Capacity and Gluten Protein Composition of Durum Wheat Flour as Influenced by Drought and Heat Stress. Plants. 2021;10(5):1000. Edwards NM, Mulvaney SJ, Scanlon MG, Dexter JE. Role of Gluten and Its Components in Determining Durum Semolina Dough Viscoelastic Properties. Cereal Chem. 2003;80(6):755–63. Popineau Y, Deshayes G, Lefebvre J, Fido R, Tatham AS, Shewry PR. Prolamin aggregation, gluten viscoelasticity, and mixing properties of transgenic wheat lines expressing 1Ax and 1Dx high molecular weight glutenin subunit transgenes. J Agric Food Chem. 2001;49(1):395–401. Grassi S, Gullì M, Visioli G, Marti A. Gluten aggregation properties as a tool for durum wheat quality assessment: a chemometric approach. LWT- Food Sci Technol. 2021;12:111048. Güçbilmez ÇM, Şahin M, Akçacık A, Aydoğan S, Yakışır E. Evaluation of GlutoPeak test for prediction of bread wheat flour quality, rheological properties and baking performance. J Cereal Sci. 2019;90:102827. Evlice AK, Ozderen T, Karaduman Y, Salantur A, Ozdemir MB. Quality evaluation of some durum wheat genotypes and relationship between some quality characteristics and Glutopeak parameters. In: International Conference on Wheat Diversity and Human Health. 2019. Karaduman Y, Önder O, Sayaslan A, Aydın N. Utilisation of GlutoPeak tester on whole-wheat flour for gluten quality assessment. Qual Assur Saf Crops Foods. 2019;11(3):295–304. Sissons M. GlutoPeak: A Breeding Tool for Screening Dough Properties of Durum Wheat Semolina. Cereal Chem. 2016;93(6):550–6. Marti A, Augst E, Cox S, Koehler P. Correlations between gluten aggregation properties defined by the GlutoPeak test and content of quality-related protein fractions of winter wheat flour. J Cereal Sci. 2015;66:89-95. Fu BX, Wang K, Dupuis B. Predicting water absorption of wheat flour using high shear-based GlutoPeak test - ScienceDirect. J Cereal Sci. 2017;76:116–21. Bouachra S, Begemann J, Aarab L, Hüsken A. Prediction of bread wheat baking quality using an optimized GlutoPeak-Test method. J Cereal Sci. 2017;76:8–16. Cardone G, Grassi S, Scipioni A, Marti A. Bread-making performance of durum wheat as affected by sprouting. LWT- Food Sci Technol. 2020;134:110021. W N, Ma S, Li L, Zheng X. Aggregation characteristics of protein during wheat flour maturation. J Sci Food Agric. 2019;99(2):719–25. Zhou Z, Zhang Z, Jia L, Qiu H, Guan H, Liu C, Qin M, Wang Y, Li W, Yao W, et al. Genetic Basis of Gluten Aggregation Properties in Wheat (Triticum aestivum L.) Dissected by QTL Mapping of GlutoPeak Parameters. Front Plant Sci. 2020;11:611605. Liu C, Zhou Z, Wu Z, Qin M, Shi X, Wang Y, Li W, Yao W, Lei Z, Zhao R. In-depth genetic analysis reveals conditioning of polyphenol oxidase activity in wheat grains by cis regulation of TaPPO2A-1 expression level. Genomics. 2020;112(6):4690–700. Yu J, Pressoir G, Briggs WH, Bi IV, Yamasaki M, Doebley JF, Mcmullen MD, Gaut BS, Nielsen DM, Holland JB. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet. 2006;38(2):203–8. Fu Y, Cheng M, Li M, Guo X, Wu Y, Wang J. Identification and Characterization of PLATZ Transcription Factors in Wheat. Int J Mol Sci. 2020;21(23):8934. Li Q, Wang J, Ye J, Zheng X, Xiang X, Li C, Fu M, Wang Q, Zhang Z, Wu Y. The Maize Imprinted Gene Floury3 Encodes a PLATZ Protein Required for tRNA and 5S rRNA Transcription through Interaction with RNA Polymerase III. Plant Cell. 2017;29(10):2661–75. Tronsmo KM, Magnus EM, Baardseth P, Schofield JD, Frgestad EM. Comparison of Small and Large Deformation Rheological Properties of Wheat Dough and Gluten. Cereal Chem. 2003;80(5):587–95. Lou H, Zhang R, Liu Y, Guo D, Li B. Genome-wide association study of six quality-related traits in common wheat (Triticum aestivum L.) under two sowing conditions. Theor Appl Genet. 2020;134:399–418. Yang Y, Chai Y, Zhang X, Lu S, Zhao Z, Wei D, Chen L, Hu Y-G. Multi-Locus GWAS of Quality Traits in Bread Wheat: Mining More Candidate Genes and Possible Regulatory Network. Front Plant Sci. 2020;11:1091. Zakaria EG, Samira EH, Khalil EM, Karima S, Zakaria K, Wuletaw T. Genome wide association and prediction studies of agronomic and quality traits in spring beard wheat (Triticum aestivum L.) under rain-fed environment with terminal moisture stress. J Cereal Sci. 2021;101:103278. Alemu A, Baouchi AE, Hanafi SE, Kehel Z, Tadesse W. Genetic analysis of grain protein content and dough quality traits in elite spring bread wheat (Triticum aestivum) lines through association study. J Cereal Sci. 2021;2021(100):103214. Ss A, Aa B, Aaa C, Ghb C, Aa D, Wt E. Genome-wide association analysis uncovers stable QTLs for yield and quality traits of spring bread wheat ( Triticum aestivum ) across contrasting environments. Plant Gene. 2020:100269. Sallam AH, Manan F, Bajgain P, Martin M, Szinyei T, Conley E, Brown-Guedira G, Muehlbauer GJ, Anderson JA, Steffenson BJ. Genetic architecture of agronomic and quality traits in a nested association mapping population of spring wheat. Plant Genome. 2020;13(3):e20051. Fiedler JD, Evan S, Yuan L, Monika M, Hegstad JB, Chen B, Manthey FA, Chao S, Xu S, Elias EM. Genome-Wide Association and Prediction of Grain and Semolina Quality Traits in Durum Wheat Breeding Populations. Plant Genome. 2017;10(3):1–12. Rapp M, Sieber A, Kazman E, Leiser WL, Würschum T, Longin C. Evaluation of the genetic architecture and the potential of genomics-assisted breeding of quality traits in two large panels of durum wheat. Theor Appl Genet. 2019;132(6):1873–86. Semagn K, Iqbal M, Chen H, Perez-Lara E, Bemister DH, Xiang R, Zou J, Asif M, Kamran A, N'Diaye A. Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems. Theoretical and Applied Genetics. 2021. https://doi.org/10.1007/s00122-021-03923-x. Karaduman Y. Assessing gluten strength with a new small-scale LASRC method useful for soft wheat breeding programs. Cereal Chem. 2020;97(2):196–204. Karaduman Y, Akn A, Trklmez S, Tunca ZA. Investigating the Availability of GlutoPeak Parameters for Evaluation of Gluten Quality in Bread Wheat Breeding Programs. J Field Crops Cent Res Inst. 2015;24(1):65–74. Marti A, Ulrici A, Foca G, Quaglia L, Pagani MA. Characterization of common wheat flours (Triticum aestivum L.) through multivariate analysis of conventional rheological parameters and gluten peak test indices. Lwt Food Sci Tech. 2015;64(1):95–103. Wang K, Dupuis B, Fu BX. Gluten Aggregation Behavior in High‐Shear‐Based GlutoPeak Test: Impact of Flour Water Absorption and Strength. Cereal Chem. 2017;94(5):909-15. Chandi GK, Seetharaman K. OPTIMIZATION OF GLUTEN PEAK TESTER: A STATISTICAL APPROACH. J Food Qual. 2012;35(1):69–75. Karaduman Y, Sayaslan A, Akn A. GlutoPeak parameters of whole wheat flours for gluten quality evaluation in soft wheat breeding programs. J Cereal Sci. 2020;95(103031):1–11. Smith SE, Kuehl RO, Ray IM, Hui R, Soleri D. Evaluation of Simple Methods for Estimating Broad-Sense Heritability in Stands of Randomly Planted Genotypes. Crop Sci. 1998;38(5):1125–9. Team DCR: R: A Language and Environment for Statistical Computing: R Foundation for Statistical Computing; 2011. http://www.R-project.org/. Djukic N, Markovic S, Mastilovic J, Simovic P. Differences in proline accumulation between wheat varieties in response to heat stress. Botanica Serbica. 2021;45(1):61–9. Zhou Z, Shi X, Zhao G, Qin M, Wang J. Identification of Novel Genomic Regions and Superior Alleles Associated With Zn Accumulation in Wheat Using A Genome-Wide Association Analysis Method. Int J Mol Sci. 2020;21(6):1928. Rasheed A, Wen W, Gao F, Zhai S, Jin H, Liu J, Guo Q, Zhang Y, Dreisigacker S, Xia X. Development and validation of KASP assays for genes underpinning key economic traits in bread wheat. Theor Appl Genet. 2016;129(10):1843–60.