An intron-located single nucleotide variation of TaGS5-3D is related to wheat grain size through accumulating intron retention transcripts.


Journal

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
ISSN: 1432-2242
Titre abrégé: Theor Appl Genet
Pays: Germany
ID NLM: 0145600

Informations de publication

Date de publication:
22 Aug 2023
Historique:
received: 05 05 2023
accepted: 31 07 2023
medline: 23 8 2023
pubmed: 22 8 2023
entrez: 22 8 2023
Statut: epublish

Résumé

Thirty-three stable QTL for 13 yield-related traits across ten environments were identified in the PD34/MY47 RIL population, and a candidate gene TaGS5-3D in Qmt.nwafu.3D was preliminarily identified to affect grain-related traits through accumulation of specific transcripts. Dissecting the genetic basis of yield-related traits is pivotal for improvement of wheat yield potential. In this study, a recombinant inbred line (RIL) population genotyped by SNP markers was used to detect quantitative trait loci (QTL) related to yield-related traits in ten environments. A total of 102 QTL were detected, including 33 environmentally stable QTL and 69 putative QTL. Among them, Qmt.nwafu.3D was identified as a pleiotropic QTL in the physical interval of 149.77-154.11 Mb containing a potential candidate gene TaGS5-3D. An SNP (T > C) was detected in its ninth intron, and TaGS5-3D-C was validated as a superior allele associated with larger grains using a CAPS marker. Interestingly, we found that TaGS5-3D-C was closely related to significantly up-regulated expression of intron-retained transcript (TaGS5-3D-PD34.1), while TaGS5-3D-T was related to dominant expression of normal splicing transcript (TaGS5-3D-MY47.1). Our results indicated that alternative splicing associated with the SNP T/C could be involved in the regulation of grain-related traits, laying a foundation for the functional analysis of TaGS5-3D and its greater potential application in high-yield wheat breeding.

Identifiants

pubmed: 37606787
doi: 10.1007/s00122-023-04439-2
pii: 10.1007/s00122-023-04439-2
doi:

Substances chimiques

Nucleotides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

193

Subventions

Organisme : National Key Research and Development Program of China
ID : 2016YFD0100302
Organisme : Natural Science Foundation of Shaanxi Province
ID : 2021JM-090

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Références

Arif MAR, Shokat S, Plieske J, Ganal M, Lohwasser U, Chesnokov YV, Kocherina NV, Kulwal P, Kumar N, McGuire PE, Sorrells ME, Qualset CO, Borner A (2021) A SNP-based genetic dissection of versatile traits in bread wheat (Triticum aestivum L.). Plant J 108:960–976
pubmed: 34218494
Beres BL, Rahmani E, Clarke JM, Grassini P, Pozniak CJ, Geddes CM, Porker KD, May WE, Ransom JK (2020) A systematic review of durum wheat: enhancing production systems by exploring genotype, environment, and management (G x E x M) synergies. Front Plant Sci 11:568657
pubmed: 33193496 pmcid: 7658099
Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120
pubmed: 24695404 pmcid: 4103590
Broman KW, Wu H, Sen S, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics 19:889–890
pubmed: 12724300
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
pubmed: 31529397
Cao J, Shang Y, Xu D, Xu K, Cheng X, Pan X, Liu X, Liu M, Gao C, Yan S, Yao H, Gao W, Lu J, Zhang H, Chang C, Xia X, Xiao S, Ma C (2020a) Identification and validation of new stable QTLs for grain weight and size by multiple mapping models in common wheat. Front Genet 11:584859
pubmed: 33262789 pmcid: 7686802
Cao S, Xu D, Hanif M, Xia X, He Z (2020b) Genetic architecture underpinning yield component traits in wheat. Theor Appl Genet 133:1811–1823
pubmed: 32062676
Chen Z, Cheng X, Chai L, Wang Z, Bian R, Li J, Zhao A, Xin M, Guo W, Hu Z, Peng H, Yao Y, Sun Q, Ni Z (2020a) Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.). Theor Appl Genet 133:149–162
pubmed: 31570967
Chen Z, Cheng X, Chai L, Wang Z, Du D, Wang Z, Bian R, Zhao A, Xin M, Guo W, Hu Z, Peng H, Yao Y, Sun Q, Ni Z (2020b) Pleiotropic QTL influencing spikelet number and heading date in common wheat (Triticum aestivum L.). Theor Appl Genet 133:1825–1838
pubmed: 32016554
Dixon LE, Greenwood JR, Bencivenga S, Zhang P, Cockram J, Mellers G, Ramm K, Cavanagh C, Swain SM, Boden SA (2018) TEOSINTE BRANCHED1 regulates inflorescence architecture and development in bread wheat (Triticum aestivum). Plant Cell 30:563–581
pubmed: 29444813 pmcid: 5894836
Gao F, Wen W, Liu J, Rasheed A, Yin G, Xia X, Wu X, He Z (2015) Genome-wide linkage mapping of QTL for yield components, plant height and yield-related physiological traits in the Chinese wheat cross Zhou 8425B/Chinese Spring. Front Plant Sci 6:1099
pubmed: 26734019 pmcid: 4683206
Guo L, Ma M, Wu L, Zhou M, Li M, Wu B, Li L, Liu X, Jing R, Chen W, Zhao H (2021) Modified expression of TaCYP78A5 enhances grain weight with yield potential by accumulating auxin in wheat (Triticum aestivum L.). Plant Biotechnol J 20:168–182
pubmed: 34510688 pmcid: 8710830
Hanif M, Gao F, Liu J, Wen W, Zhang Y, Rasheed A, Xia X, He Z, Cao S (2016) TaTGW6-A1, an ortholog of rice TGW6, is associated with grain weight and yield in bread wheat. Mol Breed 36
Hu M, Zhang H, Liu K, Cao J, Wang S, Jiang H, Wu Z, Lu J, Zhu X, Xia X, Sun G, Ma C, Chang C (2016) Cloning and characterization of TaTGW-7A gene associated with grain weight in wheat via SLAF-seq-BSA. Front Plant Sci 7:1902
pubmed: 28066462 pmcid: 5167734
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
pubmed: 31897512
Jiang P, Gao J, Mu J, Duan L, Gu Y, Han S, Chen L, Li Y, Yan Y, Li X (2020) Interaction between serine carboxypeptidase-like protein TtGS5 and Annexin D1 in developing seeds of Triticum timopheevi. J Appl Genet 61:151–162
pubmed: 31970663
Kim D, Langmead B, Salzberg SL (2015) HISAT: a fast spliced aligner with low memory requirements. Nat Methods 12:357–360
pubmed: 25751142 pmcid: 4655817
Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones SJ, Marra MA (2009) Circos: an information aesthetic for comparative genomics. Genome Res 19:1639–1645
pubmed: 19541911 pmcid: 2752132
Kuzay S, Xu Y, Zhang J, Katz A, Pearce S, Su Z, Fraser M, Anderson JA, Brown-Guedira G, DeWitt N, Peters HA, 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
pubmed: 31254024 pmcid: 6708044
Langmead B, Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9:357–359
pubmed: 22388286 pmcid: 3322381
Li W, Yang B (2017) Translational genomics of grain size regulation in wheat. Theor Appl Genet 130:1765–1771
pubmed: 28765985
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079
pubmed: 19505943 pmcid: 2723002
Li F, Wen W, He Z, Liu J, Jin H, Cao S, Geng H, Yan J, Zhang P, Wan Y, Xia X (2018) Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers. Theor Appl Genet 131:1903–1924
pubmed: 29858949
Li F, Wen W, Liu J, Zhang Y, Cao S, He Z, Rasheed A, Jin H, Zhang C, Yan J, Zhang P, Wan Y, Xia X (2019) Genetic architecture of grain yield in bread wheat based on genome-wide association studies. BMC Plant Biol 19:168
pubmed: 31035920 pmcid: 6489268
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
pubmed: 32870326
Liu D, Ma C, Hong W, Huang L, Liu M, Liu H, Zeng H, Deng D, Xin H, Song J, Xu C, Sun X, Hou X, Wang X, Zheng H (2014a) Construction and analysis of high-density linkage map using high-throughput sequencing data. PLoS ONE 9:e98855
pubmed: 24905985 pmcid: 4048240
Liu G, Jia L, Lu L, Qin D, Zhang J, Guan P, Ni Z, Yao Y, Sun Q, Peng H (2014b) Mapping QTLs of yield-related traits using RIL population derived from common wheat and Tibetan semi-wild wheat. Theor Appl Genet 127:2415–2432
pubmed: 25208643
Liu H, Li H, Hao C, Wang K, Wang Y, Qin L, An D, Li T, Zhang X (2019) TaDA1, a conserved negative regulator of kernel size, has an additive effect with TaGW2 in common wheat (Triticum aestivum L.). Plant Biotechnol J 18:1330–1342
pubmed: 31733093 pmcid: 7152612
Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25:402–408
pubmed: 11846609
Ma M, Wang Q, Li Z, Cheng H, Li Z, Liu X, Song W, Appels R, Zhao H (2015) Expression of TaCYP78A3, a gene encoding cytochrome P450 CYP78A3 protein in wheat (Triticum aestivum L.), affects seed size. Plant J 83:312–325
pubmed: 26043144
Ma L, Li T, Hao C, Wang Y, Chen X, Zhang X (2016) TaGS5-3A, a grain size gene selected during wheat improvement for larger kernel and yield. Plant Biotechnol J 14:1269–1280
pubmed: 26480952
Ma J, Ding P, Liu J, Li T, Zou Y, Habib A, Mu Y, Tang H, Jiang Q, Liu Y, Chen G, Wang J, Deng M, Qi P, Li W, Pu Z, Zheng Y, Wei Y, Lan X (2019a) Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. Theor Appl Genet 132:3155–3167
pubmed: 31435704
Ma L, Hao C, Liu H, Hou J, Li T, Zhang X (2019b) Diversity and sub-functionalization of TaGW8 homoeologs hold potential for genetic yield improvement in wheat. Crop J 7:830–844
Ma J, Tu Y, Zhu J, Luo W, Liu H, Li C, Li S, Liu J, Ding P, Habib A, Mu Y, Tang H, Liu Y, Jiang Q, Chen G, Wang J, Li W, Pu Z, Zheng Y, Wei Y, Kang H, Chen G, Lan X (2020) Flag leaf size and posture of bread wheat: genetic dissection, QTL validation and their relationships with yield-related traits. Theor Appl Genet 133:297–315
pubmed: 31628527
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA (2010) The genome analysis toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20:1297–1303
pubmed: 20644199 pmcid: 2928508
Mohler V, Albrecht T, Castell A, Diethelm M, Schweizer G, Hartl L (2016) Considering causal genes in the genetic dissection of kernel traits in common wheat. J Appl Genet 57:467–476
pubmed: 27108336
Nadolska-Orczyk A, Rajchel IK, Orczyk W, Gasparis S (2017) Major genes determining yield-related traits in wheat and barley. Theor Appl Genet 130:1081–1098
pubmed: 28314933 pmcid: 5440550
Pang Y, Liu C, Wang D, Amand PS, 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
pubmed: 32702458
Pearce S, Saville R, Vaughan SP, Chandler PM, Wilhelm EP, Sparks CA, Al-Kaff N, Korolev A, Boulton MI, Phillips AL, Hedden P, Nicholson P, Thomas SG (2011) Molecular characterization of Rht-1 dwarfing genes in hexaploid wheat. Plant Physiol 157:1820–1831
pubmed: 22013218 pmcid: 3327217
Pertea M, Pertea GM, Antonescu CM, Chang TC, Mendell JT, Salzberg SL (2015) StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat Biotechnol 33:290–295
pubmed: 25690850 pmcid: 4643835
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590-596
pubmed: 23193283
Saini DK, Srivastava P, Pal N, Gupta PK (2022) Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.). Theor Appl Genet 135:1049–1081
pubmed: 34985537
Su Z, Hao C, Wang L, Dong Y, Zhang X (2011) Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.). Theor Appl Genet 122:211–223
pubmed: 20838758
Sun C, Dong Z, Zhao L, Ren Y, Zhang N, Chen F (2020) The Wheat 660K SNP array demonstrates great potential for marker-assisted selection in polyploid wheat. Plant Biotechnol J 18:1354–1360
pubmed: 32065714 pmcid: 7206996
Tu Y, Liu H, Liu J, Tang H, Mu Y, Deng M, Jiang Q, Liu Y, Chen G, Wang J, Qi P, Pu Z, Chen G, Peng Y, Jiang Y, Xu Q, Kang H, Lan X, Wei Y, Zheng Y, Ma J (2020) QTL mapping and validation of bread wheat flag leaf morphology across multiple environments in different genetic backgrounds. Theor Appl Genet 134:261–278
pubmed: 33026461
Wang S, Yan X, Wang Y, Liu H, Cui D, Chen F (2016) Haplotypes of the TaGS5-A1 gene are associated with thousand-kernel weight in chinese bread wheat. Front Plant Sci 7:783
pubmed: 27375643 pmcid: 4891348
Wang Y, Yu H, Tian C, Sajjad M, Gao C, Tong Y, Wang X, Jiao Y (2017) Transcriptome association identifies regulators of wheat spike architecture. Plant Physiol 175:746–757
pubmed: 28807930 pmcid: 5619896
Wang W, Simmonds J, Pan Q, Davidson D, He F, Battal A, Akhunova A, Trick HN, Uauy C, Akhunov E (2018) Gene editing and mutagenesis reveal inter-cultivar differences and additivity in the contribution of TaGW2 homoeologues to grain size and weight in wheat. Theor Appl Genet 131:2463–2475
pubmed: 30136108 pmcid: 6208945
Wang W, Pan Q, Tian B, He F, Chen Y, Bai G, Akhunova A, Trick HN, Akhunov E (2019a) Gene editing of the wheat homologs of TONNEAU1-recruiting motif encoding gene affects grain shape and weight in wheat. Plant J 100:251–264
pubmed: 31219637 pmcid: 6851855
Wang X, Dong L, Hu J, Pang Y, Hu L, Xiao G, Ma X, Kong X, Jia J, Wang H, Kong L (2019b) Dissecting genetic loci affecting grain morphological traits to improve grain weight via nested association mapping. Theor Appl Genet 132:3115–3128
pubmed: 31399755 pmcid: 6791957
Wang Y, Hou J, Liu H, Li T, Wang K, Hao C, Liu H, Zhang X (2019c) TaBT1, affecting starch synthesis and thousand kernel weight, underwent strong selection during wheat improvement. J Exp Bot 70:1497–1511
pubmed: 30753656 pmcid: 6411380
Wu QH, Chen YX, Zhou SH, Fu L, Chen JJ, Xiao Y, Zhang D, Ouyang SH, Zhao XJ, Cui Y, Zhang DY, Liang Y, Wang ZZ, Xie JZ, Qin JX, Wang GX, Li DL, Huang YL, Yu MH, Lu P, Wang LL, Wang L, Wang H, Dang C, Li J, Zhang Y, Peng HR, Yuan CG, You MS, Sun QX, Wang JR, Wang LX, Luo MC, Han J, Liu ZY (2015) High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda 1817 x Beinong6. PLoS ONE 10:e0118144
pubmed: 25675376 pmcid: 4326355
Wurschum 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
pubmed: 29959471
Xiao J, Liu B, Yao Y, Guo Z, Jia H, Kong L, Zhang A, Ma W, Ni Z, Xu S, Lu F, Jiao Y, Yang W, Lin X, Sun S, Lu Z, Gao L, Zhao G, Cao S, Chen Q, Zhang K, Wang M, Wang M, Hu Z, Guo W, Li G, Ma X, Li J, Han F, Fu X, Ma Z, Wang D, Zhang X, Ling HQ, Xia G, Tong Y, Liu Z, He Z, Jia J, Chong K (2022) Wheat genomic study for genetic improvement of traits in China. Sci China Life Sci 65:1718–1775
pubmed: 36018491
Xu C, Liu Y, Li Y, Xu X, Xu C, Li X, Xiao J, Zhang Q (2015) Differential expression of GS5 regulates grain size in rice. J Exp Bot 66:2611–2623
pubmed: 25711711 pmcid: 4986870
Yan X, Zhao L, Ren Y, Dong Z, Cui D, Chen F (2019) Genome-wide association study revealed that the TaGW8 gene was associated with kernel size in Chinese bread wheat. Sci Rep 9:2702
pubmed: 30804359 pmcid: 6389898
Yang J, Zhou Y, Wu Q, Chen Y, Zhang P, Zhang Ye HuW, Wang X, Zhao H, Dong L, Han J, Liu Z, Cao T (2019) Molecular characterization of a novel TaGL3-5A allele and its association with grain length in wheat (Triticum aestivum L.). Theor Appl Genet 132:1799–1814
pubmed: 30824973
Yang L, Zhao D, Meng Z, Xu K, Yan J, Xia X, Cao S, Tian Y, He Z, Zhang Y (2020) QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping. Theor Appl Genet 133:857–872
pubmed: 31844965
Yang Y, Amo A, Wei D, Chai Y, Zheng J, Qiao P, Cui C, Lu S, Chen L, Hu YG (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
pubmed: 34142166
Yu K, Liu D, Chen Y, Wang D, Yang W, Yang W, Yin L, Zhang C, Zhao S, Sun J, Liu C, Zhang A (2019) Unraveling the genetic architecture of grain size in einkorn wheat through linkage and homology mapping and transcriptomic profiling. J Exp Bot 70:4671–4688
pubmed: 31226200 pmcid: 6760303
Zhang L, Zhao YL, Gao LF, Zhao GY, Zhou RH, Zhang BS, Jia JZ (2012) TaCKX6-D1, the ortholog of rice OsCKX2, is associated with grain weight in hexaploid wheat. New Phytol 195:574–584
pubmed: 22670578
Zhang Y, Liu J, Xia X, He Z (2014) TaGS-D1, an ortholog of rice OsGS3, is associated with grain weight and grain length in common wheat. Mol Breed 34:1097–1107
Zhang Y, Miao H, Wang C, Zhang J, Zhang X, Shi X, Xie S, Li T, Deng P, Wang C, Chen C, Zhang H, Ji W (2022) Genetic identification of the pleiotropic gene Tasg-D1/2 affecting wheat grain shape by regulating brassinolide metabolism. Plant Sci 323:111392
pubmed: 35868348
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
pubmed: 25056774 pmcid: 4157721

Auteurs

Yaoyuan Zhang (Y)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Hanxiao Miao (H)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Yi Xiao (Y)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Chao Wang (C)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Junjie Zhang (J)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Xiaoxi Shi (X)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Songfeng Xie (S)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.

Changyou Wang (C)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.

Tingdong Li (T)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.

Pingchuan Deng (P)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.

Chunhuan Chen (C)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China.

Hong Zhang (H)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China. zhangh1129@nwafu.edu.cn.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China. zhangh1129@nwafu.edu.cn.

Wanquan Ji (W)

State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, China. jiwanquan2008@126.com.
Shaanxi Research Station of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Yangling, 712100, China. jiwanquan2008@126.com.

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