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A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO1 for the number of spikelets per spike of wheat shows no adverse effects on yield-related traits

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Abstract

Key message

A likely new locus QSns.sau-MC-3D.1 associated with SNS showing no negative effect on yield-related traits compared to WAPO1 was identified and validated in various genetic populations under multiple environments.

Abstract

The number of spikelets per spike (SNS) is one of the crucial factors determining wheat yield. Thus, improving our understanding of the genes that regulate SNS could help develop wheat varieties with higher yield. In this study, a recombinant inbred line (RIL) population (MC) containing 198 lines derived from a cross between msf and Chuannong 16 (CN16) was used to construct a genetic linkage map using the GenoBaits Wheat 16 K Panel. The genetic map contained 5,991 polymorphic SNP markers spanning 2,813.25 cM. A total of twelve QTL for SNS were detected, and two of them, i.e., QSns.sau-MC-3D.1 and QSns.sau-MC-7A, were stably expressed. QSns.sau-MC-3D.1 had high LOD values ranging from 4.99 to 11.06 and explained 9.71–16.75% of the phenotypic variation. Comparison of QSns.sau-MC-3D.1 with previously reported SNS QTL suggested that it is likely a novel one, and two kompetitive allele-specific PCR (KASP) markers were further developed. The positive effect of QSns.sau-MC-3D.1 was also validated in three biparental populations and a diverse panel containing 388 Chinese wheat accessions. Genetic analysis indicated that WHEAT ORTHOLOG OFAPO1 (WAPO1) was a candidate gene for QSns.sau-MC-7A. Pyramiding of QSns.sau-MC-3D.1 and WAP01 had a great additive effect increasing SNS by 7.10%. Correlation analysis suggested that QSns.sau-MC-3D.1 was likely independent of effective tiller number, plant height, spike length, anthesis date, and thousand kernel weight. However, the H2 haplotype of WAPO1 may affect effective tiller number and plant height. These results indicated that utilization of QSns.sau-MC-3D.1 should be given priority for wheat breeding. Geographical distribution analysis showed that the positive allele of QSns.nsau-MC-3D.1 was dominant in most wheat-producing regions of China, and it has been positively selected among modern cultivars released in China since the 1940s. Gene prediction, qRT-PCR analysis, and sequence alignment suggested that TraesCS3D03G0216800 may be the candidate gene of QSns.nsau-MC-3D.1. Taken together, these results enrich our understanding of the genetic basis of wheat SNS and will be useful for fine mapping and cloning of the gene underlying QSns.sau-MC-3D.1.

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Data availability

All data generated or analyzed during this study are included in this published article and its supplementary information files or from the corresponding authors upon reasonable request.

Abbreviations

AD:

Anthesis date

ANOVA:

Analysis of variance

BLUP:

Best linear unbiased prediction

CAW:

Chinese wheat accession

CMC:

Chinese modern cultivar

CS:

Chinese Spring

ETN:

Effective tiller number

IWGSC:

International Wheat Genome Sequencing Consortium

KASP:

Kompetitive allele-specific PCR

LY:

Luoyang

ML:

Mini-core collection

PH:

Plant height

PVE:

Phenotypic variance

QTL:

Quantitative trait loci

RIL:

Recombinant inbred line

SL:

Spike length

SNP:

Single nucleotide polymorphism

SNS:

The number of spikelets per spike

TKW:

Thousand kernel weight

WAPO1 :

WHEAT ORTHOLOG OFAPO1

References

  • Beales J, Turner A, Griffiths S, Snape JW, Laurie DA (2007) A pseudo-response regulator is misexpressed in the photoperiod insensitive Ppd-D1a mutant of wheat (Triticum aestivum L.). Theor Appl Genet 115:721–733

    Article  CAS  PubMed  Google Scholar 

  • Boden SA, Cavanagh C, Cullis BR, Ramm K, Greenwood J, Jean Finnegan E, Trevaskis B, Swain SM (2015) Ppd-1 is a key regulator of inflorescence architecture and paired spikelet development in wheat. Nat Plants 1:14016

    Article  CAS  PubMed  Google Scholar 

  • Che Y, Song N, Yang Y, Yang X, Duan Q, Zhang Y, Lu Y, Li X, Zhang J, Li X, Zhou S, Li L, Liu W (2018) QTL mapping of six spike and stem traits in hybrid population of Agropyron Gaertn. in multiple environments. Front Plant Sci 9:1442

    Article  Google Scholar 

  • Chen D, Wu X, Wu K, Zhang J, Liu W, Yang X, Li X, Lu Y, Li L (2017) Novel and favorable genomic regions for spike related traits in a wheat germplasm Pubing 3504 with high grain number per spike under varying environments. J Integr Agric 16:2386–2401

    Article  Google Scholar 

  • Ding A, Cui F, Li J, Zhao C, Wang X, Wang H (2011) QTL analysis of yield and plant height in wheat. Sci Agron Sin 44:2857–2867

    Google Scholar 

  • Ding P, Zhou J, Zhao C, Tang H, Mou Y, Tang L, Deng M, Wei Y, Lan X, Ma J (2022) Haplotype, genetic effect, geographical distribution and breeding utilization analysis of the wheat spikelet number regulated gene WAPO1. Acta Agron Sinica (chinese Version) 48:2196–2209

    Google Scholar 

  • Dixon LE, Greenwood JR, Bencivenga S, Zhang P, Boden SA (2018) TEOSINTE BRANCHED1 regulates inflorescence architecture and development in bread wheat (Triticum aestivum). Plant Cell 30:563–581

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Du D, Zhang D, Yuan J, Feng M, Ni Z (2021) FRIZZY PANICLE defines a regulatory hub for simultaneously controlling spikelet formation and awn elongation in bread wheat. New Phytol 231:814–833

    Article  CAS  PubMed  Google Scholar 

  • Faris JD, Fellers JP, Brooks SA, Gill BS (2003) A bacterial artificial chromosome contig spanning the major domestication locus Q in wheat and identification of a candidate gene. Genetics 164:311–321

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Ge M, Yu K, Ding A, Liu G (2022) Input-output efficiency of water-energy-food and its driving forces: spatial-temporal heterogeneity of Yangtze river economic belt, China. Int J Environ Res Public Health 19:1340

    Article  PubMed  PubMed Central  Google Scholar 

  • Guo Z, Yang Q, Huang F, Zheng H, Sang Z, Xu Y, Zhang C, Wu K, Tao J, Prasanna BM, Olsen MS, Wang Y, Zhang J, Xu Y (2021) Development of high-resolution multiple-SNP arrays for genetic analyses and molecular breeding through genotyping by target sequencing and liquid chip. Plant Commun 2:100230

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Huang S, Zhang Y, Ren H, Li X, Zhang X, Zhang Z, Zhang C, Liu S, Wang X, Zeng Q, Wang Q, Singh RP, Bhavani S, Wu J, Han D, Kang Z (2022) Epistatic interaction effect between chromosome 1BL (Yr29) and a novel locus on 2AL facilitating resistance to stripe rust in Chinese wheat Changwu 357–9. Theor Appl Genet 135:2501–2513

    Article  CAS  PubMed  Google Scholar 

  • Jung WJ, Seo YW (2021) Development of subgenome-specific PCR markers in the short arm of wheat and rye chromosome 1 and their utilization in wheat-rye translocation breeding. Euphytica 217:142

    Article  CAS  Google Scholar 

  • Kharabian-Masouleh A, Waters DLE, Reinke RF, Ward R, Henry RJ (2012) SNP in starch biosynthesis genes associated with nutritional and functional properties of rice. Sci Rep 2:557

    Article  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 Y, Fu X, Zhao M, Zhang W, Li B, An D, Li J, Zhang A, Liu R, Liu X (2018) A genome-wide view of transcriptome dynamics during early spike development in bread wheat. Sci Rep 8:1–16

    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 (2020a) 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 Y-F, Zeng X-Q, Li Y, Wang L, Zhuang H, Wang Y, Tang J, Wang H-L, Xiong M, Yang F-Y (2020b) MULTI-FLORET SPIKELET 2, a MYB transcription factor, determines spikelet meristem fate and floral organ identity in rice. Plant Physiol 184:988–1003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Li J, Miao B, Wang S, Dong W, Xu H, Si C, Wang W, Duan S, Lou J, Bao Z (2022) Hiplot: a comprehensive and easy-to-use web service boosting publication-ready biomedical data visualization. Brief Bioinform 23:bbac261

  • Liu S, Zhou R, Dong Y, Li P, Jia J (2006) Development, utilization of introgression lines using a synthetic wheat as donor. Theor Appl Genet 112:1360–1373

    Article  CAS  PubMed  Google Scholar 

  • Liu J, Luo W, Qin N, Ding P, Zhang H, Yang C, Mu Y, Tang H, Liu Y, Li W, Jiang Q, Chen G, Wei Y, Zheng Y, Liu C, Lan X, Ma J (2018) A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat. Theor Appl Genet 131:2439–2450

    Article  CAS  PubMed  Google Scholar 

  • Liu J, Yao Y, Xin M, Peng H, Ni Z, Sun Q (2022) Shaping polyploid wheat for success: Origins, domestication, and the genetic improvement of agronomic traits. J Integr Plant Biol 64:536–563

    Article  PubMed  Google Scholar 

  • Luo W, Ma J, Zhou X-H, Sun M, Kong X-C, Wei Y-M, Jiang Y-F, Qi P-F, Jiang Q-T, Liu Y-X, Peng Y-Y, Chen G-Y, Zheng Y-L, Liu C, Lan X-J (2016) Identification of quantitative trait loci controlling agronomic traits indicates breeding potential of Tibetan Semiwild Wheat (Triticum aestivum ssp. tibetanum). Crop Sci 56:2410–2420

    Article  CAS  Google Scholar 

  • 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 (2019) Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat. Theor Appl Genet 132:3155–3167

    Article  CAS  PubMed  Google Scholar 

  • Ma S, Wang M, Wu J, Guo W, Chen Y, Li G, Wang Y, Shi W, Xia G, Fu D (2021) WheatOmics: a platform combining multiple omics data to accelerate functional genomics studies in wheat. Mol Plant 14:1965–1968

    Article  CAS  PubMed  Google Scholar 

  • Masoodi KZ, Lone SM, Rasool RS (2021) Chapter 7—GENOMIC DNA extraction from the plant leaves using the CTAB method. Adv Methods Mol Biol Biotechnol 7:37–44

  • Mo Z, Zhu J, Wei J, Zhou J, Xu Q, Tang H, Mu Y, Deng M, Jiang Q, Liu Y, Chen G, Wang J, Qi P, Li W, Wei Y, Zheng Y, Lan X, Ma J (2021) The 55K SNP-based exploration of QTLs for spikelet number per spike in a tetraploid wheat (Triticum turgidum L.) population: Chinese Landrace “Ailanmai” × Wild Emmer. Front Plant Sci 12:732837

  • Seetharam AS, Yu Y, Bélanger S, Clark LG, Meyers BC, Kellogg EA, Hufford MB (2021) The Streptochaeta genome and the evolution of the grasses. Front Plant Sci 12:710383

    Article  PubMed  PubMed Central  Google Scholar 

  • Shukla S, Singh K, Patil RV, Kadam S, Bharti S, Prasad P, Singh NK, Khanna-Chopra R (2015) Genomic regions associated with grain yield under drought stress in wheat (Triticum aestivum L.). Euphytica 203:449–467

    Article  CAS  Google Scholar 

  • Singh K, Batra R, Sharma S, Saripalli G, Gautam T, Singh R, Pal S, Malik P, Kumar M, Jan I, Singh S, Kumar D, Pundir S, Chaturvedi D, Verma A, Rani A, Kumar A, Sharma H, Chaudhary J, Kumar K, Kumar S, Singh VK, Singh VP, Kumar S, Kumar R, Gaurav SS, Sharma S, Sharma PK, Balyan HS, Gupta PK (2021) WheatQTLdb: a QTL database for wheat. Mol Genet Genom 296:1051–1056

    Article  CAS  Google Scholar 

  • Smith SE, Kuehl RO, Ray IM, Hui R, Soleri D (1998) Evaluation of simple methods for estimating broad-sense heritability in stands of randomly planted genotypes. Crop Sci 38:1125–1129

    Article  Google Scholar 

  • Sun C, Zhang F, Yan X, Zhang X, Dong Z, Cui D, Chen F (2017) Genome-wide association study for 13 agronomic traits reveals distribution of superior alleles in bread wheat from the Yellow and Huai Valley of China. Plant Biotechnol J 15:953–969

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wang Y, Hou J, Liu H, Li T, Wang K, Hao C, Liu H, Zhang X (2019) TaBT1, affecting starch synthesis and thousand kernel weight, underwent strong selection during wheat improvement. J Exp Bot 70:1497–1511

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yan L, Fu D, Li C, Blechl A, Tranquilli G, Bonafede M, Sanchez A, Valárik M, Yasuda S, Dubcovsky J (2006) The wheat and barley vernalization gene VRN3 Is an orthologue of FT. Proc Natl Acad Sci USA 103:19581–19586

    Article  CAS  PubMed  PubMed Central  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 X, Jia H, Li T, Wu J, Nagarajan R, Lei L, Powers C, Kan C-C, Hua W, Liu Z, Chen C, Carver BF, Yan L (2022) TaCol-B5 modifies spike architecture and enhances grain yield in wheat. Science 376:180–183

    Article  CAS  PubMed  Google Scholar 

  • Zhao XL, Shi ZY, Peng LT, Shen GZ, Zhang JL (2011) An atypical HLH protein OsLF in rice regulates flowering time and interacts with OsPIL13 and OsPIL15. New Biotechnol 28:788–797

    Article  CAS  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 

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

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Dr. Lihui Li (CAAS, China) for providing CAW accessions. We thank the anonymous referees for critical reading and revising this manuscript.

Funding

This work is supported by the Natural Science Foundation of Sichuan Province (2022NSFSC1729, 2023NSFSC0223), the Key Research and Development Program of Sichuan Province (2021YFYZ0002 and 2023YFSY0056), Sichuan Science and Technology Program (2022YFH0053 and 2021YFH0083), and Sichuan Province Science Foundation for Distinguished Young Scholars (2022JDJQ0006).

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Authors and Affiliations

Authors

Contributions

JGZ finished the study and wrote this manuscript. WL participated in field work and analyzed data. YYY, XLX, JJL, and MD helped phenotype measurement and data analysis. YLL, HPT, QX and QTJ did field work and data analysis. GYC, PFQ, YFJ, and GDC collected and analyzed data. YJH, YR, LWT, and LLG helped with data analysis. YLZ revised the manuscript. YMW discussed results and revised the manuscript. JM designed the experiments, guided the entire study, participated in data analysis, wrote, and extensively revised this manuscript. All authors participated in the research and approved the final manuscript.

Corresponding authors

Correspondence to Yuming Wei or Jian Ma.

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The authors have declared that no competing interests exist.

Ethical approval

All experiments and data analyses were conducted in Sichuan. All authors contributed to the study and approved the final version for submission. The manuscript has not been submitted to any other journal.

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Communicated by Takao Komatsuda.

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Supplementary Information

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122_2023_4429_MOESM1_ESM.tiff

Fig S1. Phenotypic distribution of SNS at five environments and BLUP. Red and black triangles represent the parents msf and CN16, respectively. (TIFF 896 kb)

122_2023_4429_MOESM2_ESM.tiff

Fig S2. Haplotype identification of WAPO1 in msf and CN16. (A), Promoter genotyping of WAPO1 in msf and CN16; (B), Genotyping of WAPO1 functional markers in msf and CN16. Blue boxes and orange round frames are the alleles with 140G and 140T, respectively. Black boxes are blank controls, and 20828 is the 140T positive control from a previous study (Ding et al. 2022). (TIFF 1252 kb)

122_2023_4429_MOESM3_ESM.tiff

Fig S3. Genetic map of the major QTL QSns.sau-MC-7A and the effect of WAPO1. (A), Genetic map of chromosome 3D containing the marker K-WAPO1. The pink area is the interval of QSns.sau-MC-7A. (B), A box plot that shows the effect of WAPO1 calculated after grouping the MC RIL population into two categories based on the K-WAPO1. Orange and gray boxes indicate lines are H2 and H3 haplotypes of WAPO1, respectively. **Significance level at P < 0.01. Differences in SNS between the lines of two haplotypes are labeled below the environment names and BLUP. (TIFF 655 kb)

122_2023_4429_MOESM4_ESM.tiff

Fig S4. Fluorescence PCR genotyping results of the KASP marker KASP-10 in four populations. (A-B), (C-E), (F-G), and (H-K), Fluorescence PCR genotyping results of the KASP marker KASP-10 in the four populations, msf × 3642, msf × 20828, msf × Shumai969, and CAW, respectively. Blue box (HEX fluorescence) represents lines with the homozygous genotype AA; The orange frame (FAM fluorescence) represents lines with the homozygous genotype GG; The green triangle represents lines with heterozygous genotype GA; Black boxes are blank controls. (TIFF 2301 kb)

122_2023_4429_MOESM5_ESM.tiff

Fig S5. Distribution of 143 Chinese landraces (A) and 245 modern cultivars (B) in ten production zones. I, northern winter wheat region; II, Yellow and Huai River valley winter wheat region; III, low and middle Yangtze River valley winter wheat region; IV, southwestern winter wheat region; V, southern winter wheat region; VI, northeastern spring wheat region; VII, northern spring wheat region; VIII, northwestern spring wheat region; IX, Qinghai–Tibet spring–winter wheat region; X, Xinjiang winter–spring wheat region. Student’s t-test comparing the values for SNS of two groups of accessions from the 143 Chinese landraces (C) and 245 modern cultivars (D) carrying the genotype either GG or AA for QSns.sau-MC-3D.1. *Significance level at P < 0.05, ns indicates no significant difference between the two groups. Percentage differences in SNS between the two groups are indicated above the P values. (TIFF 2173 kb)

122_2023_4429_MOESM6_ESM.tiff

Fig S6. Effect of 1BL/1RS translocations on SNS in the msf × CN16 population. The orange and gray box represents the lines with non-1BL/1RS translocations and 1BL/1RS translocations, respectively. ns indicates no significant difference between the two groups. Percentage differences in SNS between the two groups are indicated above the P values at the top of each plot. (TIFF 135 kb)

122_2023_4429_MOESM7_ESM.tiff

Fig S7. Expression pattern of genes within the QSns.sau-MC-3D.1 interval. A, Genes expressed in various tissues and their expression patterns; (B) and (C), the high-confidence 93 genes and their expression in six different developmental stages of spike, respectively. RV, LSV, LSS, LSR, SR, and GR represent root in vegetative stage, leaf or root in vegetative stage, leaf or root in seedling stage, leaf or root in reproductive stage, spike in reproductive stage, and grain in reproductive stage, respectively. KNI, KNII, KNIII, KNIV, KNV, and KNVI represent spikes in the vegetative stage, elongation stage, single ridge stage, double ridge stage, glume primordium differentiation stage, and floret differentiation stage, respectively. (TIFF 2259 kb)

122_2023_4429_MOESM8_ESM.tiff

Fig S8. Expression of TraesCS3D03G0222600 and TraesCS3D03G0216800 in the spike of parent msf and CN16. **Significance level at P < 0.01, and ns indicates no significant difference between the two groups. (TIFF 204 kb)

122_2023_4429_MOESM9_ESM.tiff

Fig S9. Comparison of QSns.sau-MC-3D.1 with previously reported SNS-related quantitative trait loci (QTL) and single nucleotide polymorphisms (SNPs). (A), Deletion bin map of wheat chromosome 3D; (B), Physical location ruler of wheat 3D chromosome; (C), Physical location of previously reported QTL/SNPs for SNS on the 3D chromosome. S, short arm; C, centromere; L, long arm. [a], (Zhai et al. 2016); [b], (Chen et al. 2017); [c], (Sun et al. 2017); [d], (Luo et al. 2016); [e], (Liu et al. 2006); [f], (Shukla et al. 2015). (TIFF 421 kb)

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Zhou, J., Li, W., Yang, Y. et al. A promising QTL QSns.sau-MC-3D.1 likely superior to WAPO1 for the number of spikelets per spike of wheat shows no adverse effects on yield-related traits. Theor Appl Genet 136, 181 (2023). https://doi.org/10.1007/s00122-023-04429-4

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