Skip to main content
Log in

Identification of a major and stable QTL on chromosome 5A confers spike length in wheat (Triticum aestivum L.)

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

Spike length (SL) is the key determinant of plant architecture and yield potential. In this study, 193 recombinant inbred lines (RILs) derived from a cross between 13F10 and Chuanmai 42 (CM42) were evaluated for spike length in six environments. Sixty RILs consisting of 30 high and 30 low SLs were genotyped using the bulked segregant analysis exome sequencing (BSE-Seq) analysis for preliminary quantitative trait locus (QTL) mapping. A 6.69 Mb (518.43–525.12 Mb) region on chromosome 5AL was found to have a significant effect on the SL trait. Fifteen competitive allele-specific PCR (KASP) markers were successfully converted from the single nucleotide polymorphisms (SNPs) in the SL target region. Combined with four novel simple sequence repeat (SSR) markers, a genetic linkage map spanning 21.159 cM was constructed. The mapping result confirmed the identity of a major and stable QTL named QSl.cib-5A in the targeted region that explained 7.88–26.60% of the phenotypic variation in SL. QSl.cib-5A was narrowed to a region of 4.84 cM interval corresponding to a 4.67 Mb (516.60–521.27 Mb) physical region in the Chinese Spring RefSeq v2.0 containing 17 high-confidence genes with 25 transcripts. In addition, this QTL exhibited pleiotropic effects on spikelet density (SD), with the phenotypic variances proportion ranging from 11.34 to 19.92%. This study provides a foundational step for cloning the QSl.cib-5A, which is involved in the regulation of spike morphology in common wheat.

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

Similar content being viewed by others

Data availability

All data generated or analyzed during this study are included in this published article.

References

Download references

Acknowledgements

We are grateful to Bioacme Biotechnology Co., Ltd. (Wuhan, China, http://www.whbioacme.com) for the technical assistance.

Funding

This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Precision Seed Design and Breeding, XDA24030402) and Key Project of wheat breeding in Sichuan Province (2021YFYZ0002).

Author information

Authors and Affiliations

Authors

Contributions

Guangsi Ji carried out most of the experiments and wrote the manuscript. Tao Wang coordinated the project, conceived and designed experiments. Bo Feng conducted the bioinformatics work, generated and analyzed data, and edited the manuscript. Zhibin Xu, Xiaoli Fan, and Qiang Zhou collected the samples. Qin Yu, Xiaofeng Liu, and Simin Liao performed the laboratory work. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Bo Feng.

Ethics declarations

Ethics approval and consent to participate.

Not applicable.

Consent for publication.

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

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

Supplementary Fig. 1 Spike morphology of the parental lines a Spike length of 13F10 (left) and CM42 (right), b Spike density of 13F10 (left) and CM42 (right), The bar represents 1 cm. Supplementary Fig. 2 Phenotype distribution of traits observed in the 13F10×CM42 recombinant inbred line (RIL) population in six environments and BLUE values Traits included spike length (SL), spikelets per spike (SNS), spike density (SD), grain length (GL), grain width (GW), and thousand grain weight (TGW). Environments: Year+Location: SHL (Shuangliu); SHF (Shifang), Supplementary Fig. 3 Distribution and Venn diagram based on SNP and small InDel statistical analyses Distribution of SNP and InDel loci among 21 chromosomes (a), Venn diagram of the SNPs in the four pools (b), Venn diagram of the small InDels in the four pools (c), Supplementary Fig. 4 The results of the Euclidean distance (ED) algorithm, Supplementary Fig. 5 Spike length and spike density of the members of the 13CM population with different alleles in six environments and BLUE data A: lines with the ‘13F10’ allele; B: ‘CM42’ allele. P values were determined using Student’s t test ***P 0.005 ****P 0.001, Supplementary Fig. 6 SNS, TGW, GL and GW of the 13CM population with flanking marker A014150 according to BLUE data BLUE-A: ‘13F10’ allele; BLUE-B: ‘CM42’ allele. P values were determined using the Student’s t test, Supplementary Fig. 7 SNS, TGW, GL and GW of the 13CM population with flanking marker SSR1017719 according to BLUE data BLUE-A: ‘13F10’ allele; BLUE-B: ‘CM42’ allele. P values were determined using the Student’s t test, Supplementary Fig. 8 SL, SD, SNS, TGW, GL and GW of the 13CM population with the Vrn marker according to BLUE data. BLUE-A: ‘13F10’ allele; BLUE-B: ‘CM42’ allele. P values were determined using the Student’s t test. * P 0.05, Supplementary Fig. 9 Sequence alignment of the q/Q gene from 13F10, CM42 and Chinese Spring Only the region spanning the miR172 target site is shown here. (PPTX 2786 KB)

Supplementary file2 (DOCX 43 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ji, G., Xu, Z., Fan, X. et al. Identification of a major and stable QTL on chromosome 5A confers spike length in wheat (Triticum aestivum L.). Mol Breeding 41, 56 (2021). https://doi.org/10.1007/s11032-021-01249-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11032-021-01249-6

Keywords

Navigation