Skip to main content

Advertisement

Log in

Digs out and characterization of the resistance gene accountable to soybean mosaic virus in soybean (Glycine max (L.) Merrill)

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

Abstract

Key message

A putative candidate gene conferring resistance to SMV strain SC1 was identified on chromosome 2, and the linked marker was validated in soybean cultivars

Abstract

Soybean mosaic, caused by the soybean mosaic virus, is the most common disease in soybean and a significant impediment to soybean production in the Huanghuai and Yangtze River regions of China. Kefeng No.1, a soybean cultivar, showed high resistance to soybean mosaic virus strain (SC1) collected from Huanghuai and Yangtze River regions. Genetic analysis based on the Mendelian genic population derived from the cross Kefeng No.1 × Nannong 1138-2 revealed that Kefeng No.1 possesses a single dominant gene. Furthermore, genetic fine-mapping using an F2 population containing 281 individuals delimited resistant gene to a genomic region of 186 kb flanked by SSR markers BS020610 and BS020620 on chromosome 2. Within this region, there were 14 genes based on the Williams 82 reference genome. According to sequence analysis, six of the 14 genes have amino acid differences, and one of these genes is the Rsv4 allele designated as Rsc1-DR. The functional analysis of candidate genes using the bean pod mottle virus (BPMV)-induced gene silencing (VIGS) system revealed that Rsc1-DR was accountable for Kefeng No.1's resistance to SMV-SC1. Based on the genome sequence of Rsc1-DR, an Insertion/Deletion (InDel) molecular marker, JT0212, was developed and genotyped using 100 soybean cultivars, and the coincidence rate was 89%. The study enriched our understanding of the SMV resistance mechanism. The marker developed in this study could be directly used by the soybean breeders to select the genotypes with favorable alleles for making crosses, and also it will facilitate marker-assisted selection of SMV resistance in soybean breeding.

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 data supporting the findings of this study are included within the article, and its supplementary data are published online.

References

Download references

Acknowledgements

We thank John H. Hill (Iowa State University) for providing pBPMV. This work was supported by grants from the Jiangsu Collaborative Innovation Center for Modern Crop Production (JCIC-MCP), the Core Technology Development for Breeding Program of Jiangsu Province (JBGS-2021-014), and the National Soybean Industrial Technology System of China (CARS-004).

Funding

Jiangsu Collaborative Innovation Center for Modern Crop Production, JCIC-MCP, Haijian Zhi, International Science and Technology Cooperation Program of Jiangsu Province, JBGS-2021-014, Haijian Zhi, the National Soybean Industrial Technology System of China, CARS-004, Haijian Zhi

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization and Methodology, Z.H. and J.T; Investigation and data analysis, J.T., Z.T., L.H., C.Y., and K.A.; Resources, Z.H., Z.T., W.L., T.W., Y.J., H.T., and Y.Y.; Writing, J.T., K.A., and Z.H.; Supervision, Z.H., and Z.T.; Funding Acquisition, Z.H.

Corresponding authors

Correspondence to Tuanjie Zhao or Haijian Zhi.

Ethics declarations

Conflict of interests

The authors declare no conflict of interest.

Additional information

Communicated by Dechun Wang.

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 (DOCX 22 KB)

Rights and permissions

Springer Nature or its licensor 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

Jin, T., Karthikeyan, A., Wang, L. et al. Digs out and characterization of the resistance gene accountable to soybean mosaic virus in soybean (Glycine max (L.) Merrill). Theor Appl Genet 135, 4217–4232 (2022). https://doi.org/10.1007/s00122-022-04213-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-022-04213-w

Navigation