Skip to main content

Advertisement

Log in

Extraction optimisation to measure viral abundance in red soils

  • ORIGINAL PAPER
  • Published:
Biology and Fertility of Soils Aims and scope Submit manuscript

Abstract

Viruses are extremely abundant in soils and have various important ecological implications therein. The quantification and identification of soil viruses are critical for a comprehensive understanding of their abundance, diversity and ecological functions. Herein, we compared three physical dispersion methods (shaking, vortexing and sonicating) and 10 extraction buffers to determine the best protocol for virus extraction from a broad range of soils in the (sub)tropics. A 5-min sonication combined with potassium citrate (AKC) buffer (1% potassium citrate amended with 10% PBS, 5 mM EDTA and 150 mM MgSO4) treatment yielded virus-like particles (VLPs) at a yield one to two orders of magnitude greater than that achieved via other methods, as determined through epifluorescence microscopy (EFM). Using the most successful method, viral abundance in red soils ranged from 2.3 × 107 VLPs g−1 soil to 1.3 × 109 VLPs g−1 soil, with approximately two times more VLPs in paddy soils than in adjacent upland soils. VLP abundance increased with soil water content (R2 = 0.60), soil organic carbon (R2 = 0.70) and bacterial abundance (R2 = 0.69), suggesting that land use strongly affects viral abundance. This comparison clearly showed that extraction methods determine the measured viral abundance to a great extent. Based on our tests of a broad range of physical dispersion methods and chemical solutions, we concluded that a 5-min sonication combined with potassium citrate buffer treatment is the best approach for extracting VLPs from red subtropical soils.

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

References

Download references

Funding

This study was supported by the National Natural Science Foundation of China (42107312; 42141006), Key Project of Science and Technology Innovation in Ningbo City (2022Z169), “Pioneer” and “Leading Goose” R&D Program of Zhejiang (2023C02016; 2022C02008), Seagull Talent of Yongjiang Talent for Yakov Kuzyakov Fund of Ningbo University and the RUDN University Strategic Academic Leadership Program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tida Ge.

Ethics declarations

Conflict of interest

The authors declare 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 (DOCX 1280 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) 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

Yu, S., Wang, S., Zhao, X. et al. Extraction optimisation to measure viral abundance in red soils. Biol Fertil Soils 59, 927–937 (2023). https://doi.org/10.1007/s00374-023-01765-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00374-023-01765-x

Keywords

Navigation