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Related Experiment Video

Updated: Jan 8, 2026

Lentivirus Production
11:42

Lentivirus Production

Published on: October 2, 2009

67.2K

Refining Viral Production Estimation.

Hisham M Shaikh1,2,3, Jonas Van den Bremt1, Lisa Schellenberg3,4

  • 1Research Department, Flanders Marine Institute (VLIZ), Ostend, Belgium.

Environmental Microbiology Reports
|December 14, 2025
PubMed
Summary

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This summary is machine-generated.

This study compares methods for measuring viral production in aquatic ecosystems. An enhanced VIPCAL method (VIPCAL-SE) improves accuracy by accounting for variability and secondary infections, aiding ecological understanding.

Area of Science:

  • Aquatic microbial ecology
  • Virology
  • Environmental microbiology

Background:

  • Viral activity significantly impacts aquatic ecosystems by influencing bacterial mortality and lysogeny.
  • The viral production assay is crucial for assessing these viral impacts.
  • Current methods, linear regression and VIPCAL, have limitations in accurately estimating viral production rates.

Purpose of the Study:

  • To compare the accuracy of linear regression and VIPCAL methods for estimating viral production rates.
  • To develop an improved method (VIPCAL-SE) for more precise viral production rate estimations.
  • To enhance the standardization of viral production assays in aquatic viral ecology.

Main Methods:

  • A literature survey identified common methods (linear regression and VIPCAL) used in 89 viral production studies.
Keywords:
VIPCALbacterial growthlysogenylyticmarine virusesmitomycin Cmortalityviral production assayviralprod

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  • Comparative evaluation of linear regression and VIPCAL for estimating lytic and lysogenic viral production rates.
  • Development of VIPCAL-SE by incorporating standard error of the means and bacterial net generation time.

    • Main Results:

    • Significant differences were observed between linear regression and VIPCAL in estimating viral production rates.
    • VIPCAL-SE demonstrated improved accuracy by accounting for biological variability and potential secondary infections.
    • The VIPCAL-SE method is now integrated into the viralprod R package.

    Conclusions:

    • Existing methods for viral production rate estimation show significant discrepancies.
    • VIPCAL-SE offers a more robust and accurate approach for quantifying viral production in aquatic environments.
    • The viralprod R package with VIPCAL-SE facilitates standardized and reliable measurements in aquatic viral ecology.