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Resazurin Assay Data for Mycobacterium tuberculosis Supporting a Model of the Growth Accelerated by a Stochastic Non-Homogeneity

Author

Listed:
  • Eugene B. Postnikov

    (Department of Theoretical Physics, Kursk State University, Radishcheva st. 33, 305000 Kursk, Russia)

  • Andrey A. Khalin

    (Department of Theoretical Physics, Kursk State University, Radishcheva st. 33, 305000 Kursk, Russia)

  • Anastasia I. Lavrova

    (Medical Faculty, Saint-Petersburg State University, 21-thLine V.O. 8a, 199106 Saint-Petersburg, Russia
    Saint-Petersburg State Research Institute of Phthisiopulmonology, Lygovsky Avenue 2-4, 191036 Saint-Petersburg, Russia)

  • Olga A. Manicheva

    (Saint-Petersburg State Research Institute of Phthisiopulmonology, Lygovsky Avenue 2-4, 191036 Saint-Petersburg, Russia)

Abstract

Tuberculosis is one of the most widespread worldwide diseases heavily affecting society. Among popular modern laboratory tests for mycobacterial growth, the resazurin assay has certain advantages due to its effectiveness and relatively low cost. However, the high heterogeneity of the mycobacterial population affects the average growth rate. This fact must be taken into account in a quantitative interpretation of these tests’ output—fluorescence growth curves—related to the population growth of viable mycobacteria. Here, we report the spectrophotometric data obtained via the resazurin assay for the standard reference strain of Mycobacterium tuberculosis H37Rv for different initial dilutions and generation numbers of the culture, as well as their primary processing from the point of view of the stochastic multiplicative growth model. The obtained data, which indicate an accelerated (instead of linear) growth of the population density logarithm between the end of the lag phase and the saturation, provide evidence of the importance of the growth rates’ stochasticity. An analysis of the curve fits resulted in an estimation of the first two moments of the growth rates’ probability distributions, showing its relevance to vital processes for mycobacterial culture.

Suggested Citation

  • Eugene B. Postnikov & Andrey A. Khalin & Anastasia I. Lavrova & Olga A. Manicheva, 2019. "Resazurin Assay Data for Mycobacterium tuberculosis Supporting a Model of the Growth Accelerated by a Stochastic Non-Homogeneity," Data, MDPI, vol. 4(1), pages 1-8, February.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:1:p:36-:d:209750
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    References listed on IDEAS

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    1. S. T. Cole & R. Brosch & J. Parkhill & T. Garnier & C. Churcher & D. Harris & S. V. Gordon & K. Eiglmeier & S. Gas & C. E. Barry & F. Tekaia & K. Badcock & D. Basham & D. Brown & T. Chillingworth & R., 1998. "Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence," Nature, Nature, vol. 393(6685), pages 537-544, June.
    2. Khalin, Andrey A. & Postnikov, Eugene B. & Ryabov, Alexey B., 2018. "Stochastic effects in mean-field population growth: The quasi-Gaussian approximation to the case of a Taylor’s law-distributed substrate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 166-173.
    3. S. T. Cole & R. Brosch & J. Parkhill & T. Garnier & C. Churcher & D. Harris & S. V. Gordon & K. Eiglmeier & S. Gas & C. E. Barry & F. Tekaia & K. Badcock & D. Basham & D. Brown & T. Chillingworth & R., 1998. "Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence," Nature, Nature, vol. 396(6707), pages 190-190, November.
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