Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-29T05:38:17.583Z Has data issue: false hasContentIssue false

Some new results in the mathematical theory of phage-reproduction

Published online by Cambridge University Press:  14 July 2016

Prem S. Puri*
Affiliation:
Purdue University, Lafayette, Indiana

Summary

In the theory of phage reproduction, the mathematical models considered thus far (see Gani [5]) assume that the bacterial burst occurs a fixed time after infection, after a fixed number of generations of phage multiplication, or when the number of mature bacteriophages has reached a fixed threshold. In the present paper, a more realistic assumption is considered: given that until time t the bacterial burst has not taken place, its occurence between tand t + Δt is a random event with probability f(· | tt + ot), where f is a non-negative and non-decreasing function of the number X(t) of vegetative phages and of Z(t), the number of mature bacteriophages at time t. More specifically it is assumed that f = b(t)X(t) + c(t)Z(t) with b(t), c(t) ≦ 0. Here X(t) denotes the survivors in a linear birth and death process and Z(t) the number of deaths until time t. The joint distribution of XT and ZT, the respective numbers of vegetative and mature bacteriophages at the burst time is considered. The distribution of ZT is then fitted to some observed data of Delbrück [2].

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Bartlett, M. S. (1961) Equations for stochastic path integrals. Proc. Camb. Phil. Soc. 57, 568–73.CrossRefGoogle Scholar
[2] Delbrück, M. (1954) The burst size distribution in the growth of bacterial viruses (bacteriophages). J. Bacteriology 50, 131135.CrossRefGoogle Scholar
[3] Delbrück, M. and Luria, S. E. (1942) Interference between bacterial viruses. Arch. Biochem. 1, 111141.Google Scholar
[4] Gani, J. (1962) An approximate stochastic model for phage reproduction in a bacterium. J. Aust. Math. Soc. 2, 478483.Google Scholar
[5] Gani, J. (1965) Stochastic models for bacteriophage. J. Appl. Prob. 2, 225268.Google Scholar
[6] Gani, J. and Yeo, G. F. (1965) Some birth-death and mutation models for phage reproduction. J. Appl. Prob. 2, 150161.Google Scholar
[7] Kendall, D. G. (1948) On the generalized “Birth and Death” process. Ann. Math. Statist. 19, 115.Google Scholar
[8] Kimball, A. W. (1965) A model for chemical mutagenesis in bacteriophage. Biometrics 21, 875889.CrossRefGoogle Scholar
[9] Ohlsen, S. (1963) Further models for phage reproduction in a bacterium. Biometrics 19, 441449.Google Scholar
[10] Puri, P. S. (1966) On the homogeneous birth-and-death process and its integral. Biometrika 53, 6171.Google Scholar
[11] Puri, P. S. (1968) Some further results on the birth-and-death process and its integral. Proc. Camb. Phil. Soc. 64, 141154.Google Scholar
[12] Puri, P. S. (1969) Some limit theorems on branching processes and certain related processes. Sankhya 31, 5774.Google Scholar
[13] Puri, P. S. (1968) Interconnected birth and death processes. J. Appl. Prob. 5, 334349.Google Scholar
[14] Puri, P. S. (1967) A class of stochastic models of response after infection in the absence of defense mechanism. Proc. 5th Berkeley Symp. Math. Stat. Prob. 4, 511535.Google Scholar
[15] Steinberg, C. and Stahl, F. (1961) The clone size distribution of mutants arising from a steady-state pool of vegetative phage. J. Theoret. Biol. 1, 488497.Google Scholar
[16] Wood, W. B. (1967) Gene action in the control of bacteriophage T4 morphogenesis. California Inst. Tech. (unpublished).Google Scholar