1887

Abstract

SUMMARY: The generation times of four species of organisms have been measured, each under several sets of conditions: and Minor variations in the experimental conditions appear to affect the mean generation time less in large samples than in small. This can be explained as a result of association between the generation times of closely related organisms. Positive correlation between the generation times of sisters, cousins and perhaps second cousins shows that the influence of an ancestor is felt through two or three generations. The observed correlation between mothers and daughters is usually small, probably because of bias due to the interval between fission of cytoplasm and fission of cell wall. The coefficient of variation of generation time is not a constant for the species but it is stable under given circumstances. It is possibly related systematically to the chemical complexity of the growth medium. In unhampered growth, less than 1 % of the organisms produced are non-viable. There is positive association between the viabilities of sisters, and between the viability of an organism and the generation time of its mother. The distribution of generation times can be represented by a Pearson Type III or else a Pearson Type V distribution; both are convenient in applications.

The generation time of an individual is considered to be determined partly by molecular accidents, partly by heredity.

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/content/journal/micro/10.1099/00221287-18-2-382
1958-04-01
2022-11-28
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References

  1. Bisset K. A. 1955 The Cytology and Life-History of Bacteria, 2nd ed. Edinburgh: E. and S. Livingstone;
    [Google Scholar]
  2. Box G. E. P. 1953; Non-normality and tests on variances. Biometrika 40:318
    [Google Scholar]
  3. Dagley S., Hinshelwood C. N. 1938; Physio-chemical aspects of bacterial growth.Part I. Dependence of growth of Bact. lactis aerogenes on concentration of medium. J. chem. Soc. 1930
    [Google Scholar]
  4. Eddy A. A. 1953a; Death rate of populations of Bact. lactisaerogenes. II. Environmental and other factors influencing the form of the survival curve. Proc. Roy. Soc. B 141:126
    [Google Scholar]
  5. Eddy A. A. 1953b; Death rate of populations of Bact. lactisaerogenes. III. Interpretation of survival curves. Proc. Roy. Soc. B 141:137
    [Google Scholar]
  6. Eddy A. A., Hinshelwood C. N. 1953; Death-rate of population of Bact. lactisaerogenes. I. Active adjustment of cells to adverse environments. Proc. Roy. Soc. B 141:118
    [Google Scholar]
  7. Feller W. 1950 Probability Theory and Its Applications New York: John Wiley and Sons;
    [Google Scholar]
  8. Haldane J. B. S. 1954 The Biochemistry of Genetics London: Allen and Unwin Ltd;
    [Google Scholar]
  9. Harris N. K., Powell E. O. 1951; A culture chamber for the microscopical study of living bacteria, with some observations on the spore-bearing aerobes. J. R. micr. Soc 71:407
    [Google Scholar]
  10. Heinmets F., Taylor W. W., Lehman J. J. 1954; The use of metabolites in the restoration of the viability of heat and chemically-inactivated Escherichia coli. J. Bact 67:5
    [Google Scholar]
  11. Herbert D., Pinsent J. 1948; Crystalline bacterial catalase. Biochem. J 43:193
    [Google Scholar]
  12. Hughes W. H. 1955a; The differences in antibiotic sensitivity of closely related single cells of Proteus Vulgaris. J. gen. Microbiol 12:269
    [Google Scholar]
  13. Hughes W. H. 1955b; The inheritance of differences in growth rate in Escherichia Coli. J. gen. Microbiol 12:265
    [Google Scholar]
  14. Jensen A. 1954 A Distribution Model Copenhagen: Munksgaard;
    [Google Scholar]
  15. Kelly C. D., Rahn O. 1932; The growth rate of individual bacterial cells. J. Bact 23:147
    [Google Scholar]
  16. Kendall D. G. 1948; On the role of a variable generation time in the development of a stochastic birth process. Biometrika 35:316
    [Google Scholar]
  17. Kendall D. G. 1952; On the choice of a mathematical model to represent normal bacterial growth. J. R. statist. Soc. B 14:41
    [Google Scholar]
  18. Langer S. K. 1953 Feeling and Form London: Routledge and Kegan Paul;
    [Google Scholar]
  19. Monod J. 1950; La technique de culture continue, théorieet applications. Ann. Inst. Pasteur 79:390
    [Google Scholar]
  20. National Bureau Of Standards 1949 Tables of the Binomial Probability Distribution Washington, D.C: U.S. Government Printing Office;
    [Google Scholar]
  21. Pearson E. S., Hartley H. O. 1954 Biometrika Tables for Statisticians I Cambridge University Press;
    [Google Scholar]
  22. Powell E. O. 1955; Some features of the generation times of individual bacteria. Biometrika 42:16
    [Google Scholar]
  23. Powell E. O. 1956a; An improved culture chamber for the study of living bacteria. J. R. micr. Soc 75:235
    [Google Scholar]
  24. Powell E. O. 1956b; A rapid method for determining the proportion of viable bacteria in a culture. J. gen. Microbiol 14:153
    [Google Scholar]
  25. Powell E. O. 1956c; Growth rate and generation time of bacteria, with special reference to continuous culture. J. gen. Microbiol 15:492
    [Google Scholar]
  26. Rahn O. 1932; A chemical explanation of the variability of the growth rate. J. gen. Physiol 15:257
    [Google Scholar]
  27. Rogers H. J. 1953; Variant populations within a hyaluronidase-producing culture of Staphylococcus aureus. J. Path. Bact 66:545
    [Google Scholar]
  28. Tomcsik J., Grace J. B. 1955; Bacterial cell walls as revealed by the specific cell-wall reaction and by direct staining with Alcian Blue. J. gen. Microbiol 13:105
    [Google Scholar]
  29. Topley and Wilson’s Principles of Bacteriology and Immunity 1955, 4th edition. Wilson G. S., Miles A. A. revised by London: Edward Arnold;
  30. Valentine R. C., Bradfield J. R. G. 1954; The urea method for bacterial viability counts with the electron microscope and its relation to other viability counting methods. J. gen. Microbiol 11:349
    [Google Scholar]
  31. Watson G. N. 1952 the Theory of Bessel Functions, 2nd ed. Cambridge University Press;
    [Google Scholar]
  32. Wilson G. S. 1922; The proportion of viable bacteria in young cultures with especial reference to the technique employed in counting. J. Bact 7:405
    [Google Scholar]
  33. Yule G. U. 1912; On the methods of measuring the association between two attributes. J. R. statist. Soc 75:579
    [Google Scholar]
  34. Yule G. U. 1925; A mathematical theory of evolution, based on the conclusions of Dr J. C. Willis, F.R.S. Phil. Trans B 213:21
    [Google Scholar]
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