Abstract
The consequences of background-level radiation often provoke debates, and here statistical ideas and their mathematical basis are considered in view of adaptation processes. Statistical modelling presents the data of investigations in the form of frequency function of events occurrence that allows studying the laws and regularities of respective probability processes. It is qualified to investigate the processes induced by the low factors and accompanied by Darwinian selection in different systems. Three themes are discussed: (1) A geometric model of adaptation, (2) Research of the biological communities’ structure, and (3) A statistical view of the cytogenetic investigations of instabilities. The first and second topics present development of statistical ideas on live systems under environmental conditions. The last part is devoted to models of appearance of cells with abnormalities, chromosomal abnormalities in cells, proliferated cells and interrelation between the distributions on the number and frequency of abnormalities. We can assume that a strong factor leads to the same laws of regulated abundance of the communities of species and cell population.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The full paper is published in (Florko and Korogodina 2007).
- 2.
- 3.
We suggested that the probability of the appearance of late damage in the non-damaged target due to induction by two or more damages is small.
- 4.
A.N. Kolmogorov studied the lognormal distribution of particle sizes under fragmentation. This process has to fulfill the condition that the sum of the fragment sizes does not exceed the whole particle size. This condition is fulfilled for any processes of reproduction in nature, as for cells, and for any live species.
- 5.
It is appropriate here to refer to F.W. Preston, who introduced a lognormal distribution into biology (Preston 1948, 1962). He described a distribution of the species in the natural community on their numbers by the lognormal law. The comparison inevitably comes to mind between the numbers of cells in sprout meristem and the numbers of species in the community. Maximal numbers of plants and species correspond to the fitness conditions for propagation of each of these objects.
- 6.
Earlier, we considered not the binomial, but the Poisson law of the appearance of CCAs (Florko and Korogodina 2007; Korogodina and Florko 2007). The Poisson law corresponds to the case of a great number of PCs, among which a rare number of CCAs (k) appeared. The binomial law describes the case, when the number of PCs (n) is low. Poisson (n is great) and Gauss (n, k are great) laws can be obtained by the limiting process from the binomial law (Feller 1957).
- 7.
- 8.
References
Antonova E, Osipova LP, Florko BV et al (2008) The comparison of distributions of individuals with normally and poorly stimulated blood cell activity on the frequency of aberrant cells’ occurrence in blood lymphocytes. Rep Russ Mil-Med Acad 1(3):73 (Russian)
Arutyunyan R, Neubauer S, Martus P et al (2001) Intercellular distributions of aberrations detected by means of chromosomal painting in cells of patients with cancer prone chromosome instability syndromes. Exp Oncol 23:23–28 (Russian)
Bochkov NP, Chebotarev NA (1989) Human heredity of mutagens of environment. Medicina, Moscow
Bochkov NP, Yakovenko KN, Chebotarev AN et al (1972) Distribution of the damaged chromosomes on human cells under chemical mutagens effects in vitro and in vivo. Genetika 8:160–167 (Russian)
Bridges BA (1997) DNA turnover and mutation in resting cells. Bioessays 19(4):347–352
Chebotarev AN (2000) A mathematical model of origin of multi-aberrant cell during spontaneous mutagenesis. Rep RAS 371:207–209 (Russian)
Condit R, Hubbell SP, La Frankie JV et al (1996) Species–area and species–individual relationships for tropical trees: a comparison of three 50-ha plots. J Ecol 84:549–562
Feller W (1957) An introduction to probability theory and its applications. Wiley/Chapman & Hall, Limited, London/New York
Fisher RA (1930) The genetical theory of natural selection. Oxford University Press, Oxford
Fisher RA, Corbet AS, Williams CB (1943) The relation between the number of species and the number of individuals in a random sample of an animal population. J Anim Ecol 12:42–58
Florko BV, Korogodina VL (2007) Analysis of the distribution structure as exemplified by one cytogenetic problem. PEPAN Lett 4:331–338
Florko BV, Osipova LP, Korogodina VL (2009) On some features of forming and analysis of distributions of individuals on the number and frequency of aberrant cells among blood lymphocytes. Math Biol Bioinform 4:52–65, Russian
Gillespie JH (1983) A simple stochastic gene substitution model. Theor Popul Biol 23:202–215
Gillespie JH (1984) Molecular evolution over the mutational landscape. Evolution 38:1116–1129
Gnedenko BV (1965) The course of probability theory. Nauka, Moscow (Russian)
Harris TE (2002) The theory of branching processes. Courier Dover Publications, New York
van Kampen NG (2007) Stochastic processes in physics and chemistry. Elsevier, Amsterdam
Kimura M (1983) The neutral theory of molecular evolution. Cambridge University Press, Cambridge
Klauder J, Sudarshan E (1968) Fundamentals of quantum optics. Benjamin, New York
Kolmogorov AN (1986) About the log-normal distribution of particle sizes under fragmentation. In: The probabilities theory and mathematical statistics. Nauka, Moscow (Russian)
Korogodina VL, Florko BV (2007) Evolution processes in populations of plantain, growing around the radiation sources: changes in plant genotypes resulting from bystander effects and chromosomal instability. In: Mothersill C, Seymour C, Mosse IB (eds) A challenge for the future. Springer, Dordrecht, pp 155–170
Korogodina VL, Florko BV, Osipova LP (2010a) Adaptation and radiation-induced chromosomal instability studied by statistical modeling. Open Evol J 4:12–22
Korogodina VL, Florko BV, Osipova LP et al (2010b) The adaptation processes and risks of chromosomal instability in populations. Biosphere 2:178–185 (Russian)
Korogodina VL, Panteleeva A, Ganicheva I et al (1998) Influence of dose rate gamma-irradiation on mitosis and adaptive response of pea seedlings’ cells. Radiat Biol Radioecol 38:643–649 (Russian)
Kosarev EL (2008) Methods of the experimental data processing. Physmatlit, Moscow (Russian)
Lea DE (1946) Action of radiations on living cells. Cambridge University Press, Cambridge
Lorimore SA, Wright EG (2003) Radiation-induced genomic instability and bystander effects: related inflammatory-type responses to radiation-induced stress and injury? A review. Int J Radiat Biol 79:15–25
Luchnik NV (1958) Influence of low-dose irradiation on mitosis of pea. Bull MOIP Ural Department 1:37–49 (Russian)
Luchnik NV (1968) Biophysics of the cytogenetic damages and genetic code. Medicina, Leningrad
McGill BJ, Etienne RS, Gray JS et al (2007) Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework. Ecol Lett 10:995–1015
Morgan WF (2003) Non-targeted and delayed effects of exposure to ionizing radiation. II. Radiation-induced genomic instability and bystander effects in vivo, clastogenic factors and transgenerational effects. Radiat Res 159:581–596
Motomura I (1932) A statistical treatment of associations. Jpn J Zool 44:379–383 (Japanese)
Orr HA (1998) The population genetics of adaptation: the distribution of factors fixed during adaptive evolution. Evolution 52:935–949
Orr HA (1999) The evolutionary genetics of adaptation: a simulation study. Genet Res 74:207–214
Orr HA (2005a) The genetic theory of adaptation: a brief history. Nat Rev Genet 6:119–127
Orr HA (2005b) Theories of adaptation: what they do and don’t say. Genetica 123(1–2):3–13
Orr HA (2006) The distribution of fitness effects among beneficial mutations in Fisher's geometric model of adaptation. J Theor Biol 238:279–285
Preston FW (1948) The commonness and rarity of species. Ecology 29:254–283
Preston FW (1962) The canonical distribution of commonness and rarity. Part I. Ecology 43:185–215
Reed WJ, Hughes BD (2002) From gene families and genera to incomes and internet file sizes: Why power laws are so common in nature. Phys Rev E 66:67–103, Article number 067103
Robbins CS, Bystrak D, Geissler PH (1986) The breeding bird survey: its first fifteen years, 1965–1979. US Department of the Interior Fish and Wildlife Service, Washington, DC
Vasiliev AG, Boev VM, Gileva EA et al (1997) Ecogenetic analysis of late consequences of the Totskij nuclear explosion in Orenburg region in 1954 (facts, models, hypotheses). Ekaterinburg, Ekaterinburg
Whittaker RH (1960) Vegetation of the Siskiyou mountains, Oregon and California. Ecol Monogr 30:279–338
Whittaker RH (1965) Dominance and diversity in land plant communities. Science 147:250–260
Winemiller KO (1990) Spatial and temporal variation in tropical fish trophic networks. Ecol Monogr 60:331–367
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Korogodina, V.L., Florko, B.V., Osipova, L.P. (2013). Excursus on Statistical Modelling for Population Biology. Statistical Solution of Some Radiobiological Tasks. In: Radiation-Induced Processes of Adaptation. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6630-3_3
Download citation
DOI: https://doi.org/10.1007/978-94-007-6630-3_3
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6629-7
Online ISBN: 978-94-007-6630-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)