Abstract
In this note we discuss the following topics:
-
1.
Epigenetics: How to alter your genes? This is evolution within a lifetime. Epigenetics is a relatively new scientific field; research only began in the mid nineties, and has only found traction in the wider scientific community in the last decade or so. We have long been told our genes are our destiny. But it is now thought a genotype’s expression (that is, its phenotype), can change during its lifetime by habit, lifestyle, even finances. What does this mean for our children? So we consider phenotype change:
-
(a)
firstly in a stochastic setting, where we consider the expected value of the mean fitness;
-
(b)
then we consider a Plastic Adaptive Response (PAR) in which the response to an environmental cue is initiated after a period of waiting;
-
(c)
finally, we consider the steady-fitness states, when the phenotype is modelled on a continuous scale providing a structured variable to quantify the phenotype state.
-
(a)
-
2.
Consider the steady-size distribution of an evolving cohort of cells and therein establish thresholds for growth or decay of the cohort.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. Korobeinikov and C. Dempsey, “A continuous phenotype space model of RNA virus evolution within a host”. Mathematical Biosciences and Engineering, 11 (2014), 919–927.
K. Nishimura, “Inducible plasticity: Optimal waiting time for the development of an inducible phenotype”. Evolutionary Ecology Research 8 (2006), 553–559.
H.G. Spencer, A.B. Pleasants, P.D. Gluckman, and G.C. Wake, “A model of optimal development time for a plastic response”. Preprint.
G. Wake, A. Pleasants, A. Beedle, and P. Gluckman, “A model for phenotype change in a phenotype change in a stochastic framework”. Mathematical Biosciences and Engineering 7 (2010), 719–728.
G. Wake, A. Zaidi, and B. van-Brunt, “Tumour cell biology and some new non-local calculus”, in “The Impact of Applications on Mathematics”, Proceedings of Forum Math-for-Industry 2013, Springer, (2014).
A.A. Zaidi, B. Van Brunt, and G.C. Wake, “A model for asymmetrical cell division”. Math. Biosci. Eng. 12(3) (2015), 491–501. doi:10.3934/mbe.2015.12.491.
Acknowledgements
The support of Gravida (NCGD) is gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Wake, G. (2015). Models of Developmental Plasticity and Cell Growth. In: Corbera, M., Cors, J., Llibre, J., Korobeinikov, A. (eds) Extended Abstracts Spring 2014. Trends in Mathematics(), vol 4. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-22129-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-22129-8_27
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-319-22128-1
Online ISBN: 978-3-319-22129-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)