IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v102y2015icp26-39.html
   My bibliography  Save this article

Survival probabilities at spherical frontiers

Author

Listed:
  • Lavrentovich, Maxim O.
  • Nelson, David R.

Abstract

Motivated by tumor growth and spatial population genetics, we study the interplay between evolutionary and spatial dynamics at the surfaces of three-dimensional, spherical range expansions. We consider range expansion radii that grow with an arbitrary power-law in time: R(t)=R0(1+t/t∗)Θ, where Θ is a growth exponent, R0 is the initial radius, and t∗ is a characteristic time for the growth, to be affected by the inflating geometry. We vary the parameters t∗ and Θ to capture a variety of possible growth regimes. Guided by recent results for two-dimensional inflating range expansions, we identify key dimensionless parameters that describe the survival probability of a mutant cell with a small selective advantage arising at the population frontier. Using analytical techniques, we calculate this probability for arbitrary Θ. We compare our results to simulations of linearly inflating expansions (Θ=1 spherical Fisher–Kolmogorov–Petrovsky–Piscunov waves) and treadmilling populations (Θ=0, with cells in the interior removed by apoptosis or a similar process). We find that mutations at linearly inflating fronts have survival probabilities enhanced by factors of 100 or more relative to mutations at treadmilling population frontiers. We also discuss the special properties of “marginally inflating†(Θ=1/2) expansions.

Suggested Citation

  • Lavrentovich, Maxim O. & Nelson, David R., 2015. "Survival probabilities at spherical frontiers," Theoretical Population Biology, Elsevier, vol. 102(C), pages 26-39.
  • Handle: RePEc:eee:thpobi:v:102:y:2015:i:c:p:26-39
    DOI: 10.1016/j.tpb.2015.03.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580915000210
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2015.03.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Doering, Charles R. & Mueller, Carl & Smereka, Peter, 2003. "Interacting particles, the stochastic Fisher–Kolmogorov–Petrovsky–Piscounov equation, and duality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(1), pages 243-259.
    2. Andriy Marusyk & Doris P. Tabassum & Philipp M. Altrock & Vanessa Almendro & Franziska Michor & Kornelia Polyak, 2014. "Non-cell-autonomous driving of tumour growth supports sub-clonal heterogeneity," Nature, Nature, vol. 514(7520), pages 54-58, October.
    3. Pigolotti, S. & Benzi, R. & Perlekar, P. & Jensen, M.H. & Toschi, F. & Nelson, D.R., 2013. "Growth, competition and cooperation in spatial population genetics," Theoretical Population Biology, Elsevier, vol. 84(C), pages 72-86.
    4. Adnan Ali & Stefan Grosskinsky, 2010. "Pattern Formation Through Genetic Drift At Expanding Population Fronts," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 349-366.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bryan T Weinstein & Maxim O Lavrentovich & Wolfram Möbius & Andrew W Murray & David R Nelson, 2017. "Genetic drift and selection in many-allele range expansions," PLOS Computational Biology, Public Library of Science, vol. 13(12), pages 1-31, December.
    2. Bryant, Adam S. & Lavrentovich, Maxim O., 2022. "Survival in branching cellular populations," Theoretical Population Biology, Elsevier, vol. 144(C), pages 13-23.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bryant, Adam S. & Lavrentovich, Maxim O., 2022. "Survival in branching cellular populations," Theoretical Population Biology, Elsevier, vol. 144(C), pages 13-23.
    2. Hallatschek, Oskar & Nelson, David R., 2008. "Gene surfing in expanding populations," Theoretical Population Biology, Elsevier, vol. 73(1), pages 158-170.
    3. Pigolotti, S. & Benzi, R. & Perlekar, P. & Jensen, M.H. & Toschi, F. & Nelson, D.R., 2013. "Growth, competition and cooperation in spatial population genetics," Theoretical Population Biology, Elsevier, vol. 84(C), pages 72-86.
    4. Feng, Zhaosheng & Li, Yang, 2006. "Complex traveling wave solutions to the Fisher equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 115-123.
    5. Bernardo P de Almeida & André F Vieira & Joana Paredes & Mónica Bettencourt-Dias & Nuno L Barbosa-Morais, 2019. "Pan-cancer association of a centrosome amplification gene expression signature with genomic alterations and clinical outcome," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-31, March.
    6. Ohtsuki, Hisashi & Innan, Hideki, 2017. "Forward and backward evolutionary processes and allele frequency spectrum in a cancer cell population," Theoretical Population Biology, Elsevier, vol. 117(C), pages 43-50.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:102:y:2015:i:c:p:26-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.