English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Stochastic population dynamics driven by mutant interactors

Park, H. J., Pichugin, Y., Huang, W., & Traulsen, A. (2018). Stochastic population dynamics driven by mutant interactors. bioRxiv. doi:10.1101/397810.

Item is

Files

show Files
hide Files
:
397810.full.pdf (Preprint), 2MB
Name:
397810.full.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show
hide
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Park, Hye Jin1, Author           
Pichugin, Yuriy1, Author           
Huang, Weini1, Author           
Traulsen, Arne1, Author           
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

Content

show
hide
Free keywords: -
 Abstract: Spontaneous random mutations are an important source of variation in populations. Many evolutionary models consider mutants with a fixed fitness chosen from a certain fitness distribution without considering any interactions among the residents and mutants. Here, we go beyond this and consider “mutant interactors”, which lead to new interactions between the residents and invading mutants that can affect the carrying capacity and the extinction risk of populations. We model microscopic interactions between individuals by using a dynamical payoff matrix and analyze the stochastic dynamics of such populations. New interactions drawn from invading mutants can drive the population away from the previous equilibrium, and lead to changes in the population size — the population size is an evolving property rather than a fixed number or externally controlled variable. We present analytical results for the average population size over time and quantify the extinction risk of the population by the mean time to extinction.

Details

show
hide
Language(s): eng - English
 Dates: 2018-08-222018-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1101/397810
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: bioRxiv
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -