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Cited by 66Evolution and Genetic DynamicsMathematical and Theoretical Epidemiology and Ecology ModelsStochastic processes and statistical mechanics

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Sources and sinks: A stochastic model of evolution in heterogeneous environments.

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Hermsen, Rutger, Hwa, Terence·2010·Physical Review Letters

Abstract

We study evolution driven by spatial heterogeneity in a stochastic model of source-sink ecologies. A sink is a habitat where mortality exceeds reproduction so that a local population persists only due to immigration from a source. Immigrants can, however, adapt to conditions in the sink by mutation. To characterize the adaptation rate, we derive expressions for the first arrival time of adapted mutants. The joint effects of migration, mutation, birth, and death result in two distinct parameter regimes. These results may pertain to the rapid evolution of drug-resistant pathogens and insects.

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Crossref · 10.1103/physrevlett.105.248104

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Research works printed but not linked: 1

  1. S. Wright, 1932, Proceedings of the Sixth International Congress on Genetics

Cited by

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Metadata

Authors
Hermsen, R., & Hwa, T.
Affiliations
University of California San Diego (US)
Venue
Physical Review Letters
Published
2010-12-08
Volume
105
Issue
24
Pages
248104-248104
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2009644537
Cited by
66
References
31
Citations by year
2026: 3 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 7 · 2018: 3 · 2017: 2 · 2016: 2 · 2015: 7 · 2014: 5 · 2013: 7 · 2012: 8
FWCI
3.77
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of General Medical Sciences (R01GM095903)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
  • Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
Keywords
source-sink dynamics, spatial heterogeneity, stochastic population models, speed of adjustment, first arrival time, genetic mutations, migration, immigration, drug resistance evolution, rapid evolution, parameter regimes
MeSH terms
Animals, Environment, Biological Evolution, Models, Biological, Stochastic Processes, Time Factors

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