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Sources and sinks: A stochastic model of evolution in heterogeneous environments.
Open accessAbstract
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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“[60].”
Metadata
- Authors
- Hermsen, R., & Hwa, T.
- Affiliations
- University of California San Diego (US)
- ORCID
- Hermsen, Rutger
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2010-12-08
- Volume
- 105
- Issue
- 24
- Pages
- 248104-248104
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- PMC
- PMC4038430
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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