Literature DB >> 23209173

Evolutionary rescue beyond the models.

Richard Gomulkiewicz1, Ruth G Shaw.   

Abstract

Laboratory model systems and mathematical models have shed considerable light on the fundamental properties and processes of evolutionary rescue. But it remains to determine the extent to which these model-based findings can help biologists predict when evolution will fail or succeed in rescuing natural populations that are facing novel conditions that threaten their persistence. In this article, we present a prospectus for transferring our basic understanding of evolutionary rescue to wild and other non-laboratory populations. Current experimental and theoretical results emphasize how the interplay between inheritance processes and absolute fitness in changed environments drive population dynamics and determine prospects of extinction. We discuss the challenge of inferring these elements of the evolutionary rescue process in field and natural settings. Addressing this challenge will contribute to a more comprehensive understanding of population persistence that combines processes of evolutionary rescue with developmental and ecological mechanisms.

Mesh:

Year:  2013        PMID: 23209173      PMCID: PMC3538458          DOI: 10.1098/rstb.2012.0093

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  44 in total

1.  Genetic and demographic parameters determining population persistence after a discrete change in the environment.

Authors:  E G Boulding; T Hay
Journal:  Heredity (Edinb)       Date:  2001-03       Impact factor: 3.821

2.  The phenomenology of niche evolution via quantitative traits in a 'black-hole' sink.

Authors:  R D Holt; R Gomulkiewicz; M Barfield
Journal:  Proc Biol Sci       Date:  2003-01-22       Impact factor: 5.349

3.  Evolutionary potential of Chamaecrista fasciculata in relation to climate change. II. Genetic architecture of three populations reciprocally planted along an environmental gradient in the great plains.

Authors:  Julie R Etterson
Journal:  Evolution       Date:  2004-07       Impact factor: 3.694

4.  Evolutionary potential of Chamaecrista fasciculata in relation to climate change. I. Clinal patterns of selection along an environmental gradient in the great plains.

Authors:  Julie R Etterson
Journal:  Evolution       Date:  2004-07       Impact factor: 3.694

5.  The Croonian Lecture, 1991. Genostasis and the limits to evolution.

Authors:  A D Bradshaw
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1991-08-29       Impact factor: 6.237

6.  Rapid evolution of flowering time by an annual plant in response to a climate fluctuation.

Authors:  Steven J Franks; Sheina Sim; Arthur E Weis
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-12       Impact factor: 11.205

7.  The evolution of species' distributions: reciprocal transplants across the elevation ranges of Mimulus cardinalis and M. lewisii.

Authors:  A L Angert; D W Schemske
Journal:  Evolution       Date:  2005-08       Impact factor: 3.694

8.  Demography of central and marginal populations of monkeyflowers (Mimulus cardinalis and M. lewisii).

Authors:  Amy Lauren Angert
Journal:  Ecology       Date:  2006-08       Impact factor: 5.499

9.  Temporal variation can facilitate niche evolution in harsh sink environments.

Authors:  Robert D Holt
Journal:  Am Nat       Date:  2004-07-01       Impact factor: 3.926

10.  The role of evolution in the emergence of infectious diseases.

Authors:  Rustom Antia; Roland R Regoes; Jacob C Koella; Carl T Bergstrom
Journal:  Nature       Date:  2003-12-11       Impact factor: 49.962

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  21 in total

1.  Reply to Wootton and Pfister: The search for general context should include synthesis with laboratory model systems.

Authors:  Ruth A Hufbauer; Marianna Szűcs; Emily Kasyon; Courtney Youngberg; Michael J Koontz; Christopher Richards; Ty Tuff; Brett A Melbourne
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

2.  Natural selection on floral morphology can be influenced by climate.

Authors:  Diane R Campbell; John M Powers
Journal:  Proc Biol Sci       Date:  2015-06-07       Impact factor: 5.349

3.  Evolution caused by extreme events.

Authors:  Peter R Grant; B Rosemary Grant; Raymond B Huey; Marc T J Johnson; Andrew H Knoll; Johanna Schmitt
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

4.  Evolutionary rescue: an emerging focus at the intersection between ecology and evolution.

Authors:  Andrew Gonzalez; Ophélie Ronce; Regis Ferriere; Michael E Hochberg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

Review 5.  Evolutionary rescue in vertebrates: evidence, applications and uncertainty.

Authors:  E Vander Wal; D Garant; M Festa-Bianchet; F Pelletier
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-19       Impact factor: 6.237

6.  Demographic compensation does not rescue populations at a trailing range edge.

Authors:  Seema Nayan Sheth; Amy Lauren Angert
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-20       Impact factor: 11.205

7.  A method to predict the response to directional selection using a Kalman filter.

Authors:  Lisandro Milocco; Isaac Salazar-Ciudad
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-06       Impact factor: 12.779

8.  Evolution of plasticity prevents postinvasion extinction of a native forb.

Authors:  Petr Dostál
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

9.  Rapid evolution of quantitative traits: theoretical perspectives.

Authors:  Michael Kopp; Sebastian Matuszewski
Journal:  Evol Appl       Date:  2013-12-06       Impact factor: 5.183

Review 10.  Evolutionary rescue: linking theory for conservation and medicine.

Authors:  Helen K Alexander; Guillaume Martin; Oliver Y Martin; Sebastian Bonhoeffer
Journal:  Evol Appl       Date:  2014-10-15       Impact factor: 5.183

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