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Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies

Dispersal is the main determinant of the dynamics and persistence of predator–prey metapopulations. When defining dispersal as a predator exploitation strategy, theory predicts the existence of a continuum of strategies: from some dispersal throughout the predator–prey interaction (the Milker strate...

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Autores principales: Revynthi, Alexandra M., Verkleij, Dirk, Janssen, Arne, Egas, Martijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939366/
https://www.ncbi.nlm.nih.gov/pubmed/35356587
http://dx.doi.org/10.1002/ece3.8760
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author Revynthi, Alexandra M.
Verkleij, Dirk
Janssen, Arne
Egas, Martijn
author_facet Revynthi, Alexandra M.
Verkleij, Dirk
Janssen, Arne
Egas, Martijn
author_sort Revynthi, Alexandra M.
collection PubMed
description Dispersal is the main determinant of the dynamics and persistence of predator–prey metapopulations. When defining dispersal as a predator exploitation strategy, theory predicts the existence of a continuum of strategies: from some dispersal throughout the predator–prey interaction (the Milker strategy) to dispersal only after the prey had been exterminated (the Killer strategy). These dispersal strategies relate to differences in prey exploitation at the population level, with more dispersal leading to longer predator–prey interaction times and higher cumulative numbers of dispersing predators. In the predatory mite Phytoseiulus persimilis, empirical studies have shown genetic variation for prey exploitation as well as for the timing of aerial dispersal in the presence of prey. Here, we test whether artificial selection for lines that differ in timing of dispersal also results in these lines differing in prey exploitation. Six rounds of selection for early or late dispersal resulted in predator lines displaying earlier or later dispersal. Moreover, it resulted—at the population level—in predicted differences in the local predator–prey interaction time and in the cumulative numbers of dispersers in a population dynamics experiment. We pose that timing of dispersal is a heritable trait that can be selected in P. persimilis, which results in lines that show quantitative differences in local predator–prey dynamics. This opens ways to experimentally investigate the evolution of alternative prey exploitation strategies and to select for predator strains with prey exploitation strategies resulting in better biological control.
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spelling pubmed-89393662022-03-29 Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies Revynthi, Alexandra M. Verkleij, Dirk Janssen, Arne Egas, Martijn Ecol Evol Research Articles Dispersal is the main determinant of the dynamics and persistence of predator–prey metapopulations. When defining dispersal as a predator exploitation strategy, theory predicts the existence of a continuum of strategies: from some dispersal throughout the predator–prey interaction (the Milker strategy) to dispersal only after the prey had been exterminated (the Killer strategy). These dispersal strategies relate to differences in prey exploitation at the population level, with more dispersal leading to longer predator–prey interaction times and higher cumulative numbers of dispersing predators. In the predatory mite Phytoseiulus persimilis, empirical studies have shown genetic variation for prey exploitation as well as for the timing of aerial dispersal in the presence of prey. Here, we test whether artificial selection for lines that differ in timing of dispersal also results in these lines differing in prey exploitation. Six rounds of selection for early or late dispersal resulted in predator lines displaying earlier or later dispersal. Moreover, it resulted—at the population level—in predicted differences in the local predator–prey interaction time and in the cumulative numbers of dispersers in a population dynamics experiment. We pose that timing of dispersal is a heritable trait that can be selected in P. persimilis, which results in lines that show quantitative differences in local predator–prey dynamics. This opens ways to experimentally investigate the evolution of alternative prey exploitation strategies and to select for predator strains with prey exploitation strategies resulting in better biological control. John Wiley and Sons Inc. 2022-03-22 /pmc/articles/PMC8939366/ /pubmed/35356587 http://dx.doi.org/10.1002/ece3.8760 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Revynthi, Alexandra M.
Verkleij, Dirk
Janssen, Arne
Egas, Martijn
Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title_full Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title_fullStr Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title_full_unstemmed Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title_short Artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
title_sort artificial selection for timing of dispersal in predatory mites yields lines that differ in prey exploitation strategies
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939366/
https://www.ncbi.nlm.nih.gov/pubmed/35356587
http://dx.doi.org/10.1002/ece3.8760
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