Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation

Abstract A major challenge in evolutionary biology is explaining how populations navigate rugged fitness landscapes without getting trapped on local optima. One idea illustrated by adaptive dynamics theory is that as populations adapt, their newly enhanced capacities to exploit resources alter fitne...

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Main Authors: Michael B. Doud, Animesh Gupta, Victor Li, Sarah J. Medina, Caesar A. De La Fuente, Justin R. Meyer
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-45008-5
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author Michael B. Doud
Animesh Gupta
Victor Li
Sarah J. Medina
Caesar A. De La Fuente
Justin R. Meyer
author_facet Michael B. Doud
Animesh Gupta
Victor Li
Sarah J. Medina
Caesar A. De La Fuente
Justin R. Meyer
author_sort Michael B. Doud
collection DOAJ
description Abstract A major challenge in evolutionary biology is explaining how populations navigate rugged fitness landscapes without getting trapped on local optima. One idea illustrated by adaptive dynamics theory is that as populations adapt, their newly enhanced capacities to exploit resources alter fitness payoffs and restructure the landscape in ways that promote speciation by opening new adaptive pathways. While there have been indirect tests of this theory, to our knowledge none have measured how fitness landscapes deform during adaptation, or test whether these shifts promote diversification. Here, we achieve this by studying bacteriophage $$\lambda$$ λ , a virus that readily speciates into co-existing receptor specialists under controlled laboratory conditions. We use a high-throughput gene editing-phenotyping technology to measure $$\lambda$$ λ ’s fitness landscape in the presence of different evolved- $$\lambda$$ λ competitors and find that the fitness effects of individual mutations, and their epistatic interactions, depend on the competitor. Using these empirical data, we simulate $$\lambda$$ λ ’s evolution on an unchanging landscape and one that recapitulates how the landscape deforms during evolution. $$\lambda$$ λ heterogeneity only evolves in the shifting landscape regime. This study provides a test of adaptive dynamics, and, more broadly, shows how fitness landscapes dynamically change during adaptation, potentiating phenomena like speciation by opening new adaptive pathways.
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spelling doaj.art-f05ce5ec0d4d47bea8fccdb8e6850b5b2024-03-05T19:31:50ZengNature PortfolioNature Communications2041-17232024-01-0115111210.1038/s41467-024-45008-5Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciationMichael B. Doud0Animesh Gupta1Victor Li2Sarah J. Medina3Caesar A. De La Fuente4Justin R. Meyer5Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California San DiegoDepartment of Ecology, Behavior and Evolution, University of California San DiegoDepartment of Ecology, Behavior and Evolution, University of California San DiegoDepartment of Ecology, Behavior and Evolution, University of California San DiegoDepartment of Ecology, Behavior and Evolution, University of California San DiegoDepartment of Ecology, Behavior and Evolution, University of California San DiegoAbstract A major challenge in evolutionary biology is explaining how populations navigate rugged fitness landscapes without getting trapped on local optima. One idea illustrated by adaptive dynamics theory is that as populations adapt, their newly enhanced capacities to exploit resources alter fitness payoffs and restructure the landscape in ways that promote speciation by opening new adaptive pathways. While there have been indirect tests of this theory, to our knowledge none have measured how fitness landscapes deform during adaptation, or test whether these shifts promote diversification. Here, we achieve this by studying bacteriophage $$\lambda$$ λ , a virus that readily speciates into co-existing receptor specialists under controlled laboratory conditions. We use a high-throughput gene editing-phenotyping technology to measure $$\lambda$$ λ ’s fitness landscape in the presence of different evolved- $$\lambda$$ λ competitors and find that the fitness effects of individual mutations, and their epistatic interactions, depend on the competitor. Using these empirical data, we simulate $$\lambda$$ λ ’s evolution on an unchanging landscape and one that recapitulates how the landscape deforms during evolution. $$\lambda$$ λ heterogeneity only evolves in the shifting landscape regime. This study provides a test of adaptive dynamics, and, more broadly, shows how fitness landscapes dynamically change during adaptation, potentiating phenomena like speciation by opening new adaptive pathways.https://doi.org/10.1038/s41467-024-45008-5
spellingShingle Michael B. Doud
Animesh Gupta
Victor Li
Sarah J. Medina
Caesar A. De La Fuente
Justin R. Meyer
Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
Nature Communications
title Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
title_full Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
title_fullStr Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
title_full_unstemmed Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
title_short Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda’s fitness landscape and enables speciation
title_sort competition driven eco evolutionary feedback reshapes bacteriophage lambda s fitness landscape and enables speciation
url https://doi.org/10.1038/s41467-024-45008-5
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