Eco-evolutionary dynamics of social dilemmas

Gokhale, Chaitanya S.; Hauert, Christoph

doi:10.1016/j.tpb.2016.05.005

Cited by 67 publications

(59 citation statements)

References 98 publications

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“…This leads to an EEF between population size and morph frequencies via density-and frequency-dependent selection (eco-to-evo) and via fitness differences in the morphs (evoto-eco; reviewed in Smallegange, Rhebergen, Van Gorkum, Vink, & Egas, 2018). Very similar mechanisms have been discussed in the context of the evolution of cooperation (e.g., Gokhale & Hauert, 2016;Lehtonen & Kokko, 2012). For example, ecological conditions, such as resource limitation and variability, may select for the evolution of cooperation (eco-to-evo), which can then feed back on demography leading to increased population sizes ("supersaturation," Fronhofer, Liebig, Mitesser, & Poethke, 2018;Fronhofer, Pasurka, Mitesser, & Poethke, 2011).…”

Section: Feedbacks In Single Populationsmentioning

confidence: 85%

Eco‐evolutionary feedbacks—Theoretical models and perspectives

et al. 2018

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Theoretical models pertaining to feedbacks between ecological and evolutionary processes are prevalent in multiple biological fields. An integrative overview is currently lacking, due to little crosstalk between the fields and the use of different methodological approaches. Here, we review a wide range of models of eco‐evolutionary feedbacks and highlight their underlying assumptions. We discuss models where feedbacks occur both within and between hierarchical levels of ecosystems, including populations, communities and abiotic environments, and consider feedbacks across spatial scales. Identifying the commonalities among feedback models, and the underlying assumptions, helps us better understand the mechanistic basis of eco‐evolutionary feedbacks. Eco‐evolutionary feedbacks can be readily modelled by coupling demographic and evolutionary formalisms. We provide an overview of these approaches and suggest future integrative modelling avenues. Our overview highlights that eco‐evolutionary feedbacks have been incorporated in theoretical work for nearly a century. Yet, this work does not always include the notion of rapid evolution or concurrent ecological and evolutionary time scales. We show the importance of density‐ and frequency‐dependent selection for feedbacks, as well as the importance of dispersal as a central linking trait between ecology and evolution in a spatial context. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.13241/suppinfo is available for this article.

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Section: Feedbacks In Single Populationsmentioning

confidence: 85%

Eco‐evolutionary feedbacks—Theoretical models and perspectives

et al. 2018

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“…Thus, demographical changes in the population occur at a much slower timescale than changes in the environment. As such, the system effectively experiences the average environment with season lengths being the weights of each component [44]. Thus, in the short seasons approximationthe population growth rate is given by the growth rate in the averaged static environment S…”

Section: Limit Regimes Of Dynamic Environmentsmentioning

confidence: 99%

Evolution of simple multicellular life cycles in dynamic environments

Pichugin

Park

Traulsen

2019

J. R. Soc. Interface.

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The mode of reproduction is a critical characteristic of any species, as it has a strong effect on its evolution. As any other trait, the reproduction mode is subject to natural selection and may adapt to the environment. When the environment varies over time, different reproduction modes could be optimal at different times. The natural response to a dynamic environment seems to be bet hedging, where multiple reproductive strategies are stochastically executed. Here, we develop a framework for the evolution of simple multicellular life cycles in a dynamic environment. We use a matrix population model of undifferentiated multicellular groups undergoing fragmentation and ask which mode maximizes the population growth rate. Counterintuitively, we find that natural selection in dynamic environments generally tends to promote deterministic, not stochastic, reproduction modes.

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“…An additional parameter, w is added to our model that modifies the beneficial effect each additional REPIN provides to the host. The following functional form changes the benefit provided by each additional REPIN, where w is the base of the change: [24][25][26],…”

Section: Beneficial Effects Can Lead To Stable Repin Population Sizesmentioning

confidence: 99%

How sequence populations persist inside a genome

Park

Gokhale

Bertels

2020

Preprint

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Compared to their eukaryotic counterparts, bacterial genomes are small and contain extremely tightly packed genes. Therefore, discovering a large number of short repetitive sequences in the genomes of Pseudomonads and Enterobacteria is unexpected. These sequences can independently replicate in the host genome and form populations that persist for millions of years. Here we model the interactions of intragenomic sequence populations with the bacterial host. In a simple model, sequence populations either expand until they drive the host to extinction or the sequence population gets purged from the genome. Including horizontal gene transfer does not change the qualitative outcome of the model and leads to the extinction of the sequence population.However, a sequence population can be stably maintained, if each sequence provides a benefit that decreases with increasing sequence population size. But concurrently, the replication of the sequence population needs to be costly to the host. Surprisingly, in regimes where horizontal gene transfer plays a role, the benefit conferred by the sequence population does not have to exceed the damage it causes. Together, our analyses provide a plausible scenario for the persistence of sequence populations in bacterial genomes. More importantly, we hypothesize a limited biologically relevant parameter range, which can be tested in future experiments. * These authors contributed equally to this work; hyejin.park@apctp.org † These authors contributed equally to this work ‡ bertels@evolbio.mpg.de 1 Repetitive sequences can be found in most genomes. They are particularly abundant in eukaryotes, where often only a small proportion of the genome encodes for host proteins [1]. In contrast, about 90% of a typical bacterial genome encodes for host proteins [2].The extragenic space is mostly taken up by rRNA, tRNA, transcription and translation promoters, repressors and terminators [3]. Yet, repetitive sequences can be found in the extragenic space of many bacteria [4].Repetitive sequences were first identified in Escherichia coli in the early 1980s [5]. Then, due to their sequence characteristics, they were called REP sequences, short for repetitive extragenic palindromic sequences [6]. However, it was unclear if REP sequences fulfil a functional role in the host bacterium and if so what kind of function this might be. Numerous studies found REP sequences to be involved in different biological processes, for example in transcription termination, RNA stabilisation, gyrase and integration host factor binding, as well as nucleoid folding [5,[7][8][9][10][11]. However, whether the identified functions are locally co-opted, or common to all REP sequences and therefore able to explaining the presence of REP sequences in the bacterial genome, is not clear.To determine whether a function is incidental or whether it can explain the persistence and emergence of an entire sequence class requires the understanding of the evolution of REP sequences. A study in Pseudomonas fluorescens SBW25 showed that R...

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Eco-evolutionary dynamics of social dilemmas

Cited by 67 publications

References 98 publications

Eco‐evolutionary feedbacks—Theoretical models and perspectives

Eco‐evolutionary feedbacks—Theoretical models and perspectives

Evolution of simple multicellular life cycles in dynamic environments

How sequence populations persist inside a genome

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