Predicting the evolution of adaptation and plasticity from temporal environmental change DOI Creative Commons
Cristóbal Gallegos, Kathryn A. Hodgins, Keyne Monro

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 13, 2023

Abstract Environmental change drives evolutionary adaptation, which determines geographic patterns of biodiversity. At a time rapid environmental change, however, our ability to predict its impacts is far from complete. Temporal in particular, often involves joint changes major components such as mean, trend, cyclic and noise. While theoretical predictions exist for adaptation temporal isolated components, knowledge gaps remain. To identify those gaps, we review the relevant literature, finding that studies rarely assess relative effects changing simultaneously, or attempt translate field conditions. address draw on classic theory develop model evolution tolerance, determined by an evolving phenotypically plastic trait, response change. We different including rates towards new optima, plasticity. retrieve synthesize earlier responses isolation, while also generating simultaneously. Notably, show how forms predictability emerging interplay stochastic (noise), generation shape predicted outcomes. then parameterise using temperature series global marine hotspot southern Australia, illustrating utility predicting testable evolved thermal tolerance. Our framework provides insights into plasticity under offering path improving biological climate

Language: Английский

Impacts of limits to adaptation on population and community persistence in a changing environment DOI Creative Commons
Luis‐Miguel Chevin, Jon R. Bridle

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 380(1917)

Published: Jan. 9, 2025

A key issue in predicting how ecosystems will respond to environmental change is understanding why populations and communities are able live reproduce some parts of ecological geographical space, but not others. The limits adaptation that cause niches vary position width across taxa contexts determine emerge from selection on phenotypes genomes. Ecological trade-offs mean can only be optimal environments unless these reshaped through evolution. However, the amount rate evolution limited by genetic architectures, developmental systems (including phenotypic plasticity) legacies recent evolutionary history. Here, we summarize adaptive their consequences time (evolutionary rescue) space (species’ range limits), relating theoretical predictions empirical tests. We then highlight avenues for future research this area, better connections between demography analysing genomic architecture adaptation, dynamics plasticity interactions biotic abiotic environment. Progress questions help us understand when where allow species persist face rapid change. This article part discussion meeting ‘Bending curve towards nature recovery: building Georgina Mace's legacy a biodiverse future’.

Language: Английский

Citations

2
Phenotypic plasticity evolves at multiple biological levels in response to environmental predictability in a long-term experiment with a halotolerant microalga DOI Creative Commons
Christelle Leung, Daphné Grulois, Leandro Quadrana

et al.

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(3), P. e3001895 - e3001895

Published: March 24, 2023

Phenotypic plasticity, the change in phenotype of a given genotype response to its environment development, is ubiquitous feature life, enabling organisms cope with variation their environment. Theoretical studies predict that, under stationary environmental variation, level plasticity should evolve match predictability selection at timing development. However, extent which patterns evolution for more integrated traits are mirrored by underlying molecular mechanisms remains unclear, especially well-characterized selective pressures exerted predictability. Here, we used experimental microalgae Dunaliella salina controlled fluctuations, test whether phenotypic responses (as measured squared autocorrelation ρ 2 ) occurred across biological levels, going from DNA methylation gene expression cell morphology. Transcriptomic analysis indicates clear effects salinity and × interaction on expression, thus identifying sets genes involved evolution. These transcriptomic were independent changes cis . did find - specific change, albeit weaker than expression. Overall, found consistent reduced less predictable environments methylation, Our results provide first empirical signature multiple levels predictability, highlight importance address predictions evolutionary theory, as well investigate basis

Language: Английский

Citations

15
Limited plasticity but increased variance in physiological rates across ectotherm populations under climate change DOI Creative Commons
Daniel W. A. Noble, Fonti Kar, Alex Bush

et al.

Functional Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Abstract Climate change causes warmer and more variable temperatures globally, impacting physiological rates function in ectothermic animals. Acclimation of can help maintain function. However, it is unresolved how variance changes with temperature despite its potential ecological evolutionary importance. We developed new effect sizes that capture both the mean variation across (based on coefficient, ) used them to test acclimation acute thermal responses vary aquatic terrestrial ectotherms using meta‐analysis (>1900 effects from 226 species). Comparing magnitude side‐by‐side provides unique opportunities for evaluating importance plasticity selection under climate change. show increases at higher temperatures, but depends habitat. Freshwater marine are capable have greatest increase variance. In contrast, reduced abilities smaller rate. Simulations suggest these patterns may result differences among‐individual breadth optima performance curves habitats. Our results highlight greater vulnerability because a lack capacity limited provide less raw material adaptation. Considering therefore important understanding will impact populations. Read free Plain Language Summary this article Journal blog.

Language: Английский

Citations

0
Responses of coastal phytoplankton communities to herbicide exposure: enhanced resistance coupled with reduced resilience DOI
Yunsheng Wang,

Ziang Zhao,

Xiukai Song

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121734 - 121734

Published: May 1, 2025

Language: Английский

Citations

0
Reduced plasticity and variance in physiological rates of ectotherm populations under climate change DOI Creative Commons
Daniel W. A. Noble, Fonti Kar, Alex Bush

et al.

Published: Feb. 16, 2024

Climate change is expected to result in warmer and more variable thermal environments globally. Greater variability strong selection pressures leading genetic adaptation and/or the evolution of adaptive phenotypic plasticity. Such responses depend on variability. However, most work has focused changes mean climate warming ignoring how temperature may also Phenotypic be particularly important at extreme, high temperatures, which would facilitate resistant individuals or promote plasticity (acclimation) thereby increase resilience heat waves. Using newly developed effect size estimates meta-analysis (>1900 effects from 226 species), we show that across habitats relative variance physiological rates decreased higher temperatures. Freshwater ectotherms are capable acclimating have smallest reductions variance. Marine organisms showed a capacity acclimate but for traded-off with reduction Relative were pronounced terrestrial ectotherms, this coincided lack acclimation, highlighting vulnerability change. Neither life-history stage nor past explained Our results beneficial acclimation trade-off rate This could constrain evolutionary reduce potential benefits portfolio effects. These findings ecological ramifications affect our understanding will impact populations now future.

Language: Английский

Citations

2
Predicting adaptation and evolution of plasticity from temporal environmental change DOI Creative Commons
Cristóbal Gallegos, Luis‐Miguel Chevin, Kathryn A. Hodgins

et al.

Methods in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 16(1), P. 84 - 96

Published: Nov. 22, 2024

Abstract Environmental change can drive evolutionary adaptation and determine geographic patterns of biodiversity. Yet at a time rapid environmental change, our ability to predict its impacts is incomplete. Temporal in particular, involves combination major components such as abrupt shift, trend, cyclic noise. Theoretical predictions exist for isolated components, but knowledge gaps remain regarding their joint impacts. We extend classic theory develop model the evolution tolerance by an underlying developmentally plastic trait, response temporal change. retrieve synthesise earlier responses generate new changing simultaneously. Notably, we show how different forms predictability emerging from interplay stochastic (noise) lag between development selection shape predictions. then illustrate utility generating testable plasticity when parameterised with real series data. Specifically, parameterise daily sea‐surface temperature global marine hotspot southern Australia, use simulations thermal tolerance, differences this region. By synthesising on providing insights into effects framework, embedded Shiny app, offer path better biological climate

Language: Английский

Citations

2
Evolution in Response to Climate Change DOI
Julie R. Etterson, Ruth G. Shaw

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 141 - 148

Published: Oct. 18, 2023

Language: Английский

Citations

2
Predicting the evolution of adaptation and plasticity from temporal environmental change DOI Creative Commons
Cristóbal Gallegos, Kathryn A. Hodgins, Keyne Monro

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 13, 2023

Abstract Environmental change drives evolutionary adaptation, which determines geographic patterns of biodiversity. At a time rapid environmental change, however, our ability to predict its impacts is far from complete. Temporal in particular, often involves joint changes major components such as mean, trend, cyclic and noise. While theoretical predictions exist for adaptation temporal isolated components, knowledge gaps remain. To identify those gaps, we review the relevant literature, finding that studies rarely assess relative effects changing simultaneously, or attempt translate field conditions. address draw on classic theory develop model evolution tolerance, determined by an evolving phenotypically plastic trait, response change. We different including rates towards new optima, plasticity. retrieve synthesize earlier responses isolation, while also generating simultaneously. Notably, show how forms predictability emerging interplay stochastic (noise), generation shape predicted outcomes. then parameterise using temperature series global marine hotspot southern Australia, illustrating utility predicting testable evolved thermal tolerance. Our framework provides insights into plasticity under offering path improving biological climate

Language: Английский

Citations

0