Literature DB >> 22357587

Biophysics, environmental stochasticity, and the evolution of thermal safety margins in intertidal limpets.

M W Denny1, W W Dowd.   

Abstract

As the air temperature of the Earth rises, ecological relationships within a community might shift, in part due to differences in the thermal physiology of species. Prediction of these shifts - an urgent task for ecologists - will be complicated if thermal tolerance itself can rapidly evolve. Here, we employ a mechanistic approach to predict the potential for rapid evolution of thermal tolerance in the intertidal limpet Lottia gigantea. Using biophysical principles to predict body temperature as a function of the state of the environment, and an environmental bootstrap procedure to predict how the environment fluctuates through time, we create hypothetical time-series of limpet body temperatures, which are in turn used as a test platform for a mechanistic evolutionary model of thermal tolerance. Our simulations suggest that environmentally driven stochastic variation of L. gigantea body temperature results in rapid evolution of a substantial 'safety margin': the average lethal limit is 5-7°C above the average annual maximum temperature. This predicted safety margin approximately matches that found in nature, and once established is sufficient, in our simulations, to allow some limpet populations to survive a drastic, century-long increase in air temperature. By contrast, in the absence of environmental stochasticity, the safety margin is dramatically reduced. We suggest that the risk of exceeding the safety margin, rather than the absolute value of the safety margin, plays an underappreciated role in the evolution of thermal tolerance. Our predictions are based on a simple, hypothetical, allelic model that connects genetics to thermal physiology. To move beyond this simple model - and thereby potentially to predict differential evolution among populations and among species - will require significant advances in our ability to translate the details of thermal histories into physiological and population-genetic consequences.

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Year:  2012        PMID: 22357587     DOI: 10.1242/jeb.058958

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  6 in total

1.  Micro-scale environmental variation amplifies physiological variation among individual mussels.

Authors:  Ana Gabriela Jimenez; Sarah Jayawardene; Shaina Alves; Jeremiah Dallmer; W Wesley Dowd
Journal:  Proc Biol Sci       Date:  2015-12-07       Impact factor: 5.349

2.  Rare genetic variation and balanced polymorphisms are important for survival in global change conditions.

Authors:  Reid S Brennan; April D Garrett; Kaitlin E Huber; Heidi Hargarten; Melissa H Pespeni
Journal:  Proc Biol Sci       Date:  2019-06-12       Impact factor: 5.349

Review 3.  Quantifying thermal extremes and biological variation to predict evolutionary responses to changing climate.

Authors:  Joel G Kingsolver; Lauren B Buckley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-06-19       Impact factor: 6.237

4.  A series of unfortunate events: characterizing the contingent nature of physiological extremes using long-term environmental records.

Authors:  W Wesley Dowd; Mark W Denny
Journal:  Proc Biol Sci       Date:  2020-01-15       Impact factor: 5.349

5.  Elevated Salinity Rapidly Confers Cross-Tolerance to High Temperature in a Splash-Pool Copepod.

Authors:  Mark W Denny; W Wesley Dowd
Journal:  Integr Org Biol       Date:  2022-08-06

6.  Microclim: Global estimates of hourly microclimate based on long-term monthly climate averages.

Authors:  Michael R Kearney; Andrew P Isaac; Warren P Porter
Journal:  Sci Data       Date:  2014-05-27       Impact factor: 6.444

  6 in total

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