Literature DB >> 31085593

Comparing thermal performance curves across traits: how consistent are they?

Vanessa Kellermann1, Steven L Chown2, Mads Fristrup Schou3, Ian Aitkenhead2, Charlene Janion-Scheepers2,4, Allannah Clemson2, Marina Telonis Scott5, Carla M Sgrò2.   

Abstract

Thermal performance curves (TPCs) are intended to approximate the relationship between temperature and fitness, and are commonly integrated into species distributional models for understanding climate change responses. However, TPCs may vary across traits because selection and environmental sensitivity (plasticity) differ across traits or because the timing and duration of the temperature exposure, here termed time scale, may alter trait variation. Yet, the extent to which TPCs vary temporally and across traits is rarely considered in assessments of climate change responses. Using a common garden approach, we estimated TPCs for standard metabolic rate (SMR), and activity in Drosophila melanogaster at three test temperatures (16, 25 and 30°C), using flies from each of six developmental temperatures (16, 18, 20, 25, 28 and 30°C). We examined the effects of time scale of temperature exposure (minutes/hours versus days/weeks) in altering TPC shape and position, and commonly used descriptors of the TPC: thermal optimum (T opt), thermal limits (T min and T max) and thermal breadth (T br). In addition, we collated previously published estimates of TPCs for fecundity and egg-to-adult viability in D. melanogaster We found that the descriptors of the TPCs varied across traits (egg-to-adult viability, SMR, activity and fecundity), but variation in TPCs within these traits was small across studies when measured at the same time scales. The time scale at which traits were measured contributed to greater variation in TPCs than the observed variance across traits, although the relative importance of time scale differed depending on the trait (activity versus fecundity). Variation in the TPC across traits and time scales suggests that TPCs using single traits may not be an accurate predictor of fitness and thermal adaptation across environments.
© 2019. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Activity; Egg-to-adult viability; Fecundity; Metabolic rate; Plasticity; Topt

Mesh:

Year:  2019        PMID: 31085593     DOI: 10.1242/jeb.193433

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


  6 in total

1.  Thermal effects vary predictably across levels of organization: empirical results and theoretical basis.

Authors:  Francisco Bozinovic; Grisel Cavieres; Sebastián I Martel; José M Alruiz; Andrés N Molina; Hannetz Roschzttardtz; Enrico L Rezende
Journal:  Proc Biol Sci       Date:  2020-11-04       Impact factor: 5.349

2.  Future thermal regimes for epaulette sharks (Hemiscyllium ocellatum): growth and metabolic performance cease to be optimal.

Authors:  Carolyn R Wheeler; Jodie L Rummer; Barbara Bailey; Jamie Lockwood; Shelby Vance; John W Mandelman
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

3.  Thermal performance of the Chagas disease vector, Triatoma infestans, under thermal variability.

Authors:  Sabrina Clavijo-Baquet; Grisel Cavieres; Avia González; Pedro E Cattan; Francisco Bozinovic
Journal:  PLoS Negl Trop Dis       Date:  2021-02-11

4.  A fast pace-of-life is traded off against a high thermal performance.

Authors:  Nedim Tüzün; Robby Stoks
Journal:  Proc Biol Sci       Date:  2022-04-13       Impact factor: 5.530

5.  Life history strategy dictates thermal preferences across the diel cycle and in response to starvation in variable field crickets, Gryllus lineaticeps.

Authors:  Lisa A Treidel; Christopher Huebner; Kevin T Roberts; Caroline M Williams
Journal:  Curr Res Insect Sci       Date:  2022-05-25

6.  Larval thermal characteristics of multiple ixodid ticks.

Authors:  Alicia M Fieler; Andrew J Rosendale; David W Farrow; Megan D Dunlevy; Benjamin Davies; Kennan Oyen; Yanyu Xiao; Joshua B Benoit
Journal:  Comp Biochem Physiol A Mol Integr Physiol       Date:  2021-03-29       Impact factor: 2.888

  6 in total

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