4.5 Article

Transgenerational and within-generation plasticity shape thermal performance curves

期刊

ECOLOGY AND EVOLUTION
卷 9, 期 4, 页码 2072-2082

出版社

WILEY
DOI: 10.1002/ece3.4900

关键词

climate change; early experience; environmental temperature; thermal performance curve; transgenerational plasticity

资金

  1. Fondo de Fomento al Desarrollo Cientifico y Tecnologico [FB0002-2014]
  2. Fondo Nacional de Desarrollo Cientifico y Tecnologico [1170017, 3140450]

向作者/读者索取更多资源

Thermal performance curves (TPCs) compute the effects of temperature on the performance of ectotherms and are frequently used to predict the effect of environmental conditions and currently, climate change, on organismal vulnerability and sensitivity. Using Drosophila melanogaster as an animal model, we examined how different thermal environments affected the shape of the performance curve and their parameters. We measured the climbing speed as a measure of locomotor performance in adult flies and tested the ontogenetic and transgenerational effects of thermal environment on TPC shape. Parents and offspring were reared at 28 +/- 0oC (28C), 28 +/- 4oC (28V), and 30 +/- 0oC (30C). We found that both, environmental thermal variability (28V) and high temperature (30C) experienced during early ontogeny shaped the fruit fly TPC sensitivity. Flies reared at variable thermal environments shifted the TPC to the right and increased heat tolerance. Flies held at high and constant temperature exhibited lower maximum performance than flies reared at the variable thermal environment. Furthermore, these effects were extended to the next generation. The parental thermal environment had a significative effect on TPC and its parameters. Indeed, flies reared at 28V whose parents were held at a high and constant temperature (30C) had a lower heat tolerance than F1 of flies reared at 28C or 28V. Also, offspring of flies reared at variable thermal environment (28V) reached the maximum performance at a higher temperature than offspring of flies reared at 28C or 30C. Consequently, since TPC parameters are not fixed, we suggest cautiousness when using TPCs to predict the impact of climate change on natural populations.

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