Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions

(2020) Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions. DRYAD doi:10.5061/dryad.stqjq2c22 [Dataset]

Abstract

Although environmental variability and predictability have been proposed as the underlying ecological context in which transgenerational plasticity (TGP) arises, the adaptive significance and interaction with within-generation plasticity (WGP) in such scenarios is still poorly understood. In order to investigate these questions, we considered the tolerance to upper thermal limits of larvae and adults of the desert endemic Drosophila mojavensis adapted to different climatic regions (Desert vs Mediterranean climate). Thermal plasticity was investigated by acclimating parents and offspring at 36°C (versus at 25°C). We then used historical temperature variation data from both regions to perform individual-based simulations by modeling expected components of adaptive plasticity in multiple life stages. Thermal response to ramping heat shocks was more pronounced in larvae, where acclimation treatments in parents and offspring increased their heat-shock performance, while heat knockdown in adults was only increased by offspring acclimation of adults. The relative contribution of WGP and TGP was greater for the population from the more thermally variable Sonoran Desert. Similarly, individual-based simulations of evolving maternal effects indicated that variation in tolerance to upper thermal limits across life stages and climates is expected from its adaptive significance in response to environmental predictability. Our approach offers a new perspective and interpretation of adaptive plasticity, demonstrating that environmental predictability can drive thermal responses across generations and life stages in a scenario with regional climate variability.,The data is divided in three excel sheets, one for each type of response variable: Viability: For data on larval viability in response to heat treatments Development time: For data on developmental time in response to heat treatments Knockdown: Data on the heat knockdown time as a response to heat treatments Headers of factor columns: population: The population sampled heat-shock_period: Time used for heat shocks in hours temp_parents: acclimation performed in parents in Celsius temp_acclimation_larva: acclimation performed in F1 larva in Celsius temp_acclimation_adult: acclimation performed in F1 adults in Celsius sex: sex of adult flies Headers of response variables: larva-pupa_viability: larva-to-pupa viability larva-adult_viability: larva-to-adult viability larva-pupa_std_viability: larva-to-adult standardized viability larva-adult_std_viability: larva-to-adult-standardized viability larva-pupa_dev: larva-to-pupa development time in days larva-adult_dev: larva-to-adult development time in days pupa-adult_dev: pupa-to-adult development time in days knockdown_time: Heat knockdown time in minutes,The methods for this dataset can be found in the asociated scientific article.

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Contributors

Contributor: Rebecca B. Hoyle

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