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Published on: January 19, 2018
Exploring links between climatic predictability and the evolution of within- and transgenerational plasticity
Sridhar Halali1,2, Marjo Saastamoinen1,2
1Research Centre for Ecological Change, Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland.
Phenotypic plasticity aids survival in changing environments. This study on butterflies found that while seasonal temperatures are predictable, within-season changes favor immediate (within-generation) adaptation over inherited (transgenerational) adaptation.
Area of Science:
- Ecology
- Evolutionary Biology
- Environmental Science
Background:
- Phenotypic plasticity enhances fitness in variable environments by matching phenotypes to environmental conditions.
- Adaptive plasticity evolves when environmental conditions predict future selective pressures, enabling within-generation or transgenerational adaptation.
- Environmental predictability can also influence adaptive stress responses.
Purpose of the Study:
- To investigate the relationship between environmental predictability and the evolution of adaptive plasticity.
- To assess the role of temperature predictability in shaping phenotypic plasticity in the butterfly *Melitaea cinxia*.
Main Methods:
- Utilized time series analysis of 48 years of temperature data.
- Conducted a common garden experiment using temperature as a stressor.
- Examined life-history traits for evidence of within-generation and transgenerational plasticity.
Main Results:
- Across-season temperatures showed predictability, but within-season fluctuations were heterogeneous and asynchronous.
- Most traits exhibited strong within-generation plasticity in response to temperature, with some breaking the temperature-size rule.
- Transgenerational plasticity was weak, with limited adaptive and non-adaptive responses observed.
Conclusions:
- Low within-season temperature predictability likely hinders the evolution of adaptive transgenerational plasticity.
- Strong within-generation plasticity is favored in environments with unpredictable short-term fluctuations.
- Findings highlight the differential evolution of plasticity types based on environmental predictability.
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