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Dissecting the Transcriptomic Basis of Phenotypic Evolution in an Aquatic Keystone Grazer
Dagmar Frisch1, Dörthe Becker1,2,3, Marcin W Wojewodzic1,4
1School of Biosciences, University of Birmingham, Birmingham, United Kingdom.
Molecular Biology and Evolution
|November 14, 2019
Summary
Ancient and modern Daphnia show preserved and divergent gene networks, revealing molecular fine-tuning drives phenotypic evolution and adaptation to environmental changes like phosphorus availability.
Area of Science:
- Evolutionary biology
- Genomics
- Ecology
Background:
- Understanding adaptation requires knowledge of molecular responses to environmental cues.
- Observing evolutionary adaptation involves comparing organismal responses before and after environmental shifts, which is rarely feasible.
- Daphnia serves as a model organism for ecological and genomic studies of adaptation.
Purpose of the Study:
- To link transcriptomic responses and phosphorus (P)-related phenotypic traits in Daphnia under varying P availability.
- To investigate evolutionary conservation and divergence in transcriptional networks between ancient and modern Daphnia genotypes.
- To elucidate the molecular mechanisms underlying phenotypic evolution and adaptation.
Main Methods:
- Utilized Daphnia as an ecological and genomic model.
- Linked transcriptomic data with P-related phenotypic traits under high and low P availability.
- Mapped weighted gene coexpression networks to traits in ancient (600 years old) and modern Daphnia pulicaria from a P-enriched lake.
- Assessed evolutionary conservation and divergence in transcriptional networks of ancient and modern isolates.
Main Results:
- Discovered highly preserved gene networks shared between ancient Daphnia genotypes and their modern descendants.
- Detected clear evidence of transcriptional divergence between evolutionarily separated Daphnia genotypes.
- Demonstrated that phenotypic evolution results from molecular fine-tuning across multiple biological layers.
Conclusions:
- Gene networks in Daphnia exhibit both conservation and divergence over evolutionary timescales.
- Molecular fine-tuning at various levels contributes to phenotypic evolution and adaptation.
- Findings advance the understanding of population persistence during significant environmental shifts.
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