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Updated: Feb 18, 2026

Resurrection of Dormant Daphnia magna: Protocol and Applications
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What genomic data can reveal about eco-evolutionary dynamics.

Seth M Rudman1, Matthew A Barbour2, Katalin Csilléry3

  • 1Department of Biology, University of Pennsylvania, Philadelphia, PA, USA. srudman@sas.upenn.edu.

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|November 22, 2017
PubMed
Summary

Genomic data can enhance the study of eco-evolutionary dynamics by providing mechanistic insights into phenotypic change and improving evolutionary predictions in natural settings.

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Area of Science:

  • Ecology and Evolutionary Biology
  • Genomics
  • Eco-evolutionary Dynamics

Background:

  • Eco-evolutionary dynamics integrate ecological and evolutionary processes occurring on similar timescales.
  • Empirical testing of eco-evolutionary dynamics in natural systems is challenging due to data limitations.

Purpose of the Study:

  • To advocate for the integration of genomic data into eco-evolutionary dynamics research.
  • To identify key questions in eco-evolutionary dynamics that can be addressed using genomic data.

Main Methods:

  • The study proposes a framework for integrating genomic data into the analysis of eco-evolutionary dynamics.
  • It outlines five major research questions amenable to genomic approaches.

Main Results:

  • Genomic data can offer mechanistic understanding of phenotypic evolution.
  • Integrating genomic data can elucidate the drivers of eco-evolutionary dynamics.
  • Genomic approaches can lead to more accurate predictions of eco-evolutionary dynamics.

Conclusions:

  • Genomic data are crucial for advancing the study of eco-evolutionary dynamics.
  • A mechanistic understanding of phenotypic change is facilitated by genomic insights.
  • Improved predictive power for eco-evolutionary dynamics in nature is achievable through genomic integration.