ArticleTrends in ecology & evolution2013
The evolutionary time machine: using dormant propagules to forecast how populations can adapt to changing environments.
Article in Trends in ecology & evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Millennia-Long Evolution of Temperature and Salinity Dependence of a Baltic Sea Diatom Revealed by Resurrection Experiments.Global change biology · 2025Article
- Adaptation in a keystone grazer under novel predation pressure.Proceedings. Biological sciences · 2025Article
- Genomics for monitoring and understanding species responses to global climate change.Nature reviews. Genetics · 2024Review
- The hologenome of Daphnia magna reveals possible DNA methylation and microbiome-mediated evolution of the host genome.Nucleic acids research · 2023Article
- Time-travelling pathogens and their risk to ecological communities.PLoS computational biology · 2023Article
- Recent evolution of flowering time across multiple European plant species correlates with changes in aridity.Oecologia · 2023Article
- Using landscape genomics to delineate future adaptive potential for climate change in the Yosemite toad (Evolutionary applications · 2023Article
- Cost-saving population genomic investigation ofEcology and evolution · 2022Article
- Changing patterns of genetic differentiation in the slender wild oat,Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Review
- Phenotypic but no genetic adaptation in zooplankton 24 years after an abrupt +10°C climate change.Evolution letters · 2022Article
- Scared to evolve? Non-consumptive effects drive rapid adaptive evolution in a natural prey population.Proceedings. Biological sciences · 2022Article
- Evolution of flowering time in a selfing annual plant: Roles of adaptation and genetic drift.Ecology and evolution · 2022Article
- Accounting for variability when resurrecting dormant propagules substantiates their use in eco-evolutionary studies.Evolutionary applications · 2021Article
- Hybridization Dynamics and Extensive Introgression in the Daphnia longispina Species Complex: New Insights from a High-Quality Daphnia galeata Reference Genome.Genome biology and evolution · 2021Article
- Evolution and seed dormancy shape plant genotypic structure through a successional cycle.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Extensive standing genetic variation from a small number of founders enables rapid adaptation in Daphnia.Nature communications · 2021Article
- Centennial clonal stability of asexualEcology and evolution · 2020Article
- Dead or alive: sediment DNA archives as tools for tracking aquatic evolution and adaptation.Communications biology · 2020Review
- A comprehensive epigenomic analysis of phenotypically distinguishable, genetically identical female and male Daphnia pulex.BMC genomics · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Evolutionary changes are determined by a complex assortment of ecological, demographic, and adaptive histories. Predicting how evolution will shape the genetic structures of populations coping with current (and future) environmental challenges has principally relied on investigations through space, in lieu of time, because long-term phenotypic and molecular data are scarce. Yet, dormant propagules in sediments, soils, and permafrost are convenient natural archives of population histories from which to trace adaptive trajectories along extended time periods. DNA sequence data obtained from these natural archives, combined with pioneering methods for analyzing both ecological and population genomic time-series data, are likely to provide predictive models to forecast evolutionary responses of natural populations to environmental changes resulting from natural and anthropogenic stressors, including climate change.
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