ArticleProceedings. Biological sciences2014
Plasticity predicts evolution in a marine alga.
Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed, 176 citations in OpenAlex.
- Projecting Impacts of Marine Heatwaves and Their Effects on Long-Term Changes in Marine Ecosystems Over the 21st Century.Global change biology · 2026Article
- Unveiling the Anti-Aging Potential of Marine Natural Bioproducts.Marine drugs · 2025Review
- Inorganic Carbon Acquisition and Photosynthetic Metabolism in Marine Photoautotrophs: A Summary.Plants (Basel, Switzerland) · 2025Review
- Coevolution of marine phytoplankton and Alteromonas bacteria in response to pCO2 and coculture.The ISME journal · 2025Article
- Trait and plasticity evolution under competition and mutualism in evolving pairwise yeast communities.PloS one · 2025Article
- The Evolution of Gene Expression Plasticity During Adaptation to Salt in Chlamydomonas reinhardtii.Genome biology and evolution · 2024Article
- Strain-specific metabarcoding reveals rapid evolution of copper tolerance in populations of the coastal diatom Skeletonema marinoi.Molecular ecology · 2024Article
- When and how can we predict adaptive responses to climate change?Evolution letters · 2024Article
- Misalignment of plastic and evolutionary responses of lifespan to novel carbohydrate diets.Royal Society open science · 2024Article
- Local adaptation through countergradient selection in northern populations ofEvolutionary applications · 2023Article
- Article
- Evidence for evolutionary adaptation of mixotrophic nanoflagellates to warmer temperatures.Global change biology · 2022Article
- High Ecophysiological Plasticity ofBiology · 2022Article
- Marine Autotroph-Herbivore Synergies: Unravelling the Roles of Macroalgae in Marine Ecosystem Dynamics.Biology · 2022Review
- Evolution of thermal tolerance and phenotypic plasticity under rapid and slow temperature fluctuations.Proceedings. Biological sciences · 2022Article
- Spatial variation in high temperature-regulated gene expression predicts evolution of plasticity with climate change in the scarlet monkeyflower.Molecular ecology · 2022Article
- Biogeographic Population Structure of Chimeric Blades ofFrontiers in plant science · 2022Article
- Fluctuating selection and global change: a synthesis and review on disentangling the roles of climate amplitude, predictability and novelty.Proceedings. Biological sciences · 2021Review
- Growth strategies of a model picoplankter depend on social milieu andProceedings. Biological sciences · 2021Article
- Acclimation and adaptation to elevated pCOThe ISME journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Under global change, populations have four possible responses: 'migrate, acclimate, adapt or die' (Gienapp et al. 2008 Climate change and evolution: disentangling environmental and genetic response. Mol. Ecol. 17, 167-178. (doi:10.1111/j.1365-294X.2007.03413.x)). The challenge is to predict how much migration, acclimatization or adaptation populations are capable of. We have previously shown that populations from more variable environments are more plastic (Schaum et al. 2013 Variation in plastic responses of a globally distributed picoplankton species to ocean acidification. Nature 3, 298-230. (doi:10.1038/nclimate1774)), and here we use experimental evolution with a marine microbe to learn that plastic responses predict the extent of adaptation in the face of elevated partial pressure of CO2 (pCO2). Specifically, plastic populations evolve more, and plastic responses in traits other than growth can predict changes in growth in a marine microbe. The relationship between plasticity and evolution is strongest when populations evolve in fluctuating environments, which favour the evolution and maintenance of plasticity. Strikingly, plasticity predicts the extent, but not direction of phenotypic evolution. The plastic response to elevated pCO2 in green algae is to increase cell division rates, but the evolutionary response here is to decrease cell division rates over 400 generations until cells are dividing at the same rate their ancestors did in ambient CO2. Slow-growing cells have higher mitochondrial potential and withstand further environmental change better than faster growing cells. Based on this, we hypothesize that slow growth is adaptive under CO2 enrichment when associated with the production of higher quality daughter cells.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.