Data from: Plasticity predicts evolution in a marine alga
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...
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fttriple:oai:gotriple.eu:50|dedup_wf_001::ae1cdd54a4910ab0d53573d0f2bb9779 2023-05-15T17:51:57+02:00 Data from: Plasticity predicts evolution in a marine alga Schaum, C. Elisa Collins, Sinéad Collins, S. Schaum, C. E. 2014-01-01 https://doi.org/10.5061/dryad.gf067 undefined unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.gf067 http://dx.doi.org/10.5061/dryad.gf067 lic_creative-commons 10.5061/dryad.gf067 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:87093 oai:easy.dans.knaw.nl:easy-dataset:87093 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Phenotypic plasticity Adaptation climate change oceanography Ostreococcus tauri Life sciences medicine and health care envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2014 fttriple https://doi.org/10.5061/dryad.gf067 2023-01-22T17:23:31Z 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. Data for Figure 1Description: columns in csv file contain data as follows: ecotype - lineage of Ostreococccus. Initial plasticity - plasticity as measured at t0. Response - fitness response as measured at t400. for calculation see main manuscript and SI. whichresp - indicates whether ... Dataset Ocean acidification Unknown |
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Open Polar |
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Phenotypic plasticity Adaptation climate change oceanography Ostreococcus tauri Life sciences medicine and health care envir geo |
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Phenotypic plasticity Adaptation climate change oceanography Ostreococcus tauri Life sciences medicine and health care envir geo Schaum, C. Elisa Collins, Sinéad Collins, S. Schaum, C. E. Data from: Plasticity predicts evolution in a marine alga |
topic_facet |
Phenotypic plasticity Adaptation climate change oceanography Ostreococcus tauri Life sciences medicine and health care envir geo |
description |
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. Data for Figure 1Description: columns in csv file contain data as follows: ecotype - lineage of Ostreococccus. Initial plasticity - plasticity as measured at t0. Response - fitness response as measured at t400. for calculation see main manuscript and SI. whichresp - indicates whether ... |
format |
Dataset |
author |
Schaum, C. Elisa Collins, Sinéad Collins, S. Schaum, C. E. |
author_facet |
Schaum, C. Elisa Collins, Sinéad Collins, S. Schaum, C. E. |
author_sort |
Schaum, C. Elisa |
title |
Data from: Plasticity predicts evolution in a marine alga |
title_short |
Data from: Plasticity predicts evolution in a marine alga |
title_full |
Data from: Plasticity predicts evolution in a marine alga |
title_fullStr |
Data from: Plasticity predicts evolution in a marine alga |
title_full_unstemmed |
Data from: Plasticity predicts evolution in a marine alga |
title_sort |
data from: plasticity predicts evolution in a marine alga |
publisher |
Dryad Digital Repository |
publishDate |
2014 |
url |
https://doi.org/10.5061/dryad.gf067 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
10.5061/dryad.gf067 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:87093 oai:easy.dans.knaw.nl:easy-dataset:87093 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
https://dx.doi.org/10.5061/dryad.gf067 http://dx.doi.org/10.5061/dryad.gf067 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.gf067 |
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1766159246604369920 |