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Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans

BACKGROUND: The detrimental effects of a short bout of stress can persist and potentially turn lethal, long after the return to normal conditions. Thermotolerance, which is the capacity of an organism to withstand relatively extreme temperatures, is influenced by the response during stress exposure,...

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Autores principales: Jovic, Katharina, Grilli, Jacopo, Sterken, Mark G., Snoek, Basten L., Riksen, Joost A. G., Allesina, Stefano, Kammenga, Jan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905072/
https://www.ncbi.nlm.nih.gov/pubmed/31822273
http://dx.doi.org/10.1186/s12915-019-0725-6
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author Jovic, Katharina
Grilli, Jacopo
Sterken, Mark G.
Snoek, Basten L.
Riksen, Joost A. G.
Allesina, Stefano
Kammenga, Jan E.
author_facet Jovic, Katharina
Grilli, Jacopo
Sterken, Mark G.
Snoek, Basten L.
Riksen, Joost A. G.
Allesina, Stefano
Kammenga, Jan E.
author_sort Jovic, Katharina
collection PubMed
description BACKGROUND: The detrimental effects of a short bout of stress can persist and potentially turn lethal, long after the return to normal conditions. Thermotolerance, which is the capacity of an organism to withstand relatively extreme temperatures, is influenced by the response during stress exposure, as well as the recovery process afterwards. While heat-shock response mechanisms have been studied intensively, predicting thermal tolerance remains a challenge. RESULTS: Here, we use the nematode Caenorhabditis elegans to measure transcriptional resilience to heat stress and predict thermotolerance. Using principal component analysis in combination with genome-wide gene expression profiles collected in three high-resolution time series during control, heat stress, and recovery conditions, we infer a quantitative scale capturing the extent of stress-induced transcriptome dynamics in a single value. This scale provides a basis for evaluating transcriptome resilience, defined here as the ability to depart from stress-expression dynamics during recovery. Independent replication across multiple highly divergent genotypes reveals that the transcriptional resilience parameter measured after a spike in temperature is quantitatively linked to long-term survival after heat stress. CONCLUSION: Our findings imply that thermotolerance is an intrinsic property that pre-determines long-term outcome of stress and can be predicted by the transcriptional resilience parameter. Inferring the transcriptional resilience parameters of higher organisms could aid in evaluating rehabilitation strategies after stresses such as disease and trauma.
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spelling pubmed-69050722019-12-19 Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans Jovic, Katharina Grilli, Jacopo Sterken, Mark G. Snoek, Basten L. Riksen, Joost A. G. Allesina, Stefano Kammenga, Jan E. BMC Biol Research Article BACKGROUND: The detrimental effects of a short bout of stress can persist and potentially turn lethal, long after the return to normal conditions. Thermotolerance, which is the capacity of an organism to withstand relatively extreme temperatures, is influenced by the response during stress exposure, as well as the recovery process afterwards. While heat-shock response mechanisms have been studied intensively, predicting thermal tolerance remains a challenge. RESULTS: Here, we use the nematode Caenorhabditis elegans to measure transcriptional resilience to heat stress and predict thermotolerance. Using principal component analysis in combination with genome-wide gene expression profiles collected in three high-resolution time series during control, heat stress, and recovery conditions, we infer a quantitative scale capturing the extent of stress-induced transcriptome dynamics in a single value. This scale provides a basis for evaluating transcriptome resilience, defined here as the ability to depart from stress-expression dynamics during recovery. Independent replication across multiple highly divergent genotypes reveals that the transcriptional resilience parameter measured after a spike in temperature is quantitatively linked to long-term survival after heat stress. CONCLUSION: Our findings imply that thermotolerance is an intrinsic property that pre-determines long-term outcome of stress and can be predicted by the transcriptional resilience parameter. Inferring the transcriptional resilience parameters of higher organisms could aid in evaluating rehabilitation strategies after stresses such as disease and trauma. BioMed Central 2019-12-10 /pmc/articles/PMC6905072/ /pubmed/31822273 http://dx.doi.org/10.1186/s12915-019-0725-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jovic, Katharina
Grilli, Jacopo
Sterken, Mark G.
Snoek, Basten L.
Riksen, Joost A. G.
Allesina, Stefano
Kammenga, Jan E.
Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title_full Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title_fullStr Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title_full_unstemmed Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title_short Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans
title_sort transcriptome resilience predicts thermotolerance in caenorhabditis elegans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905072/
https://www.ncbi.nlm.nih.gov/pubmed/31822273
http://dx.doi.org/10.1186/s12915-019-0725-6
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