The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Uncovering the temporal dynamics and regulatory networks of thermal stress response in a hyperthermophile using transcriptomics and proteomics
Open accessPublished version of a preprint
Abstract
Facing rapid fluctuations in their natural environment, extremophiles, like the hyperthermophilic archaeon Pyrococcus furiosus , exhibit remarkable adaptability to extreme conditions. However, our understanding of their dynamic cellular responses remains limited. This study integrates RNA-sequencing and mass spectrometry data, thereby elucidating transcriptomic and proteomic responses to heat and cold shock stress in P. furiosus . Our results reveal rapid and dynamic changes in gene and protein expression following these stress responses. Heat shock triggers extensive transcriptome reprogramming, orchestrated by the transcriptional regulator Phr, targeting a broader gene repertoire than previously demonstrated. For heat shock signature genes, RNA levels swiftly return to baseline upon recovery, while protein levels remain persistently upregulated, reflecting a rapid but sustained response. Intriguingly, cold shock at 4°C elicits distinct short- and long-term responses at both RNA and protein levels. Cluster analysis identified gene sets with either congruent or contrasting trends in RNA and protein changes, representing well-separated arCOG groups tailored to their individual cellular responses. Particularly, upregulation of ribosomal proteins and significant enrichment of 5′-leadered sequences in cold-shock responsive genes suggest that translation regulation is important during cold shock adaption. Further investigating transcriptomic features, we reveal that thermal stress genes are equipped with basal sequence elements, such as strong promoter and poly(U)-terminators, facilitating a regulated response of the respective transcription units. Our study provides a comprehensive overview of the cellular response to temperature stress, advancing our understanding of stress response mechanisms in hyperthermophilic archaea and providing valuable insights into the molecular adaptations that facilitate life in extreme environments. IMPORTANCE: Extreme environments provide unique challenges for life, and the study of extremophiles can shed light on the mechanisms of adaptation to such conditions. Pyrococcus furiosus , a hyperthermophilic archaeon, is a model organism for studying thermal stress response mechanisms. In this study, we used an integrated analysis of RNA-sequencing and mass spectrometry data to investigate the transcriptomic and proteomic responses of P. furiosus to heat and cold shock stress and recovery. Our results reveal the rapid and dynamic changes in gene and protein expression patterns associated with these stress responses, as well as the coordinated regulation of different gene sets in response to different stressors. These findings provide valuable insights into the molecular adaptations that facilitate life in extreme environments and advance our understanding of stress response mechanisms in hyperthermophilic archaea.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“Protein quantity distributions were normalized by quartile normalization, and intensity-based absolute quatification (iBAQ) values as proxies for protein levels (65).”
MethodRegPrecise 3.0–a resource for genome-scale exploration of transcriptional regulation in bacteria
Novichkov, P. S., Kazakov, A. E., Ravcheev, D. A., Leyn, S. A., Kovaleva, G. Y., Sutormin, R. A., Kazanov, M. D., Riehl, W., Arkin, A. P., Dubchak, I., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-745 · Cited by 451
Protein and DNA Sequence Determinants of Thermophilic Adaptation
Zeldovich, K. B., Berezovsky, I. N., & Shakhnovich, E. I. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030005 · Cited by 325
Flagged first, then by citations
Research works printed but not linked: 121
- 10.1016/s1367-5931(00)00183-6 · DOI
- 10.1080/10408410701451948 · DOI
- 10.1016/s0014-5793(99)00663-8 · DOI
- 10.1007/s00253-015-6874-9 · DOI
- 10.1128/JB.183.17.5198-5202.2001 · DOI
- 10.1128/JB.187.21.7325-7332.2005 · DOI
- 10.1128/AEM.69.4.2365-2371.2003 · DOI
- 10.1007/BF00413027 · DOI
- 10.1073/pnas.210395997 · DOI
- 10.1007/s00792-009-0278-7 · DOI
- 10.1016/B978-0-444-63359-0.00002-1 · DOI
- 10.1016/j.tim.2016.11.002 · DOI
- 10.3389/fmicb.2018.00524 · DOI
- 10.1038/345179a0 · DOI
- 10.1128/AEM.00984-14 · DOI
- 10.1186/gb-2004-5-10-117 · DOI
- 10.1038/s41564-022-01245-2 · DOI
- 10.1007/s00792-017-0929-z · DOI
- 10.1038/309677a0 · DOI · Paper page
- 10.1042/ETLS20180024 · DOI
- 10.1016/j.molcel.2010.10.006 · DOI
- 10.1007/s007920070001 · DOI
- 10.1146/annurev-genet-071819-031654 · DOI
- 10.1016/s1095-6433(00)00359-7 · DOI
- 10.4161/rna.7.6.13482 · DOI
- 10.1093/femsre/fux015 · DOI
- 10.1128/AEM.01281-07 · DOI
- 10.1046/j.1365-2958.1999.01166.x · DOI
- 10.3390/microorganisms7100436 · DOI
- Phadtare S. 2004. Recent developments in bacterial cold-shock response. Curr Issues Mol Biol 6:125–136.
- 10.1046/j.1365-2958.1998.00683.x · DOI
- 10.1042/BJ20060166 · DOI
- 10.1016/j.jinsphys.2005.06.007 · DOI
- 10.1007/s00018-008-7458-y · DOI
- 10.1021/tx300264x · DOI
- 10.1128/JB.00395-07 · DOI
- 10.1074/jbc.M209250200 · DOI
- 10.1016/j.jmb.2007.03.044 · DOI
- 10.1128/JB.00924-09 · DOI
- 10.1007/s00792-020-01184-y · DOI
- 10.1046/j.1365-2958.2003.03418.x · DOI
- 10.4161/rna.28452 · DOI
- 10.1128/JB.00779-17 · DOI
- 10.1146/annurev-genet-120417-031300 · DOI
- 10.1101/2022.08.31.505529 · DOI
- 10.3389/fmicb.2019.01603 · DOI
- 10.1093/bioinformatics/bty560 · DOI · Paper page
- 10.1038/nmeth.1923 · DOI · Paper page
- 10.1093/bioinformatics/btp352 · DOI · Paper page
- 10.1186/s13059-014-0550-8 · DOI · Paper page
- 10.1093/nar/gkz114 · DOI
- 10.1093/bioinformatics/btu170 · DOI · Paper page
- 10.1101/gr.209601.116 · DOI
- 10.1261/rna.078937.121 · DOI
- 10.7554/eLife.62438 · DOI
- 10.1186/s13059-021-02543-4 · DOI
- 10.1101/2021.06.14.448286 · DOI
- 10.1093/bioinformatics/btab705 · DOI
- 10.1093/bioinformatics/bty191 · DOI · Paper page
- 10.21105/joss.01686 · DOI · Paper page
- 10.1002/pmic.201300035 · DOI
- 10.1074/mcp.TIR118.000900 · DOI
- 10.1038/s41592-020-00998-0 · DOI
- 10.1093/nar/gkv007 · DOI · Paper page
- 10.1101/2022.12.17.520879 · DOI
- 10.1093/nar/gkaa1268 · DOI
- 10.3390/life5010818 · DOI
- 10.1186/gb-2010-11-2-r14 · DOI · Paper page
- 10.1016/j.jmb.2019.06.020 · DOI
- 10.1093/nar/gkp335 · DOI · Paper page
- 10.1093/bioinformatics/btx469 · DOI
- 10.1038/s41467-021-25669-2 · DOI
- 10.1038/nmicrobiol.2016.143 · DOI
- 10.1186/1748-7188-6-26 · DOI · Paper page
- 10.1093/nar/gkt1048 · DOI
- 10.1007/s00792-018-1065-0 · DOI
- 10.1093/nar/gky1131 · DOI · Paper page
- 10.1093/nar/15.3.1281 · DOI · Paper page
- 10.1046/j.1462-2920.2002.00335.x · DOI
- 10.1038/s41598-020-58371-2 · DOI
- 10.1128/JB.187.1.336-348.2005 · DOI
- 10.1093/nar/gkw1331 · DOI
- 10.1093/nar/gkaa702 · DOI
- 10.1111/j.1365-2958.2008.06525.x · DOI
- 10.1186/s12864-015-2360-0 · DOI
- 10.3389/fmicb.2018.00838 · DOI
- 10.3389/fmicb.2020.613532 · DOI
- 10.1093/nar/30.2.482 · DOI
- 10.1261/rna.049130.114 · DOI
- 10.1046/j.1365-2958.1999.01524.x · DOI
- 10.1111/j.1462-2920.2005.00751.x · DOI
- 10.1111/j.1462-2920.2005.00978.x · DOI
- 10.1111/j.1574-6968.2001.tb10606.x · DOI
- 10.1111/1462-2920.13229 · DOI
- 10.3389/fmicb.2017.01597 · DOI
- 10.1111/j.1462-2920.2011.02467.x · DOI
- 10.1016/j.femsre.2004.10.002 · DOI
- 10.1042/BST0390089 · DOI
- 10.1093/nar/gkaa304 · DOI
- 10.3389/fmicb.2020.584152 · DOI
- 10.1046/j.1365-2958.2002.02971.x · DOI
- 10.1016/j.molcel.2018.07.018 · DOI · Paper page
- 10.1093/emboj/19.15.4101 · DOI
- 10.1038/sj.emboj.7601970 · DOI
- 10.1111/j.1365-2958.2008.06561.x · DOI
- 10.1093/nar/gkq1049 · DOI
- 10.1016/j.cub.2022.04.083 · DOI
- 10.1111/j.1574-6968.1993.tb06379.x · DOI
- 10.1261/rna.079636.123 · DOI
- 10.1038/s41586-020-2418-2 · DOI
- 10.1073/pnas.2117334119 · DOI
- 10.1038/s41467-023-40422-7 · DOI
- 10.1093/nar/gkf433 · DOI
- 10.1128/JB.00743-16 · DOI
- 10.1046/j.1432-1033.2003.03478.x · DOI
- 10.1111/mmi.13668 · DOI
- 10.1111/j.1365-2958.2010.07275.x · DOI
- 10.1038/s41564-020-0774-1 · DOI
- 10.1016/j.cell.2023.01.002 · DOI · Paper page
- 10.1093/nar/gkab1051 · DOI
- 10.1093/nar/gkab1038 · DOI · Paper page
Metadata
- Authors
- Grünberger, F., Schmid, G., El Ahmad, Z., Fenk, M., Vogl, K., Reichelt, R., Hausner, W., Urlaub, H., Lenz, C., & Grohmann, D.
- Affiliations
- University of Regensburg (DE)
- Institute of Biochemistry, Genetics and Microbiology, Institute of Microbiology and Archaea Centre, Single-Molecule Biochemistry Lab and Regensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany
- Universitätsmedizin Göttingen (DE)
- Corresponding author
- Grünberger, Felix
- Grohmann, Dina
- ORCID
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2023-12-19
- Volume
- 14
- Issue
- 6
- Pages
- e0217423-e0217423
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC10746257
- OpenAlex
- W4387660875
- Cited by
- 24
- References
- 3
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 6 · 2023: 1
- FWCI
- 3.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
- University of Regensburg Publication Server (University of Regensburg)
- Funders
- Deutsche Forschungsgemeinschaft (SPP2141, SFB 960 / TP A7)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Heat shock proteins research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- Pyrococcus furiosus, hyperthermophilic archaea, thermal stress response, heat shock, cold shock, transcriptome, proteome, gene expression dynamics, translational regulation, ribosomal proteins, 5' leader sequence, promoter elements, stress recovery, extremophile adaptation
- MeSH terms
- Hot Temperature, Mass Spectrometry, Stress, Physiological, Heat-Shock Response, Archaeal Proteins, Gene Expression Regulation, Archaeal, Pyrococcus furiosus, Proteome, Gene Expression Profiling, Proteomics, Gene Regulatory Networks, Cold-Shock Response, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review