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Comparative Transcriptomics Sheds Light on Remodeling of Gene Expression during Diazotrophy in the Thermophilic Methanogen Methanothermococcus thermolithotrophicus
Open accessPublished version of a preprint
Abstract
The thermophilic anaerobic archaeon M. thermolithotrophicus is a particularly suitable model organism to study the coupling of methanogenesis to diazotrophy. Likewise, its capability of simultaneously reducing N 2 and CO 2 into NH 3 and CH 4 with H 2 makes it a viable target for biofuel production.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Buckel, W., & Thauer, R. K. (2013) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2012.07.002 · Cited by 797
Duin, E. C., Wagner, T., Shima, S., Prakash, D., Cronin, B., Yáñez-Ruiz, D. R., Duval, S., Rümbeli, R., Stemmler, R. T., Thauer, R. K., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600298113 · Cited by 339
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Research works printed but not linked: 107
- 10.1038/nrmicro1931 · DOI · Paper page
- 10.1146/annurev-micro-011720-122807 · DOI
- 10.1146/annurev-micro-092412-155614 · DOI
- 10.1016/S1002-0160(18)60052-9 · DOI
- 10.3389/fmicb.2020.00486 · DOI
- 10.1038/312286a0 · DOI
- 10.1038/312284a0 · DOI
- 10.1021/acs.biochem.9b00468 · DOI
- 10.1128/AEM.69.2.960-970.2003 · DOI
- 10.1111/j.1462-2920.2007.01353.x · DOI
- 10.1128/AEM.02556-08 · DOI
- 10.1128/AEM.02222-17 · DOI
- 10.1126/science.1178223 · DOI
- 10.1039/c8mt00038g · DOI
- 10.1128/JB.180.6.1504-1511.1998 · DOI
- 10.1093/genetics/152.4.1343 · DOI
- 10.1093/jn/130.5.1081 · DOI
- 10.3389/fmicb.2011.00205 · DOI
- 10.1111/j.1472-4669.2011.00278.x · DOI · Paper page
- 10.3389/fmicb.2013.00201 · DOI
- 10.1128/JB.02611-14 · DOI
- 10.1146/annurev.micro.61.080706.093409 · DOI
- 10.1046/j.1365-2958.2003.03293.x · DOI
- 10.1074/jbc.M411778200 · DOI
- 10.1128/JB.183.3.882-889.2001 · DOI
- 10.1128/jb.177.20.5773-5777.1995 · DOI
- 10.1128/jb.179.2.541-543.1997 · DOI
- 10.1111/j.1365-2958.2005.04621.x · DOI
- 10.1073/pnas.0602278103 · DOI
- 10.1128/jb.172.12.6789-6796.1990 · DOI
- 10.1128/aem.54.7.1656-1661.1988 · DOI
- 10.1128/jb.178.1.143-148.1996 · DOI
- 10.1155/2002/362813 · DOI
- 10.1007/s00203-008-0369-3 · DOI
- 10.1080/15476286.2017.1306170 · DOI
- 10.1126/science.1134772 · DOI
- 10.1007/BF00690816 · DOI
- Jespersen M Pierik AJ Wagner T. 2022. The structure of the F 420 -dependent sulfite-detoxifying enzyme from Methanococcales reveals a prototypical sulfite-reductase with assimilatory traits. bioRxiv. doi:10.1101/2022.04.07.487323. · DOI
- 10.3390/ijms22168631 · DOI
- 10.1128/aem.32.2.264-269.1976 · DOI
- 10.1002/9781119951438.eibc2621 · DOI
- 10.1016/0014-5793(73)80023-7 · DOI
- 10.1128/jb.82.1.130-134.1961 · DOI
- 10.1016/0304-4165(74)90037-3 · DOI
- 10.1021/bi0270790 · DOI
- 10.1007/s002030050508 · DOI
- 10.1016/s0923-2508(01)01202-5 · DOI
- 10.1007/s10534-011-9421-x · DOI
- 10.1074/jbc.M101293200 · DOI
- 10.1128/JB.00548-06 · DOI
- 10.1016/j.bbapap.2007.11.013 · DOI
- 10.1016/s0005-2736(98)00003-0 · DOI
- 10.1128/JB.05099-11 · DOI
- 10.1007/s00438-006-0117-9 · DOI
- 10.1073/pnas.0909051106 · DOI
- 10.1039/d1sc00289a · DOI
- 10.1002/anie.202011367 · DOI
- 10.1186/1471-2180-9-149 · DOI
- 10.1128/JB.181.21.6573-6584.1999 · DOI
- 10.1007/BF02092121 · DOI
- 10.1007/s00018-005-5269-y · DOI
- 10.1016/j.ccr.2008.01.017 · DOI
- 10.3390/inorganics8080044 · DOI
- 10.3389/fmicb.2014.00597 · DOI
- 10.1128/AEM.01455-08 · DOI
- 10.1128/JB.185.8.2548-2554.2003 · DOI
- 10.1128/MMBR.00041-13 · DOI
- 10.1093/nar/gkw387 · DOI
- 10.1002/pro.73 · DOI
- 10.1007/s00792-014-0672-7 · DOI
- 10.1007/BF00425213 · DOI
- 10.1515/9783110493672-008 · DOI
- 10.1099/00207713-48-3-913 · DOI
- 10.1016/j.lithos.2009.02.008 · DOI
- 10.1099/ijs.0.02390-0 · DOI
- 10.1038/ismej.2013.246 · DOI
- 10.1186/1471-2180-3-24 · DOI
- Chanderban M Hill CA Dhamad AE Lessner DJ. 2021. Methanosarcina acetivorans simultaneously produces molybdenum vanadium and iron-only nitrogenases in response to fixed nitrogen and molybdenum depletion. bioRxiv. doi:10.1101/2021.06.03.447018. · DOI
- 10.1007/BF00425360 · DOI
- 10.1016/j.jmb.2015.06.021 · DOI · Paper page
- 10.1126/scisignal.aat6409 · DOI
- 10.1073/pnas.2025854118 · DOI
- 10.1134/S0003683822030061 · DOI
- 10.1111/j.1574-6968.2007.00726.x · DOI
- 10.1111/febs.12876 · DOI
- 10.1128/microbiolspec.RWR-0018-2018 · DOI
- 10.1139/f80-106 · DOI
- 10.1186/1471-2105-5-113 · DOI
- 10.1093/molbev/msy096 · DOI
- 10.1093/molbev/msab120 · DOI
- 10.1093/oxfordjournals.molbev.a040454 · DOI
- 10.1093/bioinformatics/8.3.275 · DOI
- 10.1093/bioinformatics/bts611 · DOI
- 10.1038/nmeth.1923 · DOI · Paper page
- 10.3389/fmicb.2018.03349 · DOI
- 10.1186/s13059-014-0550-8 · DOI · Paper page
- 10.1016/j.ab.2007.03.010 · DOI
- 10.1038/s41592-020-00971-x · DOI
- 10.1186/1471-2105-11-119 · DOI
- 10.1093/nar/gkv1276 · DOI
- 10.1093/nar/gkv1248 · DOI
- 10.1093/nar/28.1.27 · DOI · Paper page
- 10.1038/nmeth.3176 · DOI · Paper page
- Eddy SR. 2009. A new generation of homology search tools based on probabilistic inference. Genome Inform 23:205–211.
- 10.1093/nar/gkv1344 · DOI · Paper page
- Hallgren J Tsirigos KD Pedersen MD Almagro Armenteros JJ Marcatili P Nielsen H Krogh A Winther O. 2022. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks. bioRxiv. https://10.1101/2022.04.08.487609. · DOI
- 10.1111/j.1558-5646.1985.tb00420.x · DOI
Metadata
- Authors
- Maslać, N., Sidhu, C., Teeling, H., & Wagner, T.
- Affiliations
- Max Planck Institute for Marine Microbiology (DE)
- Corresponding author
- Wagner, Tristan
- Venue
- mBio
- Publisher
- American Society for Microbiology
- Published
- 2022-12-20
- Volume
- 13
- Issue
- 6
- Pages
- e0244322-e0244322
- ISSN
- 2150-7511 (ISSN-L)
- PMC
- PMC9765008
- OpenAlex
- W4309510767
- Cited by
- 18
- References
- 3
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 4 · 2023: 4
- FWCI
- 1.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mBio (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Max-Planck-Gesellschaft
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Anaerobic Digestion and Biogas Production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Metalloenzymes and iron-sulfur proteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial metabolism and enzyme function
- Keywords
- diazotrophy, Methanothermococcus thermolithotrophicus, thermophilic methanogens, molybdenum nitrogenase, nitrogen limitation, differentially expressed genes, nitrogen fixation, core metabolism
- MeSH terms
- Molybdenum, Nitrogen, Nitrogen Fixation, Nitrogenase, Methanococcaceae, Euryarchaeota, Transcriptome, Ammonium Compounds
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