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Isolation of Extremely Thermophilic Sulfate Reducers: Evidence for a Novel Branch of Archaebacteria
Open accessAbstract
Extremely thermophilic archaebacteria are known to be metabolizers of elemental sulfur and the methanogens. A novel group of extremely thermophilic archaebacteria is described, which consists of sulfate-respiring organisms that contain pure factor 420 and that have been isolated from marine hydrothermal systems in Italy. They possess a third type of archaebacterial RNA polymerase structure previously unknown, indicating an exceptional phylogenetic position. Most likely, this group represents a third major branch within the archaebacteria. The existence of sulfate reducers at extremely high temperatures could explain hydrogen sulfide formation in hot sulfate-containing environments, such as submarine hydrothermal systems and deep oil wells.
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Cited by
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Woods, J. H., Katz, J. L., & Winger, G. (1992) · Pharmacological Reviews · doi:10.1016/s0031-6997(25)00468-5 · Cited by 560
Hyperthermophilic archaea are thriving in deep North Sea and Alaskan oil reservoirs
Stetter, K. O., Huber, R., Blöchl, E., Kurr, M., Eden, R. D., Fielder, M., Cash, H., & Vance, I. (1993) · Nature · doi:10.1038/365743a0 · Cited by 494
Self-citationBefore enzymes and templates: theory of surface metabolism
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Metadata
- Authors
- Stetter, K. O., Lauerer, G., Thomm, M., & Neuner, A.
- Venue
- Science
- Published
- 1987-05-15
- Volume
- 236
- Issue
- 4803
- Pages
- 822-824
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2029125353
- Cited by
- 317
- References
- 0
- FWCI
- 28.34
- Type
- journal article
- Language
- en
- Open access
- green
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- Stetter, K. O., Lauerer, G., Thomm, M., & Neuner, A. (1987). Isolation of Extremely Thermophilic Sulfate Reducers: Evidence for a Novel Branch of Archaebacteria. Science. https://doi.org/10.1126/science.236.4803.822
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.