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Cited by 455

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Untangling Genomes from Metagenomes: Revealing an Uncultured Class of Marine Euryarchaeota

Iverson, Vaughn, Morris, Robert M., Frazar, Christian D., Berthiaume, Chris T., Morales, Rhonda L., Armbrust, E. Virginia·2012·Science

Abstract

Mystery of an Unextreme Microbe: Metagenomics has given us glimpses into the huge diversity of microorganisms that are the engines of Earth's elemental cycling. These kinds of surveys can supply a good idea of the dominant organisms in ecosystems, but, because the majority of environmental microbes are difficult to culture and the most abundant organisms swamp metagenomes, it is difficult to discern the functional significance of other contributors. Iverson et al. (p. 587 ) sampled the Puget Sound and developed methods to reconstruct individual genomes from metagenomes, which allowed closure of a genome from the enigmatic marine group II Euryarchaeota . This Archaean is evidently motile, shows signs of extensive gene-swapping with bacteria, and offers some hints to the origin of proteorhodopsin—a molecule that some marine bacteria use to harvest energy from sunlight.

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Metadata

Authors
Iverson, V., Morris, R. M., Frazar, C. D., Berthiaume, C. T., Morales, R. L., & Armbrust, E. V.
Venue
Science
Published
2012-02-03
Volume
335
Issue
6068
Pages
587-590
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1979006961
Cited by
455
References
7
FWCI
23.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Untangling Genomes from Metagenomes: Revealing an Uncultured Class of Marine Euryarchaeota. https://app.cochat.ai/papers/10.1126/science.1212665
The paper
Iverson, V., Morris, R. M., Frazar, C. D., Berthiaume, C. T., Morales, R. L., & Armbrust, E. V. (2012). Untangling Genomes from Metagenomes: Revealing an Uncultured Class of Marine Euryarchaeota. Science. https://doi.org/10.1126/science.1212665

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.