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Grieg F. Steward

Researcher at University of Hawaii

Publications -  91
Citations -  8493

Grieg F. Steward is an academic researcher from University of Hawaii. The author has contributed to research in topics: Metagenomics & Genome. The author has an hindex of 42, co-authored 87 publications receiving 7634 citations. Previous affiliations of Grieg F. Steward include Monterey Bay Aquarium Research Institute & University of California, Santa Cruz.

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Nitrogenase gene diversity and microbial community structure: a cross-system comparison.

TL;DR: Analysis of the distribution of nifH phylotypes among habitats indicates that there are characteristic patterns of nitrogen fixing microorganisms in termite guts, sediment and soil environments, estuaries and salt marshes, and oligotrophic oceans.
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Unicellular cyanobacteria fix N2 in the subtropical North Pacific Ocean.

TL;DR: It is shown that there are unicellular cyanobacteria in the open ocean that are expressing nitrogenase, and are abundant enough to potentially have a significant role in N dynamics.
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Dynamics of Bacterial Community Composition and Activity during a Mesocosm Diatom Bloom

TL;DR: Rate measurements as well as bacterial population dynamics were almost identical among the mesocosms indicating that the observed bacterial community dynamics were systematic and repeatable responses to the manipulated conditions.
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Variability in ectohydrolytic enzyme activities of pelagic marine bacteria and its significance for substrate processing in the sea

TL;DR: No distinct differences in enzyme activlty profiles were found between isolates collected from vanous types of particles versus those from the surround~ng water, suggesting specialization for dlfferent types of polyrnenc substrates in d~fferent species.
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Minimum information about an uncultivated virus genome (MIUVIG)

Simon Roux, +63 more
- 01 Jan 2019 - 
TL;DR: The MIUViG (Minimum Information about an Uncultivated Virus Genome) as mentioned in this paper standard was developed within the Genomic Standards Consortium framework and includes virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction.