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Mercury Resistance and Mercuric Reductase Activities and Expression among Chemotrophic Thermophilic Aquificae

Overview of attention for article published in Applied and Environmental Microbiology, July 2012
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Article details
Title
Mercury Resistance and Mercuric Reductase Activities and Expression among Chemotrophic Thermophilic Aquificae
Published in
Applied and Environmental Microbiology, July 2012
DOI 10.1128/aem.01060-12
Pubmed ID
Authors

Zachary Freedman, Chengsheng Zhu, Tamar Barkay

Abstract

Mercury (Hg) resistance (mer) by the reduction of mercuric to elemental Hg is broadly distributed among the Bacteria and Archaea and plays an important role in Hg detoxification and biogeochemical cycling. MerA is the protein subunit of the homodimeric mercuric reductase (MR) enzyme, the central function of the mer system. MerA sequences in the phylum Aquificae form the deepest-branching lineage in Bayesian phylogenetic reconstructions of all known MerA homologs. We therefore hypothesized that the merA homologs in two thermophilic Aquificae, Hydrogenobaculum sp. strain Y04AAS1 (AAS1) and Hydrogenivirga sp. strain 128-5-R1-1 (R1-1), specified Hg resistance. Results supported this hypothesis, because strains AAS1 and R1-1 (i) were resistant to >10 μM Hg(II), (ii) transformed Hg(II) to Hg(0) during cellular growth, and (iii) possessed Hg-dependent NAD(P)H oxidation activities in crude cell extracts that were optimal at temperatures corresponding with the strains' optimal growth temperatures, 55°C for AAS1 and 70°C for R1-1. While these characteristics all conformed with the mer system paradigm, expression of the Aquificae mer operons was not induced by exposure to Hg(II) as indicated by unity ratios of merA transcripts, normalized to gyrA transcripts for hydrogen-grown AAS1 cultures, and by similar MR specific activities in thiosulfate-grown cultures with and without Hg(II). The Hg(II)-independent expression of mer in the deepest-branching lineage of MerA from bacteria whose natural habitats are Hg-rich geothermal environments suggests that regulated expression of mer was a later innovation likely in environments where microorganisms were intermittently exposed to toxic concentrations of Hg.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 1%
Mexico 1 1%
Switzerland 1 1%
Canada 1 1%
Unknown 93 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 23%
Student > Bachelor 13 13%
Student > Master 11 11%
Researcher 11 11%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 24 25%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 32%
Biochemistry, Genetics and Molecular Biology 18 19%
Environmental Science 4 4%
Immunology and Microbiology 4 4%
Engineering 4 4%
Other 8 8%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Applied and Environmental Microbiology
#17,705
of 19,160 outputs
Outputs of similar age
#139,091
of 177,694 outputs
Outputs of similar age from Applied and Environmental Microbiology
#108
of 138 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,160 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 177,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.