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Spatio-Temporal Detection of the Thiomonas Population and the Thiomonas Arsenite Oxidase Involved in Natural Arsenite Attenuation Processes in the Carnoulès Acid Mine Drainage

Overview of attention for article published in Frontiers in Cell and Developmental Biology, February 2016
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Title
Spatio-Temporal Detection of the Thiomonas Population and the Thiomonas Arsenite Oxidase Involved in Natural Arsenite Attenuation Processes in the Carnoulès Acid Mine Drainage
Published in
Frontiers in Cell and Developmental Biology, February 2016
DOI 10.3389/fcell.2016.00003
Pubmed ID
Authors

Agnès Hovasse, Odile Bruneel, Corinne Casiot, Angélique Desoeuvre, Julien Farasin, Marina Hery, Alain Van Dorsselaer, Christine Carapito, Florence Arsène-Ploetze

Abstract

The acid mine drainage (AMD) impacted creek of the Carnoulès mine (Southern France) is characterized by acid waters with a high heavy metal content. The microbial community inhabiting this AMD was extensively studied using isolation, metagenomic and metaproteomic methods, and the results showed that a natural arsenic (and iron) attenuation process involving the arsenite oxidase activity of several Thiomonas strains occurs at this site. A sensitive quantitative Selected Reaction Monitoring (SRM)-based proteomic approach was developed for detecting and quantifying the two subunits of the arsenite oxidase and RpoA of two different Thiomonas groups. Using this approach combined with FISH and pyrosequencing-based 16S rRNA gene sequence analysis, it was established here for the first time that these Thiomonas strains are ubiquitously present in minor proportions in this AMD and that they express the key enzymes involved in natural remediation processes at various locations and time points. In addition to these findings, this study also confirms that targeted proteomics applied at the community level can be used to detect weakly abundant proteins in situ.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 5 17%
Student > Bachelor 4 14%
Student > Postgraduate 2 7%
Professor > Associate Professor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Environmental Science 6 21%
Biochemistry, Genetics and Molecular Biology 5 17%
Agricultural and Biological Sciences 3 10%
Engineering 3 10%
Computer Science 2 7%
Other 1 3%
Unknown 9 31%
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 08 February 2016.
All research outputs
#20,879,072
of 23,498,099 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,298
of 9,389 outputs
Outputs of similar age
#337,164
of 400,575 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#28
of 28 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,389 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.