ArticleFrontiers in cell and developmental biology2016
Spatio-Temporal Detection of the Thiomonas Population and the Thiomonas Arsenite Oxidase Involved in Natural Arsenite Attenuation Processes in the Carnoulès Acid Mine Drainage.
Article in Frontiers in cell and developmental biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 19 citations in OpenAlex.
- Microbial processes with the potential to mobilize As from a circumneutral-pH mixture of flotation and roaster tailings.Scientific reports · 2023Article
- Mixotrophic Iron-OxidizingApplied and environmental microbiology · 2020Article
- Nonferrous metal (loid) s mediate bacterial diversity in an abandoned mine tailing impoundment.Environmental science and pollution research international · 2019Article
- Dynamics of Bacterial Communities Mediating the Treatment of an As-Rich Acid Mine Drainage in a Field Pilot.Frontiers in microbiology · 2018Article
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9 authors at 3 institutions in 1 country.
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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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