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Quantitative Monitoring of Microbial Species during Bioleaching of a Copper Concentrate

Overview of attention for article published in Frontiers in Microbiology, December 2016
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Title
Quantitative Monitoring of Microbial Species during Bioleaching of a Copper Concentrate
Published in
Frontiers in Microbiology, December 2016
DOI 10.3389/fmicb.2016.02044
Pubmed ID
Authors

Sabrina Hedrich, Anne-Gwenaëlle Guézennec, Mickaël Charron, Axel Schippers, Catherine Joulian

Abstract

Monitoring of the microbial community in bioleaching processes is essential in order to control process parameters and enhance the leaching efficiency. Suitable methods are, however, limited as they are usually not adapted to bioleaching samples and often no taxon-specific assays are available in the literature for these types of consortia. Therefore, our study focused on the development of novel quantitative real-time PCR (qPCR) assays for the quantification of Acidithiobacillus caldus, Leptospirillum ferriphilum, Sulfobacillus thermosulfidooxidans, and Sulfobacillus benefaciens and comparison of the results with data from other common molecular monitoring methods in order to evaluate their accuracy and specificity. Stirred tank bioreactors for the leaching of copper concentrate, housing a consortium of acidophilic, moderately thermophilic bacteria, relevant in several bioleaching operations, served as a model system. The microbial community analysis via qPCR allowed a precise monitoring of the evolution of total biomass as well as abundance of specific species. Data achieved by the standard fingerprinting methods, terminal restriction fragment length polymorphism (T-RFLP) and capillary electrophoresis single strand conformation polymorphism (CE-SSCP) on the same samples followed the same trend as qPCR data. The main added value of qPCR was, however, to provide quantitative data for each species whereas only relative abundance could be deduced from T-RFLP and CE-SSCP profiles. Additional value was obtained by applying two further quantitative methods which do not require nucleic acid extraction, total cell counting after SYBR Green staining and metal sulfide oxidation activity measurements via microcalorimetry. Overall, these complementary methods allow for an efficient quantitative microbial community monitoring in various bioleaching operations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Bachelor 11 15%
Student > Ph. D. Student 9 13%
Student > Master 7 10%
Student > Postgraduate 5 7%
Other 11 15%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 19%
Biochemistry, Genetics and Molecular Biology 13 18%
Environmental Science 10 14%
Engineering 6 8%
Chemical Engineering 3 4%
Other 7 10%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 December 2016.
All research outputs
#13,497,418
of 22,914,829 outputs
Outputs from Frontiers in Microbiology
#10,576
of 24,965 outputs
Outputs of similar age
#212,449
of 420,738 outputs
Outputs of similar age from Frontiers in Microbiology
#235
of 407 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,965 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 420,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.