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Flow cytometric quantification, sorting and sequencing of methanogenic archaea based on F420 autofluorescence

Overview of attention for article published in Microbial Cell Factories, October 2017
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Title
Flow cytometric quantification, sorting and sequencing of methanogenic archaea based on F420 autofluorescence
Published in
Microbial Cell Factories, October 2017
DOI 10.1186/s12934-017-0793-7
Pubmed ID
Authors

Johannes Lambrecht, Nicolas Cichocki, Thomas Hübschmann, Christin Koch, Hauke Harms, Susann Müller

Abstract

The widely established production of CH4 from renewable biomass in industrial scale anaerobic reactors may play a major role in the future energy supply. It relies on methanogenic archaea as key organisms which represent the bottleneck in the process. The quantitative analysis of these organisms can help to maximize process performance, uncover disturbances before failure, and may ultimately lead to community-based process control schemes. Existing qPCR and fluorescence microscopy-based methods are very attractive but can be cost-intensive and laborious. In this study we present an autofluorescence-based, flow cytometric method for the fast low-cost quantification of methanogenic archaea in complex microbial communities and crude substrates. The method was applied to a methanogenic enrichment culture (MEC) and digester samples (DS). The methanogenic archaea were quantified using the distinct fluorescence of their cofactor F420 in a range from 3.7 × 10(8) (± 3.3 × 10(6)) cells mL(-1) and 1.8 x 10(9) (± 1.1 × 10(8)) cells mL(-1). We evaluated different fixation methods and tested the sample stability. Stable abundance and fluorescence intensity were recorded up to 26 days during aerobic storage in PBS at 6 °C. The discrimination of the whole microbial community from the ubiquitous particle noise was facilitated by SYBR Green I staining and enabled calculation of relative abundances of methanogenic archaea of up to 9.64 ± 0.23% in the MEC and up to 4.43 ± 0.74% in the DS. The metaprofiling of the mcrA gene reinforced the results. The presented method allows for fast and reliable quantification of methanogenic archaea in microbial communities under authentic digester conditions and can thus be useful for process monitoring and control in biogas digesters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 24%
Student > Master 20 16%
Researcher 18 14%
Student > Bachelor 11 9%
Student > Doctoral Student 4 3%
Other 14 11%
Unknown 31 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 15%
Environmental Science 16 12%
Agricultural and Biological Sciences 15 12%
Engineering 15 12%
Immunology and Microbiology 9 7%
Other 15 12%
Unknown 40 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 01 November 2017.
All research outputs
#17,919,066
of 23,007,053 outputs
Outputs from Microbial Cell Factories
#1,136
of 1,612 outputs
Outputs of similar age
#235,061
of 328,606 outputs
Outputs of similar age from Microbial Cell Factories
#24
of 46 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 24th percentile – i.e., 24% 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 328,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.