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Variability in subpopulation formation propagates into biocatalytic variability of engineered Pseudomonas putida strains

Overview of attention for article published in Frontiers in Microbiology, October 2015
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Title
Variability in subpopulation formation propagates into biocatalytic variability of engineered Pseudomonas putida strains
Published in
Frontiers in Microbiology, October 2015
DOI 10.3389/fmicb.2015.01042
Pubmed ID
Authors

Martin Lindmeyer, Michael Jahn, Carsten Vorpahl, Susann Müller, Andreas Schmid, Bruno Bühler

Abstract

Pivotal challenges in industrial biotechnology are the identification and overcoming of cell-to-cell heterogeneity in microbial processes. While the development of subpopulations of isogenic cells in bioprocesses is well described (intra-population variability), a possible variability between genetically identical cultures growing under macroscopically identical conditions (clonal variability) is not. A high such clonal variability has been found for the recombinant expression of the styrene monooxygenase genes styAB from Pseudomonas taiwanensis VLB120 in solvent-tolerant Pseudomonas putida DOT-T1E using the alk-regulatory system from P. putida GPo1. In this study, the oxygenase subunit StyA fused to eGFP was used as readout tool to characterize the population structure in P. putida DOT-T1E regarding recombinant protein content. Flow cytometric analyses revealed that in individual cultures, at least two subpopulations with highly differing recombinant StyA-eGFP protein contents appeared (intra-population variability). Interestingly, subpopulation sizes varied from culture-to-culture correlating with the specific styrene epoxidation activity of cells derived from respective cultures (clonal variability). In addition, flow cytometric cell sorting coupled to plasmid copy number (PCN) determination revealed that detected clonal variations cannot be correlated to the PCN, but depend on the combination of the regulatory system and the host strain employed. This is, to the best of our knowledge, the first work reporting that intra-population variability (with differing protein contents in the presented case study) causes clonal variability of genetically identical cultures. Respective impacts on bioprocess reliability and performance and strategies to overcome respective reliability issues are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Bachelor 5 14%
Student > Ph. D. Student 5 14%
Researcher 4 11%
Other 2 6%
Other 2 6%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 36%
Agricultural and Biological Sciences 4 11%
Environmental Science 2 6%
Chemical Engineering 1 3%
Business, Management and Accounting 1 3%
Other 3 8%
Unknown 12 33%
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 October 2015.
All research outputs
#14,826,358
of 22,829,683 outputs
Outputs from Frontiers in Microbiology
#13,803
of 24,800 outputs
Outputs of similar age
#151,709
of 274,923 outputs
Outputs of similar age from Frontiers in Microbiology
#213
of 430 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,800 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 274,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 430 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.