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Fast-Growing Engineered Microbes: New Concerns for Gain-of-Function Research?

Overview of attention for article published in Frontiers in Genetics, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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21 X users
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73 Mendeley
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Title
Fast-Growing Engineered Microbes: New Concerns for Gain-of-Function Research?
Published in
Frontiers in Genetics, June 2018
DOI 10.3389/fgene.2018.00207
Pubmed ID
Authors

Lei Pei, Markus Schmidt

Abstract

Research on fast-growing microbes holds promise for many industrial applications, including shortening test and trial times in research and development stages and reducing the operation costs for production. Such microbes can be obtained either by selecting naturally occurring variants or via metabolic engineering approaches, either eliminating 'unnecessary' or adding necessary pathways affecting growth speed in the cell. Here, we review recent research and development of engineered fast-growing strains in industrial biotechology, with a special focus on vaccine production using (synthetic biology) engineered pathogenic strains. We will discuss whether this represents a security concern and whether the industrial biotech sector needs to pay more attention to issues of Gain-of-Function (GoF) while developing and harnessing these fast-growing microbes. We will also shed a light on the use of in-built biosafety circuits as a way to control the propagation of fast-growing strains, including their capacity to survive in the environment. Other possible GoF concerns raised by the publication of research results in this field will be also addressed. In conclusion, judging from the current development from the field, assessing the potential GoF risks on engineered fast-growing microbes does not lead to a clear generalized outcome. We argue that fast growing strains need to be evaluated in combination with their wild type and engineered characteristics, and require always a case-by-case assessment. Monitoring the progress of the field and proactively raising awareness on the GoF issues among the scientists are important for the further development of the field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Master 11 15%
Student > Bachelor 11 15%
Researcher 7 10%
Other 6 8%
Other 8 11%
Unknown 19 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 32%
Agricultural and Biological Sciences 11 15%
Chemistry 3 4%
Environmental Science 2 3%
Mathematics 2 3%
Other 6 8%
Unknown 26 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 December 2023.
All research outputs
#3,025,128
of 25,403,829 outputs
Outputs from Frontiers in Genetics
#764
of 13,704 outputs
Outputs of similar age
#58,579
of 343,133 outputs
Outputs of similar age from Frontiers in Genetics
#15
of 138 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,704 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 94% 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 343,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.