↓ Skip to main content

The effect of metabolic stress on genome stability of a synthetic biology chassis Escherichia coli K12 strain

Overview of attention for article published in Microbial Cell Factories, January 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 1,370)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

twitter
32 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The effect of metabolic stress on genome stability of a synthetic biology chassis Escherichia coli K12 strain
Published in
Microbial Cell Factories, January 2018
DOI 10.1186/s12934-018-0858-2
Pubmed ID
Authors

Jillian M. Couto, Anne McGarrity, Julie Russell, William T. Sloan

Abstract

Synthetic organism-based biotechnologies are increasingly being proposed for environmental applications, such as in situ sensing. Typically, the novel function of these organisms is delivered by compiling genetic fragments in the genome of a chassis organism. To behave predictably, these chassis are designed with reduced genomes that minimize biological complexity. However, in these proposed applications it is expected that even when contained within a device, organisms will be exposed to fluctuating, often stressful, conditions and it is not clear whether their genomes will retain stability. Here we employed a chemostat design which enabled us to maintained two strains of E. coli K12 under sustained starvation stress: first the reduced genome synthetic biology chassis MDS42 and then, the control parent strain MG1655. We estimated mutation rates and utilised them as indicators of an increase in genome instability. We show that within 24 h the spontaneous mutation rate had increased similarly in both strains, destabilizing the genomes. High rates were maintained for the duration of the experiment. Growth rates of a cohort of randomly sampled mutants from both strains were utilized as a proxy for emerging phenotypic, and by association genetic variation. Mutant growth rates were consistently less than rates in non-mutants, an indicator of reduced fitness and the presence of mildly deleterious mutations in both the strains. In addition, the effect of these mutations on the populations as a whole varied by strain. Overall, this study shows that genome reductions in the MDS42 did not stabilize the chassis under metabolic stress. Over time, this could compromise the effectiveness of synthetic organisms built on chassis in environmental applications.

Twitter Demographics

The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 31%
Student > Master 9 17%
Researcher 5 10%
Student > Bachelor 4 8%
Professor > Associate Professor 2 4%
Other 4 8%
Unknown 12 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 33%
Agricultural and Biological Sciences 9 17%
Engineering 5 10%
Chemical Engineering 3 6%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 14 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 29 November 2020.
All research outputs
#1,389,678
of 19,519,615 outputs
Outputs from Microbial Cell Factories
#29
of 1,370 outputs
Outputs of similar age
#39,182
of 387,050 outputs
Outputs of similar age from Microbial Cell Factories
#1
of 1 outputs
Altmetric has tracked 19,519,615 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,370 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 97% 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 387,050 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them