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Optimization of Gene Expression through Divergent Mutational Paths

Overview of attention for article published in Cell Reports, February 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 X user
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3 patents

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93 Mendeley
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Article details
Title
Optimization of Gene Expression through Divergent Mutational Paths
Published in
Cell Reports, February 2012
DOI 10.1016/j.celrep.2011.12.003
Pubmed ID
Authors
Abstract

Adaptation under similar selective pressure often leads to comparable phenotypes. A longstanding question is whether such phenotypic repeatability entails similar (parallelism) or different genotypic changes (convergence). To better understand this, we characterized mutations that optimized expression of a plasmid-borne metabolic pathway during laboratory evolution of a bacterium. Expressing these pathway genes was essential for growth but came with substantial costs. Starting from overexpression, replicate populations founded by this bacterium all evolved to reduce expression. Despite this phenotypic repetitiveness, the underlying mutational spectrum was highly diverse. Analysis of these plasmid mutations identified three distinct means to modulate gene expression: (1) reducing the gene copy number, (2) lowering transcript stability, and (3) integration of the pathway-bearing plasmid into the host genome. Our study revealed diverse molecular changes beneath convergence to a simple phenotype. This complex genotype-phenotype mapping presents a challenge to inferring genetic evolution based solely on phenotypic changes.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 4%
Mexico 2 2%
Belgium 2 2%
Portugal 1 1%
Germany 1 1%
China 1 1%
Canada 1 1%
Unknown 81 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 30%
Researcher 18 19%
Student > Master 17 18%
Student > Doctoral Student 6 6%
Student > Bachelor 5 5%
Other 8 9%
Unknown 11 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 54 58%
Biochemistry, Genetics and Molecular Biology 13 14%
Medicine and Dentistry 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Computer Science 2 2%
Other 8 9%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 February 2021.
All research outputs
#4,439,312
of 31,346,776 outputs
Outputs from Cell Reports
#7,924
of 15,817 outputs
Outputs of similar age
#32,384
of 283,705 outputs
Outputs of similar age from Cell Reports
#6
of 24 outputs
Altmetric has tracked 31,346,776 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 49th percentile – i.e., 49% 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 283,705 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 88% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.