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The spatial biology of transcription and translation in rapidly growing Escherichia coli

Overview of attention for article published in Frontiers in Microbiology, July 2015
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
The spatial biology of transcription and translation in rapidly growing Escherichia coli
Published in
Frontiers in Microbiology, July 2015
DOI 10.3389/fmicb.2015.00636
Pubmed ID
Authors

Somenath Bakshi, Heejun Choi, James C Weisshaar

Abstract

Single-molecule fluorescence provides high resolution spatial distributions of ribosomes and RNA polymerase (RNAP) in live, rapidly growing Escherichia coli. Ribosomes are more strongly segregated from the nucleoids (chromosomal DNA) than previous widefield fluorescence studies suggested. While most transcription may be co-translational, the evidence indicates that most translation occurs on free mRNA copies that have diffused from the nucleoids to a ribosome-rich region. Analysis of time-resolved images of the nucleoid spatial distribution after treatment with the transcription-halting drug rifampicin and the translation-halting drug chloramphenicol shows that both drugs cause nucleoid contraction on the 0-3 min timescale. This is consistent with the transertion hypothesis. We suggest that the longer-term (20-30 min) nucleoid expansion after Rif treatment arises from conversion of 70S-polysomes to 30S and 50S subunits, which readily penetrate the nucleoids. Monte Carlo simulations of a polymer bead model built to mimic the chromosomal DNA and ribosomes (either 70S-polysomes or 30S and 50S subunits) explain spatial segregation or mixing of ribosomes and nucleoids in terms of excluded volume and entropic effects alone. A comprehensive model of the transcription-translation-transertion system incorporates this new information about the spatial organization of the E. coli cytoplasm. We propose that transertion, which radially expands the nucleoids, is essential for recycling of 30S and 50S subunits from ribosome-rich regions back into the nucleoids. There they initiate co-transcriptional translation, which is an important mechanism for maintaining RNAP forward progress and protecting the nascent mRNA chain. Segregation of 70S-polysomes from the nucleoid may facilitate rapid growth by shortening the search time for ribosomes to find free mRNA concentrated outside the nucleoid and the search time for RNAP concentrated within the nucleoid to find transcription initiation sites.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
France 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 206 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 30%
Student > Bachelor 31 15%
Researcher 28 13%
Student > Master 18 9%
Student > Doctoral Student 10 5%
Other 29 14%
Unknown 31 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 30%
Biochemistry, Genetics and Molecular Biology 61 29%
Chemistry 13 6%
Physics and Astronomy 9 4%
Immunology and Microbiology 7 3%
Other 19 9%
Unknown 38 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 August 2016.
All research outputs
#12,929,609
of 22,816,807 outputs
Outputs from Frontiers in Microbiology
#9,230
of 24,772 outputs
Outputs of similar age
#116,243
of 263,464 outputs
Outputs of similar age from Frontiers in Microbiology
#137
of 367 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,772 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 61% 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 263,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.