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Genome-wide investigation of mRNA lifetime determinants in Escherichia coli cells cultured at different growth rates

Overview of attention for article published in BMC Genomics, April 2015
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Title
Genome-wide investigation of mRNA lifetime determinants in Escherichia coli cells cultured at different growth rates
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1482-8
Pubmed ID
Authors

Thomas Esquerré, Annick Moisan, Hélène Chiapello, Liisa Arike, Raivo Vilu, Christine Gaspin, Muriel Cocaign-Bousquet, Laurence Girbal

Abstract

Changes to mRNA lifetime adjust mRNA concentration, facilitating the adaptation of growth rate to changes in growth conditions. However, the mechanisms regulating mRNA lifetime are poorly understood at the genome-wide scale and have not been investigated in bacteria growing at different rates. We used linear covariance models and the best model selected according to the Akaike information criterion to identify and rank intrinsic and extrinsic general transcript parameters correlated with mRNA lifetime, using mRNA half-life datasets for E. coli, obtained at four growth rates. The principal parameter correlated with mRNA stability was mRNA concentration, the mRNAs most concentrated in the cells being the least stable. However, sequence-related features (codon adaptation index (CAI), ORF length, GC content, polycistronic mRNA), gene function and essentiality also affected mRNA lifetime at all growth rates. We also identified sequence motifs within the 5'UTRs potentially related to mRNA stability. Growth rate-dependent effects were confined to particular functional categories (e.g. carbohydrate and nucleotide metabolism). Finally, mRNA stability was less strongly correlated with the amount of protein produced than mRNA concentration and CAI. This study provides the most complete genome-wide analysis to date of the general factors correlated with mRNA lifetime in E. coli. We have generalized for the entire population of transcripts or excluded determinants previously defined as regulators of stability for some particular mRNAs and identified new, unexpected general indicators. These results will pave the way for discussions of the underlying mechanisms and their interaction with the growth physiology of bacteria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Sweden 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 34%
Researcher 8 15%
Student > Bachelor 5 9%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 47%
Agricultural and Biological Sciences 13 25%
Engineering 3 6%
Mathematics 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 May 2015.
All research outputs
#18,405,972
of 22,799,071 outputs
Outputs from BMC Genomics
#8,175
of 10,648 outputs
Outputs of similar age
#193,644
of 264,944 outputs
Outputs of similar age from BMC Genomics
#213
of 260 outputs
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