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A Genome-Scale Integration and Analysis of Lactococcus lactis Translation Data

Overview of attention for article published in PLoS Computational Biology, October 2013
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Title
A Genome-Scale Integration and Analysis of Lactococcus lactis Translation Data
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003240
Pubmed ID
Authors

Julien Racle, Flora Picard, Laurence Girbal, Muriel Cocaign-Bousquet, Vassily Hatzimanikatis

Abstract

Protein synthesis is a template polymerization process composed by three main steps: initiation, elongation, and termination. During translation, ribosomes are engaged into polysomes whose size is used for the quantitative characterization of translatome. However, simultaneous transcription and translation in the bacterial cytosol complicates the analysis of translatome data. We established a procedure for robust estimation of the ribosomal density in hundreds of genes from Lactococcus lactis polysome size measurements. We used a mechanistic model of translation to integrate the information about the ribosomal density and for the first time we estimated the protein synthesis rate for each gene and identified the rate limiting steps. Contrary to conventional considerations, we find significant number of genes to be elongation limited. This number increases during stress conditions compared to optimal growth and proteins synthesized at maximum rate are predominantly elongation limited. Consistent with bacterial physiology, we found proteins with similar rate and control characteristics belonging to the same functional categories. Under stress conditions, we found that synthesis rate of regulatory proteins is becoming comparable to proteins favored under optimal growth. These findings suggest that the coupling of metabolic states and protein synthesis is more important than previously thought.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 3 7%
Australia 2 5%
Sweden 2 5%
Netherlands 1 2%
Unknown 36 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 36%
Student > Ph. D. Student 10 23%
Student > Master 6 14%
Student > Bachelor 4 9%
Other 2 5%
Other 3 7%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 48%
Biochemistry, Genetics and Molecular Biology 10 23%
Chemistry 3 7%
Environmental Science 1 2%
Mathematics 1 2%
Other 4 9%
Unknown 4 9%