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Nucleoid-Associated Proteins Affect Mutation Dynamics in E. coli in a Growth Phase-Specific Manner

Overview of attention for article published in PLoS Computational Biology, December 2012
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Title
Nucleoid-Associated Proteins Affect Mutation Dynamics in E. coli in a Growth Phase-Specific Manner
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002846
Pubmed ID
Authors

Tobias Warnecke, Fran Supek, Ben Lehner

Abstract

The binding of proteins can shield DNA from mutagenic processes but also interfere with efficient repair. How the presence of DNA-binding proteins shapes intra-genomic differences in mutability and, ultimately, sequence variation in natural populations, however, remains poorly understood. In this study, we examine sequence evolution in Escherichia coli in relation to the binding of four abundant nucleoid-associated proteins: Fis, H-NS, IhfA, and IhfB. We find that, for a subset of mutations, protein occupancy is associated with both increased and decreased mutability in the underlying sequence depending on when the protein is bound during the bacterial growth cycle. On average, protein-bound DNA exhibits reduced mutability compared to protein-free DNA. However, this net protective effect is weak and can be abolished or even reversed during stages of colony growth where binding coincides - and hence likely interferes with - DNA repair activity. We suggest that the four nucleoid-associated proteins analyzed here have played a minor but significant role in patterning extant sequence variation in E. coli.

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Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Netherlands 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 6 18%
Professor 6 18%
Professor > Associate Professor 3 9%
Student > Bachelor 3 9%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 53%
Agricultural and Biological Sciences 8 24%
Chemistry 2 6%
Unknown 6 18%