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The Emergence and Fate of Horizontally Acquired Genes in Escherichia coli

Overview of attention for article published in PLoS Computational Biology, April 2008
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Title
The Emergence and Fate of Horizontally Acquired Genes in Escherichia coli
Published in
PLoS Computational Biology, April 2008
DOI 10.1371/journal.pcbi.1000059
Pubmed ID
Authors

Mark W. J. van Passel, Pradeep Reddy Marri, Howard Ochman

Abstract

Bacterial species, and even strains within species, can vary greatly in their gene contents and metabolic capabilities. We examine the evolution of this diversity by assessing the distribution and ancestry of each gene in 13 sequenced isolates of Escherichia coli and Shigella. We focus on the emergence and demise of two specific classes of genes, ORFans (genes with no homologs in present databases) and HOPs (genes with distant homologs), since these genes, in contrast to most conserved ancestral sequences, are known to be a major source of the novel features in each strain. We find that the rates of gain and loss of these genes vary greatly among strains as well as through time, and that ORFans and HOPs show very different behavior with respect to their emergence and demise. Although HOPs, which mostly represent gene acquisitions from other bacteria, originate more frequently, ORFans are much more likely to persist. This difference suggests that many adaptive traits are conferred by completely novel genes that do not originate in other bacterial genomes. With respect to the demise of these acquired genes, we find that strains of Shigella lose genes, both by disruption events and by complete removal, at accelerated rates.

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Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
France 1 1%
United Kingdom 1 1%
Austria 1 1%
Mexico 1 1%
Canada 1 1%
Unknown 80 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 28%
Student > Ph. D. Student 22 24%
Professor 7 8%
Student > Master 7 8%
Student > Doctoral Student 6 7%
Other 14 16%
Unknown 9 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 64%
Biochemistry, Genetics and Molecular Biology 12 13%
Immunology and Microbiology 3 3%
Mathematics 2 2%
Environmental Science 1 1%
Other 4 4%
Unknown 10 11%