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The Evolution of Two-Component Systems in Bacteria Reveals Different Strategies for Niche Adaptation

Overview of attention for article published in PLoS Computational Biology, November 2006
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Title
The Evolution of Two-Component Systems in Bacteria Reveals Different Strategies for Niche Adaptation
Published in
PLoS Computational Biology, November 2006
DOI 10.1371/journal.pcbi.0020143
Pubmed ID
Authors

Eric Alm, Katherine Huang, Adam Arkin

Abstract

Two-component systems including histidine protein kinases represent the primary signal transduction paradigm in prokaryotic organisms. To understand how these systems adapt to allow organisms to detect niche-specific signals, we analyzed the phylogenetic distribution of nearly 5,000 histidine protein kinases from 207 sequenced prokaryotic genomes. We found that many genomes carry a large repertoire of recently evolved signaling genes, which may reflect selective pressure to adapt to new environmental conditions. Both lineage-specific gene family expansion and horizontal gene transfer play major roles in the introduction of new histidine kinases into genomes; however, there are differences in how these two evolutionary forces act. Genes imported via horizontal transfer are more likely to retain their original functionality as inferred from a similar complement of signaling domains, while gene family expansion accompanied by domain shuffling appears to be a major source of novel genetic diversity. Family expansion is the dominant source of new histidine kinase genes in the genomes most enriched in signaling proteins, and detailed analysis reveals that divergence in domain structure and changes in expression patterns are hallmarks of recent expansions. Finally, while these two modes of gene acquisition are widespread across bacterial taxa, there are clear species-specific preferences for which mode is used.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
United Kingdom 3 1%
Canada 2 <1%
Switzerland 1 <1%
France 1 <1%
Italy 1 <1%
Portugal 1 <1%
Ireland 1 <1%
China 1 <1%
Other 3 1%
Unknown 250 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 31%
Researcher 47 17%
Student > Master 34 12%
Professor > Associate Professor 24 9%
Student > Bachelor 22 8%
Other 40 14%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 144 52%
Biochemistry, Genetics and Molecular Biology 62 22%
Immunology and Microbiology 11 4%
Environmental Science 7 3%
Medicine and Dentistry 5 2%
Other 22 8%
Unknown 27 10%