Title |
The relationship between the hierarchical position of proteins in the human signal transduction network and their rate of evolution
|
---|---|
Published in |
BMC Ecology and Evolution, September 2012
|
DOI | 10.1186/1471-2148-12-192 |
Pubmed ID | |
Authors |
David Alvarez-Ponce |
Abstract |
Proteins evolve at disparate rates, as a result of the action of different types and strengths of evolutionary forces. An open question in evolutionary biology is what factors are responsible for this variability. In general, proteins whose function has a great impact on organisms' fitness are expected to evolve under stronger selective pressures. In biosynthetic pathways, upstream genes usually evolve under higher levels of selective constraint than those acting at the downstream part, as a result of their higher hierarchical position. Similar observations have been made in transcriptional regulatory networks, whose upstream elements appear to be more essential and subject to selection. Less well understood is, however, how selective pressures distribute along signal transduction pathways. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Netherlands | 1 | 2% |
Unknown | 51 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 28% |
Student > Ph. D. Student | 13 | 25% |
Professor > Associate Professor | 6 | 11% |
Professor | 4 | 8% |
Student > Postgraduate | 4 | 8% |
Other | 7 | 13% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 66% |
Biochemistry, Genetics and Molecular Biology | 8 | 15% |
Environmental Science | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Computer Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 6 | 11% |