Title |
The Coevolution of Genes and Genetic Codes: Crick’s Frozen Accident Revisited
|
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Published in |
Journal of Molecular Evolution, July 2006
|
DOI | 10.1007/s00239-004-0176-7 |
Pubmed ID | |
Authors |
Guy Sella, David H. Ardell |
Abstract |
The standard genetic code is the nearly universal system for the translation of genes into proteins. The code exhibits two salient structural characteristics: it possesses a distinct organization that makes it extremely robust to errors in replication and translation, and it is highly redundant. The origin of these properties has intrigued researchers since the code was first discovered. One suggestion, which is the subject of this review, is that the code's organization is the outcome of the coevolution of genes and genetic codes. In 1968, Francis Crick explored the possible implications of coevolution at different stages of code evolution. Although he argues that coevolution was likely to influence the evolution of the code, he concludes that it falls short of explaining the organization of the code we see today. The recent application of mathematical modeling to study the effects of errors on the course of coevolution, suggests a different conclusion. It shows that coevolution readily generates genetic codes that are highly redundant and similar in their error-correcting organization to the standard code. We review this recent work and suggest that further affirmation of the role of coevolution can be attained by investigating the extent to which the outcome of coevolution is robust to other influences that were present during the evolution of the code. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 5% |
United States | 2 | 2% |
Norway | 1 | 1% |
Hong Kong | 1 | 1% |
Netherlands | 1 | 1% |
Brazil | 1 | 1% |
Germany | 1 | 1% |
Egypt | 1 | 1% |
Canada | 1 | 1% |
Other | 0 | 0% |
Unknown | 69 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 37% |
Researcher | 10 | 12% |
Professor > Associate Professor | 8 | 10% |
Student > Master | 7 | 9% |
Student > Bachelor | 6 | 7% |
Other | 18 | 22% |
Unknown | 3 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 38% |
Biochemistry, Genetics and Molecular Biology | 19 | 23% |
Chemistry | 7 | 9% |
Earth and Planetary Sciences | 6 | 7% |
Computer Science | 4 | 5% |
Other | 12 | 15% |
Unknown | 3 | 4% |