↓ Skip to main content

An extension of the coevolution theory of the origin of the genetic code

Overview of attention for article published in Biology Direct, September 2008
Altmetric Badge

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An extension of the coevolution theory of the origin of the genetic code
Published in
Biology Direct, September 2008
DOI 10.1186/1745-6150-3-37
Pubmed ID
Authors

Massimo Di Giulio

Abstract

The coevolution theory of the origin of the genetic code suggests that the genetic code is an imprint of the biosynthetic relationships between amino acids. However, this theory does not seem to attribute a role to the biosynthetic relationships between the earliest amino acids that evolved along the pathways of energetic metabolism. As a result, the coevolution theory is unable to clearly define the very earliest phases of genetic code origin. In order to remove this difficulty, I here suggest an extension of the coevolution theory that attributes a crucial role to the first amino acids that evolved along these biosynthetic pathways and to their biosynthetic relationships, even when defined by the non-amino acid molecules that are their precursors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 2 3%
Pakistan 1 1%
Italy 1 1%
Turkey 1 1%
Hong Kong 1 1%
United Kingdom 1 1%
Croatia 1 1%
Unknown 62 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 12 17%
Student > Master 9 13%
Professor > Associate Professor 7 10%
Student > Bachelor 6 8%
Other 16 22%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 46%
Biochemistry, Genetics and Molecular Biology 12 17%
Chemistry 4 6%
Medicine and Dentistry 3 4%
Physics and Astronomy 3 4%
Other 9 13%
Unknown 8 11%