| Title |
The Evolutionary Origin of Biological Function and Complexity
|
|---|---|
| Published in |
Journal of Molecular Evolution, March 2013
|
| DOI | 10.1007/s00239-013-9556-1 |
| Pubmed ID | |
| Authors |
Addy Pross |
| Abstract |
The identification of dynamic kinetic stability (DKS) as a stability kind that governs the evolutionary process for both chemical and biological replicators, opens up new avenues for uncovering the chemical basis of biological phenomena. In this paper, we utilize the DKS concept to explore the chemical roots of two of biology's central concepts--function and complexity. It is found that the selection rule in the world of persistent replicating systems--from DKS less stable to DKS more stable--is the operational law whose very existence leads to the creation of function from of a world initially devoid of function. The origin of biological complexity is found to be directly related to the origin of function through an underlying connection between the two phenomena. Thus the emergence of both function and complexity during abiogenesis, and their growing expression during biological evolution, are found to be governed by the same single driving force, the drive toward greater DKS. It is reaffirmed that the essence of biological phenomena can be best revealed by uncovering biology's chemical roots, by elucidating the physicochemical principles that governed the process by which life on earth emerged from inanimate matter. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Netherlands | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Italy | 1 | 2% |
| Japan | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 55 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 28% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 9 | 15% |
| Professor | 5 | 8% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 37% |
| Chemistry | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Physics and Astronomy | 4 | 7% |
| Computer Science | 2 | 3% |
| Other | 10 | 17% |
| Unknown | 8 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from Journal of Molecular Evolution
#1,148
of 1,435 outputs
Outputs of similar age
#123,588
of 197,462 outputs
Outputs of similar age from Journal of Molecular Evolution
#5
of 9 outputs
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So far Altmetric has tracked 1,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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