Title |
Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory
|
---|---|
Published in |
BMC Biology, May 2018
|
DOI | 10.1186/s12915-018-0531-6 |
Pubmed ID | |
Authors |
Eric Bapteste, Philippe Huneman |
Abstract |
The classic Darwinian theory and the Synthetic evolutionary theory and their linear models, while invaluable to study the origins and evolution of species, are not primarily designed to model the evolution of organisations, typically that of ecosystems, nor that of processes. How could evolutionary theory better explain the evolution of biological complexity and diversity? Inclusive network-based analyses of dynamic systems could retrace interactions between (related or unrelated) components. This theoretical shift from a Tree of Life to a Dynamic Interaction Network of Life, which is supported by diverse molecular, cellular, microbiological, organismal, ecological and evolutionary studies, would further unify evolutionary biology. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 11% |
United States | 2 | 11% |
Argentina | 1 | 6% |
Japan | 1 | 6% |
France | 1 | 6% |
Unknown | 11 | 61% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 67% |
Scientists | 4 | 22% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Researcher | 14 | 17% |
Student > Master | 10 | 12% |
Student > Bachelor | 8 | 10% |
Professor | 4 | 5% |
Other | 8 | 10% |
Unknown | 18 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 33% |
Biochemistry, Genetics and Molecular Biology | 21 | 26% |
Immunology and Microbiology | 3 | 4% |
Environmental Science | 2 | 2% |
Philosophy | 1 | 1% |
Other | 5 | 6% |
Unknown | 23 | 28% |