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Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory

Overview of attention for article published in BMC Biology, May 2018
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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.

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Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%