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Phylosystemics: Merging Phylogenomics, Systems Biology, and Ecology to Study Evolution.
A K Watson1, M Habib2, E Bapteste1
1Institut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.
Trends in Microbiology
|December 2, 2019
Summary
Phylosystemics integrates systems biology, ecology, and evolutionary biology using network science. This approach reveals molecular process evolution and ecosystem interactions with evolutionary impacts.
Area of Science:
- Ecology
- Evolutionary Biology
- Systems Biology
- Network Science
Background:
- Traditional ecological and evolutionary studies operate on vastly different timescales.
- Systems biology and ecology generate interaction networks at shorter timescales.
- Evolutionary biology focuses on longer timescales.
Purpose of the Study:
- To introduce phylosystemics, a novel multidisciplinary strategy.
- To integrate short-timescale interaction data with long-timescale evolutionary data.
- To leverage network science methods for biological insights.
Main Methods:
- Superimposing evolutionary information onto interaction networks.
- Utilizing network science approaches.
- Developing multilayer temporal networks.
Main Results:
- Phylosystemics can infer and time the evolution of molecular processes within phylogenetic branches.
- It can analyze molecular evolution between common ancestors during major transitions.
- It enables the study of ecological interactions with evolutionary consequences.
Conclusions:
- Phylosystemics offers a powerful framework for unifying diverse biological data.
- This approach advances understanding of molecular evolution and ecosystem dynamics.
- It opens new avenues for exploring the interplay between ecology and evolution.
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