Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution

@article{Corel2016NetworkThinkingGT,
  title={Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution},
  author={Eduardo Corel and P. Lopez and R. M{\'e}heust and E. Bapteste},
  journal={Trends in Microbiology},
  year={2016},
  volume={24},
  pages={224 - 237}
}
  • Eduardo Corel, P. Lopez, +1 author E. Bapteste
  • Published 2016
  • Biology, Medicine
  • Trends in Microbiology
  • The tree model and tree-based methods have played a major, fruitful role in evolutionary studies. However, with the increasing realization of the quantitative and qualitative importance of reticulate evolutionary processes, affecting all levels of biological organization, complementary network-based models and methods are now flourishing, inviting evolutionary biology to experience a network-thinking era. We show how relatively recent comers in this field of study, that is, sequence-similarity… CONTINUE READING
    72 Citations

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution.
    • 2
    • PDF
    Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory
    • 12
    Bipartite Network Analysis of Gene Sharings in the Microbial World
    • 19
    • PDF
    A network perspective on the virus world
    • 25
    Should Networks Supplant Tree Building?

    References

    SHOWING 1-10 OF 109 REFERENCES
    Modular networks and cumulative impact of lateral transfer in prokaryote genome evolution
    • 333
    • PDF
    Extensive Gene Remodeling in the Viral World: New Evidence for Nongradual Evolution in the Mobilome Network
    • 25
    • PDF
    Network analyses structure genetic diversity in independent genetic worlds
    • 213
    • PDF
    EGN: a wizard for construction of gene and genome similarity networks
    • 44
    • PDF
    Gene similarity networks provide tools for understanding eukaryote origins and evolution
    • 59
    • PDF