Application of Game Theory to Explore the Dynamics of Host-Pathogen Association in Phytobiomes Academic Article uri icon


  • Recent advances in sequencing technology and big data analytics are moving plant pathology into a new era where we are now pursuing a deeper systems-level understanding of hostpathogen associations. For past several decades, scientists have predominantly tried to delineate and streamline these interactions into single pathogensingle host model systems, using reductionist experimental approaches. As many of us are aware, there have been several significant proposed ideas and models to help simplify and conceptualize the complex nature of associations that occur between plants and pathogens. However, equipped with vastly improved technology we now have opportunities to further explore multicomponent hostpathogen associations as well as microbemicrobe associations in phytobiomes and agroecosystems. Here, we would like to share our perspective on how game theory concepts could be adopted to study the dynamics of complex phytobiomes and to help us gain fresh and transformative insight. [Formula: see text] Copyright 2018 The Author(s). This is an open-access article distributed under the CC BY-NC-ND 4.0 International license .

published proceedings


altmetric score

  • 8.3

author list (cited authors)

  • Kim, M. S., Zhang, H., & Shim, W. B.

citation count

  • 4

complete list of authors

  • Kim, Man S||Zhang, Huan||Shim, Won Bo

publication date

  • January 2018