Recruiting beneficairy: Centre for Ecological Research/Ökológiai Kutatóközpont, Hungary
Internal supervisors: Dr. József Garay, Dr. Ádám Kun
Brief project description: We shall develop models of multi-level selection, in which within-group competition and between-group competition are at odds. Individuals within a group face a social dilemma and their individual payoffs determine their within-group success. At the same time, the groups may also compete with each other, and cooperative individuals contribute more to the competition abilities of their group than selfish ones. We will investigate conditions that are conductive for the maximisation of the total payoff (welfare) of the group.
Updates: Nandakishor is developing mathematical models by taking inspiration from biological examples of different types of symbiosis. He considers density-dependent, infinite, and structured populations in a game-theoretic and population dynamics approach. His work started with a generalized model to study the coevolutionary stability of a host-specific and obligate symbiont (mutualist or parasite) and its host. Along the same line, he extended his study to hypothesize the origin of eukaryotes as a symbiotic (cooperative) association. The step-by-step evolution of cooperative behavior in the context of eukaryogenesis (as a symbiotic merger) is the prime objective of his work. Modeling the growth rates of the involved populations using new methods is also one of his focuses. In general, Nandakishor works on understanding the fixation of the symbiotic entities as opposed to their free-living ancestors, where selection happens on two levels (multi-level selection).
Selected contributions:
Krishnan, N., Rózsa, L., Szilágyi & J., Garay, J. (2023). Coevolutionary stability of host-symbiont systems with mixed-mode transmission. Journal of Theoretical Biology.
Krishnan, N. (2024, July 15). Modelling the evolution of ectosymbiosis in the context of eukaryogenesis [Talk]. 9th Conference on Mathematical Models in Ecology and Evolution (MMEE 2024). Vienna, Austria.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the
Marie Skłodowska-Curie grant agreement number 955708.