[8: Submitted] R. Iritani & M. Boots: Transmission among relatives can favor conditional host dispersal
[7: Submitted] B. Ashby, R. Iritani, A. Best, A. White, & M. Boots: A general framework for introducing density-dependence to frequency-dependent models of antagonistic coevolution
[6: To be submitted] R. Iritani, T. Sato, & M. Boots: Host manipulation by parasites: the switcher-enhancer paradigm for trophic transmission
 R. Iritani, E. Visher, & M. Boots (2018) “When parasites are selected to kill the young” BioRxiv 2018, https://doi.org/10.1101/324632
 R. Iritani & S. Noriyuki (2018; equal contribution; alphabetical order) “Reproductive interference hampers species coexistence despite conspecific sperm precedence” BioRxiv 2018, https://doi.org/10.1101/287482
 R. Iritani* & P.-O.Cheptou (2017) Joint evolution of differential seed dispersal and self-fertilization.
Journal of Evolutionary Biology. [doi]
- Some plants express “curious” seed dispersal strategy, named “differential seed dispersal”, with a specific dispersal rate for outcrossed and selfed progeny. The progress of our understanding in this phenomenon is a key to the distribution of selfing plant species, as dispersal directly determines the spatial structure of the species. We analyzed an adaptive dynamics model of joint evolution of selfing rate (using Lande & Schemske 1985) and seed dispersal (using Cheptou & Massol 2009) under pollen limitation, showing a rather complex association between these two traits. First, the dispersal for selfed seed is simply determined by the “home-vs-away” advantage. Second, outcrossed seeds are more likely to disperse when selfing rate is low (which we found is not a general pattern though; see Fig3 therein). Finally, selfing rate is subject to selection owing to pollen limitation, inbreeding depression, and surprisingly outcrossed seed dispersal rate. We found that, to distinguish the evolutionary consequences for selfing rate, the spatially harmonic mean and geometric mean of the competitive ability of outcrossed seeds give an excellent measure!
 R. Iritani* (2015) How parasite-mediated costs drive the evolution of disease state-dependent dispersal.
Ecological Complexity. [doi]
- My first single-author publication. I developed a mathematical model to predict how the dispersal bias among infected individuals and uninfected individuals can emerge as a result of selection on the whole dispersal process. This model would play a general key role when we are to measure dispersal bias when dispersal is conditional. There is a Key in Appendix: I applied a theorem of Karush-Kuhn-Tucker in convex analysis to prove the boundary singular strategy is evolutionarily stable strategy. This work is supported by JSPS.
 R. Iritani* & Y. Iwasa (2014) Parasite infection drives the evolution of state-dependent dispersal of the host.
Theoretical Population Biology. [doi]
- This is my first publication, that I was engaged in during master course. We used a neighbor-modulated approach and adaptive dynamics to investigate how the host dispersal might evolve under parasitism. The key parameters are recovery, selection against infected emigrants, and virulence. Surprisingly, high virulence favors high dispersal tendency in infected individuals. Below I show some of the comments that I received from reviewers. I really appreciate their sincere comments.
This manuscript is generally sound, gets around most of the biological details that help put it in proper context, and is quite well-written. I have some suggestions as to how to improve the manuscript, but the authors should consider them as improvements to an already good paper.
I fully support the publication of this work, but have some significant suggestions as to how the presentation could be improved
This work is partially supported by JSPS.