Takahiro Sakamoto

Mitigating biases of rescaling in forward-in-time population genetic simulations

This study shows that biases in rescaling forward-in-time population genetic simulations can be reduced by using a different simulation algorithm.

A simulation-based method for genotype-environment association analysis

This paper introduces SimGEA, a simulation-based method for genotype-environment association analysis that controls false discovery rates while maintaining statistical power.

Spontaneous Emergence and Turnover of the Sex-Determining Locus

This study develops an evolutionary model showing how disruptive selection can lead to the spontaneous emergence of a sex-determining locus and sexual differentiation through gene regulatory networks.

Maintenance of polymorphism in spatially heterogeneous environments

The paper develops a theoretical method to analyze complex spatially heterogeneous population models and shows that high environmental spatial autocorrelation promotes the maintenance of locally adaptive alleles.

Establishment of a locally adaptive allele in multidimensional continuous space

This study develops a multidimensional continuous space model to analyze the establishment of local adaptation, showing how mutation and migration influence adaptation rates in spatially heterogeneous environments.

The persistence of locally adapted polymorphisms under mutation swamping

This paper develops a mathematical model to analyze how mutation swamping affects genetic architecture under varying mutation rates and selection pressures, finding a threshold mutation rate range of 10^-3 to 10^-2.