Research Overview

Our research focuses mainly on the evolution of organisms using mathematical and computational approaches. The mathematical approach involves mathematical analyses of life phenomena and molecular and evolution using mathematical models, and the computational approach involves large-scale data analysis utilizing rapidly advancing computers and bioinformatics.

If you are interested in joining the graduate program and doing research with us, please contact us through email.  

Current Projects

We study the evolution of genes, genomes, and organisms using mathematical and computational approaches, including bioinformatics.

Dr. Tamura's research deals with theoretical studies of molecular evolution and molecular phylogenetics. He is currently working on molecular evolutionary methods such as divergence time estimation of changes in evolutionary rates using relax clocks, ancestral sequence reconstruction of DNA and proteins to predict pathogenic mutations, and other methods related to molecular evolutionary genetics. He also develops Molecular Evolutionary Genetics Analysis (MEGA) software for the community. In addition, he conducts evolutionary experiments on cold tolerance in Drosophila using laboratory populations.

Dr. Tachiki's work focuses on the analysis of evolutionary life history strategies using evolutionary game theory and population dynamics theories by constructing and analyzing mathematical models.

Staff Highlight

Dr. Koichiro Tamura (田村 浩一郎) Professor	Dr. Yuuya Tachiki  (立木 佑弥) Assistant Professor
Email:
ktamura[at]tmu.ac.jp	tachiki[at]tmu.ac.jp
Read more:
(Researchgate Profile) (ResearchMap Profile) (TMU Faculty Profile (Japanese)) (Research Website)	(Researchgate Profile) (ResearchMap Profile) (TMU Faculty Profile (Japanese))
Lab Information: Department Laboratory Page  (Japanese)

Recent Publications

1. An age‐stage structured population model for the coexistence of alternative migratory tactics in salmonid fishes 

Jun‐nosuke Horita, Takenori Takada, Yuuya Tachiki. Population Ecology, 67(1), 45-46, Jan 2025

2. Skeleton phylogeny reconstructed with transcriptomes for the tribe Drosophilini (Diptera: Drosophilidae) 

Yosuke Seto, Yuma Iwasaki, Yoshitaka Ogawa, Koichiro Tamura, Masanori J. Toda. Molecular Phylogenetics and 

Evolution, 191(107978), Feb, 2024 

3. The eco-evolutionary dynamics of Batesian mimicry 

Haruto Tomizuka, Yuuya Tachiki. Journal of Theoretical Biology, 577 111683-111683, Jan 2024

4. eDNA metabarcoding analysis reveals the consequence of creating ecosystem-scale refugia from deer grazing for the soil microbial communities 

Kohmei Kadowaki, Mie N. Honjo, Naoto Nakamura, Yoichiro Kitagawa, Masae I. Ishihara, Shunsuke Matsuoka, Yuuya Tachiki,

Keitaro Fukushima, Shota Sakaguchi. Environmental DNA, 5(6) 1732-1742, Nov 2023

5. Computational reproducibility of molecular phylogenies 

Sudhir Kumar, Qiqing Tao, Alessandra P Lamarca, Koichiro Tamura. Molecular Biology and Evolution, 40(7) msad165, Jul 2023  

See more: (Google Scholar (Tamura)) (Google Scholar(Tachiki))

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