Name SUYAMA Yoshihisa
Affiliation Professor
Tel +81-229-84-7359
Fax +81-229-84-6490
Mail suyama* (Please replace * with @)
Research Interest Forest molecular ecology, Conservation Genomics
Career BSc, College of Agriculture and Forestry, Univ. of Tsukuba (1987); Ph.D., Graduate School of Agricultural Sciences, Univ. of Tsukuba (1992) Research Experience: Postdoctoral fellow, Forestry and Forest Products Research Institute (1992–1995); Research Associate, Institute of Biological Sciences, Univ. of Tsukuba (1996–1999); Assistant Prof. (1999–2003), Associate Prof. (2003–2020), Prof. (2021–), Graduate School of Agricultural Science, Tohoku Univ.
Research map
Research Projects

I have been conducting research on forest molecular ecology for the conservation and genetic diversity of the world’s forest plants and endangered species. Through these efforts, I would like to understand the ecology and diversity of living organisms left in the world and build the next generation that coexists with its richness.

<Research Theme>

1) Conservation Genomics: population genomic analysis for conservation of endangered species

2) Molecular Phylogenetics: comprehensive distribution survey and DNA analysis for global biodiversity conservation

3) Population Genomics and Molecular Phylogeography: population genomic analysis for conservation of local genetic diversity

4) Development of Next-generation DNA Analysis Methods: highly accurate DNA identification for protecting the rights of cultivar breeders

Research Seeds

New next-generation DNA sequencing method for molecular phylogenetic analysis

The MIG-seq method (Suyama & Matsuki 2015), a new genome-wide DNA sequence analysis method, can be used for population genetics, phylogenetics as well as identification of individual organisms, populations, species. In 2022, we improved this method and developed a method to easily acquire the sequence information of multiple molecular phylogenetic markers by next-generation sequencing technology, and published these as complementary combination technologies (Suyama et al. 2002).