Research

Current projects

Haploid selection in gymnosperms

Also diploid organisms have life stages where some genes are expressed in a haploid manner. In these situations, natural selection can directly affect also recessive alleles. In this project, I will use Scots pine (Pinus sylvestris) seed tissues to investigate this phenomenon.

Adaptive breeding for productive, sustainable and resilient forests under climate change

As a part of B4EST Horizon 2020 project, we will develope new large scale genotyping tools for Scots pine. In addition, in collaboration with NERC and Luke we will delve into possibilities of genomic prediciton in Scots pine. We will also investigate the correlation among different resilience and growth rates nationally and by comparing Finnish and Scottish breeding and natural Scots pine populations.

Genomics of adaptation in Pinus sylvestris

Coniferous trees thrill me, because they are an important part of forest ecosystems of the northern hemisphere and they are often genetically adapted in their local environments yet not much is known about how different evolutionary forces affect their huge genomes. As a part of ProCoGen, our aim in University of Oulu is to use population level sampling and exome sequencing data to identify genetic variation underlying adaptation in Pinus sylvestris

Evolutionary genomics in Betula pendula

As a part of GenTree project, we are investigating genome wide patterns of variation in Betula pendula and other European forest trees.

Genomic and statistical analysis of genotype-phenotype relationships

In this project, together with Mikko Sillanpää and Outi Savolainen, we develop and apply new statistical methods for analysis of molecular (gene expression and genetic variation) data.

Genomic selection in northern Europan Pinus sylvestris

In a collaborative GenoWood project, led by Teemu Teeri (University of Helsinki), Outi Savolainen (University of Oulu), Katri Kärkkäinen (Luke) and Fred Asiegbu (University of Helsinki) we are developing methods and best practices for applying genomic prediction in Scots pine. In recently funded B4EST H2020 project, we are part of a European collaboration of bringing new genomic techniques into practive in forest tree breeding and management.

Last updated: 4.12.2018