I am a Senior Researcher in the Forest Molecular Genetics (FMG) programme, working towards empowering genomic breeding through data science. I am involved in various trans-disciplinary projects related to molecular breeding, statistical genomics, and systems genetics. My analytical background and training as a Bioinformaticist have led to an interest in data science and machine learning. My primary interest lies in Pine genomics, fueled by the opportunity I had to play a critical role in developing a SNP array for tropical pines in 2020. I have the privilege of working closely with our industry partners, with York Timbers, Sappi, and Mondi playing significant roles.

Our team aims to answer the following fundamental questions in tree genomics and molecular breeding: What is the extent of genetic diversity in tropical pines in South Africa? How does this genetic diversity affect tree growth, development, and defense? How can we use this information to accelerate tree improvement through genome-assisted breeding and predictive breeding? To implement genome-assisted breeding, our strategy includes the following components:

1. Establishing a genome diversity atlas of the tropical pines planted in South Africa.
2. Sequencing the megagenome of tropical pines to uncover growth and wood development genes.
3. Developing genomic selection pipelines and machine learning models for predictive breeding.
4. Integrating environmental data towards a landscape genomics model for Pinus patula.
5. Expanding and improving TIMMBR (Tree Information Management and Molecular Breeding Resource), our database and user interface, to manage, interact with, and integrate different layers of data.

YouTube videos: 

• A genome-wide 50K SNP chip for tropical pine tree species
• FSA Women in Science profile: Nanette Christie