My research interests focus on the ecological and evolutionary processes that contribute to the formation and maintenance of species boundaries, and the application of this knowledge to enhance the recovery of species at risk. I co-lead the Conservation, Systematics and Evolution Research Team (ConSERT) at Te Whare Wānanga o Waitaha/University of Canterbury. In partnership with relevant Māori (Indigenous peoples of Aotearoa New Zealand) tribes (iwi or hapū) and in collaboration with conservation practitioners, we use genomic and non-genomic data to co-develop conservation genetic management strategies for some of Aotearoa New Zealand’s rarest taonga (treasured) species.
- Forsdick N., Adams C., Alexander A., Clark A., Collier-Robinson L., Cubrinovska I., Croll Dowgray M., Dowle E., Duntsch L. and Galla S. (2022) Current applications and future promise of genetic/genomic data for conservation in an Aotearoa New Zealand context. Science for conservation (Wellington).
- Galla SJ., Brown L., Couch-Lewis Ngāi Tahu Te Hapū O Ngāti Wheke Ngāti Waewae Y., Cubrinovska I., Eason D., Gooley RM., Hamilton JA., Heath JA., Hauser SS. and Latch EK. (2022) The relevance of pedigrees in the conservation genomics era. Molecular ecology 31(1): 41-54. http://dx.doi.org/10.1111/mec.16192.
- Hauser SS., Galla SJ., Putnam AS., Steeves TE. and Latch EK. (2022) Comparing genome-based estimates of relatedness for use in pedigree-based conservation management. Molecular Ecology Resources http://dx.doi.org/10.1111/1755-0998.13630.
- Magid M., Wold JR., Moraga R., Cubrinovska I., Houston DM., Gartrell BD. and Steeves TE. (2022) Leveraging an existing whole-genome resequencing population data set to characterize toll-like receptor gene diversity in a threatened bird. Molecular Ecology Resources http://dx.doi.org/10.1111/1755-0998.13656.
- Rayne A., Blair S., Dale M., Flack B., Hollows J., Moraga R., Parata RN., Rupene M., Tamati-Elliffe P. and Wehi PM. (2022) Weaving place-based knowledge for culturally significant species in the age of genomics: Looking to the past to navigate the future. Evolutionary Applications 15(5): 751-772. http://dx.doi.org/10.1111/eva.13367.
Research group: www.ucconsert.org