Dr Anna Wensley Santure
2001 BSc(Hons), Mathematics and Genetics, University of Otago; 2006 PhD, Genetics, University of Otago
2017-Present Senior Lecturer, School of Biological Sciences, University of Auckland, Auckland, NZ
2013-2017 Lecturer, School of Biological Sciences, University of Auckland, Auckland, NZ
2009-2013 Postdoctoral researcher, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK
2006-2008 Postdoctoral researcher, Institute of Zoology, Zoological Society of London, London, UK
Research | Current
1. Genetic basis and evolution of quantitative traits
There has long been an interest in the genetic basis of continuous (or “quantitative”) characters such as height and weight. How many genes influence a trait, and how do these genes interact with each other and with the environment to produce a range of trait measurements? How does the genetic basis, or ‘architecture’, of these traits constrain or encourage their response to selection? I use large-scale genomic tools to dissect the genetic architecture of quantitative traits, particularly in wild populations, with the aim of understanding how the history of these populations (such as population size and selection) has determined the genetic architecture we see today, and might be used to predict how these populations will respond to future selection pressures such as anthropogenic climate change.
In my previous position at the University of Sheffield, UK, I was working with Prof Jon Slate on a 5 year European Research Council funded project investigating the evolutionary genetics of the great tit (Parus major) at Wytham Woods, Oxford. We have developed genomic tools to enable the dissection of the genetic basis of quantitative traits in the population, including life history traits such as clutch size, and morphological traits such as wing length and body size. This ongoing project helps us understand the processes and constraints on microevolutionary change in a classic long-term population study.
With Dr Patricia Brekke and Dr John Ewen I am currently analysing the genetic basis of morphological and life history traits in the hihi (stitchbird, Notiomystis cincta), an endangered New Zealand native bird, with the aim to understand the adaptive potential of the species and how it might respond to future selection pressures including climate change.
2. Genomic imprinting
Genes are imprinted when their expression depends on the sex of the parent passing them on. For example, the copy of a gene we inherit from mum might be expressed, while the copy that we inherit from dad is turned off. In collaboration with Prof Hamish Spencer, we have developed models for genomic imprinting on the X chromosome in mammals, and for how imprinting and maternal genetic effects influence quantitative traits. I am currently working on models and statistical techniques to dissect the influence of genomic imprinting on quantitative traits in wild populations, including the great tit.
3. Other interests
In addition, I have research interests in a broad range of other population and quantitative genetics and genomics, including population genetic and quantitative genetic theory, especially with regard to genomic imprinting and population differentiation, and the use of marker data to reconstruct pedigrees and describe population differentiation.
My research projects utilise genomics tools, including next generation sequencing, single nucleotide polymorphism (SNP) genotyping on high density arrays (“SNP chips”), and bioinformatics, along with statistical approaches such as quantitative trait locus (QTL) mapping and genome wide association scans (GWAS).
I am also interested in the continuing development of genomics resources in New Zealand, and have a special interest in conservation genetics (in particular, management of genetic diversity and the characterisation of phylogenetically unique New Zealand fauna).
Please get in touch if you are interested in developing a research project in any of my areas of interest!
Teaching | Current
I teach in BIOSCI 202 (Genetics), BIOSCI 351 (Molecular Genetics), BIOSCI 354 (Gene Expression and Gene Transfer) and BIOINF 704 (Statistical Bioinformatics). I am course coordinator for and teach in BIOSCI 210 (Evolution and the Origins of Life).
2016 Honours supervisor for Edwardo Reynolds (with Dr Matt Littlejohn)
2017 Honours supervisor for Phoebe Scherer
Scientific Committee member, Centre for Computational Evolution
Editor for Molecular Ecology Resources
Associate Editor for Molecular Ecology
Associate Editor for The Auk: Ornithological Advances
Areas of expertise
- Quantitative genetics
- Molecular ecology
- Ecology and evolution
- Population genetics
- Genomic imprinting
Selected publications and creative works (Research Outputs)
- Galla, S. J., Buckley, T. R., Elshire, R., Hale, M. L., Knapp, M., McCallum, J., ... Steeves, T. E. (2016). Building strong relationships between conservation genetics and primary industry leads to mutually beneficial genomic advances. Molecular Ecology, 25 (21), 5267-5281. 10.1111/mec.13837
Other University of Auckland co-authors: Thomas Buckley
- Santure, A. W. (2016). An ecological model organism flies into the genomics era. Molecular Ecology Resources, 16 (2), 379-381. 10.1111/1755-0998.12491
- Santure, A. W., Poissant, J., De Cauwer, I., van Oers, K., Robinson, M. R., Quinn, J. L., ... Slate, J. (2015). Replicated analysis of the genetic architecture of quantitative traits in two wild great tit populations. Molecular Ecology, 24 (24), 6148-6162. 10.1111/mec.13452
- Brekke, P., Ewen, J. G., Clucas, G., & Santure, A. W. (2015). Determinants of male floating behaviour and floater reproduction in a threatened population of the hihi (Notiomystis cincta). Evolutionary applications, 8 (8), 796-806. 10.1111/eva.12287
- Firth, J. A., Hadfield, J. D., Santure, A. W., Slate, J., & Sheldon, B. C. (2015). The influence of nonrandom extra-pair paternity on heritability estimates derived from wild pedigrees. Evolution, 69 (5), 1336-1344. 10.1111/evo.12649
- Stapley, J., Santure, A. W., & Dennis, S. R. (2015). Transposable elements as agents of rapid adaptation may explain the genetic paradox of invasive species. Molecular Ecology, 24 (9), 2241-2252. 10.1111/mec.13089
- Sepil, I., Radersma, R., Santure, A. W., De Cauwer, I., Slate, J., & Sheldon, B. C. (2015). No evidence for MHC class I-based disassortative mating in a wild population of great tits. Journal of Evolutionary Biology, 28 (3), 642-654. 10.1111/jeb.12600
- Gossmann, T. I., Santure, A. W., Sheldon, B. C., Slate, J., & Zeng, K. (2014). Highly variable recombinational landscape modulates efficacy of natural selection in birds. Genome Biology and Evolution, 6 (8), 2061-2075. 10.1093/gbe/evu157