Genomic architecture and repeatability of rapid local adaptation — ASN Events

Genomic architecture and repeatability of rapid local adaptation (#220)

Lotte A van Boheemen 1 , Kristin Nurkowski 1 , Loren H Rieseberg 2 , Kathryn A Hodgins 1
  1. School of Biological Sciences, Monash University, Clayton, VIC, Australia
  2. Department of Botany, University of British Columbia , Vancouver, British Columbia, Canada

In the light of recent and ongoing anthropogenic disturbance it becomes increasingly important to understand how species respond and adapt to environmental change. However, the genomic basis underlying rapid local adaptation still remains largely unclear. Recent advances in sequencing technology make it possible and affordable to preform large-scale analyses in non-model species. Invasive species are able to thrive in novel environments and are thus an excellent system to study rapid local adaptation. During this project we aim to gain insight into adaptive changes in genomic architecture and the repeatability of these changes. We will use the invasive plant annual ragweed (Ambrosia artemisiifolia) as a study system. This species is native to North America, but has been introduced to Europe and Australia. We have collected samples along a latitudinal gradient in North America, Europe and Australia. We have genotyped 384 individuals from Europe and North America using genotype-by-sequencing (GBS) and genotypes from Australia will be forthcoming. We have used these data to uncover the population structure and re-construct invasion history in the introduced range. Following this, we will use common gardens experiments and SNP genotyping to perform allele-trait and environment-allele associations. By examining the adaptive genomic diversity within and between native and introduced populations, we hope to improve our understanding of the genomic architecture of adaptation. Results from this study will enrich our comprehension of fundamental evolutionary processes, as well as providing a tool for predicting species responses to environmental change.