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Seminar: Invasive species, and the secrets they can teach us about the genetics of local adaptation

August 4, 2023 @ 12:00 pm – 1:00 pm
In-person hub: Benham seminar room (B215)
Priscila Salloum

Department of Zoology Friday Seminar:  4th August, 12:00pm, Zoom

Invasive species, and the secrets they can teach us about the genetics of local adaptation.

Katarina Stuart (School of Biological Sciences, University of Auckland)

Invasive species present an invaluable opportunity to explore how organisms may cope with dramatic environmental shifts. Invasive species are introduced to new ranges, and must quickly respond to the new selection pressures in a process termed ‘rapid adaptation.’ At the same time, invasive species often undergo a genetic bottlenecking during translocation, which may cause a reduction of diversity in the population due to a loss of rare genetic variants. By studying the genetic shifts invasive populations have undergone, we may begin to understand better how genetic diversity supports a population’s ability to survive. In particular, ongoing developments in sequencing and analytical tools are enabling more comprehensive characterization of diverse components of genetic diversity present in natural populations. Here, we examine the invasion story of a well known avian pest, the common myna (Acridotheres tristis). Using whole genome resequencing we explore the impacts of successive bottlenecks on genomics variation, comparing patterns across a diverse range of different genetic variants, which include single nucleotide polymorphisms, structural variants, and transposable elements. With such data, we hope to better understand how components of genetic variation contribute to adaptive potential in an invasive population, as this has important implications not just in invasive species management and forecasting, but also in conservation efforts focused on vulnerable and managed native species.

Friday 4th August, 12:00pm

In-person hub: Benham seminar room (B215)

Zoom link:

Meeting ID: 978 9088 2533

Password: 798823

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