Kevin Parsons

Kevin Parsons (University of Glasgow) - Adaptive Divergence through the Lens of Evo-Devo: Case Studies in Fishes

4:00pm - 5:00pm / Tuesday 5th December 2017 / Venue: Lecture Theatre 1 Life Sciences Building
Type: Seminar / Category: Research / Series: BEEM Seminar
  • Suitable for: Staff and students with an interest in Behaviour, Evolution, Ecology and Microbiology
  • Admission: Free event
  • Add this event to my calendar

    When you click on "Add this event to my calendar" your browser will download an ics file.

    Microsoft Outlook: Download the file, then you may be able to click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open, then Import. Select "Import an iCalendar (.ic or vCalendar file (.vcs)" then click on Next. Find the .ics file and click on OK.

    Google Calendar: download the file, then go into your calendar. On the right where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import.

    Apple Calendar: download the file, then you can either drag it to Calendar or import the file by going to File > Import > Import and choosing the .ics file.

During the past two decades evolutionary biology has made tremendous strides in determining the genetic mechanisms that underlie adaptive divergence. The emergence of evo-devo during this time has so far been largely gene-centric but it has become increasingly clear that environmental variation plays a strong role in determining the development of adaptive variation. In this talk I will discuss how empirical research is revealing the complexities of genotype-phenotype interactions. I focus on examples of adaptive divergence in fishes where mechanisms of developmental variation have recently and are currently being explored. This includes investigations of several types of phenotypic plasticity with an aim toward understanding its developmental mechanisms. Such an approach can lead us towards an understanding of how variation arises and lead to insights that are both pure and applied.