Home | Kontakt | Sitemap | Login | EN | Diese Seite drucken | | PDA-optimierte Ansicht

Mathematisch-naturwissenschaftliche Fakultät

Studium
Forschung
Öffentlichkeit
Über uns
Services
Schulangebote
Science Alumni
Intranet 

News-Detailansicht

09.05.2014 14:14

A new approach to study evolution in action on short evolutionary time scales


Network analysis based on “big data” is transforming fields as different as sociology and biochemistry, but it has had less impact in genetics and genomics. Here Andreas Wagner from the Institute of Evolutionary Biology and Environmental Studies at the UZH shows how network analysis can help understand the evolutionary forces acting on a protein important for influenza’ s ability to infect the human host and evade its immune system.

A network of genotypes formed by this gene reveals an unusual pattern of convergent evolution, which indicates mutation-limited evolution, that is, a long waiting time for beneficial mutations that may help the virus evade the immune system. These and several other patterns of network organization show that network analysis provides a new way of studying evolution in action on short evolutionary time scales.

Further reading:
Andreas Wagner, A genotype network reveals homoplastic cycles of convergent evolution in influenza A (H3N2) haemagglutinin. Proceedings of the Royal Society B, http://dx.doi.org/10.1098/rspb.2013.2763

Contact:
Prof. Andreas Wagner
University of Zurich
Institute of Evolutionary Biology
and Environmental Studies
Winterthurerstr. 190
CH-8057 Zurich

Phone: +41 44 635 61 41
Email andreas.wagner (at) ieu.uzh.ch


MNF auf Social Media