Evidence for adaptive evolution towards high magnetic sensitivity of potential magnetoreceptor in songbirds
Langebrake, C.; Manthey, G.; Frederiksen, A.; Lugo Ramos, J. S.; Dutheil, J. Y.; Chetverikova, R.; Solov'yov, I.; Mouritsen, H.; Liedvogel, M.
Show abstract
Migratory birds possess remarkable accuracy in orientation and navigation, which involves various compass systems including the magnetic compass. Identifying the primary magnetosensor remains a fundamental open question. Cryptochromes (Cry) have been shown to be magnetically sensitive, specifically Cry4 shows enhanced magnetic sensitivity in migratory songbirds compared to resident species. Here, we investigate cryptochromes and their potential involvement in magnetoreception in a phylogenetic framework, integrating molecular evolutionary analyses with protein dynamics modeling. We base our analysis on 363 bird genomes and associate different selection regimes with migratory behaviour. We show that Cry4 is characterized by strong positive selection and high variability, typical characteristics of sensor proteins. We identify key sites that likely facilitated the evolution of a highly optimized sensory protein for night time compass orientation in songbirds and a potential functional shift or specialisation. Additionally, we show that Cry4 was lost in hummingbirds, parrots and Tyranni (Suboscines) and thus identified a natural comparative gene knockout, which can be used to test the function of Cry4 in birds. In contrast, the other two cryptochromes Cry1 and Cry2, were highly conserved in all species, indicating basal, non-sensory functions. Our results strengthen the hypothesised role of Cry4 as sensor protein in (night)-migratory songbirds.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparative gene annotation and orthology assignments across 301 species of Drosophilidae 95%
- Eukaryotic antiviral immune proteins arose via convergence, horizontal transfer, and ancient inheritance 93%
- A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.