A little while ago we published a new manuscript on fitness costs on the bioRxiv. I’m very excited about this paper, because it is on a new topic for me (fitness costs) and we found some exciting results (for example, I never expected to find that CpG sites were so costly for HIV).
I am also excited about the paper because it is the first paper from my lab at SFSU and it is the first paper that resulted from our collaboration with Adi Stern in Tel Aviv.
The work was done by Marion Hartl (SFSU), Kristof Theys (University of Leuven and SFSU), Alison Feder (Stanford), Maoz Gelbart (University of Tel Aviv), Adi Stern (University of Tel Aviv) and myself.
Fig 2 from the manuscript. Selection coefficients for transitions at every nucleotide site in the pol sequence show that CpG-forming mutations are more costly than non-CpG-forming mutations and that mutations that involve a drastic amino acid change are more costly than mutations that do not.
Selection coefficients were estimated using a generalized linear model and sequence data from 160 HIV-infected patients. Shown are predicted selection coefficients for synonymous (left) and non-synonymous (right) mutations that do not involve a drastic amino acid change and either create CpG sites (green) or do not (orange). For non-synonymous mutations, predictions are also shown for mutations that do involve drastic amino acid changes and either create CpG sites (pink) or do not (blue).