Omicron is a weird variant.
Together with @SternLab i took a dive into it's strangeness from the genomic point of view by analyzing the defining mutations of the 3 Omi’s (BA.1/2/3) and 65 other variants having a long branch in the tree and high % of NS mutations.
The strangest thing of course is the RBD mutations. There are a lot. As seen, they are not in line with the trend of many other variants.
But when looking at S1 (non RBD), Omi’s seems more in line with the general trend.
So, as we know from the last year, mutations in RBD evolved quite clear “boundaries”. In the other 3 VOC’s there were no more than 3 non-synonymous RBD mutations. In Omi, it seems that there are new “boundaries” from some reason (more on that in the end of this thread).
Beyond S-
In the 65 variants we compared to, 24 had one mutation in M gene and only 1 had two (B.1.632). Omi has three, two of which are completely unique.
Deletions in NSP6 are also something quite convergent. 21 variants has the deletion in positions 106-108 (SGF), including BA.2&3 . 2 Variants has single AA deletion in position 104. And only one variant (B.1.1.524) shares the 105-107 deletion of Omi.
So, something in the mutation profile, especially in the RBD, seems to be not in line with the general trend. It’s not just another variant but one with a lot more mutations, it’s different.
The 2 main scenarios for Omi’s evolvement are chronic patient/’s or reverse zoonosis followed by another spillover to humans.
The reverse zoonosis may be less likely as there 3 different variants in the Omi lineage, one is a recombinant of the other 2. All arose in the same time.
So a chronic patient/’s with several variants evolved in (co-circulating,making recombination probable) seems more likely.
But, as @sergei pond demonstrated, many mutations fixed in Omi were previously shown to be under negative selection. Epistasis is a possible explanation.
Due to the high number of these negative selection mutations, we suggest that there was one (or more) mutations that caused a change in the fitness landscape, whereby many previously deleterious mutations became neutral/adaptive.
In parallel, and complementary to the above, @GuptaR_lab, @PeacockFlu and others showed, Omi might have changed its tropism away from lung cells, and this is (hopefully) in line with clinical data emerging.
So - SARS-CoV-2 might have made a large phenotypic change, and might have moved to a remote region in the fitness landscape as compared to previous variants. One open question remains – how far is Omi, if this is the case, from the peak in this new region?
This means we will need to start gathering new data, genomic and clinical. And we need to keep in mind that applying the knowledge we have on disease caused by previous variants will drive us to the wrong conclusions.
The data for this analysis is available here :
docs.google.com/spreadsheets/d…

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More from @shay_fleishon

28 Dec 21
I see a lot of Omi samples with Delta mutations recently. Maybe contamination maybe convergence.
I went to look at it.
I took all non UK Omi samples from 26.12 (~17.5K) and looked for ones with Delta mutations (21j or 21i) using a code by @DrorBendet. I found 890 samples.
Here we can see that most of the samples are with 1-3 delta mutations. As we go to higher #delta mutations the probability for this to be a lab contamination is going up.
Here are the # of samples with each mutation. What pops up immediately is that the most prevalent ones are the more converged with other variants.
Read 10 tweets

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