Full analysis of the mutations is in these slides:
Analysis is based mostly on deep mutational scanning experiments
TLDR: lots of antigenic change, and some interesting RBD mutations (addition of N-linked glycan & deletion in receptor-binding motif)slides.com/jbloom/new_2nd…
First, to emphasize, only THREE sequences of variant identified so far. There is not currently evidence of wide transmission.
As this thread outlines, people who study SARS2 evolution may want to pay attention to features of this variant. Everyone else can ignore if they wish.
As has been noted already, this variant has lots of amino-acid mutations in spike: 33 relative to its putative ancestor BA.2. It is also very different from XBB.1.5.
This makes it an evolutionary jump comparable in size to that which originally gave rise to Omicron.
Below is list of spike amino-acid mutations relative to BA.2, w my annotations of likely effects based on experimental data from @bdadonaite @tylernstarr @yunlong_cao @Dr_MattMcCallum @veeslerlab
One thing that is obvious is that many of these mutations cause antibody escape.
I’m going to call out three mutations that I think are especially interesting.
K356T creates a N-linked glycosylation site (at N354) in the RBD, with the resulting glycan likely to completely mask that antibody epitope.
There is deletion of V483 in RBD’s receptor-binding motif
Unpublished data from @tylernstarr & @bdadonaite (linked in slides) indicate delV483 will moderately reduce ACE2 affinity & antibody recognition, but effect will be no bigger than some point mutations we’ve seen.
There is P1143L at beginning of S2 stem helix
In our spike deep mutational scanning (), we found mutating P1143 improves infection by pseudotypes.
We speculated just cell-culture phenomenon, but here is mutation in virus that transmitted at least a bit.cell.com/cell/fulltext/…
To assess overall antigenic of mutations, we can use antibody-escape calculator () informed by data from @yunlong_cao
New variant has at least as much antigenic change relative to BA.2 as does XBB.1.5. https://t.co/z9ma98lY6Njbloomlab.github.io/SARS2-RBD-esca…
In fact, antigenic advantage of new variant over XBB is likely larger than indicated above, as many people have recently had XBB-specific antibodies boosted by infection. New variant differs from XBB at many key antigenic sites (see details)slides.com/jbloom/new_2nd…
Of course, to spread widely, antigenic advantage would need to be combined w inherent transmissibility close to best XBB variants
With only three sequences so far, there isn’t currently evidence that is case
But important to monitor if more sequences of new variant appear
Thanks to:
Labs that sequenced variant:
Variant trackers who spotted sequences: @shay_fleishon, @LongDesertTrain, et al
Scientists doing deep mutational scanning on SARS2 spike mutations: @tylernstarr, @bdadonaite, @yunlong_cao, et alepicov.org/epi3/epi_set/2…
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As background, common question in evolution is if some mutations have different effects in different homologs or conditions
Eg, our lab has measured how most mutations to Delta, BA.1 & BA.2 spike affect viral entry. Which mutations have different effects in these viral variants?
If deep mutational scanning experiments were perfect, we’d just compare the measured effects of each mutation in the different spikes to see if they were non-identical.
But in practice, experiments have noise: so how do we tell true biological differences from noise?
Briefly, the study (which was led by Wan Ni Chia @CheeWahTan2 @LokShee @linfa_wang), isolated antibodies from person who had been infected by SARS-CoV-1 in ~2003, then received Pfizer SARS-CoV-2 vaccine in 2021.
So unlike most people in the world, whose first immunological exposure to a SARS-related CoV was to an early SARS-CoV-2 strain via either infection or vaccination in 2020 or 2021, this person’s immune system had been “imprinted” by SARS-CoV-1 prior to their COVID vaccine.
This addition is important, because as @yunlong_cao describes in his thread, two Omicron infections is sufficient to partially break imprinting in their cohort & induce new antibodies.
So sites of escape differ depending on number of Omicron exposures (see image below).
In new study, I have analyzed correlation between SARS-CoV-2 & animal genetic material in full set of environmental samples from Huanan Seafood Market. biorxiv.org/content/10.110…
Analysis clarifies what sequencing these samples can & cannot tell us about early outbreak at market.
Background:
China first reported coronavirus cases associated w market & no human transmission. But then we learned was human transmission & some early cases not from market.
I wanted to flag this study by Lihong Liu, David Ho, et al that identifies new class of #SARSCoV2 antibodies that neutralize all major variants from early strains (eg, D614G) to current strains (eg, XBB.1.5): biorxiv.org/content/10.110…
These antibodies, 12-16 and 12-19, bind to an epitope at the interface of the NTD and SD-1 domain.
They block ACE2 binding, but not by directly binding the RBD.
Instead, they lock the RBD in the down conformation, as schematized below.
Most NTD antibodies (eg, those directed to supersite) act by Fc steric hindrance.
But new antibodies in this paper (12-16 & 12-19) are equally potent neutralizers as IgG or F(ab')2 molecules that lack Fc, whereas NTD supersite antibodies like 4-18 are less potent without Fc.