Ryan Hisner Profile picture
Sep 21 20 tweets 7 min read Read on X
I’ve mostly pooh-poohed the rise of XEC for 2 reasons:

#1. Its spike is almost identical to the dominant KP.3.1.1
#2. I don’t think its advantage over KP.3.1.1 is large enough to make a significant real-world impact.

But one aspect of XEC is noteworthy: The demise of N*.
1/20
I’ve talked a lot about nucleocapsid before, mostly in this 120-tweet thread that was too long for anyone to want to read. Nucleocapsid is by far the most abundant SARS-CoV-2 protein. Nothing else comes close. It is very, very important. 2/20
An essential aspect of N is its phosphorylation. Phosphorylation involves the attachment of a highly negatively charged phosphate to (usually) an S or T amino acid. We even know how it happens in the SARS-CoV-2 N. It’s pretty neat. 3/20
N phosphorylation acts as a “molecular switch.” N is phosphorylated immediately after entry (possibly assisting the separation of the viral genome from N, with which it is intertwined and from which it must escape in order to be translated into proteins. 4/20 Image
The N3 region of the SARS-2 N is densely phosphorylated. N3 is highly conserved in betaCoVs, yet it’s been frequently mutated in SARS-2. Remarkably, the mutations in N3 invariably reduce phosphorylation—like the NSP3-N revertants I discussed here. 5/20
The #1 role of N is to encapsidate the viral genome & tuck it inside the virion. N strongly binds RNA, & the viral genome wraps itself around N inside the virion. But phosphorylation dramatically reduces N’s RNA-binding ability. Phosphorylated N (pN) cannot encapsidate gRNA. 6/20 Image
An awesome recent study by @BlackledgeLab (lead author @MaiiaBotova) outlined one of the mechanisms underlying this phosphorylation “switch.” N3 phosphorylation causes it to bind to N2 in precisely the same way RNA does. 7/20

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So why is N phosphorylated? Apart from a likely role in separating viral RNA from the genome upon cell entry, phosphorylation enables N to carry out its myriad other roles. Many proposed pN functions are uncertain or poorly understood, but a few are clearly important & real. 8/20
A fantastic preprint by a veritable all-star team—including @abdullah_m_syed, @doudna_lab, @KroganLab, @Doctor_Bou, & @TheOttLab—showed that phosphorylation improves N’s ability to facilitate RNA replication but impedes viral assembly. 9/20 Image
Similarly, the numerous mutations in the N3 region in SARS-2 variants, which reduce N3 phosphorylation, greatly improve viral assembly—by more than 10-fold. But reduced phosphorylation hampers RNA replication. So the virus faces a conflict. 10/20
Is there a way to have the best of both worlds? Indeed, the virus may have found a way: the novel N* protein. N* showed up very early in B.1.1. It involved a triple-nuc mutation that created a new TRS (see 🧵 below for TRS explanation). 11/20
This new TRS results in the creation of a half-truncated version of N containing only its last half. Crucially, this half lacks the phosphorylated AA in the N3 region, meaning that it is not subjected to phosphorylation (& probably not harmful ISGylation either). 12/20
Incredibly, studies have found that despite lacking the first half of N—which contains the primary RNA-binding region—N* is capable of encapsidating the SARS-CoV-2 genome all by itself! 13/20
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With N*, the virus could have its cake and eat it too. It can go ahead and phosphorylate N a bit more, boosting RNA synthesis, without having to sacrifice as much assembly efficiency since little N* can take up the slack on that front. 14/20
It’s little wonder, then, that multiple studies found that the N:R203K/G204R mutation that created N* resulted in higher viral loads and more severe illness. 15/20
Finally, we come back to XEC. XEC is a recombinant of KP.3.3 and KS.1.1. When KP.3.3 first emerged, I thought it would not be around for long. Why? It has a mutation that basically destroys the N* TRS. It almost certainly produces ~zero N* protein. 16/20 Image
But to my surprise KP.3.3 has done very well, dominating in Japan, for example.

And XEC inherited this N*-destroying mutation from
KP.3.3.

17/20 Image
There’s no obvious reason XEC is doing as well as it is. Its spike is nearly identical to KP.3.1.1, & the few non-spike differences seem insignificant—except the N* destroyer. That XEC is doing well & lacks N* suggests N* is no longer advantageous. Could it be deleterious? 18/20
I really don’t understand why this should be. The only change in N in JN.1-descended lineages is Q229K. This is near the end of the crucial leucine-rich helix. Could it somehow have made N* superfluous? Seems unlikely but who knows? 19/20 Image
Something has changed, I know not what. But I think it’s worth taking note of. To me, this is the most interesting part of XEC’s recent success.

The meaning of the (possible) demise of N* isn't clear, but perhaps it holds a clue to some deeper mechanism at work.
20/20

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More from @LongDesertTrain

Sep 8
Update on XEC: the weekly growth advantage of XEC relative to KP.3.1.1 has withered to approximately zero in Germany, the country XEC has been in longest and which has by far the highest proportion of XEC sequences. 1/13
Image
The country of origin is generally the best place to compare a new variant to others. But globally, most seqs have been collected outside Germany (World: ~225, Germany: ~60), & these deserve some weight.

And globally, it looks like an XEC massacre. 2/13 Image
But global growth figures are often misleading. There have been virtually no XEC detected in Asia or Australia, for example. Apart from Germany, only Denmark, the Netherlands, the UK, & Canada have >20 seqs and >0.3% prevalence in the past 2 months. So let's look at these. 3/13 Image
Read 15 tweets
Sep 1
Lots of talk about the XEC variant lately. It's a fast variant, but I want to emphasize two things.

First, I don't think XEC is much faster than the dominant KP.3.1.1. Germany is the only country w/enough seqs for a reliable growth estimate & it's pretty modest & uncertain. 1/6 Image
A variant w/such a small growth advantage (assuming it's accurate) takes months to grow to dominance. And such modest advantages do not result in any noticeable change in case levels, so I don't expect XEC to have any real impact. By the time it would become dominant... 2/6
...it's almost certain that some other, more dramatic evolutionary event will have taken place, whether that be another chronic-infection-derived saltation variant or simply further stepwise spike mutations on top of current variants. 3/6
Read 6 tweets
Jul 17
KP.3, w/the unusual Q493E mutation, now dominant globally. To me, it's the first major spike change—involving real structural/epistatic change as opposed to treadmilling, stepwise antibody-evasion mutations merely keeping pace w/population immunity—since JN.1 emerged. 1/23
Most spike mutations affect ACE2 binding similarly in BA.2, XBB.1.5, & JN.1—e.g., Y453F confers a large incr in ACE2 affinity in all—so the XBB.1.5 deep mutational scanning info from @bdadonaite & @jbloom_lab is still invaluable. But Q493E is different. 2/
In both XBB.1.5 and BA.2 spike backgrounds, Q493E imposes a devastating hit to ACE2 affinity—so large that no variant with it could survive & circulate.
Data below from:
Bloom Lab XBB.1.5 DMS -
BA.2 RBD heat map - 3/ dms-vep.org/SARS-CoV-2_XBB…
jbloomlab.github.io/SARS-CoV-2-RBD…
Image
Read 25 tweets
Jul 3
AI is a disaster for journalism. Here are a two examples of AI hallucinations on the FLiRT variants of JN.1, which are named after spike mutations F456L & R346T.

This one from @NewstalkFM says FLiRT stands for "F-Type Recombinant Lineage," a term invented from whole cloth. 1/3
When I Googled that name, a clear AI hallucination dutifully copied & pasted by "journalists," I accidentally stumbled on another.

This one, from the Manchester Evening News via Yahoo News, says FLiRT stands for "Fresh Lineage of Rapid Transmission." 2/3 Image
How many other things that we read from such "news organizations"—better described as transcribers of ChatGPT word vomit—are AI hallucinations?

We need publicly funded journalism, yesterday. See one proposal from @DeanBaker13 described below. 3/3 thenation.com/article/societ…
Read 4 tweets
Jun 29
@suprion_verlag @dfocosi @yunlong_cao @RajlabN @BenjMurrell @SystemsVirology @SimonLoriereLab @EricTopol @TRyanGregory @tylernstarr @JPWeiland @siamosolocani @CorneliusRoemer The basic pattern has been that we occasionally see huge evolutionary jumps with no intermediate sequences (BA.1, BA.2, BA.5, BJ.1/XBB, BA.2.3.20, BA.2.86, & many others), which in reality evolved stepwise within a single, chronically infected individual.
@suprion_verlag @dfocosi @yunlong_cao @RajlabN @BenjMurrell @SystemsVirology @SimonLoriereLab @EricTopol @TRyanGregory @tylernstarr @JPWeiland @siamosolocani @CorneliusRoemer Then, after such a variant begins circulating, it begins to pick up mutations, primarily in the spike protein, which evade antibodies that are widespread in the population. The specific mutations vary somewhat with each new variant, but there's a lot of common ground as well...
@suprion_verlag @dfocosi @yunlong_cao @RajlabN @BenjMurrell @SystemsVirology @SimonLoriereLab @EricTopol @TRyanGregory @tylernstarr @JPWeiland @siamosolocani @CorneliusRoemer R346T, for example, has been acquired again and again. Various mutations at E484 and F486 have been common as well, and there are many others that could be mentioned. In some cases, these mutations seem to have arrived at a quasi-endpoint (for now)—∆Y144 or F486P, for example.
Read 5 tweets
Jun 18
. @BenjMurrell is doing the best variant growth modeling in the world, & his latest results confirm most of what we've thought: KP.3 is the fastest large variant, & its sublineage KP.3.1.1—w/the highly advantageous, glycan-creating S:∆S31—is easily the fastest in the world. 1/15
It can be a difficult to decipher the meaning of these graphs if you don't have an encyclopedic knowledge of the latest variants—which I think only @siamosolocani possesses—so I tried to add some context to Ben's graph, which I'll explain below. 2/15 Image
I divide key mutations into 4 categories, from most to least impactful, IMO.

#1. Q493E (KP.3 exclusive), F456L (~universal)
#2. T22N, ∆S31 (glycan-adding)
#3. R346T, T572I
#4. F59S/L, S60P, K182N, Q183H

Lowest row of boxes on the graph is group #1, above it #2, & so on. 3/15 Image
Read 16 tweets

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