Marc Johnson Profile picture
Aug 17, 2024 15 tweets 5 min read Read on X
I'm giving the variant update at the SAVE meeting on Monday so I thought I'd put out a preview for comment.

We are now at our 4th 'high water' mark since the Omicron wave based on wastewater surveillance.

1/ Image
I thought I would give an abbreviated summary of the last year in variants.

A little over a year ago BA.2.86 started circulating, a lineage that was almost certainly derived from a persistent infection.
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BA.2.86 was pretty fit, but it was still sensitive to a lot of Class 1 antibodies.

However, it quickly picked up S:L455S (making it JN.1), which evaded these antibodies, and it was off to the races.
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JN.1 played around with a lot of mutations, but its favorite was F456L, a change that it independently picked up at least 20 times.
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We then started seeing lineages that combined 456L with the old favorite R346T, which was the same change that BA.4/5 picked up during the summer 2 years ago.

This happened lots of times, but the best know was probably KP.2.
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But those lineages got some competition when another 456L lineage picked up R493E (KP.3).

For whatever reason this really only happened once. I'm not sure why. It was a C->G mutation, which is rare.

KP.3 seemed to be fitter than the 456L/346T gang.
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I always expected KP.3 to pick up R346T, but there hasn't appeared to be much selective pressure for that to happen. There's probably some redundancy in 346T/493E advantages.

7/
Then the 346T/456L group found a neat trick. They deleted position S31, which gave them the leg up again.

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But of course, KP.3 figured out that it could do that too.
The S31 deletion has occurred lots of times now, but the fittest among them seems to be KP.3.1.1.
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So what does the S31 deletion do. It's been reported to both increase fitness (higher infectivity in pseudotype assays), and antibody evasion.

The deletion introduces a glycosylation site, but it also restores the insertions/deletion balance in that part of Spike.
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RaTG-13 had a glycosylation site at this position too, and I've seen it introduced in lots of cryptic lineages.

However, I never saw the 31 deletion until the JN.1 insertion occurred. Probably because of the insertion/deletion balance thing.

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If I were smart I would put a 3D structure here showing why they insertion/deletion balance is important, but I'm not that smart (and it's just a theory).

12/
So what are we watching now?

There is a chimera-of-chimeras in China called XDV.1 that is doing pretty well there, but not really anywhere else.

Its spike is derived from JN.1, but it doesn't have any of the 'advanced' changes.

It does have the XBB Orf9b:I5T though.

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Finally there is the new chimera that just got designated, XEC. This one just appeared in June and has fared pretty well. I don't think it could keep up with KP.3.1.1 currently, but if it picks up a few more changes it might.

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Overall it's an odd time. It's pretty clear that KP.3.1.1 (and equivalent) is going to have a sweep the world the way that JN.1 did, but I'm not sure what happens after that.

We'll be watching.
15/15

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More from @SolidEvidence

Jan 5
Interesting, it looks like Atlanta, Georgia has a REALLY old cryptic lineage.

I would call it the CDC variant, but it’s the wrong sewershed.

1/ Image
I didn’t even know Georgia was doing wastewater sequencing, but a bunch of sequences appeared in SRA right after Christmas.

15 of the samples from the sewershed with pop. 190k (Cobb county) had the s2m fix.
2/
The ‘s2m fix’ means the variant is derived from BA.1 (original Omicron) or earlier. This lineage lacked 29742T, so it probably isn’t a Delta.

Strangely, I saw another s2m fix from Atlanta about a year ago, but different sewershed and the sequence doesn’t match.
3/
Read 8 tweets
Dec 31, 2024
The Cleveland variant is the strangest cryptic yet. I really don’t get it.
Can someone help me figure this out.
1/
In many ways the Cleveland variant is pretty typical. In addition to the ‘s2m fix’, it has many of the convergent cryptic mutations including several of the reversions to the consensus sarbecovirus sequence.
2/ Image
However, I never seemed to get a good look at the Spike receptor binding domain (RBD).
There is usually no coverage, and when there is it is sort of a garbled mess.
3/ Image
Read 8 tweets
Dec 29, 2024
I finally solved the mystery of why there are so many cryptic lineages in Northern Ohio.

This is a mystery I’ve been working on for the last 18 months.
1/ Image
First, standard background.

Cryptic lineages are unique, evolutionarily advanced SARS-CoV-2 lineages detected from wastewater.

We are fairly certain that these lineages come from individuals with very long infections (not animals).


2/
One of the common changes we see in cryptic lineages is this thing I call the ‘s2m fix’.

I call it that because the mutation ‘fixes’ an RNA structure called s2m which was ‘broken’ in the original SARS-CoV-2 lineage.


3/
Read 23 tweets
Dec 28, 2024
I’m pleased to share that we FINALLY submitted our latest manuscript on SARS-CoV-2 cryptic lineages and what they tell us about the origins of COVID-19.

This was a ton of work.


1/medrxiv.org/cgi/content/sh…
First, standard background. Cryptic lineages are unique, evolutionarily advanced SARS-CoV-2 lineages detected from wastewater.

We are fairly certain that these lineages come from individuals with very long infections (not animals).


2/
We’ve had several previous papers on cryptic lineages, but this new manuscript is about lineages we found in public sequence databases.

We screened the raw data from 135,672 wastewater samples from over 2k sites across 45 countries collected prior to November, 2023.
3/
Read 25 tweets
Dec 15, 2024
What are really the most prevalent SARS-CoV-2 lineages and which are increasing?

This is our latest wastewater analysis.

1/ Image
We downloaded and analyzed seqs from over 3,000 US wastewater samples collected since Oct 16.

We only analyzed the US samples because there weren't any other sites we could find that covered the time period. This represented at least 80M people.
2/
ncbi.nlm.nih.gov/sra/
For the analysis we compared the frequency of every non-consensus change in Spike during the first 3 weeks (10/16-11/5) to the frequency in the second 3 weeks (11/6-11/26).

3/ Image
Read 10 tweets
Dec 7, 2024
I'm working on a new strategy to track lineages by making composites of all of the recent wastewater sequences.
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We downloaded about 1600 samples from the last month (~1 TB of data) and compared the frequency of mutations in the first 2 weeks versus the second 2 weeks.
2/
KP.3.1.1* is still on top with 50-55% of sequences and dropping slowly.
XEC* is next at 30-35% and rising slowly.
2/
Read 7 tweets

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