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.
3/ Image
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.
5/ Image
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.
6/ Image
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.

8/ Image
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.
9/ Image
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.
10/ Image
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.

11/ Image
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.

13/ Image
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

Apr 4
I’m amazed.
It’s really true: the BA.3.2 COVID lineage is infecting children at a much higher rate than previous lineages.

I’m late to this party, but I couldn’t really believe it was true until I did the analysis for myself.
1/
Most countries do not include patient ages with the sequence, so I restricted my analysis to

1. countries with reliable age info,
2. only included sequences submitted since Dec 2025
3. only included countries with over 50 BA.3.2 sequences.

2/
The country with the most BA.3.2 seqs was Luxembourg.

The fraction of BA.3.2 sequences there coming from kids under 10 was over 4-times higher than the non-BA.3.2 sequences.
3/ Image
Read 10 tweets
Mar 23
A new cryptic lineage popped up in St Louis a few weeks ago.

I’ve been sampling this sewershed (500k people) twice a week for years and the first time I see this cryptic lineage it is 5 years old and makes up 50% of the sample.
1/ Image
I believe the cryptic is a B.1.1 (circulated until early 2021), but it’s possibly even a B.1.
Clearly pre-Omicron though.
2/ Image
The genome is ridiculously predictable.
At least part of the sequences had s2m intact with the 29758G fix.

3/ Image
Read 9 tweets
Jan 24
We found a new (I think) cryptic lineage this week.
I know I say this all the time, but this is really weird.
Warning, this thread is for nerds only.
1/
Here’s what we do. Every week we download all of the new sequences from SRA and run a bunch of screens to look for anachronistic or cryptic lineages.

This new one popped up in 3 different screens.
2/
A good way to spot anachronistic lineages is to look for sequences that have been deleted in contemporary lineages. The virus can only undo a deletion through recombination. If we find seqs that lack the deletions, they have to be old (or contaminated with something old).
3/
Read 16 tweets
Nov 23, 2025
What should we expect this flu season?

Here’s a forecast from a wastewater perspective (because sh*t don’t lie)

1/
Background. The 4 main kinds of influenza circulating among humans (in order of severity) are:
FluA H3N2
FluA H1N1
FluB
FluC (many don’t know this one)

2/
Last season, there was a pretty even split between H1N1 and H3N2, with a little bit of FluB late in the season. At least according to CDC patient data.
3/ Image
Read 13 tweets
Nov 21, 2025
This is wild.

Remember the NJ crytic lineage?

I posted 18 months ago that the Spike was too divergent to predict ACE2 binding, and asked if someone else could figure it out.

Some colleagues took me up on it.

Guess what they found?
1/
This preprint just came out. @wchnicholas and team reconstructed and tested the NJ Spike and found that it has the tightest ACE2 binding of any SC2 Spike ever measured.
2/
medrxiv.org/content/10.110…
We first found the NJ variant in 2023 because this sewershed from NJ with 1.5 million people because it regularly had a sequence that was a reversion to the bat sarbeco sequence, which is common in cryptics.
3/

Read 9 tweets
Oct 31, 2025
Can you take a quarter cup of composite sewage, simply ask ‘what’s in there?’, and find out all of the pathogens circulating in that community?

That is the question we asked in our latest pre-print.

Turns out you can.
1/
medrxiv.org/content/10.110…
We are not the first group to do unbiased sequencing of wastewater to monitor circulating viruses, but I think we are the first to ever do it at this scale.

Weekly wastewater samples for 18 months, totaling over 85 Billion sequence reads.

2/ Image
Among the ‘known’ viruses, there was a fairly even split between bacteria viruses (phages) and eukaryotic viruses.
This was just raw reads though, if you look at diversity there was considerably more species of phages.
3/ Image
Read 23 tweets

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