Marc Johnson Profile picture
Dec 23, 2023 26 tweets 6 min read Read on X
By the Spring of 2021, the early VOCs had largely run their course and it seemed like the pandemic might soon be over. But then a new variant of concern entered the scene: B.1.617.2 (Delta).

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Delta was not particularly immune evasive, but it was fast. Notably, it had the strongest predicted FCS of any variants to date changing 681P to 681R.
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Delta became dominant like no other variant had accomplished previously. It was basically the only lineage in circulation. Many experts believed that all future lineages would be Delta-derived.
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Delta spun off lots of offspring. Delta (B.1.617.2) already had 3 numbers, so all of its offspring got the next available letter: AY.

However, none of the AYs were much better than the others, so we just kept getting more AYs. They made it all the way to AY.134.
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Then in November of 2021 we learned about a new VOC circulating in South Africa that had a ton of changes, many of which were immune evading changes.
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A word about antibodies and escape mutations.

Antibodies are defensive proteins we generate that bind to things we want to get rid of.

If an antibody can inactivate a virus simply by binding it, it is called a neutralizing antibody.
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Not all antibodies that bind Spike are neutralizing. The vast majority (~90%) of the ones that neutralize do so by binding the receptor binding domain (RBD) of Spike.

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If the virus acquires a mutation that prevents a neutralizing antibody from binding/neutralizing, it is called an ‘escape mutation’.
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There are 3 main ‘classes’ of RBD neutralizing antibodies, and each classes has defined escape positions. Thanks to the work of @jbloom_lab @yunlong_cao and many others, we have a pretty good idea of which single mutations are escape mutations, and Omicron had a ton of them.
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At this point in time (early 2022) the immunity against SARS-CoV-2 was relatively ‘homogeneous’. We had generally all been vaccinated or infected with roughly the same virus. This made it a bit ‘easier’ for a lineage like Omicron to be widely successful.
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From the beginning there were 2 lineages of Omicron (B.1.1.519): BA.1 and BA.2. The two were very different, but clearly of a common ancestor.

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I am personally convinced that they both came from the same persistent infection (which had lasted over a year). We know from our studies with persistent infections and cryptic lineages that individuals with persistent infections can carry a vast diversity of lineages.
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BA.1 swept first in most places, but BA.2 had more staying power. BA.1 probably caused more infections than any other lineage ever, but only lasted about 6 months and it spun off no major offspring.

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BA.2 initially caused fewer infections than BA.1, but it had stronger offspring: BA.2.12.1, BA.2.75, CH, and eventually BA.2.86/JN.1.
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Next after BA.2 was BA.4 and 5. No one really knows where these came from. BA.4 and 5 were VERY closely related, and very clearly close relatives of BA.2, but not clear descendants. They were probably recombinants, but it’s never REALLY been sorted out as far as I know.
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It was during this Omicron period when lineages became a variant soup of convergent changes. Patients still had a few antibodies that would neutralize the virus, so all different lineages started picking up the same mutations to evade them.
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I started making these graphs to try to keep up with the convergence, but I couldn’t keep up with it. @dfocosi has done a much better job at keeping these updated.
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Circulating lineages were mostly BA.4/5 descendants through the end of 2022, but a few BA.2 descendants kept hanging on.

Eventually two different BA.2 lineages recombined to make a pretty fit lineage called XBB.
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XBB wasn’t really able to outcompete the BA.4/5 descendants until its kids found a key change: S:486P. This happened many times: XBB.1.5, XBB.1.9, XBB.1.16, etc.
Many of these lineages (and their descendants like EG.5 and HV.1) are still circulating today.
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This summer we got our latest curveball (BA.2.86). This lineage appeared in Israel and was clearly derived from something that circulated over a year ago.

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Personally, I first thought this was just a persistent infection that @shay_fleishon had found. @LongDesertTrain has found scores of these occurrences.

However, within a week the same exact lineage had appeared on three different continents.

It was concerning.

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BA.2.86 did not initially take off like an Omicron. They found that it wasn’t really any more immune evasive than the contemporary lineages like EG.5 or HK.3.
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In fact, it was clear that BA.2.86 was still sensitive to some class 1 antibodies that EG.5 and HK.3 were resistant to. It was also clear that they were resistant was because of the mutations F456L and L455F.
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I was expecting the next step would be for BA.2.86 to pick up one of these.

I was close, it picked up L455S, which created JN.1
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Continued in a 3rd thread.

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More from @SolidEvidence

Jul 9
I've always found this frustrating.

You or your child has a respiratory infection. It's not flu or COVID. Your doctor can only tell you, 'you have a virus'.

Could it be a little bit more specific?

We hope to help answer this question, non-invasively, and for free.
1/ Image
Contrary to my prior assumptions, many of the most common pathogens are not everywhere, all the time. They occur in discrete waves, often nationwide.

I wrote about this recently with Rhinoviruses, the most frequent cause of the common cold.

2/
As promised, we've now added a standalone readout of the rhinoviruses on our wastewater dashboard.

3/
lungfish-science.github.io/wastewater-das…Image
Read 10 tweets
Jun 29
This is cool. I was poking around at the Rhinovirus (common cold) data and realized that my perception about these viruses was completely wrong.
1/ Image
Rhinoviruses (Rhino is Greek for nose) are picornaviruses in the enterovirus genus (same as polio). Enteros can be GI or respiratory (or both), but Rhinos are usually respiratory, and are the main cause of the common cold.

2/cdc.gov/rhinoviruses/a…
There are 3 species of Rhinoviruses (A, B, and C), and over a hundred antigenically distinct serotypes.

3/en.wikipedia.org/wiki/Rhinovirus
Read 16 tweets
Jun 28
I’m thrilled to announce the update of our water surveillance dashboard.

Many improvements, and our first substantial move into ‘OneHealth’.

Read to the end to find the Easter Egg.
1/
dholab.github.io/public_viz/001…
The first big improvement is that the output is more precise, and interactive. For each data point we tell you the date, the reads mapped, the total reads in each sample, and the reads/billion for each pathogen.

The heat map color is dictated by reads/billion.

2/ Image
As before, we have a dropdown menu (now divided into categories) where you can do a city-to-city comparison of the different pathogens.

We hope to show more locations soon.
3/ Image
Read 17 tweets
Jun 12
Our latest cryptic lineage paper was accepted in PLoS Pathogens.

This paper has some nuanced implications about the origins of SARS-CoV-2.
1/
journals.plos.org/plospathogens/…
There haven’t been a ton of changes to the manuscript since I wrote a post on the preprint, so I’ll make this summary brief and focus on the things that changed.
2/
Cryptic lineages are anachronistic, evolutionarily advanced SARS-CoV-2 lineages detected from wastewater. We are pretty certain they are all from persistent infections.

We developed techniques for finding these lineages and partially reconstruction their genomes.
3/ Image
Read 11 tweets
Jun 6
This is so cool.

I’m pleased to share version 1.0 of our new dashboard for displaying data from our wastewater metagenomic project.

This is a collaborative projected between MU, U. Wisc @dho, and SecureBio; funded by Inkfish and Open Philanthropy.
1/
lungfish-science.github.io/wastewater-das…
For the last 18 months we have been getting weekly composite wastewater samples, isolating the viral fractions (the virome) and randomly sequencing everything.

We average about 1 billion reads per sample.
2/
The project started with Columbia, MO in late 2023, but we’ve expanded to include Chicago, Boston, Boise, and Riverside. We are doing other sites too (and expanding), but these are the first we are reporting.
3/ Image
Read 15 tweets
Apr 20
We are recruiting sewersheds for an expanding project. Basically, we want to learn everything that can be learned from wastewater.
Read on if you are interested.
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This is a collaboration with SecureBio that started about 18 months.

Basically, we isolate the viral fraction from wastewater and sequence the crap out of it (~1 billion reads/sample). This is unbiased sequencing; we don’t want to miss anything.
2/
securebio.org
There are three main levels to the analysis of the wastewater virome.
The first is SecureBio’s main focus, which is novel pathogen detection with a particular focus on engineered pathogens.
3/
naobservatory.org/blog/detecting…
Read 16 tweets

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