Marc Johnson Profile picture
Sep 18, 2022 19 tweets 7 min read Read on X
SARS-CoV-2 lineages, Cryptic lineages, and a prediction of what the next dominant VOCs will be.
We sequence SARS-CoV-2 from wastewater using a different approach than most. We sequence smallish fragments of the genome so that we can tell if particular mutations are derived from the same virus. This way we are better able to determine if there is anything new circulating. Image
About a year and a half ago we detected something from a St. Louis sewershed that didn't make sense. SARS-CoV-2 lineages whose sequence did not match anything that had been seen from patients. We called these 'cryptic lineage'. Image
Wanting to know if this kind of thing was common, we started collaborating with @DrJDennehy to see if we could find anything similar in other places. NYC also had cryptic lineages. Not the same lineages, but lineages with similar characteristics.
nature.com/articles/s4146…
By the end of 2021, we had identified 9 sewersheds (out of about 180 that were being routinely surveyed) that contained cryptic lineages, including a lineage from California with @RoseKantor.
medrxiv.org/content/10.110…
My obsession with finding and characterizing these cryptic lineages accelerated in 2022. To date we have screened wastewater from around 700 sewersheds. In total we have found 24 putative lineages. I say putative because some of them we have only seen once.
We still didn't know where these lineages were coming from. I was convinced of an animal reservoir. What changed my mind is when we tracked a lineage in Wisconsin with @dho all the way to a single set of bathrooms. There is no animal contribution. It is from a person. Image
What we think is happening is that cryptic lineages are very long-term infections in people (often >1 year). Perhaps GI infections. The hosts are obviously mounting an immune response, but are not able to clear the infection.
Because there are no genetic bottlenecks from spreading from person-to-person, these viruses basically push the evolutionary fast-forward button.
What can these lineages tell us about circulating viruses? These are the sites in the Spike RBD that are most commonly changed in the cryptic lineages. We had seen lineages with these changes long before they were seen in Omicron. Image
When Omicron arrived (shown in red) it had mutations at many of the same sites. The main exceptions were L452 and N460, which were common in cryptic lineages, but were not in Omicron (BA.1). Image
About six months later we started seeing Omicron lineages with mutations at L452. Highlighted in red are the changes in BA.4/5 (which has L452R), but there were also lineages with L452Q, L452M, and others. These lineages took over, but there were still no changes at N460. Image
Finally, a few months ago N460K appeared in an Omicron lineage (BA.2.75). However, it was not combined with any of the L452 mutations. Nonetheless, BA.2.75 and its derivatives have continued to expand and slowly displace other lineages. Image
A few days ago, a new lineage appeared in a MO wastewater sample. Omicron with L452R+N460K (and K444M). This appears to match a new lineage that was just designated as BU.1 a few days ago. Currently there are only 13 sequences in GISAID with this combination of mutations. Image
However, I recently learned from @CorneliusRoemer that I was behind in my lineages. There is another completely independent lineage that arrived at almost exactly the same combination. This lineage is designated BQ.1.1. This group has L452R+K444T (rather than K444M).
In addition, BQ.1.1 has also picked up R346T (also in BA.4.6). We haven't focused as much on this region of spike, but most cryptic lineages that we have checked also have a mutation at this site. It seems to be pretty critical. BQ.1.1 is new, but it seems to be taking off.
There you have it. BQ and BU. I don't know if they will cause a spike in total cases, but barring something completely new appearing, I predict that they will be the dominant VOCs in the coming months.
Addendum. It seems a few other lineages have hit very similar 'jackpot' combinations very recently. In addition to BU and BQ:

BW.1 (BA.5.6 derivative)
BS.1 (BA.2.3 derivative)
BR.2 (BA.2.75 derivative)
other undesignated

They all have N460K, L452R + other changes.
Real pango experts, please correct me if I botch any of these, or have missed any. @CorneliusRoemer @PeacockFlu @siamosolocani @LongDesertTrain

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More from @SolidEvidence

Aug 17
It’s been 2 years since BA.2.86 first appeared (and I’m give the variant update to SAVE on Monday), so I thought I would do a little summary about this era of SARS-CoV-2 evolution.
1/ Image
SARS-CoV-2 lineages come up with new constellations of mutations in 3 main ways.
1. Sequential acquisition of mutations during normal circulation.
2. Recombination.
3. Sweeping new lineages (almost certainly from persistent infections).
2/
BA.2.86 was one of the sweeping changes. When it first appeared in Israel I thought it was a persistent infection, most of which never spread. Then it appeared in Denmark too.
3/
Read 13 tweets
Aug 16
I read @EricTopol's Super Agers book while we were traveling this summer.

Wow. That was the most rigorous (>1,500 refs), comprehensive, and bullshit-free book on health I’ve ever seen.

Too much info for a thread, but I’ll mention some highlights.

1/simonandschuster.com/books/Super-Ag…
Fact 1, it’s not just genetics.
@EricTopol spent years sequencing the genomes of the ‘wellderly’ (people over 80 that have never had a chronic illness) to find the genes associated with healthy aging.
Their conclusion – there wasn’t much there. It’s not just genetics.
2/
Fact 2, intake matters.

1. Drinking coffee has real health benefits (who knew?)
2. Drinking alcohol really doesn’t (bummer)
3. Ultra Processed Foods (UPFs) are REALLY bad for you. It goes well beyond being empty calories.

3/
Read 10 tweets
Jul 18
A 'new' Texas cryptic lineage popped up this week.

We've got another traveler.

1/ Image
This one was from a Texas sewershed from July 1 with a population of 1,000,000, which means it had to have been one of the Dallas sewersheds.

2/ Image
It's a little surprising we found this one because the sequence coverage was kind of spotty.

It popped up in one of our screens because it had a few mutations that we've only seen in cryptics so far.
3/ Image
Read 11 tweets
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

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