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. 26/
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. 29/
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. 33/
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. 39/
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. 41/
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. 42/
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. 43/
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. 47/
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 48/
What are really the most prevalent SARS-CoV-2 lineages and which are increasing?
This is our latest wastewater analysis.
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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).
I'm working on a new strategy to track lineages by making composites of all of the recent wastewater sequences. 1/
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.
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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.
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GISAID vs SRA/WW
I thought I would do a little comparison to see how wastewater sequencing data compares with patient sequencing data in evaluating viral trends. 1/ cdc.gov/nwss/index.html
For WW I took all of the samples from our most recent SRA download that were collected in the last month (~500 samples). This wasn’t normalized.
For the patient side I used Cov-Spectrum data (because it's public) from the last month (8,302 sequences). 2/ cov-spectrum.org/explore/World/…
There are about 50k patient samples collected for sequencing each month, but there is always a delay before they are all sequenced and uploaded.
I decided to have a more careful look back at the evolution of the Maryland cryptic lineage. 1/
Standard explanations and disclaimers.
Cryptic lineage: unique, evolutionary advanced SARS-CoV-2 lineages detected in wastewater from an unknown source.
Cryptics are not from animals, they are long term infections. 2/
Maryland folks, I need another favor.
There is a person from Anne Arundel county that has been infected with SARS-CoV-2 for about 3 years (Delta infection).
They probably don’t even know they are infected, but they are shedding a ton of viral material in wastewater 1/
I’m trying to find this person without invading their privacy, if they are willing to be found.
Here are a few threads I’ve written about this variant if you want to read up.