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.
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'.
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.
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.
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).
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.
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.
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.
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:
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/
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.
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/
As before, we have a dropdown menu (now divided into categories) where you can do a city-to-city comparison of the different pathogens.
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/
For the last 18 months we have been getting weekly composite wastewater samples, isolating the viral fractions (the virome) and randomly sequencing everything.
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/
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. 1/
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…