shay fleishon 🧬 Profile picture
Aug 18 11 tweets 4 min read Twitter logo Read on Twitter
As BA.2.86 keeps on poppin, I'll outline key insights on its prevalence, genomic features, potential impacts, diagnostic advancements and highlight for areas requiring immediate focus.

For ongoing updates, please follow my page.

Let’s go: Image
Most important note :
Only 5 BA.2.86 cases verified so far by sequencing. that's not much.
We must analyze with caution to prevent overinterpretation. With such limited data, We can easily make more noise than data. Nevertheless, these few cases could signal an emerging concern, requiring continued vigilance and alertness.
The 5 cases spotted across 4 countries (US, UK, Denmark, and Israel). These cases were all identified within the community and occurred within a short time frame, specifically at the beginning of August. This geographical spread and rapid emergence warrant close monitoring and investigation
This is not Omicron.
Although it has evolved from one of Omicron's main branches (BA.2), it is as diverged from BA.2 as BA.2 was from the basal lineage of this pandemic.
Regardless of any official nomenclature that may continue to classify it as Omicron, if the case count reaches 20 samples across 10 countries by the end of next week, I propose referring to it as the Pi variant, emphasizing its unique identity.
Regardless of any inferences drawn from this extreme saltation, it's essential to recognize that the high number of mutations may complicate our ability to calculate or speculate based on known specific mutations. We must keep in mind the concept of epistasis in every analysis, acknowledging that the interaction of mutations can produce complex and unpredictable effects.
A new variant may lead to changes in virulence, transmissibility, and immune recognition. While everyone’s interest is of the alterations in virulence, it is important to recognize that this aspect will likely be the last to be determined if changes have indeed occurred (we’re talking probably several months in such cases). Ongoing monitoring and research are crucial to comprehensively assess the potential impact of this variant.
Immune evasiveness is a key concern with such a significant saltation in the S1 protein. @jbloom_lab has conducted vital calculations on this matter (link bellow), providing important insights. If your not following him yet, this is the time to start.


*However, as previously stated, it's essential to remember the complexity of epistasis, which may affect our understanding and interpretation of these findings.
The transmissibility of this variant may be inferred from the fact that the 5 samples have a notably low genomic distance between them. This indicates that they diverged from their most common recent ancestor very close to the time they appeared. Aassuming the molecular clock has remained relatively constant in this variant, this means not more than 2-4 weeks.
Combining this with the simultaneous appearance in community infections, across 4 different countries on 3 continents, provides a hint of rapid transmission. Although it's very early to make definitive conclusions, if this trend continues in the next samples, the situation may become concerning.
Data is currently missing, and sequence prevalence has dramatically reduced in recent months. Throughout the pandemic, new variants were first detected in border diagnostics and then within the community; however, border checks been cancelled some time ago. Therefore, I urge all laboratories worldwide not to delay the release of results. Please upload data to @GISAID ASAP and avoid stacking samples. Even if it means sequencing on smaller batches for the next week or two, we need this data more than any time in the past year.
Diagnostics have been updated.
You can refer to the list I've compiled of ultra-specific mutations (which I assess will be less prone to problems and may also detect sibling saltating variants, as seen with BA.1 & BA.2, B.1.617.1 & B.1.6172, and others).
Nextclade has been updated and can accurately detect BA.2.86 samples. I've tested its performance with synthetically made samples from BA.2.86, even with extreme defects and added genomic changes, and found it to be accurate; please use it.
USHER has also been updated to distinguish BA.2.86.
So @CorneliusRoemer , @AngieSHinrichs @theosanderson and all ur colleagues, From myself and from public health diagnostic teams worldwide, thank u for ur quick response and amazing work through the pandemic and now specificaly.
@jbloom_lab This is it for now. ill update more if data will accumulate, but hope it will not.

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More from @shay_fleishon

Aug 13
How wild can it gets?
One of our labs in Israel just uploaded a sample to @GISAID (EPI_ISL_18096761) from a patient which is not chronic nor infected by one (mans able to transmit inter host).
It's so wild I had to consult with some colleagues(*) to analyze if it's not BA.6... https://t.co/IXXjAnjwrktwitter.com/i/web/status/1…
Image
@GISAID If were taking it as a BA.2 2nd gen, it means it got :
18 RBD mutations (incld 3 reversions and a deletion)
69-70,144&211 dels, 4 AA insertion and plenty of mutations in the NTD
681 turn to R

This thing went far from BA.2 more than it went from the WT. https://t.co/jCNQ6ta3ivtwitter.com/i/web/status/1…
Image
@GISAID So please, remember Omicron's are just WT 2nd gen, who knows what its 2nd gen's will look like. And as long as those pops (even in very small numbers) in the community, things are not over.
Read 4 tweets
Jun 30
So where SARS-CoV-2 is going?
I'm sharing an analysis I've undertaken, looking at RBD SNPs in variants as a marker for antigenic drift, and synonymous SNPs as an index for time since the pandemic's onset.
I took the definitions of 526 Omicrons sub-variants (from a DB i maintain and will share in the end here). This entailed assessing the count of synonymous SNPs against RBD SNPs in each varaiant. Averaging # RBD SNP's for each # of synonymous SNP's.
But! Keep in mind that each point on this 2D graph is an average, and each successful variant sparks a spectrum of emerging sub-variants.
So next we will look at an image from the tree curating by @CorneliusRoemer in which each sample is the initial sequence of a defined variant.
Read 9 tweets
Jun 11
Here is a variant definition DB I'm maintaining.
its includes an upgraded type of VCF with Aliases dict, mutations added relative to previous branches, mediator branchpoint (when such are not defined) and more for main @pango variants (842 so far).

docs.google.com/spreadsheets/d…

1/6 Image
Every entry goes through an analysis includes statistical examination of mutations, verification against USHER's Mutational path, study of parent's defining mutations, and analysis of mutation positions, including Ambiguous nucleotide and discontinuous regions.

2/6
Most importantly, entries are verified against the phylogenetic tree in USHER (thanks @AngieSHinrichs 😀), ensuring accuracy and precision in the data presented. This rigorous process ensures the information shared is robust, reliable and up-to-date as i can get (i think).

3/6
Read 6 tweets
May 31
In 2021, I analyzed mutation rates in various variants, considering only samples with defining mutations. I then grouped these in consecutive time frames.



1/13
Prof. @richardneher later published a similar analysis yielding significant insights.

biorxiv.org/content/10.110…

2/13
Now, after learning data investigating using Python, i created a code automating this process. The main steps are taking samples with all the defining mutations for a variant, counting additional SNPs, grouping in 10-day frames (omitting data points with small sample size).
3/13
Read 13 tweets
Dec 11, 2022
Are there more variants now?
Geneticwise, mutations are constantly added to the genome as the virus passes between hosts. Until May-June 2022, it was thought that these stepwise additions of mutations were not a result of selection-based evolution, but rather genetic drift.
1/10
In the last half a year, the trend has changed. Now there are stepwise (and saltation) variants accumulating convergent S1 mutations, which seems to give them an advantage. So there is not necessarily an increase in diversity, but rather that this diversity is beneficial.
2/10
convergence is a great marker for the adaptive evol. of this virus. This phenomenon is not new. prior to Omicrons it occurred throughout the genome, not just in the S1 region (Remember M:I82T and the NSP6 sgf del?).
3/10
Read 11 tweets
Oct 24, 2022
I think we now have a visualization problem for SARS-CoV-2 evolution.
So many advantageous variants are rising in main parallel branches worldwide.
This is no Δ21J vs. BA.1. It’s stepwise and on all branches.
I have an idea to make it easier to analyze. But I need help.
Now let’s not get to the reasons for the new evolutionary trend, but it’s here, and it’s getting more complicated.

Take CV.1 or CC.1; if you hear they rise somewhere, will you know that the first is a BA.2.75 sub-lineage and the second is BA.5?

My idea is to add layers over the fantastic tree created by @CorneliusRoemer in which every sample is a synthetic sequence made with the consensus mutations of a specific variant (here for 493 variants evolved from BA.2/4/5)

nextstrain.org/staging/nextcl… Image
Read 13 tweets

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