It looks like the universe will not let me have a day off.
@Nature just released an Addendum on the WIV's first paper about COVID, explaining what's up with RaTG13, the bat coronavirus most closely related to SARS-CoV-2. nature.com/articles/s4158…
tldr from the Mojiang mine, 293 CoVs found, 9 were SARS CoVs, 1 was RaTG13 first published in 2016 (not cited in their original 2020 @Nature paper). The other 8 SARS CoVs? We have no insight to their sequences!
Why are we hearing about this in mid-Nov 2020 when their paper was released in January, saying that they first found a match in the RdRp between RaTG13 and SARS-CoV-2 and then full genome sequenced RaTG13 to find a 96.2% genome identity match?
Furthermore, the Addendum doesn't explain why the published sequence doesn't match the raw metagenomic and amplicon sequencing trace data. How sure are we that this virus was not synthesized/cultured in the lab, a few base changes were observed and updated in the final genome?
ALSO 13 serum samples were collected from the 4 miners. And apparently these samples still exist and could be re-tested in 2020. Sure, these patients were not infected by SARS-CoV-2 but what about other SARS viruses?
How did they get from "We suspected that the patients had been infected by an unknown virus" to "the fungus turned out to be the pathogen that had sickened the miners, she says it would have been only a matter of time before they caught the coronaviruses" scientificamerican.com/article/how-ch…
I feel like we're playing a game of half-truths. "serum samples collected from 4 patients.. none of the samples gave a positive result (nucleocapsid, SARSr-CoV Rp3)"
Medical thesis: "WIV tested patients serum IgM, positive for virus"
PhD thesis: "4 people had SARS IgG"
郭 (Guo), male, 45 years, consulted Zhong Nanshan on June 19, 2012, died August 13, 2012
刘 (Liu), male, 46 years, consulted Zhong Nanshan on June 19, 2012, discharged Sep 10, 2012
吴 (Wu), male, 30 years, discharged May 28, 2012
李 (Li), male, 32 years, discharged May 28, 2012
PhD thesis from the Chinese CDC Director's lab: 4 people carried SARS IgG antibodies; the 2 discharged patients had higher antibody levels, and the 2 hospitalized patients had lower antibody levels
The lab that performed these tests? The WIV.
Another 4 miners who did not get sick were also tested by Dr. Zhong Nanshan's lab. We do not know whether these miners also had SARS targeting antibodies.
Another interesting line from this PhD thesis from the Chinese CDC Director's lab:
"... the coronavirus spike needs to be cleaved into S1 & S2... the virus is only infectious after this."
Does anyone believe me yet that we need to see what exactly were the communications between the authors, journals, and peer reviewers since January?
I cannot believe that scientific journals are the gatekeepers of info pertinent to national security.
This Addendum is the result of months of back and forth between the authors, @nature and peer reviewers. Does the public have no right to see these exchanges? If there is more information regarding discrepancies in the initially published RaTG13 sample history and sequence?
(1) RaTG13 sequenced years earlier than described & disintegrated. (2) It is connected to SARS-like cases in Mojiang mine, 2012. Connection was obscured. (3) There are 8 more SARS CoVs from that cave - no published sequences. (4) First RaTG13 genome didn't match the raw data.
Aside from these disturbing discrepancies in the sample history and data x published genome of RaTG13, please also see these interesting changes in the conclusion of the Zhou et al. @nature paper over its 9 days from submission to acceptance...
The Jan 23 preprint ended with:
"almost identical sequences of this virus in different patients imply a probably recent introduction in humans..."
@Nature paper instead concludes: "strict regulations against the domestication and consumption of wildlife should be implemented."
In the concluding paragraph, preprint says "we still don’t know if this virus continue evolving and become more transmissible between human-to-human"
@nature paper replaces that line with "the virus is becoming more transmissible between humans" - where's the evidence for this?
Both versions: "The major differences in the sequence of the S gene of 2019-nCoV are the three short insertions in the N-terminal domain as well as changes in four out of five of the key residues in the receptor-binding motif"
What about the FCS?
I'm just saying, if SARS2 had a 100% natural origin, why would one of the top SARS labs in the world gloss over the obviously novel S1/S2 FCS insertion in the new virus, and obfuscate the sample history of the 96% identical RaTG13/4991 (connection to SARS-like cases in 2012)?
Discovered a novel SARS virus with never-seen-before FCS insertion in SARSCoVs. No need to mention that.
96% match to 1 of 9 SARS viruses from a mine that labs been persistently sampling since 2013 due to unresolved SARS-like cases. Write paper like RaTG13 sequenced post-covid.
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On the covid data sharing debate, I believe that the context of a raging pandemic killing millions of people should be considered 1st. If a scientist finds that there is rapid virus adaptation in minks, must they seek permission or wait for the data providers to publish first?
I know that some scientists on both sides of this issue think that the same data sharing protocol applies to pandemic data as it does to non-pandemic data. But I don't think so.
Pandemic data should be shared in real time, analyzed in real time, publish/preprinted in real time.
In non-pandemic times, it makes sense to let the data provider take precedence; no urgency.
But in pandemic times, if you can do the analysis differently, faster, or better, shouldn't it be released ASAP? Especially if data is already shared only months after sample collection?
Pandemic rages. Meanwhile scientists are fighting about what open data sharing means and whether you can publish analysis using someone's data if part of their dataset has not yet been published.
Scientists often keep data private so that they can publish in high impact journals and avoid others beating them in the publication race.
If you share data pre-publication, others are likely to swoop in and you lose your advantage.
In the pandemic, we've seen scientists really step up their data sharing generosity. It's the only way global databases @GISAID, public resources @nextstrain@CovidCg can provide big picture, powerful analyses of SARS2. So many analyses have been run on unpublished sequences.
“if a similar phenomenon of host adaptation had occurred upon its jump into humans, those human-specific mutations would likely have reached fixation.. before the first SARS-CoV-2 genomes were generated.” 🙏🏻 @LucyvanDorp @BallouxFrancois biorxiv.org/content/10.110…
"The secondary host jump from humans into minks offers a glimpse into the window of early viral host adaptation of SARS-CoV-2 to a new host that has likely been missed at the start of the COVID-19 pandemic... and point to rapid adaptation of SARS-CoV-2 to a new host." 💯🔥
"pandemic is understood to have been caused by a unique host jump into humans from a single yet-undescribed zoonotic source in the latter half of 2019"
How does this fit with: "human-specific mutations would likely have reached fixation.. before the first SARS-CoV-2 genomes" 🤔
@washingtonpost Opinion article by their editorial board.
"there are troubling questions in China that must be examined, including whether the coronavirus was inadvertently spread in an accident or spill from the Wuhan Institute of Virology" washingtonpost.com/opinions/globa…
@washingtonpost@PostOpinions I wanted to point out that the @TheLancet commission to identify COVID origins is chaired by the president of @EcoHealthNYC who has a massive conflict of interest wrt the WIV.
I have concerns regarding how rigorous and productive @TheLancet 's investigation of lab origins will be. Considering that Dr. Daszak did not even know until recently that the closest full virus to SARS-CoV-2 had been actively sequenced in the WIV between 2017-2018.
Will do a thread today explaining the different types of covid tests, how they work, and what this means for false positives/negatives. fortune.com/2020/11/13/elo…
The first thing is to see what this virus is- at its core, it stores its genetic material, RNA (no DNA). This RNA is the blueprint for all of the proteins shown in this picture: N which wraps the RNA, the spike which sticks out from the virus and binds host cells, M, E etc.
Sorry, quick caffeine break. I overestimated my Saturday morning energy levels.
Accelerated Evolution of SARS-CoV-2 in an Immunocompromised Host - reading for tomorrow nejm.org/doi/full/10.10…
Being a nerd, the first thing I did was to check if all of the spike mutations in the covid patient with "accelerated evolution" have been detected before in the 200K+ SARS-CoV-2 genomes on @GISAID using the @CovidCg browser covidcg.org nejm.org/doi/full/10.10…
The answer is yes, all of the spike mutations shown in their figure except for N440D have been seen before, albeit there are other mutations at N440 (Y or K) that have been detected.