Interesting!
— Florin (@Florin_Uncovers) February 20, 2022
NAHL Laos was built by USAID PREDICT to work with Metabiota. Daszak says Sep 2018 they were still not allowed to collect samples for Shi at WIV.
Doesn't mean EcoHealth didn't get them before/after directly/indirectly. We know the Navy sampled bats there in 2017.\U0001f642 pic.twitter.com/mVp6dytD6X
EXCLUSIVE: Hunter Biden DID help secure millions in funding for US contractor in Ukraine specializing in deadly pathogen research https://t.co/fFBX7IFcKh
— Daily Mail US (@DailyMail) March 25, 2022
PREDICT: Ecohealth; Metabiota; WIV; found every virus under the Sun in the bat caves in S.China in 2014, but "NONE" at any wet market where humans gather! What was their research really all about?? \U0001f447https://t.co/Qun3IHsdUV pic.twitter.com/7Hb881BxyH
— Keith Evans (@KeithEv84928885) April 29, 2022
24. DTRA Network for Collection of Viruses
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 9, 2021
7. DTRA - Metabiota - One Health - Ecohealth
Bat Research Networks and Viral Surveillance: Gaps and Opportunities in Western Asia pic.twitter.com/SOqSSXF3pa
23. David Mustra can be seen at the 2:34 mark in the video, note: "Metabiota"
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) April 14, 2022
Note: Martha Stokes from DTRA also appears in the video, who will be familiar to some of you from Cambodian Bat Research and BOHRN (with Dr. Jonathan Epstein (EHA).https://t.co/SSawjbdTcC pic.twitter.com/CG8sfoPz61
Metabiota is getting funding from all the wrong placeshttps://t.co/BVs01rQCBr pic.twitter.com/3nuyz0FVaT
— DIY (@mindnotforrent) March 26, 2022
https://t.co/QpHGiNN8Fg
— Daoyu (@Daoyu15) May 31, 2022
In the CAS implementation of DEFUSE, S.E. Asia is clearly in the scope. https://t.co/4th2qCSr3X
Specifically, \u201csamples from surrounding areas of my country and the Belt and Road regions\u201d was set into the scope for the umbrella project where the two CAS
Metabiota/USAID planned visit in Laos in Oct 18
— Gilles Demaneuf (@gdemaneuf) January 11, 2022
p. 39/41 of part 3.@garyruskin pic.twitter.com/NHwK5XXryg
A lot of the South-East Asia USAID/EHA/Metabiota work is coordinated via Bangkok, where Sudarat has been a key trusted partner for many years.
— Gilles Demaneuf (@gdemaneuf) January 11, 2022
The project umbrellas include PREDICT, the Global Virome Project, OneHealth, SEAOHUN and other initiatives. pic.twitter.com/vog2oLd5Vl
#Metabiota were aligned to Government contracts, which in 2014, far out-weighed Commercial contracts. pic.twitter.com/s1oGQlCaNC
— Fools Multiply (@FoolsMultiply) April 6, 2022
How much was passed to #Metabiota ? #InstitutPasteur #UCDavis #Ecohealth #Predict pic.twitter.com/Rrxm9b6gfX
— Fools Multiply (@FoolsMultiply) April 6, 2022
An 2010 RacCS203-associated RdRp. Part of the PREDICT consortium samples. This is proof that IP/PREDICT are in possession of close SARS-CoV-2 relatives in their databanks at least since 2010. Also why this is published so late?
All the diversity in the Shitou cave have been fully sampled, the ~9 Spike proteins and the ~5 representative (within 97% similarity) strains fully tested as by year 2017. A year before DEFUSE. The word \u201c6 asian countries\u201d appeared in the document for 2 times, where the data from
— Daoyu (@Daoyu15) May 31, 2022
In addition, the sequence acquisition step stated that consensus between strains are to be used\u2014in stead of a more highly accurate deep sequencing of (newly acquired) samples, with the workflow explicitly designed to remove sequencing errors by averaging assembled sequences in
— Daoyu (@Daoyu15) June 4, 2022
Stead of sequencing each sample multiple times at a higher depth (which is how high accuracy error-free sequencing is performed by standard). This indicate that the scope of DEFUSE included \u201cQS strains\u201d where only a consensus sequence was available and of which re-sequencing
— Daoyu (@Daoyu15) June 4, 2022
is not possible, a scope that clearly included 1: non-newly-acquired samples. 2: samples that were already fully depleted (and where only sequencing data exists) at the time of the beginning of the program. 3:QS strains where deep sequencing is not conducted and only an assembled
— Daoyu (@Daoyu15) June 4, 2022
sequence was available at the time of the beginning of the program.
— Daoyu (@Daoyu15) June 4, 2022
This represents a great deal of flexibility toward sampling protocol, condition of sample and original experimental protocol, indicating that the scope of the QS recovery operation is intended to span the entire
EHA database\u2014where the majority of the strains within contained only an assembly sequence but neither samples to deep resequenced nor sequencing data that may be used to make a non-multi-strain consensus. Only when the sampling is being done by multiple institutions with a wide
— Daoyu (@Daoyu15) June 4, 2022
variety of protocol and sample condition at sequence release, will you need such a multi-strain consensus protocol, that even explicitly stated that \u201cwe will review past deep sequencing data\u201d, that is clearly designed for generalizability in stead of precision.
— Daoyu (@Daoyu15) June 4, 2022
The protocol for sequence acquisition and recovery is clearly intended for databases that contained a lot of different (un-controllable) experimental procedures in stead of those that contained only a single (specify-able from the project) experimental procedure.
— Daoyu (@Daoyu15) June 4, 2022
Now check this, #NIH's list of labs in low-resource countries. You not gonna believe this, check locations and then compare reported outbreaks past 2 decades \U0001f914\U0001f9d0#BioLabs #USA #NIH #CDC #USAID #DoD #WHO #PasteurInstitute #WorldBank #UNESCO #AFD #JICAhttps://t.co/fZ1Xktf7a1 https://t.co/42hwuNVKBP pic.twitter.com/Zoi4dcHMUr
— Dieda (@DiedaExploring) June 14, 2022
https://t.co/o4QhOeAGDk
— Daoyu (@Daoyu15) May 20, 2022
IP collaboration with WIV\u2026\u2026(IP france. What was the \u201cSARS-like coronaviruses(unpublished data)\u201d? (Contained Yunnan bat samples)
https://t.co/0CMXHB2sKu
— Daoyu (@Daoyu15) May 1, 2022
Also BANAL caves were first sampled in 2017. https://t.co/9NFcvmc6gmhttps://t.co/G5nPPPen8v
None of the reads from even the batflies, part from what that have been aligned to a single Orthoreovirus, have been released. https://t.co/BJx4j5Jq3L https://t.co/aOHh4ZSkfC
"Bats for Peace"? Funded by DTRA...https://t.co/pmFrpgkQEC
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) March 15, 2022
Links to archived documents of interesthttps://t.co/1X86x6sIl7 pic.twitter.com/9A9owXV3tj
EHA is known to use funding intended for one project for other projects—including “unfunded projects”.
This connection between PREDICT, PREDICT-2, IP (Laos, Cambodge, France) and the EHA database (used for DEFUSE), as well as the fact that the EHA splits funding amongst programs internally, is why it takes so long for them to release any data at all, and
The initial expedition with Institut Pasteur du Laos was funded by US Naval MRC and DTRA in support of the US DoD's GEIS. Yes there is a story there, and what happened to the samples from that.https://t.co/2wL5EpSdlV
— Dog's Breakfast (@breakfast_dogs) February 17, 2022
What was the “partners” of IP laos?
https://t.co/kZQhJXH01e
https://t.co/fMNUoYNnoV
https://t.co/hcVNESCpes
https://t.co/GruWYr5F89
Still seems odd Navy is overseer. Especially since a different DOD agency DTRA is EcoH's main funder at $37.86 million. Navy heavy into bat research, funding a Laos bat trip "U.S. Naval Medical Research Center-Asia (NMRC-A)" for "DoD-GEIS\u201d. DoD sure does like bat viruses & EcoH. pic.twitter.com/I0bAypew8H
— sheila (@capitolsheila) November 4, 2021
This 2017 US Navy-funded study of Laos bats turned up lots of stuff the French group isn\u2019t allowed to publish, we hear. French go back in 2020 & now tell world \u201cHey guys, bat cave in Laos has really similar stuff to SARS2.\u201d
— sheila (@capitolsheila) December 10, 2021
Laos bat viruses? DOD?
Secrets in a pandemic? Why? pic.twitter.com/1DXdlVykla
And that\u2019s not all\u2014the EcoHealth grant document also mentions plans for more sampling in SE Asia (including Laos) from Year 3 onwards, as part of their Specific Aims. pic.twitter.com/PUdEE1KZQA
— The Seeker (@TheSeeker268) January 18, 2022
Peter Daszak asked for US-funded virus data to be withheld, FOIAed by @USRightToKnow
— Alina Chan (@Ayjchan) January 11, 2022
"It's extremely important that we don't have these sequences as part of our PREDICT release.. Having them as part of PREDICT will being very unwelcome attention"https://t.co/yooVvKtkaJ pic.twitter.com/IVFJIZ9y1I
Ecohealth also “trained” (established moles inside) “students from the National university of Laos” for their own sampling purposes. PREDICT 2014.
A collaboration was later established between the EHA and the National University of Laos, sacking 69 more bats at the end of 2019 in the PREDICT-2 program.
Also notable is that Shi Zhengli was awarded nearly $1.5 million in January 2018 \u2013 a little more than what Peter Daszak had asked DARPA for WIV\u2019s part of the work (~$1.2 million).https://t.co/qYTWnm1ZVqhttps://t.co/xSpILJeY1Y pic.twitter.com/lHPXay7nW1
— The Seeker (@TheSeeker268) March 13, 2022
\u25cf Sometime in 2018: A chart shows USAID provided $270,969 to Global Virome Project (GVP) pic.twitter.com/LWYhl61xJK
— The Seeker (@TheSeeker268) February 23, 2022
From: Frieman, Matthew
— Jess (@uacjess) May 7, 2022
February 28, 2019
"Inglesby is pushing on the fact that its not reported what it was that was discussed/changed/agreed to during this new approval process that allowed the Yoshi and Fouchier experiments/grants to be approved again." @T_Inglesby pic.twitter.com/PXepYik9xb
2/28/2019
— Jess (@uacjess) May 7, 2022
Ralph Baric
"Thanks for passing this on. It would be of value to hear about the additional safeguards, although I am overall uncertain as to what NIH is doing with SARS and MERS grants, beyond the "general" statement "no PC30 safety concerns". https://t.co/zSh3OHaa9X pic.twitter.com/g1aFRR2wUE
A spike in readership of many articles related to CoVs and FCS happened in mid-late 2019. https://t.co/v1HEss37Ai
Pei-Yong Shi, who works at the University of Texas Medical Branch\u2019s biolab, has been at the DOD/NIH/CDC-funded Texas lab for over 5 yrs.
— sheila (@capitolsheila) June 18, 2022
In addition to visiting the WIV Oct. 19-20, 2019, he also was at China\u2019s newest BSL-4 lab, just as it was getting final certification to open. pic.twitter.com/mxgP0lbL8z
There is plenty there that you may find interesting, especially related to Kunming ABSL-4, the 'old' new BSL-4 in China, compared to the WIV which was the \u2018only **publicly** known P4 lab\u2019 (all wordings from FOI'd emails). pic.twitter.com/KfqMAbPurt
— Gilles Demaneuf (@gdemaneuf) June 19, 2022
More from Daoyu
https://t.co/hXlo8qgkD0
Look like that they got a classical case of PCR Cross-Contamination.
They had 2 fabricated samples (SRX9714436 and SRX9714921) on the same PCR run. Alongside with Lung07. They did not perform metagenomic sequencing on the “feces” and they did not get
A positive oral or anal swab from anywhere in their sampling. Feces came from anus and if these were positive the anal swabs must also be positive. Clearly it got there after the NA have been extracted and were from the very low-level degraded RNA which were mutagenized from
The Taq. https://t.co/yKXCgiT29w to see SRX9714921 and SRX9714436.
Human+Mouse in the positive SRA, human in both of them. Seeing human+mouse in identical proportions across 3 different sequencers (PRJNA573298, A22, SEX9714436) are pretty straight indication that the originals
Were already contaminated with Human and mouse from the very beginning, and that this contamination is due to dishonesty in the sample handling process which prescribe a spiking of samples in ACE2-HEK293T/A549, VERO E6 and Human lung xenograft mouse.
The “lineages” they claimed to have found aren’t mutational lineages at all—all the mutations they see on these sequences were unique to that specific sequence, and are the result of RNA degradation and from the Taq polymerase errors accumulated from the nested PCR process
Look like that they got a classical case of PCR Cross-Contamination.
They had 2 fabricated samples (SRX9714436 and SRX9714921) on the same PCR run. Alongside with Lung07. They did not perform metagenomic sequencing on the “feces” and they did not get
A positive oral or anal swab from anywhere in their sampling. Feces came from anus and if these were positive the anal swabs must also be positive. Clearly it got there after the NA have been extracted and were from the very low-level degraded RNA which were mutagenized from
The Taq. https://t.co/yKXCgiT29w to see SRX9714921 and SRX9714436.
Human+Mouse in the positive SRA, human in both of them. Seeing human+mouse in identical proportions across 3 different sequencers (PRJNA573298, A22, SEX9714436) are pretty straight indication that the originals
Were already contaminated with Human and mouse from the very beginning, and that this contamination is due to dishonesty in the sample handling process which prescribe a spiking of samples in ACE2-HEK293T/A549, VERO E6 and Human lung xenograft mouse.
The “lineages” they claimed to have found aren’t mutational lineages at all—all the mutations they see on these sequences were unique to that specific sequence, and are the result of RNA degradation and from the Taq polymerase errors accumulated from the nested PCR process
@danwalker9999 https://t.co/o8zqouq0HB
Bias, however, is an important problem in the WHO data. Also, an important problem seen in the points being scattered around is that they seems to be pulled toward the Huanan market—it was likely that it was used as the point of origin for the coordinate
System used. https://t.co/KnPRvIN8uK At this level of imprecision, it becomes impossible ti distinguish the Huanan market, the Wuhan CDC, and the Hankou railway station—the last of which is the main transport hub in Wuhan and the only transport hub reachable from the WIV within
1 transfer on the metro system. Cases “unlinked” were mainly clustered north of the Hankou station—which was one of the major exits through the hankou station and one of the transfer stations next to the Hankou railway station. Even connor reed, which is on the east of the
Yangtze river, supposedly have onset in November 2019 (whistleblower case #2), was connected to the WIV directly—it was on the same metro line, line 8, as the WIV. As he is an education worker, he need to commute to Wuchang where the universities are—exposing him to the WIV
Every time he takes line 8 to commute. https://t.co/5TIqOjt2p1
In addition to enforced ascertainment bias toward the market with a retrospective case search that specifically targeted the immediate surrounding of Huanan market, symptomology bias with lineage B created an
Bias, however, is an important problem in the WHO data. Also, an important problem seen in the points being scattered around is that they seems to be pulled toward the Huanan market—it was likely that it was used as the point of origin for the coordinate
System used. https://t.co/KnPRvIN8uK At this level of imprecision, it becomes impossible ti distinguish the Huanan market, the Wuhan CDC, and the Hankou railway station—the last of which is the main transport hub in Wuhan and the only transport hub reachable from the WIV within
1 transfer on the metro system. Cases “unlinked” were mainly clustered north of the Hankou station—which was one of the major exits through the hankou station and one of the transfer stations next to the Hankou railway station. Even connor reed, which is on the east of the
Yangtze river, supposedly have onset in November 2019 (whistleblower case #2), was connected to the WIV directly—it was on the same metro line, line 8, as the WIV. As he is an education worker, he need to commute to Wuchang where the universities are—exposing him to the WIV
Every time he takes line 8 to commute. https://t.co/5TIqOjt2p1
In addition to enforced ascertainment bias toward the market with a retrospective case search that specifically targeted the immediate surrounding of Huanan market, symptomology bias with lineage B created an
https://t.co/TVXC4QOjt0
https://t.co/QnMiOrdNhx
https://t.co/ZK2vfwYEFj
in fact, adaptation in CaLu-3 actually reverses changes that happened in VERO E6. P681 and RRAR is fine-tuned to growth in CaLu-3 cell cultures. P681 guards the cardin-weintraub motif against cleavage in
cell lines.
https://t.co/vytn6YVRYQ
https://t.co/fjg6ZXc2KN
the FCS is perfectly stable in anything that isn't VERO E6 classic or 293T-ACE2. anything that had TMPRSS2 and grown in trypsin-free media stably maintains the FCS.
https://t.co/NUrJ8AndTx
in fact, the PRRARS, as opposed to other mutated cleavage sites--even the "perfect" H5CS--confers the greatest infectivity in CaLu-3 cells.
https://t.co/TVXC4QOjt0
in fact, even P681R or S686G changes were less fit in CaLu-3 compared to PRRA virus--the P681R virus show either no difference or is slightly less effective compared to the P681 virus, and the S686G virus
https://t.co/DNtIR17r4S
https://t.co/nDNNw9OaWd
https://t.co/QnMiOrdNhx
https://t.co/ZK2vfwYEFj
in fact, adaptation in CaLu-3 actually reverses changes that happened in VERO E6. P681 and RRAR is fine-tuned to growth in CaLu-3 cell cultures. P681 guards the cardin-weintraub motif against cleavage in
cell lines.
https://t.co/vytn6YVRYQ
https://t.co/fjg6ZXc2KN
the FCS is perfectly stable in anything that isn't VERO E6 classic or 293T-ACE2. anything that had TMPRSS2 and grown in trypsin-free media stably maintains the FCS.
https://t.co/NUrJ8AndTx
in fact, the PRRARS, as opposed to other mutated cleavage sites--even the "perfect" H5CS--confers the greatest infectivity in CaLu-3 cells.
https://t.co/TVXC4QOjt0
in fact, even P681R or S686G changes were less fit in CaLu-3 compared to PRRA virus--the P681R virus show either no difference or is slightly less effective compared to the P681 virus, and the S686G virus
https://t.co/DNtIR17r4S
https://t.co/nDNNw9OaWd
