A Duty To Warn

Liberty Bell

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ASM Defends Science-Based Health Policy in Letter to Executive Branch

"July 14, 2020

In response to a coordinated effort to discredit public health officials, ASM, the Association of Public Health Laboratories (APHL) and the Infectious Diseases Society of America (IDSA) issued the following letter to Vice President Pence demonstrating support for public health officials who are prioritizing science-based public health strategies to address the COVID-19 pandemic​.


Dear Vice President Pence:

During a national public health emergency, it is vital that we lead with science and with the best data available. Our continued response to and successful recovery from the COVID-19 crisis depends on adherence to sound scientific and public health guidance from the experts, including Dr. Anthony Fauci, who have made the health and safety of the public the top priority.

As organizations representing thousands of researchers, public health professionals, health care providers and others serving in scientific and health care professional fields, we object to any attempt to cast doubt on science and sow mistrust for public health expertise, and to spread misinformation during this challenging time for all Americans. Such efforts not only put the health of our population in greater peril, but also undermine the work underway to move our country beyond the pandemic and return to normalcy.

SARS-CoV-2 is a novel virus and COVID-19 is a new condition with which we have no prior experience. As is the case with any new pathogen or disease, we are learning in real time. Public health and medicine are inherently dynamic fields that adapt as the science evolves. We have embarked on an unprecedented global effort to develop medical countermeasures and refine public health guidance, and as this work uncovers new knowledge, recommendations can and will change. By heeding the recommendations of those who are on the front lines of progress to combat this virus, we have the best chance at a successful outcome.


Sincerely,

American Society for Microbiology
Association of Public Health Laboratories
Infectious Diseases Society of America
AcademyHealth
African American Health Alliance
American Academy of HIV Medicine
American Association for Anatomy
American Association for Dental Research
American Association for Respiratory Care
American Association for the Advancement of Science
American Association of Colleges of Pharmacy
American Association of Immunologists
American Association of Physics Teachers
American Institute of Biological Sciences
American Physiological Society
American Public Health Association
American Society for Cell Biology
American Society for Clinical Pathology
American Society for Investigative Pathology
American Society for Reproductive Medicine
American Society for Virology
American Society of Hematology
American Society of Pediatric Nephrology
American Society of Tropical Medicine and Hygiene
American Sociological Association
American Thoracic Society
Association for Psychological Science
Association of American Cancer Institutes
Association of Nurses in AIDS Care
Association of Schools and Programs of Public Health
AVAC
Baruch S. Blumberg Institute
Big Cities Health Coalition
Biophysical Society
Black AIDS Institute
Center for Health Law and Policy Innovation
Coalition for the Life Sciences
Consortium of Universities for Global Health
Council of Scientific Society Presidents
Cure HHT
Endocrine Society
Genetics Society of America
Hepatitis B Foundation
HIV Medicine Association
Institute for Systems Biology
Institute of Food Technologists
International Society for Stem Cell Research
Jeffrey Modell Foundation
LUNGevity Foundation
NASTAD
National Association of County and City Health Officials
Natural Science Collections Alliance
NETWORK Lobby for Catholic Social Justice
Prevention Institute
Safe States Alliance
Sigma Xi, The Scientific Research Honor Society
Society of General Internal Medicine
Society of Infectious Diseases Pharmacists (SIDP)
Society of Toxicology
STChealth LLC
The Histochemical Society
Treatment Action Group
Trust for America's Health
Vaccinate Your Family
Washington State Department of Health
AIDS Foundation Chicago
American Statistical Association
North Carolina AIDS Action Network
IRMA - International Rectal Microbicide Advocates
HealthHIV
Positive Women's Network-USA
National Coalition for LGBT Health
The Well Project
Cascade AIDS Project
Latinos Salud
Entomological Society of America
AIDS Alabama
San Francisco AIDS Foundation
American Crystallographic Association
North American Vascular Biology Organization
American College of Nuclear Medicine (ACNM)
AIDS United
AIDS Action Baltimore
International Association of Providers of AIDS Care
WVU Health Sciences Center
American Society for Gravitational and Space Research
International Association of Providers of AIDS Care
Institute of Mathematical Statistics
American Urological Association
The AIDS Institute
IAVI
Society for Healthcare Epidemiology of America
Association for Professionals in Infection Control and Epidemiology
American Medical Technologists
Federation of American Scientists
Pan American Society for Clinical Virology
Association of American Medical Colleges
North American Society for Pediatric Gastroenterology, Hepatology and Nutrition
National Association of School Nurses
AIDS Alliance for Women, Infants, Children, Youth & Families
International Mammalian Genome Society
International Society on Thrombosis and Haemostasis (ISTH)"

On The Origin Of The Home Of COVID-19 - 12

Fig. 1 What if the 'V' is a symbiotic virus?

I. Background

In this series Dredd Blog has pointed out the "understudied" and "not well understood" aspects of "the home" of viruses in the sense of "the home" being "the host microbe" (see Fig. 1).

Strong circumstantial evidence has been provided to support the hypothesis.

As a result the industry that Dredd Blog hypothesizes as being the culprit has produced a frenzied media storm to divert the attention and the research.

The bulk of literature in the Commentariat insinuates by repetition that all viruses inhabit the zone outside of single-cell microbes, and have to break into (infect) single-cell microbes in order to be replicated.

In other words, the bias of the Commentariat often bends the scientific research to make it more 'palatable', so the fact of the majority of viruses being inside single cell microbes as symbionts (mutualist, commensal) is under-reported and/or misreported (A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology).

There are many examples.

First, notice the "Abstract" of a paper which indicates, concerning viruses, that we are not at war with a universal enemy out to get us:

"Much attention has focused on commensal bacteria in health and disease, but the role of commensal viruses is understudied. Although metagenomic analysis shows that the intestine of healthy humans and animals harbors various commensal viruses and the dysbiosis of these viruses can be associated with inflammatory diseases, there is still a lack of causal data and underlying mechanisms to understand the physiological role of commensal viruses in intestinal homeostasis. In the present study, we show that commensal viruses are essential for the homeostasis of intestinal intraepithelial lymphocytes ..."

(Nature, emphasis added). The commercial Commentariat influenced by advertising revenue, persists in making all viruses and bacteria out to be bad enemies ("the yellow peril", the "China virus").

That is not the complete picture, it is a cover up and/or a diversion, because it is not a true picture.

There is more substantial evidence for the Dredd Blog hypothesis:

"The coronavirus may have been lying dormant across the world until emerging under favourable environmental conditions, rather than originating in China, an expert has claimed.

Dr Tom Jefferson, from the Centre for Evidence-Based Medicine (CEBM) at Oxford University, has pointed to a string of recent discoveries of the virus’s presence around the world before it emerged in Asia as growing evidence of its true origin as a global organism that was waiting for favourable conditions to finally emerge.

Traces of COVID-19 have been found in sewage samples from Spain, Italy and Brazil which pre-date its discovery in China. A preprint study, which has not been peer reviewed, claims to have found the presence of SARS-CoV-2 genomes in a Barcelona sewage sample from 12 March 2019."

(The coronavirus may not have originated in China, says Oxford professor, emphasis added; cf. The biggest mystery: what it will take to trace the coronavirus source, Animal source of the coronavirus continues to elude scientists).

The SARS-CoV-2 origin is not really known because of the bias built into the system:

"The emergence of SARS-CoV-2 in late 2019 and its subsequent global spread has led to millions of infections and substantial morbidity and mortality. Coronavirus disease 2019 (COVID-19), the clinical disease caused by SARS-CoV-2 infection, can range from mild self-limiting disease to acute respiratory distress syndrome and death. The mechanisms underlying the spectrum of COVID-19 disease severity states, and the nature of protective immunity against COVID-19 currently remains unclear."

(Selective and cross-reaction). That paper assumes that the people they were testing (who had indications of some exposure to SARS-CoV-2, i.e. similar T-cell characteristics) had not been exposed.

That is a flawed assumption IMO (Italy’s sewage water shows SARS-CoV-2 present prior to reported outbreak in Wuhan, Coronavirus found in Paris sewage points to early warning system, How sewage could reveal true scale of coronavirus outbreak).

The hypothesis this series has been advancing is that any number of commensal viruses are inside single-cell microbes because that is their home (see Fig. 1).

When their single-celled home is invaded and destroyed by antibiotics or other toxins, the world of commensal viruses is upended, and they can then become pathogenic (kinda like PTSD for otherwise stable viruses).

The mechanism for this upsetting (dysbiosis) in the microbiome is the mass-production-of-food industry (i.e. the "mass slaughtering of cows, pigs, and chickens" industry).

Not content with selling the muscle and fat,  "the industry" exports offal to other countries where it is used as food for people and feed on fur bearing animal farms, etc. (On The Origin Of The Home Of COVID-19 - 11).

II. The Battlefield

So, Dredd Blog has focused on the mass-production-of-food industry as an integral part of the current COVID-19 pandemic.

There is scientific research supporting that hypothesis in recent published papers, for example from Nature magazine:

"Editorial Summary

Minor role for host genetics in shaping the microbiota

The composition of the human gut microbiome is determined by many factors. Eran Segal and colleagues performed an extensive statistical analysis of the largest metagenomics-sequenced human cohort so far to determine the contribution of host genotype to microbiome composition. Host genetics has only a minor influence on microbiome variability, which is more strongly associated with environmental factors such as diet. The authors propose a 'microbiome-association index' that describes the association of the microbiome with host phenotype. Combining this measurement with host genetic and environmental data improves the accuracy of predictions about several human metabolic traits, such as glucose and obesity traits."
...
"A wealth of evidence suggests that this incredibly diverse microbial community is regulated by host genetic factors, and more importantly, environmental and dietary factors (4–6)"."

(Environment dominates over host genetics in shaping human gut microbiota, Nature, emphasis added). The papers cited to in that Nature piece echo the science involved:

"Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds."

(Nature, 2018, emphasis added). This is common knowledge in the field of Epigenetics (On The Origin of Genieology, The Uncertain Gene - 11).

So, the mass food producers (using an army of antibiotics and other chemicals) wage war on the gut and other microbiota that engenders dysbiosis, then they sell the offal, which in turn drives the ill gotten profits of "the industry" (and some portion of the "health industry" as well).

III. Appendices

I am providing links to previous appendices which highlight virus comparisons involving different geographical locations as well as as highlighting different species.

The thing to notice is the ~99% and ~100% matches in SARS-CoV-2 DNA/RNA in those various countries and species.

Remember as you view them that the species have a similar diet to the humans (e.g. cows, pigs, and poultry) as indicated previously (On The Origin Of The Home Of COVID-19 - 10).

GenBase Identity	Appendix Location
MT276327	Appendix A
MT276327	Appendix B
MN997409	Appendix C
MN997409	Appendix D

IV. Closing Comments

Think about it.

Think about the Epigenetic diet of offal which the minks and other animals were fed to "grow" them for their fur.

Think about the people and animals who have 99-100% matching SARS-CoV-2 DNA/RNA in them.

Think about their diet.

Do the humans eat beef, pork, chicken that come from the mass-produced meat, and do the animals eat the offal of the beef, swine, and poultry?

We know that the workers who handle and eat the meats have the same SARS-CoV-2 DNA/RNA in them.

Think about it.

Just sayin' ...

The next post in this series is here, the previous post in this series is here.

On The Origin Of The Home Of COVID-19 - 11

Fig. 1 History of Virology

I. Where is Virology Today?

Concerning SARS-CoV-2, there are a lot of reasons why the origin of the virus is still unclear, and whether or not pets and livestock can be infected and transmit SARS-CoV-2 also remains unclear.

Even though these are important public safety issues, according to the powers that be, they are still considered to be unknown scientific questions (Journal of Virology).

II. Where Virology Used To Be

Once upon a time the medical world, in terms of Virology, was accursed by a bit of pseudo-science:

"Koch's postulates have played an important role in microbiology, yet they have major limitations. For example, Koch was well aware that in the case of cholera, the causal agent, Vibrio cholerae, could be found in both sick and healthy people, invalidating his first postulate. Furthermore, viral diseases were not yet discovered when Koch formulated his postulates, and there are many viruses that do not cause illness in all infected individuals, a requirement of the first postulate."

(Koch's postulates, emphasis added).  A falsified hypothesis was a controlling factor back in the day, so now "we have improved into what?" one must wonder.

III. Where Is Virology Going?

Over a century later Virology, as it relates to mammals, is still suffering:

"In 1999, P. Griffiths broached the concept of commensal viruses, concluding in the speculative editorial that ‘we should not exclude the possibility that commensal viruses may exist’. Where are we, almost 20 years later?"

(The concept of commensal viruses almost 20 years later). It is a good question with a less than 'good' answer:

"Much attention has focused on commensal bacteria in health and disease, but the role of commensal viruses is understudied. Although metagenomic analysis shows that the intestine of healthy humans and animals harbors various commensal viruses and the dysbiosis of these viruses can be associated with inflammatory diseases, there is still a lack of causal data and underlying mechanisms to understand the physiological role of commensal viruses in intestinal homeostasis."

(Nature, emphasis added). This lack of attention has an impact upon, among other things, enteric (intestinal) Virology:

"Viruses affect host physiology beyond causing acute disease, thereby giving rise to the concept that the virome is a component of the microbiome. However, the role of the enteric virome is understudied relative to the fast-paced research examining commensal bacteria in the intestine. In this article, I discuss our recent work on murine norovirus indicating that an animal virus in the intestine can provide many of the signals to the host that have been attributed to commensal bacteria. Our findings suggest that the surge in microbiome research should incorporate examination of the enteric virome."

(Expanding the Role of the Virome: Commensalism in the Gut). How such important issues still remain understudied after 120 years is perplexing.

IV. Who Does The Lack Of Sufficient Study Benefit?

I pointed out several factors in the previous post of this series as to why research is not done on the 'factory farming agriculture' industry.

One factor is that all too often research funding is supplied by "interested parties", so in that sense the reason for the dearth in critical research is not a great mystery (On The Origin Of The Home Of COVID-19 - 10).

In important respects, it should be noted, Virology concerning flora has not suffered as badly from Koch's Postulates as other sections of the discipline have:

"Virus ecology takes a different look at viruses, from the standpoint of how they affect their hosts׳ interactions with the environment. Using the framework of symbiotic relationships helps put the true nature of viruses into perspective. Plants clearly have a long history of relationships with viruses that have shaped their evolution."

(Plants, viruses and the environment: Ecology and mutualism). The host of a plant virus is traced to a single-cell microbe, but the host of a virus in the animal factory realm is traced to what is really a meta-host.

Yes, a cow, pig, or chicken, for example, are considered to be "the host" when mammalian viruses are discussed (I call them meta-hosts).

This distancing from the host cell of viruses carries on over into technological breakthroughs, so technological breakthroughs do not always mean public health breakthroughs:

"With the advent of the powerful and inexpensive next generation technologies for DNA sequencing, virus metagenomics has been rapidly expanding and transforming our understanding of virus diversity, ecology, evolution and taxonomy ... Although RNA viruses lag behind DNA viruses relative to the volume of the generated metagenomic data, substantial recent progress in this field challenges the existing concepts of RNA virus origins and evolutionary pathways. Thus, an attempt to re-evaluate these concepts appears to be timely."

(Metagenomics reshapes the concepts of RNA virus evolution by revealing extensive horizontal virus transfer). Again, as pointed out in the previous post of this series, big business and politics determine what to study and what not to (and how to use or not use what we have learned).

The warmongering psychology of the military ignores the reality that not all of the citizens of other nations are out to destroy us,  and the psychology of Virology ends up being a war upon all viruses:

"Although viruses are most often studied as pathogens, many are beneficial to their hosts, providing essential functions in some cases and conditionally beneficial functions in others. Beneficial viruses have been discovered in many different hosts, including bacteria, insects, plants, fungi and animals. How these beneficial interactions evolve is still a mystery in many cases but, as discussed in this Review, the mechanisms of these interactions are beginning to be understood in more detail."

(The good viruses: viral mutualistic symbioses). Fear and paranoia are not a good foundation for scientific research.

V. Appendices (Virus DNA/RNA)

Fig. 2 Nucleobase/nucleic acid sequence comparisons

The appendices to this post are high-percentage comparisons of virus nucleotide MT276327 and virus nucleotide MN997409 with a plethora of other virus nucleotides from different countries and USA states.

Not only that, the viruses compared to MT276327 & MN997409 were extracted from various mammals and humans from around the globe.

The comparisons are for: 1) genome length, 2) matching genome segments (10 element segments), and 3) nucleotide to nucleotide (Fig. 2 shows an example of typical nucleotide to nucleotide (the"ABC's" of ACGT's) comparison results).

I think that readers, as I was, will be astounded at the exactness and near exactness of one virus DNA/RNA to another even though they were extracted thousands of miles from one another in many cases (not to mention the human to animal comparisons).

Here is the menu with links to the appendices:

GenBase Identity	Appendix Location
MT276327	Appendix A
MT276327	Appendix B
MN997409	Appendix C
MN997409	Appendix D

VI. Where not to look for the home of SARS-CoV-2

The three videos below contain similar subject matter.

That is, they are either about hosts of viruses (single-cell microbes) or about viruses themselves.

Each one mentions antibiotics and the dangers of overuse.

They focus light on the dynamics of antibiotics killing the single-cell microbe hosts of viruses (causing the viruses to be cast out of their habitat to become like a space ship that gets lost in the great depths of space).

The bottom line is that the "home" of SARS-CoV-2 is the single-cell microbe or microbes continually killed by antibiotics.

VII. A Good Microbe's Death Means

The Emergence of Pathogenic Viruses

About six years I wrote:

We are also finding out that viruses and microbes are essential for human and other life forms:

Today, we are at the edge of a main turning point in understanding biological processes. The prevailing central dogma of molecular biology of the last 50 years is no more than a subordinate clause, relevant only to a small fraction of reality.
...
Now, the new renaissance of viruses is taking centre stage. Research data from the last decade indicate the important roles of viruses, both in the evolution of all life and as symbionts or co-evolutionary partners of host organisms. There is increasing evidence that all cellular life is colonized by exogenous and/or endogenous viruses in a non-lytic but persistent lifestyle. Viruses and viral parts form the most numerous genetic matter on this planet.
...
To understand their competence in natural genome editing, we have to look not only at their linguistic competence in editing and regulating correct nucleotide sequences, but also at their communicative competence, that is, how they interact with each other, how they compete within host organisms, how they symbiotically interact with host organisms to ward off

competing parasites, how they generate de novo sequences and what life strategies they share. Exactly these features are presented in this volume. Persistent infection lifestyles that do not harm hosts, and symbiotic, cooperating viral swarms, may be more successful in evolutionary terms for integrating advantageous phenotypes into host organisms than are “selfish” agents. Increasing empirical data about the abundance of viruses and virus-derived parts in the ecosphere of this planet, and their roles in the evolution and developmental processes of cellular life forms at the level of the microscopic processes of replication, transcription, translation, alternative splicing, RNA-editing, epigenetics and repair, raise a fundamental question concerning a crucial decision about how to define and explain life ...

(Viruses: Essential Agents of Life, at viii-ix; see also this). This we find out at a time when we are so paranoid about them that all we want to do is make war on them and quarantine those of us we think are the only ones exposed to them (Obola: Art Thou Dying Properly?).

(The Real Dangers With Microbes & Viruses). Six years ago seems so recent for some reason (because I really like sharing discoveries with others?).

VIII. Closing Comments

So what have we, Dredd Blog readers and I, learned in the past six years?

Putting the three videos together, I note that: 

(1) it takes a great number of pathogenic bacteria to mount a successful attack on us (Bonnie Bassler) and that the same reality goes for viruses, (2) we do not become sick until that happens (each person will tend to resist various quantities of pathogens, based on our individual immune system's capacity), (3) when we don't wear masks and subsequently pass pathogens to others, we do not pass the full amount it takes to cause the disease, but we add to the quantity (which may or may not add up to the critical number in that other person or persons), (4) the pathogens know when they have enough to do damage by way of communication (quorum sensing - bacteria; quorum sensing - viruses; see also this).

The next post in this series is here, the previous post in this series is here.

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Videos: (1) microbes, (2) bacteriophages, (3) other good microbes ...

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Appendix MT276327 A

This is an appendix to:  On The Origin Of The Home Of COVID-19 - 11

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Searching For:
"SARS coronavirus 2
isolate SARS-CoV-2
GA_2742
2020
USA: GA
Homo sapiens
SARS-related coronavirus"(vHS)

In Animal genomes(vAN):

Virus Code vHS : vAN	GenBank Map Id vHS : vAN	Virus Len vHS:vAN vHS in vAN segs:pct Nucleotides vHS in vAN count : pct	vAN Information
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT324684	29882: 29889 2973: 99.5% 29865: 99.9%	SARS coronavirus 2 isolate SARS-CoV-2 ENV/USA/UF-3 2020 United States USA 2020 [metahost(s): human+vertebrates taxo: SARS coronavirus 2 lineage: Coronaviridae> Betacoronavirus> SARS-related coronavirus]
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT457400	29882: 29890 2977: 99.6% 29869: 100.0%	SARS coronavirus 2 isolate SARS-CoV-2 mink/NED/NB03/index 2020 Netherlands NLD 2020 [metahost(s): human+vertebrates taxo: SARS coronavirus 2 lineage: Coronaviridae> Betacoronavirus> SARS-related coronavirus]
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: NC_045512.2	29882: 29903 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate Wuhan-Hu-1
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: LC549340.1	29882: 29903 2981: 99.8% 29874: 100.0%	sars coronavirus 2 TKY3583 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT539729.1	29882: 29895 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 environment/USA/UF-12 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT457400.1	29882: 29890 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 mink/NED/NB03/index 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: LC542976.1	29882: 29903 2978: 99.7% 29870: 100.0%	sars coronavirus 2 TKYE6968 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: LC542809.1	29882: 29903 2981: 99.8% 29872: 100.0%	sars coronavirus 2 TKYE6947 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT324684.1	29882: 29889 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 ENV/USA/UF-3 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT184910.1	29882: 29882 2975: 99.6% 29867: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-23 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT184911.1	29882: 29882 2972: 99.5% 29864: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-24 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT184912.1	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-25 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT184913.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-26 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: LC529905.1	29882: 29903 2979: 99.7% 29871: 100.0%	sars coronavirus 2 TKYE6182 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT118835.1	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA9 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT106052.1	29882: 29882 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA7 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT106053.1	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA8 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT106054.1	29882: 29882 2975: 99.6% 29867: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-TX1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT044257.1	29882: 29882 2975: 99.6% 29867: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-IL2 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT039887.1	29882: 29879 2980: 99.7% 23062: 77.2%	sars coronavirus 2 isolate 2019-nCoV USA-WI1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT039888.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-MA1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT039890.1	29882: 29903 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SNU01
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT027062.1	29882: 29882 2980: 99.7% 29871: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA3 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT027063.1	29882: 29882 2980: 99.7% 29871: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA4 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT027064.1	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA5 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT019529.1	29882: 29899 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-01 2019
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT019530.1	29882: 29889 2979: 99.7% 29868: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-02 2019
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT019531.1	29882: 29899 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-03 2019
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT019532.1	29882: 29890 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-04 2019
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT019533.1	29882: 29883 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-05 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT020781.2	29882: 29806 2973: 99.5% 29796: 100.0%	sars coronavirus 2 isolate nCoV-FIN-29-Jan-2020 Finland FIN 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT020880.1	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-WA1-A12 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT020881.1	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-WA1-F6 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MT007544.1	29882: 29893 2977: 99.6% 29778: 99.7%	sars coronavirus 2 isolate Australia VIC01 2020 Australia AUS 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN996528.1	29882: 29891 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate WIV04
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN994467.1	29882: 29882 2975: 99.6% 29867: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-CA1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN994468.1	29882: 29883 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA2 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN997409.1	29882: 29882 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-AZ1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN988713.1	29882: 29882 2974: 99.5% 29866: 99.9%	sars coronavirus 2 isolate 2019-nCoV USA-IL1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN975262.1	29882: 29891 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate 2019-nCoV HKU-SZ-005b 2020
SC-HS-CG-DN: SC-AN-CG-DN	MT276327: MN908947.3	29882: 29903 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate Wuhan-Hu-1

Appendix MT276327 B

This is an appendix to:  On The Origin Of The Home Of COVID-19 - 11

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Searching For:
"SARS coronavirus 2
isolate SARS-CoV-2 GA_2742
2020
USA: GA
Homo sapiens
SARS-related coronavirus"(vHS)

In other Human genomes(vHS*):

Virus Code vHS : vHS*	GenBank Map Id vHS : vHS*	Virus Len vHS:vHS* vHS in vHS* segs:pct Nucleotides vHS in vHS* count : pct	vHS* Information
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325606.1	29882: 29882 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3569 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325607.1	29882: 29882 2972: 99.5% 29864: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3575 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325608.1	29882: 29882 2971: 99.4% 29862: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/6370 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325609.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/UT/8199 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325610.1	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/UT/8906 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325611.1	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA/6352 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325612.1	29882: 29882 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA/6377 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325613.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA/6382 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325614.1	29882: 29882 2984: 99.9% 29877: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA/6389 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325615.1	29882: 29882 2984: 99.9% 29877: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6391 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325616.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3623 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325617.1	29882: 29882 2985: 99.9% 29878: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6396 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325618.1	29882: 29882 2984: 99.9% 29877: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6395 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325619.1	29882: 29882 2985: 99.9% 29878: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6401 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325620.1	29882: 29882 2985: 99.9% 29878: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6399 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325621.1	29882: 29882 2985: 99.9% 29878: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IA/6390 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325622.1	29882: 29882 2981: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/NJ/3201 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325623.1	29882: 29882 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3520 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325624.1	29882: 29882 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3570 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325625.1	29882: 29882 2973: 99.5% 29864: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3571 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325626.1	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/SC/3572 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325627.1	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/NY/1922 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325628.1	29882: 29882 2975: 99.6% 29867: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA/6171 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325629.1	29882: 29882 2983: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/8932 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325630.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/8933 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325631.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/9703 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325632.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/9704 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325633.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/9889 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325634.1	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/1355 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325635.1	29882: 29882 2983: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/2652 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325636.1	29882: 29882 2983: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3614 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325637.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3616 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325638.1	29882: 29882 2984: 99.9% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3626 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325639.1	29882: 29882 2983: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3642 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT325640.1	29882: 29882 2984: 99.9% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/MA/3653 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT326178.1	29882: 29903 2979: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW-1595 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT326187.1	29882: 29919 2974: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW-1294 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT326190.1	29882: 29913 2980: 99.7% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW-1436 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT328032.1	29882: 29903 2984: 99.9% 29879: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/GRC/10 2020 Greece GRC 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT328033.1	29882: 29875 2985: 99.9% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/GRC/12 2020 Greece GRC 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT328034.1	29882: 29884 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/GRC/16 2020 Greece GRC 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT328035.1	29882: 29903 2985: 99.9% 29880: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/GRC/13 2020 Greece GRC 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT322424.1	29882: 29903 2981: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/VA-DCLS-0046 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT320538.2	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/FRA/KRA-ROB 2020 France FRA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304474.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/KOR/BA-ACH/2604 2020 South Korea KOR 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304475.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/KOR/BA-ACH/2718 2020 South Korea KOR 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304476.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/KOR/BA-ACH/2719 2020 South Korea KOR 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304477.1	29882: 29882 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/AZ/4811 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304478.1	29882: 29882 2985: 99.9% 29880: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/FL/6318 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304479.1	29882: 29882 2985: 99.9% 29880: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/GA/1299 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304480.1	29882: 29882 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/GA/1320 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304481.1	29882: 29882 2973: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/GA/1445 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304482.1	29882: 29882 2982: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IL/1293 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304483.1	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/IL/1375 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304484.1	29882: 29882 2981: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/NH/0004 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304485.1	29882: 29882 2981: 99.8% 29874: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/NH/0008 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304486.1	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/NY/2929 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304487.1	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/OR/5430 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304488.1	29882: 29882 2983: 99.8% 29876: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/RI/0556 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304489.1	29882: 29882 2969: 99.4% 29861: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/TX/2039 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304490.1	29882: 29882 2982: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/TX/2817 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT304491.1	29882: 29882 2978: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/TX/2967 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT281577.1	29882: 29903 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/Fuyang/FY002 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276323.1	29882: 29882 2982: 99.8% 29875: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/RI/0520 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276324.1	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CA/2602 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276325.2	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA/5030 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276326.2	29882: 29882 2987: 100.0% 29882: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/GA/2741 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276327.1	29882: 29882 2987: 100.0% 29882: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/GA/2742 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276328.2	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/OR/2656 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276329.1	29882: 29882 2985: 99.9% 29880: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/FL/5125 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT276330.2	29882: 29882 2976: 99.6% 29867: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/FL/5091 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262896.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH2 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262897.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH3 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262898.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH4 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262899.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH5 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262900.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH6 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262901.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH7 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262902.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH8 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262903.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH9 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262904.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH10 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262905.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH11 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262906.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH12 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262907.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH14 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262908.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH17 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262909.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH18 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262910.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH19 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262911.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH20 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262912.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH21 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262913.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH22 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262914.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH24 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262915.1	29882: 29882 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH13 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT262916.1	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-NH23 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT263396.1	29882: 29903 2976: 99.6% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW315 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT263459.1	29882: 29917 2977: 99.6% 29863: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW380 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT246460.1	29882: 29917 2982: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW203 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT246462.1	29882: 29903 2974: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA-UW205 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT226610.1	29882: 29899 2960: 99.1% 29846: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/KMS1 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT192772.1	29882: 29891 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/VNM/nCoV-19-01S 2020 Vietnam VNM 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT184907.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-19 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT184908.2	29882: 29882 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-21 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT184909.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-22 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT163716.1	29882: 29903 2973: 99.5% 29861: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA3-UW1 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT163718.1	29882: 29903 2975: 99.6% 29863: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA6-UW3 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT163719.1	29882: 29903 2976: 99.6% 29868: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/WA7-UW4 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT066156.1	29882: 29867 2978: 99.7% 29856: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/ITA/INMI1 2020 Italy ITA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT121215.1	29882: 29945 2981: 99.8% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/SH01 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159705.2	29882: 29882 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-7 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159706.2	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-8 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159707.2	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-10 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159708.2	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-11 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159709.2	29882: 29882 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-12 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159710.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-9 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159711.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-13 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159712.2	29882: 29882 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-14 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159713.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-15 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159714.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-16 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159715.2	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-17 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159717.2	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-1 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159718.2	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-2 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159719.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-3 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159720.2	29882: 29882 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-4 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159721.2	29882: 29882 2981: 99.8% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-5 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT159722.2	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/CruiseA-6 2020 United States USA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT135041.1	29882: 29903 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/105 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT135042.1	29882: 29903 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/231 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT135043.1	29882: 29903 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/233 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT135044.1	29882: 29903 2978: 99.7% 29870: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/235 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT126808.1	29882: 29876 2978: 99.7% 29864: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/BRA/SP02 2020 Brazil BRA 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT123292.2	29882: 29923 2977: 99.6% 29862: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/IQTC04 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT093571.1	29882: 29886 2976: 99.6% 29867: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 human/SWE/01 2020 Sweden SWE 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT066175.1	29882: 29870 2980: 99.7% 29860: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 NTU01/TWN/human 2020 Taiwan TWN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT066176.1	29882: 29870 2980: 99.7% 29860: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 NTU02/TWN/human 2020 Taiwan TWN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MT049951.1	29882: 29903 2977: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/CHN/Yunnan-01 2020 China CHN 2020
SC-HS-CG-DN: SC-HS-CG-DN	MT276327: MN985325.1	29882: 29882 2979: 99.7% 29871: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 human/USA/USA-WA1 2020 United States USA 2020

Appendix MN997409 C

This is an appendix to:  On The Origin Of The Home Of COVID-19 - 11

---

Searching For:
"SARS coronavirus 2
isolate 2019-nCoV
USA-AZ1
2020
complete genome
USA: AZ
Homo sapiens
SARS-related coronavirus"(vHS)

In Animal genomes(vAN):

Virus Code vHS : vAN	GenBank Map Id vHS : vAN	Virus Len vHS:vAN vHS in vAN segs:pct Nucleotides vHS in vAN count : pct	vAN Information
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT324684	29882: 29889 2978: 99.7% 29873: 100.0%	SARS coronavirus 2 isolate SARS-CoV-2 ENV/USA/UF-3 2020 United States USA 2020 [metahost(s): human+vertebrates taxo: SARS coronavirus 2 lineage: Coronaviridae> Betacoronavirus> SARS-related coronavirus]
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT457400	29882: 29890 2972: 99.5% 29865: 99.9%	SARS coronavirus 2 isolate SARS-CoV-2 mink/NED/NB03/index 2020 Netherlands NLD 2020 [metahost(s): human+vertebrates taxo: SARS coronavirus 2 lineage: Coronaviridae> Betacoronavirus> SARS-related coronavirus]
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: NC_045512.2	29882: 29903 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate Wuhan-Hu-1
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: LC549340.1	29882: 29903 2975: 99.6% 29870: 100.0%	sars coronavirus 2 TKY3583 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT539729.1	29882: 29895 2975: 99.6% 29869: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 environment/USA/UF-12 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT457400.1	29882: 29890 2972: 99.5% 29865: 99.9%	sars coronavirus 2 isolate SARS-CoV-2 mink/NED/NB03/index 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: LC542976.1	29882: 29903 2983: 99.8% 29878: 100.0%	sars coronavirus 2 TKYE6968 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: LC542809.1	29882: 29903 2982: 99.8% 29876: 100.0%	sars coronavirus 2 TKYE6947 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT324684.1	29882: 29889 2978: 99.7% 29873: 100.0%	sars coronavirus 2 isolate SARS-CoV-2 ENV/USA/UF-3 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT184910.1	29882: 29882 2978: 99.7% 29873: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-23 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT184911.1	29882: 29882 2975: 99.6% 29870: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-24 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT184912.1	29882: 29882 2984: 99.9% 29879: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-25 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT184913.1	29882: 29882 2979: 99.7% 29874: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CruiseA-26 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: LC529905.1	29882: 29903 2980: 99.7% 29875: 100.0%	sars coronavirus 2 TKYE6182 2020 RNA
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT118835.1	29882: 29882 2982: 99.8% 29877: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA9 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT106052.1	29882: 29882 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA7 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT106053.1	29882: 29882 2982: 99.8% 29877: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA8 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT106054.1	29882: 29882 2982: 99.8% 29877: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-TX1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT044257.1	29882: 29882 2980: 99.7% 29875: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-IL2 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT039887.1	29882: 29879 2981: 99.8% 23064: 77.2%	sars coronavirus 2 isolate 2019-nCoV USA-WI1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT039888.1	29882: 29882 2978: 99.7% 29873: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-MA1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT039890.1	29882: 29903 2974: 99.5% 29869: 100.0%	sars coronavirus 2 isolate SNU01
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT027062.1	29882: 29882 2981: 99.8% 29875: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA3 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT027063.1	29882: 29882 2981: 99.8% 29875: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA4 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT027064.1	29882: 29882 2981: 99.8% 29876: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA5 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT019529.1	29882: 29899 2980: 99.7% 29875: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-01 2019
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT019530.1	29882: 29889 2980: 99.7% 29872: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-02 2019
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT019531.1	29882: 29899 2982: 99.8% 29877: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-03 2019
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT019532.1	29882: 29890 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-04 2019
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT019533.1	29882: 29883 2982: 99.8% 29877: 100.0%	sars coronavirus 2 isolate BetaCoV Wuhan/IPBCAMS-WH-05 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT020781.2	29882: 29806 2974: 99.5% 29800: 100.0%	sars coronavirus 2 isolate nCoV-FIN-29-Jan-2020 Finland FIN 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT020880.1	29882: 29882 2984: 99.9% 29879: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-WA1-A12 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT020881.1	29882: 29882 2984: 99.9% 29879: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-WA1-F6 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MT007544.1	29882: 29893 2978: 99.7% 29782: 99.7%	sars coronavirus 2 isolate Australia VIC01 2020 Australia AUS 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN996528.1	29882: 29891 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate WIV04
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN994467.1	29882: 29882 2980: 99.7% 29875: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN994468.1	29882: 29883 2981: 99.8% 29876: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-CA2 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN997409.1	29882: 29882 2987: 100.0% 29882: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-AZ1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN988713.1	29882: 29882 2977: 99.6% 29872: 100.0%	sars coronavirus 2 isolate 2019-nCoV USA-IL1 2020 United States USA 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN975262.1	29882: 29891 2984: 99.9% 29879: 100.0%	sars coronavirus 2 isolate 2019-nCoV HKU-SZ-005b 2020
SC-HS-CG-DN: SC-AN-CG-DN	MN997409: MN908947.3	29882: 29903 2983: 99.8% 29878: 100.0%	sars coronavirus 2 isolate Wuhan-Hu-1