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The global population of SARS-CoV-2 is composed of six major subtypes 1 2 Ivair José Morais Júnior ad , Richard Costa Polveiro b , Gabriel Medeiros Souza a , Daniel Inserra 3 Bortolin a , Flávio Tetsuo Sassaki c , Alison Talis Martins Lima a# 4 a Instituto de Ciências Agrárias/Universidade Federal de Uberlândia, Uberlândia, MG 38410-337, 5 Brazil 6 b Departamento de Veterinária/Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil 7 c Instituto de Biotecnologia/Universidade Federal de Uberlândia, Monte Carmelo, MG 38500-000, 8 Brazil 9 10 d Current address: Departamento de Fitopatologia/Universidade de Brasília, Brasília, DF 73345- 11 010, Brazil 12 13 #Corresponding author: Alison Talis Martins Lima 14 Phone: (+55-34) 2512-6716; E-mail: [email protected] 15 16 Abstract 17 18 The World Health Organization characterized the COVID-19 as a pandemic in March 2020, the second 19 pandemic of the 21 st century. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a 20 positive-stranded RNA betacoronavirus of the family Coronaviridae. Expanding virus populations, as 21 that of SARS-CoV-2, accumulate a number of narrowly shared polymorphisms imposing a 22 confounding effect on traditional clustering methods. In this context, approaches that reduce the 23 complexity of the sequence space occupied by the SARS-CoV-2 population are necessary for a robust 24 clustering. Here, we proposed the subdivision of the global SARS-CoV-2 population into sixteen well- 25 defined subtypes by focusing on the widely shared polymorphisms in nonstructural (nsp3, nsp4, nsp6, 26 nsp12, nsp13 and nsp14) cistrons, structural (spike and nucleocapsid) and accessory (ORF8) genes. 27 Six virus subtypes were predominant in the population, but all sixteen showed amino acid 28 replacements which might have phenotypic implications. We hypothesize that the virus subtypes 29 detected in this study are records of the early stages of the SARS-CoV-2 diversification that were 30 randomly sampled to compose the virus populations around the world, a typical founder effect. The 31 genetic structure determined for the SARS-CoV-2 population provides substantial guidelines for 32 maximizing the effectiveness of trials for testing the candidate vaccines or drugs. 33 . CC-BY-NC-ND 4.0 International license available under a was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made The copyright holder for this preprint (which this version posted April 15, 2020. ; https://doi.org/10.1101/2020.04.14.040782 doi: bioRxiv preprint

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Page 1: was not certified by peer review) is the author/funder. It is made ... · 14/04/2020  · 1 The global population of SARS-CoV-2 is composed of six major subtypes 2 3 Ivair José Morais

The global population of SARS-CoV-2 is composed of six major subtypes 1

2

Ivair José Morais Júniorad, Richard Costa Polveirob, Gabriel Medeiros Souzaa, Daniel Inserra 3

Bortolina, Flávio Tetsuo Sassakic, Alison Talis Martins Limaa# 4

aInstituto de Ciências Agrárias/Universidade Federal de Uberlândia, Uberlândia, MG 38410-337, 5

Brazil 6

bDepartamento de Veterinária/Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil 7

cInstituto de Biotecnologia/Universidade Federal de Uberlândia, Monte Carmelo, MG 38500-000, 8

Brazil 9

10

dCurrent address: Departamento de Fitopatologia/Universidade de Brasília, Brasília, DF 73345-11

010, Brazil 12

13

#Corresponding author: Alison Talis Martins Lima 14

Phone: (+55-34) 2512-6716; E-mail: [email protected] 15

16

Abstract 17

18

The World Health Organization characterized the COVID-19 as a pandemic in March 2020, the second 19

pandemic of the 21st century. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a 20

positive-stranded RNA betacoronavirus of the family Coronaviridae. Expanding virus populations, as 21

that of SARS-CoV-2, accumulate a number of narrowly shared polymorphisms imposing a 22

confounding effect on traditional clustering methods. In this context, approaches that reduce the 23

complexity of the sequence space occupied by the SARS-CoV-2 population are necessary for a robust 24

clustering. Here, we proposed the subdivision of the global SARS-CoV-2 population into sixteen well-25

defined subtypes by focusing on the widely shared polymorphisms in nonstructural (nsp3, nsp4, nsp6, 26

nsp12, nsp13 and nsp14) cistrons, structural (spike and nucleocapsid) and accessory (ORF8) genes. 27

Six virus subtypes were predominant in the population, but all sixteen showed amino acid 28

replacements which might have phenotypic implications. We hypothesize that the virus subtypes 29

detected in this study are records of the early stages of the SARS-CoV-2 diversification that were 30

randomly sampled to compose the virus populations around the world, a typical founder effect. The 31

genetic structure determined for the SARS-CoV-2 population provides substantial guidelines for 32

maximizing the effectiveness of trials for testing the candidate vaccines or drugs. 33

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2

Main 34

In December 2019, a local pneumonia outbreak of initially unknown etiology was detected in 35

Wuhan (Hubei, China) and quickly determined to be caused by a novel coronavirus1, named severe 36

acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2 and the disease as COVID-193. SARS-37

CoV-2 is classified in the family Coronaviridae, genus Betacoronavirus, which comprises enveloped, 38

positive stranded RNA viruses of vertebrates2. Two-thirds of SARS-CoVs genome is covered by the 39

ORF1ab, that encodes a large polypeptide which is cleaved into 16 nonstructural proteins (NSPs) 40

involved in replication-transcription in vesicles from endoplasmic reticulum (ER)-derived 41

membranes4,5. The last third of the virus genome encodes four essential structural proteins: spike (S), 42

envelope (E), membrane (M), nucleocapsid (N) and several accessory proteins that interfere with the 43

host innate immune response6. 44

Populations of RNA viruses evolve rapidly due to their large population sizes, short generation 45

times, and high mutation rates of viruses, this latter is a consequence of the RNA-dependent RNA 46

polymerase (RdRP) which lacks the proofreading activity7. In fact, virus populations are composed of 47

a broad spectrum of closely related genetic variants resembling one or more master sequences8–10. 48

Mutation rates inferred for SARS-CoVs are considered moderate11,12 due to the independent 49

proofreading activity13. However, the large SARS-CoV genomes (from 27 to 31 kb)14 provide to them 50

the ability to explore the sequence space15. In order to better understand the diversification of SARS-51

CoV-2 genomes during the pandemics (from December 2019 to March 25, 2020), we applied a simple, 52

but robust approach to reduce the complexity of the sequence space occupied by the virus population 53

by detecting its widely shared polymorphisms. 54

The 767 SARS-CoV-2 genomes with high sequencing coverage obtained from GISAID 55

(https://www.gisaid.org/) and GenBank were clustered into 593 haplotypes (Supplementary Table 1). 56

We conducted a fine-scale sequence variation analysis on the 593 genomes-containing alignment by 57

calculating the nucleotide diversity (π) using a sliding window and step size of 300 and 20 nucleotides, 58

respectively (multiple sequence alignments generated in this study are available from the authors upon 59

request). Such an approach allows to identify genomic regions of increased genetic variation 60

prevenient from polymorphic sites harboring two or more distinct nucleotide bases. Noticeably, one 61

or more large clusters of closely related sequences, when analyzed by this approach, show locally 62

increased nucleotide diversity. We observed a contrasting distribution of the genetic variation across 63

the full-length genomes of SARS-CoV-2 (Figure 1) with eight segments showing increased genetic 64

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variation, arbitrarily defined as nucleotide (nt) segments with π ≥ 0.001 (Table 1). Seven out of eight 65

segments had about 280 nucleotides in length, corresponding approximately to the size of a single 66

sliding window, except the S10 whose length was equivalent to two sliding windows (600 nt). To 67

further investigate the diversification of segments with contrasting content of genetic variability, we 68

constructed maximum likelihood (ML) phylogenetics trees and analyzed the diversification patterns 69

of eight segments with higher (S2, 4, 6, 8 10, 12, 14 and 16), and nine with lower (S1, 3, 5, 7, 9, 11, 70

13, 15 and 17) content of genetic variation, respectively (the ML analyses were used in this study 71

essentially as a clustering method due to the weak phylogenetic signal in the data set). 72

Although the data set was composed of hundreds of SARS-CoV-2 genomes sampled from 73

around the world, in the S2-based tree we observed two clusters (Figure 2). Markedly, each cluster 74

was composed of very closely related, if not identical, sequences. Therefore, the increased content of 75

genetic variation at the S2 was a result of the inter-cluster sequence comparisons. Similar results were 76

obtained for the other seven ML-trees based on segments with increased genetic variation 77

(Supplementary Figure 1). In contrast, the ML-trees based on segments with lower content of genetic 78

variation did not show a consistent number of well-defined clusters (Supplementary Figure 2). 79

We mapped the polymorphic sites in segments whose trees showed two well-defined clusters 80

(Table 1). Only a few (from one to three) nt positions with polymorphisms shared by a number of 81

SARS-CoV-2 genomes could be identified within each segment with increased genetic variation. 82

These polymorphisms were henceforth referred to as ‘widely shared polymorphisms’ (WSPs), while 83

the remaining nt sites in virus genomes were designed as ‘non widely shared polymorphisms’ 84

(nWSPs). 85

We compared the topologies of the seventeen ML-trees (eight based on WSPs-containing 86

segments and nine based on segments with nWSPs, Supplementary Figures 1 and 2, respectively). The 87

topology of trees based on WSPs-containing segments was considerably congruent indicating a 88

frequent, but not strict, co-segregation of nt at WSPs. For example, the SARS-CoV-2 reference isolate 89

(GISAID accession ID: EPI_ISL_402124, GenBank accession: MN908947) was placed in an 90

equivalent major cluster in all WSPs-containing segments-based ML-trees. In contrast, the isolate 91

EPI_ISL_416036 was placed in an equivalent minor cluster for S2, S8, S12 and S16-based ML-trees 92

and in the major cluster for S4, S6, S10 and S14-based ML-trees. On the contrary, the topology of 93

those ML-trees based on segments with nWSPs were highly incongruent suggesting that such regions 94

represent a wide mutant spectrum of narrowly shared polymorphisms. It is important to note that there 95

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are minor clusters in nWSPs-containing segments-based ML-trees, e.g., in those for S1, S13 and S17. 96

This is a consequence of our conservative threshold in which we focused on segments with π ≥ 0.001. 97

S1, S13 and S17 also show locally increased genetic variation with π higher than 0.0005 but lower 98

than 0.001. For example, stretches 889 - 1,169; 1,409 - 1,509 (within the S1); 25,403 - 25,693 (S13); 99

29,538 - 29,610 (S17). 100

Therefore, our approach reduced the complexity of the sequence space occupied by the SARS-101

CoV-2 genomes and provided a robust clustering solution based on the combination of 12 WSPs 102

(Table 1) to identify the major viral genotypes spread worldwide (Figure 3). The global population of 103

SARS-CoV-2 is structured into six major subtypes (I - VI), comprising 578 out of 593 (about 97.5%) 104

isolates analyzed in this study. The Subtype I (N=132) was represented by the combination of the most 105

frequent nucleotides at all WSPs, i.g., the canonical genotype: CCGCCACAUGGG. The SARS-CoV-106

2 reference isolate is a representative member of this subtype. Subtype IV (N=91) was represented by 107

the combination of the most frequent nucleotides at eleven out of 12 WSPs (CCUCCACAUGGG; 108

the most frequent nucleotides at each WSP are highlighted in bold and underlined). Subtypes V (N=74, 109

CUGCCACACGGG), II (N=122, UCGUCACGUGGG), III (N=101, CUGCUGUACGGG) and VI 110

(N=58, UCGUCACGUAAC) were represented by the combination of the most frequent nucleotides 111

at ten, nine, seven and six out of 12 WSPs, respectively. It is important to emphasize that the 112

contrasting sample sizes (Subtypes I - IV vs. VII - XVI) are not necessarily associated with fitness 113

variation and might be due to a sampling bias. For example, the three isolates composing the Subtype 114

VIII showed a genotype (CUGCCAUACGGG) very similar to that of the canonical reference isolate. 115

In addition, even though our data set was composed exclusively by genomes with high sequencing 116

coverage, we cannot rule out that the virus subtypes X to XVI, which were represented by a single 117

genome might be a consequence of poor sampling or sequencing errors. 118

The phylogenetic tree depicting all 593 SARS-CoV-2 haplotypes showed some geographical 119

structure with two clusters: a smaller one comprised of isolates mostly sampled from Western 120

hemisphere (Subtypes II, VI, IX, X and XI) and a larger one whose isolates were sampled from 121

Western and Eastern hemispheres (I, III, IV, V, VII, VIII, XII, XIII, XIV, XV and XVI). 122

We hypothesize that our clustering method for the SARS-CoV-2 population could involve at 123

some extent a biological context. Nine out of 12 WSPs led to amino acid replacements (Table 2), e.g., 124

the WSP nsp6-[111] in nine SARS-CoV-2 subtypes led to a leucine at the aa residue#37 of the protein 125

and a phenylalanine in seven other subtypes. NSP6 is an integral membrane protein that interferes in 126

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the autophagosome formation during the SARS-CoV infection. Additionally, in yeast two-hybrid 127

experiments, NSP6 has been shown to interact with NSP316. Some evidence demonstrates that NSP6 128

protein limits the expansion of autophagosomes or, alternatively, might remove host proteins involved 129

in inhibition of viral replication by activating autophagy from the ER17. 130

The WSP nsp12-[967] resulted in a proline in eleven subtypes of SARS-CoV-2 and a leucine 131

in others five subtypes at the aa residue #323 of the NSP12 (RNA-dependent RNA polymerase, RdRP) 132

protein. It is located at the Interface domain of RdRP of SARS-CoV-2, which is responsible for the 133

connection between the nidovirus RdRP-associated nucleotidyltransferase domain (NiRAN) and the 134

“Right hand” polymerase domain18. The S protein mediates viral entry into host cells by first binding 135

to a receptor, angiotensin-converting enzyme 2 (ACE2), through the receptor-binding domain (RBD) 136

in the S1 subunit and then fusing the viral and host membranes through the S2 subunit19–22. Sites of 137

glycosylation are important for S protein folding23, affecting priming by host proteases24 and might 138

modulate antibody recognition25,26. The WSP S-[1,841] resulted in a glycine and an aspartate at the aa 139

residue#614 of the S protein in six and ten subtypes of SAR-CoV-2, respectively. The replacement 140

was mapped in the intermediate region between the S1 and S2 subunits. This WSP is near a 141

glycosylation site (N616CT)27. 142

The WSP ORF8-[251] involved a non-synonymous mutation at the codon#84 encoding for 143

leucine and serine in nine and seven subtypes, respectively. The SARS-CoV ORF8 encodes for an 144

ER-associated protein that induces the activation of ATF6, and this latter is an ER stress-regulated 145

transcription factor that stimulates the production of chaperones28. In addition, the ORF8 protein has 146

been demonstrated to induce apoptosis29. In SARS epidemics, the ORF8 from different coronaviruses 147

was targeted by a number of mutations and recombination events during transmission from animals to 148

humans30. 149

Three WSPs mapped in the N gene led to two amino acid replacements at residues#203 and 150

#204. The multifunctional N protein is composed of three domains31, two of which are structurally 151

independent: the N-terminal domain (NTD) and the C-terminal domain (CTD). Both amino acid 152

replacements were mapped in an intermediary domain referred to as the linker region (LKR), a 153

positively charged serine-arginine-rich region. As an intrinsically disordered region (IDR) it allows 154

the independent folding of the NTD and CTD32 and is also functionally implicated in RNA binding 155

activity31. Key determinants of the interaction between the N and NSP3 proteins were also mapped at 156

the LKR33. The SARS-CoV N protein is also responsible for an antigenic response in humans 157

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predominantly involving the immunoglobulin G34 (the three-dimensional protein maps highlighting 158

the amino acid replacements are available as Supplementary Figure 3). Although the host biological 159

factors involved in the response to SARS-CoV-2 infection are still poorly known, the existence of 160

distinct virus subtypes, all of them exhibiting amino acid replacements, could alter important aspects 161

of COVID-19. 162

We hypothesized that in the early stages of the SARS-CoV-2 epidemics, due to the rapid virus 163

population expansion, a number of genetic variants might have arisen followed by a spread of non-164

representative sampling of variants to other countries and continents, i.g., a founder effect. We argue 165

that the virus subtypes and their associated WSPs detected in this study would be records of 166

diversification in these early stages of the epidemics after transmission from animal to humans. After 167

the virus introduction in a given geographic region, a number of unique or narrowly shared mutations 168

is accumulated, however, most of them reduce the fitness and are removed by purifying selection in a 169

medium to long term evolutionary scale, tending to a decreasing genetic variability8. 170

We propose a classification into at least sixteen distinct subtypes of SARS-CoV-2, six of them 171

accounting for more than 97% of the sampled isolates from around the world. Such classification 172

might guide the validation of candidate vaccines or drugs for the widest range of virus subtypes. In 173

this context, our clustering solution provides a robust approach to effectively reduce the complexity 174

of the mutant spectrum composed of closely related SARS-CoV-2 genomes focusing on WSPs. 175

Additionally, through the exhaustive sequencing, it would be possible to identify novel virus subtypes 176

and follow the evolutionary dynamics of the SARS-CoV-2 population during the adaptive process 177

imposed by the human host. 178

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Table 1. Characterization of the WSPs detected in genomes of SARS-CoV-2 179 180

Segment ID Segment position*

(begin - end) WSPs† nt mutation (# isolates)

Position in the codon

#codon Amino acid

S2 2,872 - 3,152 nsp3-[318] U (184) / C (409) Third 106 Phenylalanine/Phenylalanine

S4 8,612 - 8,892 nsp4-[228] U (183) / C (410) Third 76 Serine/Serine

S6 10,932 - 11,192 nsp6-[111] C (1) / U (99) / G (493) Third 37 Phenylalanine/Phenylalanine/Leucine

S8 14,232 - 14,512 nsp12-[967] U (184) / C (409) Second 323 Leucine/Proline

S10 17,573 -18,173

nsp13-[1,511] U (101) / C (492) Second 504 Leucine/Proline

nsp13-[1,622] G (101) / A (492) Second 541 Cysteine/Tyrosine

nsp14-[21] U (105) / C (488) Third 7 Leucine/Leucine

S12 23,243 - 23,523 S-[1,841] G (185) / A (408) Second 614 Glycine/Aspartate

S14 27,977 - 28,258 ORF8-[251] C (184) / U (409) Second 84 Serine/Leucine

S16 28,718 - 28,998

N-[608] A (60) / G (533) Second

203 Lysine/Arginine

N-[609] A (60) / G (533) Third

N-[610] C (60) / G (533) First 204 Glycine/Arginine

*Relative to the multiple sequence alignment constructed for full-length genomes 181 †Widely Shared Polymorphisms (WSPs) are conventionally indicated by cistron/gene-[nt position within the cistron or gene] 182

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Table 2. Amino acid composition of each virus subtype at WSP positions 183

184

SUBTYPE N*

WSP POSITION

nsp3 nsp4 nsp6 nsp12 nsp13 nsp14 S ORF8 N

#318 #228 #111 #967 #1511 #1622 #21 #1,841 #251 #608 #609 #610

I 132 C [Phe]† C [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] U [Leu] G [Arg] G [Arg] G [Arg]

II 122 U [Phe] C [Ser] G [Leu] U [Leu] C [Pro] A [Tyr] C [Leu] G [Gly] U [Leu] G [Arg] G [Arg] G [Arg]

III 101 C [Phe] U [Ser] G [Leu] C [Pro] U [Leu] G [Cys] U [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

IV 91 C [Phe] C [Ser] U [Phe] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] U [Leu] G [Arg] G [Arg] G [Arg]

V 74 C [Phe] U [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

VI 58 U [Phe] C [Ser] G [Leu] U [Leu] C [Pro] A [Tyr] C [Leu] G [Gly] U [Leu] A [Lys] A [Lys] C [Gly]

VII 3 C [Phe] U [Ser] U [Phe] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

VIII 3 C [Phe] U [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] U [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

IX 2 U [Phe] C [Ser] U [Phe] U [Leu] C [Pro] A [Tyr] C [Leu] G [Gly] U [Leu] A [Lys] A [Lys] C [Gly]

X 1 U [Phe] C [Ser] U [Phe] U [Leu] C [Pro] A [Tyr] C [Leu] G [Gly] U [Leu] G [Arg] G [Arg] G [Arg]

XI 1 U [Phe] C [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] C [Leu] G [Gly] U [Leu] G [Arg] G [Arg] G [Arg]

XII 1 C [Phe] U [Ser] C [Phe] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

XIII 1 C [Phe] C [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] C [Leu] A [Asp] C [Ser] G [Arg] G [Arg] G [Arg]

XIV 1 C [Phe] U [Ser] G [Leu] C [Pro] C [Pro] A [Tyr] C [Leu] G [Gly] C [Ser] G [Arg] G [Arg] G [Arg]

XV 1 C [Phe] C [Ser] U [Phe] U [Leu] C [Pro] A [Tyr] C [Leu] A [Asp] U [Leu] G [Arg] G [Arg] G [Arg]

XVI 1 C [Phe] C [Ser] U [Phe] C [Pro] C [Pro] A [Tyr] U [Leu] A [Asp] U [Leu] G [Arg] G [Arg] G [Arg] *Sample size 185 #Nucleotide position 186 †Nucleotide base and the encoded amino acid residue 187

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Figure legends 188

Figure 1. Mean pairwise number of nucleotide differences per site (nucleotide diversity, π) 189

calculated using a sliding window of 300 nucleotides across the multiple sequence alignment for 190

full-length genomes of SARS-CoV-2. The red dashed line at π = 0.001 represents an arbitrary 191

threshold to subdivide the segments (S) with increased (S2, 4, 6, 8, 10, 12, 14 and 16) and lower 192

(S1, 3, 5, 7, 9, 11, 13,15 and 17) content of genetic variation. The SARS-CoV-2 genome 193

organization is represented on top of the plot. 194

Figure 2. Maximum likelihood phylogenetic tree based on a nucleotide sequence between the 195

positions 2,872 - 3,152 (S2) of the aligned SARS-CoV-2 genomes. 196

Figure 3. Maximum likelihood phylogenetic tree based on 12 WSPs detected across the SARS-197

CoV-2 genomes. 198

199

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Methods 200

A total of 1,137 full-length genomes of SARS-CoV-2 sampled from December 2019 to 201

March 25, 2020 (at 2:30 pm) were obtained from Genbank35 and GISAID36 (Supplementary Table 202

S1). Only genomes with high sequencing coverage, intact ORFs (no frameshifts, except that of 203

nsp12 cistron) and without any indeterminate nucleotide base (indicated by ‘N’s or ambiguous 204

codes) totalizing 767 high quality full-length sequences were effectively analyzed in this study. 205

The genomic data set was aligned using MAFFT-FFT-NS-237. The calculation of the 206

average number of nucleotide differences per site (nucleotide diversity, π) was conducted in 207

DnaSP v.638 using a sliding window and step size of 300 and 20 nucleotides, respectively. Sites 208

with gaps alignment were not considered in analysis. The detection of polymorphic sites was 209

conducted using PAUP* v. 4.039 and MEGA X40. Those sites responsible for the segregation of 210

the isolates into two clusters in the ML-trees were referred to as “widely shared polymorphisms” 211

(WSPs), while the remaining nt sites in the virus genomes were designed as “non widely shared 212

polymorphisms” (nWSPs). The WSPs were conventionally indicated by cistron/gene name-[nt 213

position within the cistron or gene]. We opted by indicating the nt position within the cistron or 214

gene due to their highly conserved sizes (no gap was introduced during the construction of 215

sequence alignments), in contrast to the full-genomes whose 5’- and 3’-untranslated regions 216

(UTRs) were highly variable in terms of length. 217

Maximum likelihood (ML) phylogenetic trees were constructed using RAxML41 under the 218

nucleotide substitution model General Time-Reversible with gamma distribution (GTRGAMMA). 219

The branch support for ML-trees based on WSPs-containing and nWSPs segments was assessed 220

with 1,000 and 5,000 bootstrap replications, respectively. All phylogenetic trees were edited using 221

iTOL42. 222

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14

Acknowledgments 319

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível 320

Superior - Brasil (CAPES) - Finance Code 001. IJM and RCP were recipients of CNPq and CAPES 321

doctoral fellowships, respectively. DIB was the recipient of a FAPEMIG master fellowship. 322

323

Author Contributions 324

ATML designed the bioinformatics analyses. IJM, ATML, RCP, GMS, DIB and FTS conducted 325

the analyses. ATML, IJM, RCP and FTS analyzed data and results. IJM, RCP, FTS and ATML 326

wrote the manuscript. All authors contributed to the content and writing of the Supplementary 327

Information. 328

329

Competing interest declaration 330

The authors declare that they have no competing interests. 331

332

Additional information 333

Supplementary information is available for this manuscript. 334

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The copyright holder for this preprint (whichthis version posted April 15, 2020. ; https://doi.org/10.1101/2020.04.14.040782doi: bioRxiv preprint

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L 41

4555

hCoV 19 Shenzhen H

KU SZ 002 2020 EPI ISL 406030

hCoV 19 Hungary mbl1 2020 EPI ISL 416426

hCoV

19

Sw

itzer

land

BE

6651

202

0 E

PI I

SL

4154

56

hCoV

19

Spa

in V

alen

cia5

202

0 E

PI I

SL

4164

84

hCoV

19

USA

WA

UW

88 2

020

EPI

ISL

4164

44

hCoV

19

Chi

na W

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9 20

20 E

PI I

SL

4119

57

hCoV

19 Netherlands B

laricum 1364780 2020 E

PI IS

L 413566

hCoV 19 Shanghai SH0010 2020 EPI ISL 416323

hCoV 19 Brazil SPBR 02 2020 EPI ISL 413016

hCoV 19 Wuhan WH01 2019 EPI ISL 406798

hCoV 19 Belgium BA 02291 2020 EPI ISL 415159

hCoV 19 Denmark SSI 03 2020 EPI ISL 416144

hCoV

19 France H

F1993 2020 E

PI IS

L 414637

hCoV

19 Australia Q

LDID

919 2020 EP

I ISL 417031

hCoV 19 USA WA UW185 2020 EPI ISL 416723

hCoV 19 Wuhan IVDC HB 04 2020 EPI ISL 402120

hCoV

19 Shanghai S

H0027 2020 E

PI IS

L 416336

hCoV 19 Shenzhen SZTH 004 2020 EPI ISL 406595

hCoV 19 Nepal 61 2020 EPI ISL 410301

hCoV

19

US

A W

A U

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8 20

20 E

PI I

SL

4167

16

hCoV

19

Wal

es P

HW

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20 E

PI I

SL

4135

55

hCoV 19 USA CruiseA 11 2020 EPI ISL 413616

hCoV 19 Georgia Tb 537 2020 EPI ISL 416480

hCoV 19 Italy UniSR1 2020 EPI ISL 413489

hCoV 19 Shanghai SH0029 2020 EPI ISL 416338

hCoV

19 Sw

itzerland AG

7120 2020 EP

I ISL 415457

hCoV

19 Italy CD

G1 2020 E

PI IS

L 412973

MT049951.1 Yunnan 01 human 2020 CHN

hCoV 19 U

SAW

A UW

50 2020 EPI ISL 415615

hCoV 19 Chile Talca 1 2020 EPI ISL 414577

hCoV

19 Australia Q

LD09 2020 E

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L 414414

hCoV 19 USA WA UW126 2020 EPI ISL 416664

hCoV

19 G

eorgia Tb 673 20

20 EP

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hCoV 19 Shanghai SH0055 2020 EPI ISL 416363

hCoV 19 Japan DP0764 2020 EPI ISL 416624

hCoV 19 USA WA S43 2020 EPI ISL 417096

hCoV

19

Non

thab

uri 6

1 20

20 E

PI IS

L 40

3962

hCoV 19 Shanghai SH0094 2020 EPI ISL 416390

hCoV 19 Hangzhou ZJU 09 2020 EPI ISL 416474

hCoV

19

Denm

ark

SSI 04

2020

EPI I

SL 41

6153

hCoV

19

Nethe

rland

s NA 11

202

0 EPI I

SL 41

5467

hCoV

19

USA WA U

W13

9 20

20 E

PI ISL 4

1667

7

hCoV 19 Japan DP0059 2020 EPI ISL 416569

hCoV 19 Guangdong 20SF174 2020 EPI ISL 406531

hCoV 19 China WF0014 2020 EPI ISL 413711

hCoV

19

US

A W

A U

W13

1 20

20 E

PI I

SL

4166

69

hCoV 19 USA CruiseA 2 2020 EPI ISL 413607

hCoV 19 Beijing IVDC BJ 005 2020 EPI ISL 408485

hCoV 19 USA WA UW79 2020 EPI ISL 416435

hCoV 19 G

uangzhou 20SF206 2020 EPI ISL 406533

hCoV 19 USA W

A UW

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L 416713

hCoV

19 US

A W

A U

W23 2020 E

PI IS

L 414592

hCoV

19

USA WA U

W16

8 20

20 E

PI ISL

4167

06

hCoV 19 Guangdong 20SF028 2020 EPI ISL 403936

hCoV 19 Brazil SPBR 11 2020 EPI ISL 416033

hCoV

19 Guangdong 2020X

N4475 P

0042 2020 EP

I ISL 413854

hCoV

19

US

A W

A U

W15

9 20

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PI I

SL

4166

97

hCoV

19

USA W

A UW

20 2

020

EPI ISL

4143

68

hCoV

19 Sw

itzerland GE

1422 2020 EP

I ISL 415454

hCoV 19 USA WA UW59 2020 EPI ISL 415624

hCoV 19 USA CA PC101P 2020 EPI ISL 414648

hCoV 19 USA W

A UW

165 2020 EPI IS

L 416703

hCoV 19 Shanghai SH0059 2020 EPI IS

L 416366

hCoV 19 Japan DP0588 2020 EPI ISL 416610

hCoV 19 Shandong IVDC SD 001 2020 EPI ISL 408482

MT123292.2 IQTC04 human 2020 CHN

hCoV 19 USA WA UW162 2020 EPI ISL 416700

hCoV

19 France ID

F2256 2020 E

PI IS

L 416498

hCoV

19

USA WA U

W16

0 20

20 E

PI ISL 4

1669

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hCoV 19 Netherlands Rotterdam 1364740 2020 EPI ISL 413584

hCoV 19 USA WA UW183 2020 EPI ISL 416721

hCoV 19 N

etherlands NA 28 2020 EPI ISL 415485

hCoV

19 U

SA

WA

UW

190 2020 E

PI IS

L 416728

hCoV

19

Bel

gium

VA

G 0

3013

202

0 E

PI I

SL

4151

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hCoV

19 US

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A U

W118 2020 E

PI IS

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hCoV

19

Aus

tral

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SW

06 2

020

EP

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L 41

3213

hCoV

19

Shang

hai S

H00

73 2

020

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4163

76

hCoV 19 Zhejiang WZ 01 2020 EPI ISL 404227

hCoV 19 N

etherlands NA 17 2020 EPI ISL 415473

hCoV 19 Jingzhou HBCDC HB 01 2020 EPI ISL 412459

hCoV 19 USA WA UW57 2020 EPI ISL 415622

hCoV 19 England 02 2020 EPI ISL 407073

hCoV

19

Japa

n D

P00

78 2

020

EP

I IS

L 41

6572

hCoV

19 Shanghai S

H0114 2020 E

PI IS

L 416401

hCoV

19

US

A W

A U

W97

202

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PI I

SL

4166

35

hCoV

19

Engl

and

2010

4008

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20 E

PI IS

L 41

4525

hCoV

19 France B2337 2020 E

PI IS

L 416506

hCoV 19 Netherla

nds Noord

Holland 2 2020 E

PI ISL 4

14549

hCoV 19 USA CA CDPH UC9 2020 EPI ISL 413928

hCoV 19 Australia VIC07 2020 EPI ISL 416415

hCoV 19 Japan H

u DP K

ng 19 027 2020 EPI IS

L 412969

hCoV 19 France IDF0515 isl 2020 EPI ISL 410984

hCoV 19 USA WA S40 2020 EPI ISL 417093

hCoV 19 Wuhan HBCDC HB 03 2020 EPI IS

L 412979

hCoV

19 Shanghai S

H0021 2020 E

PI IS

L 416330

hCoV 19 USA TX1 2020 EPI ISL 411956

hCoV 19 Lithuania ChVir1632 2020 EPI ISL 416741

hCoV

19

Fra

nce

HF

1871

202

0 E

PI I

SL

4146

30

hCoV

19 Netherlands N

A 6 2020 E

PI IS

L 415495hCoV

19

Wuh

an IP

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AM

S W

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5 20

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PI I

SL

4039

28

hCoV

19

Net

herla

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NA

30

2020

EP

I IS

L41

5487

hCoV 19 Shanghai S

H0009 2020 EPI IS

L 416322

hCoV

19 Japan DP

0880 2020 EP

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hCoV

19 US

A W

A U

W22 2020 E

PI IS

L 414591

hCoV

19 US

A WA U

W141 2020 E

PI IS

L 416679

hCoV

19 Beijing 233 2020 E

PI IS

L 413520

hCoV

19 Ireland CO

R 20134 2020 E

PI IS

L 414487

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19

Net

herla

nds

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2020

EP

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NA

24 2

020

EP

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L 41

5481

hCoV 19 Japan D

P0687 2020 EPI IS

L 416614

hCoV

19

Sco

tland

CV

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202

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PI I

SL

4156

31

hCoV

19

Net

herla

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Gel

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202

0 E

PI I

SL

4154

62

MT126808.1 SP02 human 2020 BRA

hCoV

19 Sw

itzerland SZ

1417 2020 EP

I ISL 415702

hCoV

19

Bel

gium

QK

J 03

015

2020

EP

I IS

L 41

5158

hCoV 19 Shenzhen SZTH 002 2020 EPI ISL 406593hC

oV 19 S

witzerland 1000477797 2020 E

PI IS

L 413023

hCoV 19 Foshan 20SF210 2020 EPI ISL 406535

hCoV 19 USA CA2 2020 EPI ISL 406036

hCoV

19 Foshan 20S

F211 2020 E

PI IS

L 406536

hCoV 19 USA MN2 MDH2 2020 EPI ISL 414589hCoV 19 Australia QLD03 2020 EPI ISL 410717

hCoV 19 South Korea KCDC03 2020 EPI ISL 407193

hCoV 19 England SHEF BFCEE 2020 EPI ISL 416733

hCoV 19 Netherla

nds ZuidHolla

nd 16 2020 EPI IS

L 414558

hCoV 19 Shanghai SH0060 2020 EPI ISL 416367

hCoV 19 Wales PHW35 2020 EPI ISL 416024

hCoV

19

Austra

lia Q

LD02

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0 EPI I

SL 40

7896

hCoV

19 Shenzhen H

KU

SZ 005 2020 E

PI IS

L 405839

hCoV 19 France B2340 2020 EPI ISL 416507

hCoV 19 Japan DP0158 2020 EPI ISL 416579

hCoV 19 Guangzhou GZMU0014 2020 EPI ISL 414692

hCoV 19 USA W

A UW91 2020 EPI IS

L 416447

hCoV

19

Den

mar

k S

SI 1

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020

EP

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L 41

5646

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039

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US

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hCoV

19

USA

WA

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1560

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hCoV 19 USA WA S29 2020 EPI ISL 417082

hCoV

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USA

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US

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PI I

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4156

25

hCoV 19 USA WA UW92 2020 EPI ISL 416448

hCoV 19 Japan DP0743 2020 EPI ISL 416621

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19

Fra

nce

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643

2020

EP

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L 41

4625

hCoV

19 Netherlands ZuidH

olland 31 2020 EP

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hCoV 19 Hangzhou ZJU 06 2020 EPI ISL 416047

hCoV

19

Fra

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PI I

SL

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30

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SL

4163

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hCoV

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PB

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PI IS

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hCoV

19 China IQ

TC02 2020 E

PI IS

L 412967

hCoV 19 Japan DP0311 2020 EPI ISL 416593

hCoV 19 USA WA UW15 2020 EPI ISL 414363

hCoV 19 France B2336 2020 EPI ISL 416505

hCoV

19 S

hanghai S

H00

02 2020 EP

I ISL 416316

hCoV

19 England S

HE

F B

FC

B1 2020 E

PI IS

L 416730

hCoV 19 USA WA4 UW

2 2020 EPI ISL 413455

hCoV

19 Sw

itzerland GE

1402 2020 EP

I ISL 415700

hCoV

19 Netherlands ZuidH

olland 28 2020 EP

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hCoV 19 Denmark SSI 01 2020 EPI ISL 416142

hCoV

19

Sha

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0026

202

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PI I

SL

4163

35

hCoV

19 France IDF2278 2020 E

PI IS

L 416499

hCoV 19 Malaysia MKAK CL 2020 5045 2020 EPI ISL 416829

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Net

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413

572

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19 Japan DP

0464 2020E

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hCoV 19 Netherlands Utrecht 1363628 2020 EPI ISL 413589

MT044258.1 USA CA6 2020

hCoV

19 Japan DP

0152 2020 EP

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hCoV 19 U

SA WA U

W138 2020 EPI ISL 416676

hCoV

19U

SA

WA

UW

43 2020 EP

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hCoV

19 Belgium

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03011 2020 EP

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hCoV 19 USA WA UW74 2020 EPI ISL 415602

hCoV

19 Japan DP

0027 2020 EP

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hCoV 19 Canada BC 40860 2020 EPI ISL 415583

hCoV

19 US

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PI IS

L 416717

hCoV 19 Hangzhou ZJU 01 2020 EPI ISL 415709

hCoV

19

Fuj

ian

13 2

020

EP

I IS

L 41

1066

hCoV 19 Belgium ULG 6942 2020 EPI ISL 417021

hCoV

19

Luxe

mbo

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PI I

SL

4135

93

hCoV 19 Japan DP0200 2020 EPI ISL 416584

hCoV

19

US

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SL

4135

63

hCoV

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Net

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hCoV

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USA Cru

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4136

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hCoV

19

Chi

na W

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28 2

020

EP

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L 41

3791

hCoV

19

US

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SL

4166

48

hCoV

19

US

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2020

EP

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L 41

6433

hCoV

19

Sha

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202

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PI I

SL

4164

02

hCoV

19

US

A W

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SL

4167

27

hCoV 19 Australia QLD04 2020 EPI ISL 410718

hCoV

19 US

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L 416457

hCoV

19

US

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Y N

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20 E

PI I

SL

4168

31

hCoV 19 Japan KY V 029 2020 EPI ISL 408669

hCoV 19 Japan DP0196 2020 EPI ISL 416583

hCoV 19 USA WA3 UW1 2020 EPI ISL 413025

hCoV 19 USA CruiseA 6 2020 EPI ISL 413611

hCoV 19 Shanghai SH0080 2020 EPI ISL 416382

MT226610.1 KMS1 human 2020 C

HN

hCoV 19 Wuhan WH04 2020 EPI ISL 406801

hCoV

19

Sco

tland

CV

R07

202

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PI I

SL

4156

30

hCoV 19 USA WA UW171 2020 EPI ISL 416709

hCoV

19

Bel

gium

MT

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3026

202

0 E

PI I

SL

4164

76

hCoV 19 USA WA UW67 2020 EPI ISL 415595

hCoV 19 Netherlands ZuidHolland 8 2020 EPI ISL 414468

hCoV

19

US

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70 2

020

EP

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L 41

7123

hCoV

19 Australia Q

LD01 2020 E

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hCoV 19 France IDF0626 2020 EPI ISL 408431

hCoV

19

Japa

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MU

031

1S3

2020

EP

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L 41

6525

hCoV 19 USA WA UW

117 2020 EPI ISL 416655

hCoV 19 Japan DP0357 2020 EPI ISL 416598

hCoV 19 Japan DP0278 2020 EPI ISL 416587

hCoV

19 Wuhan W

IV02 2019 E

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L 402127

hCoV

19

Wuh

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DC

HB

env

F13

21 2

020

EP

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L 40

8515

hCoV 19 Belgium ULG 6638 2020 EPI ISL 417017

hCoV 19 USA WA UW137 2020 EPI ISL 416675

hCoV

19

Nethe

rland

s NA

31 2

020

EPI ISL

4154

88

hCoV 19 Wales PHW32 2020 EPI ISL 415920

hCoV 19 Shanghai SH0044 2020 EPI IS

L 416353

hCoV 19 Georgia Tb 477 2020 EPI ISL 415642

hCoV 19 Japan DP0077 2020 EPI ISL 416571

hCoV 19 USA WA UW83 2020 EPI ISL 416439

hCoV 19 Netherla

nds Gelderla

nd 1 2020 EPI IS

L 415461

hCoV 19 USA WA UW106 2020 EPI ISL 416644

hCoV 19 USA WA UW155 2020 EPI ISL 416693

hCoV 19 Belgium GHB 03021 2020 EPI ISL 407976MT123293.2 IQTC03 human 2020 CHN

hCoV

19

US

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SL

4167

07

hCoV

19

Fin

land

FIN

455

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SL

4146

42

hCoV

19

US

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202

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SL

4136

13

hCoV

19

Belgi

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MH 0

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6468

hCoV 19 Shanghai SH0030 2020 EPI ISL 416339

hCoV 19 USA WA UW73 2020 EPI ISL 415601

hCoV

19

Ger

man

y B

avP

at1

2020

EP

I IS

L 40

6862

hCoV

19 France B

2344 2020 EP

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hCoV 19 Netherlands Utrecht 15 2020 EPI ISL 414554

hCoV

19 France H

F1995 2020 E

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L 414638

hCoV

19

US

A U

T 00

020

2020

EP

I IS

L 41

7028

hCoV 19 USA CruiseA 1 2020 EPI ISL 413606

hCoV

19 Netherlands U

trecht 1 2020 EP

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hCoV 19 Japan TY W

K 012 2020 EPI ISL 408665

hCoV 19 USA WA UW145 2020 EPI ISL 416683

hCoV

19 Netherlands ZuidH

olland 27 2020 EPI ISL 415531

MT

012098.1 29 human 2020 IN

D

hCoV

19

Aus

tralia

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EP

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hCoV

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gzho

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SL

4164

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hCoV 19 Chile Santiago 2 2020 EPI ISL 414580

hCoV 19 Japan DP0274 2020 EPI ISL 416586

hCoV

19

Japa

n S

MU

031

1S2

2020

EP

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L 41

6524

hCoV 19 Wuhan IVDC HB envF13 20 2020 EPI ISL 408514

hCoV

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hCoV 19 Georgia Tb 468 2020 EPI ISL 415643

hCoV

19

Fra

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020

EP

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L 41

4601

hCoV 19 Cambodia 0012 2020 EPI ISL 411902

hCoV 19 USA IL

2 2020 EPI IS

L 410045

hCoV 19 Finland FIN

508 2020 EPI ISL 414643

hCoV

19 Netherlands N

A 25 2020 E

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L 415482

hCoV 19 U

SA WA S68 2020 EPI ISL 417121

hCoV 19 France HF2239 2020 EPI ISL 416497

hCoV

19 Taiwan 2 2020 E

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L 406031

hCoV

19 Sichuan IV

DC

SC

001 2020 EP

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hCoV

19

Bel

gium

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SL

4170

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19 Sw

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8102 2020 EP

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hCoV 19 Japan DP0236 2020 EPI ISL 416585

hCoV 19 N

etherlands Nootdorp 1364222 2020 EPI ISL 413579

hCoV

19

US

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hCoV

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Sw

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hCoV

19 China W

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hCoV 19 Vietnam VR03 38142 2020 EPI ISL 408668

hCoV

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hCoV 19 New Zealand 20VR0189 2020 EPI ISL 416519

hCoV 19 H

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hCoV

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US

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hCoV

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hCoV

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SL

4140

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hCoV 19 Shanghai SH0053 2020 EPI ISL 416361

hCoV 19 Wuhan HBCDC HB 04 2020 EPI ISL 412980

hCoV 19 Saudi Arabia SCDC 3321 2020 EPI ISL 416521

hCoV

19 Belgium

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L 416467

hCoV 19 USA AZ1 2020 EPI ISL 406223

hCoV 19 USA WA UW103 2020 EPI ISL 416641

hCoV 19 Japan D

P0361 2020 EPI ISL 416599

hCoV 19 Japan DP0457 2020 EPI ISL 416601

hCoV 19 Brazil SPBR 10 2020 EPI ISL 416032

hCoV

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SL

4146

29

hCoV

19 Foshan 20SF207 2020 E

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L 406534

hCoV 19 Japan D

P0568 2020 EPI ISL 416609

hCoV

19 Sw

itzerland VD

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hCoV 19 Sweden 01 2020 EPI ISL 411951

hCoV

19

USA

WA

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2020

EPI

ISL

4171

42

hCoV

19 Chongqing Y

C01 2020 E

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L 408478

hCoV 19 USA WA S2 2020 EPI IS

L 413456

hCoV 19 Australia

NSW

03 2020 EPI IS

L 408977

hCoV 19 Jiangsu JS02 2020 EPI ISL 411952

hCoV 19 Japan DP0827 2020 EPI ISL 416632

hCoV 19 Shanghai SH0128 2020 EPI ISL 416409

hCoV

19

Eng

land

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SL

4167

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hCoV 19 USA WA UW56 2020 EPI ISL 415621

hCoV

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SA

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hCoV

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Sou

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202

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SL

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hCoV 19 USA WA UW

78 2020 EPI ISL 416434

hCoV 19 Germany BavPat2 2020 EPI ISL 414520

hCoV 19 Scotland ED

B003 2020 EPI ISL 415640

hCoV

19 Finland F

IN03032020A

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hCoV 19 Guangdong 2020XN4459 P0041 2020 EPI IS

L 413858

hCoV

19

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hCoV

19

US

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202

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SL

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hCoV 19 Japan DP0346 2020 EPI ISL 416597

hCoV 19 France GE1583 2020 EPI ISL 414623

hCoV

19 US

A W

A U

W69 2020 E

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L 415597

hCoV

19 Belgium

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hCoV

19

Finl

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266

202

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SL

4146

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03932

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hCoV 19 Portugal CV62 2020 EPI ISL 413647

hCoV

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hCoV 19 USA WA UW150 2020 EPI ISL 416688

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hCoV 19 Wuhan IVDC HB 05 2019 EPI ISL 402121

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hCoV 19 South Korea KUMC03 2020 EPI ISL 413513

hCoV

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hCoV 19 Netherlands NA 29 2020 EPI ISL 415486

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hCoV 19 France N

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hCoV 19 China WF0029 2020 EPI ISL 413809

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US

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SL

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hCoV 19 Japan DP0287 2020 EPI ISL 416589

hCoV 19 USA WA UW

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hCoV 19 Shanghai SH0121 2020 EPI IS

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hCoV 19 Guangzhou GZMU0016 2020 EPI ISL 414663

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hCoV 19 Wuhan W

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hCoV 19 USA CruiseA 4 2020 EPI ISL 413609

hCoV 19 Australia

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hCoV 19 USA WA UW148 2020 EPI ISL 416686

hCoV 19 USA MN3 MDH3 2020 EPI ISL 414590

hCoV 19 France IDF0373 2020 EPI ISL 406597

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19 Belgium

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Fra

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19 England 200990723 2020 E

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hCoV

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hCoV

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hCoV 19 Shanghai SH0008 2020 EPI ISL 416321

hCoV 19 Netherlands NoordHolland 3 2020 EPI ISL 415525

hCoV 19 Malaysia MKAK CL 2020 5047 2020 EPI ISL 416866

hCoV 19 Netherla

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hCoV 19 USA WA UW128 2020 EPI ISL 416666

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hCoV 19 Shanghai SH0070 2020 EPI ISL 416373

Tree scale: 0.001

Clusters

Major

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U [N=184]

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.CC-BY-NC-ND 4.0 International licenseavailable under awas not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made

The copyright holder for this preprint (whichthis version posted April 15, 2020. ; https://doi.org/10.1101/2020.04.14.040782doi: bioRxiv preprint

Page 17: was not certified by peer review) is the author/funder. It is made ... · 14/04/2020  · 1 The global population of SARS-CoV-2 is composed of six major subtypes 2 3 Ivair José Morais

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hCoV

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hCoV 19 Luxembourg Lux1 2020 EPI ISL 413593

hCoV 19 Lithuania ChVir1632 2020 EPI ISL 416741

hCoV

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hCoV 19 Shanghai S

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hCoV 19 Hong Kong VB20026565 2020 EPI ISL 412030

hCoV 19 Netherlands NA 21 2020 EPI ISL 415478

hCoV 19 USA CA CDPH UC9 2020 EPI ISL 413928

hCoV

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hCoV 19 USA WA UW77 2020 EPI ISL 416433

hCoV 19 Netherlands Limburg 7 2020 EPI ISL 415464

hCoV 19 France HF1995 2020 EPI ISL 414638

hCoV 19 USA WA UW145 2020 EPI ISL 416683

hCoV 19 USA WA S43 2020 EPI ISL 417096

hCoV 19 China WF0002 2020 EPI ISL 413692

hCoV

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hCoV 19 USA CA3 2020 EPI ISL 408008

hCoV

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hCoV 19 England SHEF BFD54 2020 EPI ISL 416740

hCoV

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hCoV 19 Wuhan IPBCAMS WH 02 2019 EPI ISL 403931

hCoV 19 Australia VIC03 2020 EPI ISL 416411

hCoV 19 Japan DP0190 2020 EPI ISL 416581

hCoV 19 USA WA UW148 2020 EPI IS

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hCoV 19 China IQTC02 2020 EPI ISL 412967

hCoV 19 Saudi Arabia KAIM

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hCoV

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Net

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hCoV 19 Brazil SPBR 02 2020 EPI ISL 413016

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hCoV 19 USA WA UW175 2020 EPI IS

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hCoV

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hCoV

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hCoV

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hCoV 19 Georgia Tb 468 2020 EPI ISL 415643

hCoV 19 England SHEF BFCC0 2020 EPI ISL 416731

hCoV

19 England 201040081 2020 E

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hCoV

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hCoV 19 USA WA UW183 2020 EPI ISL 416721

hCoV

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hCoV 19 N

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hCoV 19 USA WA UW41 2020 EPI ISL 415606

hCoV 19 Singapore 9 2020 EPI ISL 410715

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hCoV 19 USA WA UW

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hCoV 19 France G

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hCoV 19 D

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hCoV 19 Singapore 5 2020 EPI ISL 410536

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hCoV 19 Netherlands NA 6 2020 EPI ISL 415495

hCoV 19 USA W

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hCoV 19 France HF1871 2020 EPI ISL 414630

hCoV 19 France B2340 2020 EPI ISL 416507

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Den

mar

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EP

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New

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hCoV 19 USA WA UW

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hCoV 19 USA C

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hCoV

19 Sw

itzerland GE

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hCoV

19 Belgium

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hCoV 19 Hangzh

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L 416044

hCoV

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hCoV 19 Belgium SH 03014 2020 EPI ISL 415156

hCoV

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hCoV 19 Zhejiang WZ 01 2020 EPI IS

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hCoV

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L 416831

hCoV 19 Finland FIN 266 2020 EPI ISL 414646

hCoV

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hCoV

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itzerland BE

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hCoV

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MT188341.1 USA MN1 M

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hCoV

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hCoV

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hCoV 19 USA WA UW74 2020 EPI ISL 415602

hCoV

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Wuh

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hCoV

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hCoV 19 USA W

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L 414368

hCoV 19 France N

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hCoV

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L 414558

hCoV 19 USA WA UW86 2020 EPI ISL 416442

hCoV

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Bra

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hCoV

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USA AZ1

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hCoV

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hCoV

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hCoV

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hCoV 19 U

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hCoV

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hCoV 19 Guangdong GD2020087 P0008 2020 EPI ISL 413863

hCoV 19 USA WA UW31 2020 EPI ISL 414618

hCoV 19 France ID

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hCoV 19 Japan SMU 0311S2 2020 EPI ISL 416524

hCoV 19 USA WA UW88 2020 EPI ISL 416444

hCoV

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Sw

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hCoV 19 USA WA UW52 2020 EPI IS

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hCoV

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hCoV 19 USA WA UW67 2020 EPI ISL 415595

hCoV

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PI IS

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hCoV

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hCoV

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Sha

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PI I

SL

4163

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hCoV 19 Shanghai SH0073 2020 EPI ISL 416376

hCoV 19 USA WA UW111 2020 EPI ISL 416649

MT044258.1 2019 nCoV USA CA6 2020

hCoV

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3 2020 EP

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hCoV 19 Jiangxi IVDC JX 002 2020 EPI ISL 408486

hCoV 19 Guangdong 20SF014 2020 EPI ISL 403934

hCoV 19 USA CruiseA 4 2020 EPI ISL 413609

hCoV 19 Shanghai SH0094 2020 EPI ISL 416390

hCoV

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New

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hCoV 19 USA WA S2 2020 EPI ISL 413456

hCoV

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Switzer

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hCoV 19 Poland PL P1 2020 EPI ISL 416488

hCoV 19 USA WA UW190 2020 EPI ISL 416728

hCoV

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hCoV

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hCoV

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Bel

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hCoV 19 USA WA S68 2020 EPI ISL 417121

hCoV

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hCoV 19 USA WA UW75 2020 EPI ISL 415603

hCoV

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EPI ISL 4

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Sw

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hCoV 19 USA WA UW149 2020 EPI ISL 416687

hCoV

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US

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2020

EP

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6034

hCoV 19 USA WA UW131 2020 EPI ISL 416669

hCoV 19 Georgia Tb 712 2020 EPI ISL 416481

hCoV 19 Japan DP0645 2020 EPI ISL 416612

hCoV 19 Japan DP0200 2020 EPI ISL 416584

hCoV

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PI I

SL

4164

29

hCoV 19 USA WA7 UW4 2020 EPI ISL 413458

hCoV 19 Hangzhou HZ 1 2020 EPI ISL 406970

hCoV 19 Jiangsu JS01 2020 EPI ISL 411950

hCoV 19 Shanghai SH0007 2020 EPI IS

L 416320

hCoV 19 Shanghai SH0080 2020 EPI ISL 416382

hCoV 19 USA MN3 MDH3 2020 EPI ISL 414590

hCoV

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Chi

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EP

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4577

hCoV 19 USA WA S89 2020 EPI ISL 417142

hCoV

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Per

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hCoV

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hCoV

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hCoV 19 France IDF0372 2020 EPI ISL 406596

hCoV

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SL

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hCoV 19 Shanghai SH0114 2020 EPI ISL 416401

hCoV

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L 415487

hCoV

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Belgi

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hCoV 19 USA WA UW92 2020 EPI ISL 416448

hCoV 19 Hangzhou ZJU 09 2020 EPI ISL 416474

hCoV 19 Shenzhen SZTH 003 2020 EPI ISL 406594

hCoV 19 Wales PHW35 2020 EPI ISL 416024

hCoV 19 Guangzhou 20SF206 2020 EPI ISL 406533

hCoV 19 USA WA UW68 2020 EPI ISL 415596

hCoV 19 USA WA UW26 2020 EPI ISL 414595

hCoV 19 China W

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hCoV 19 Fosh

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06536

hCoV 19 USA W

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hCoV

19 France V

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hCoV 19 USA WA UW91 2020 EPI ISL 416447

hCoV 19 USA CruiseA 11 2020 EPI ISL 413616

hCoV 19 France PL1643 2020 EPI ISL 414625

hCoV

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Wuh

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2020

EP

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Sw

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US

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hCoV 19 USA WA UW173 2020 EPI ISL 416711

hCoV

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SA

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hCoV

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hCoV 19 USA W

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hCoV 19 Wuhan IVDC HB 05 2019 EPI ISL 402121

hCoV

19

Sw

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hCoV 19 USA CruiseA 6 2020 EPI ISL 413611

hCoV 19 Netherlands Haarlem 1363688 2020 EPI ISL 413572

hCoV 19 USA CruiseA 1 2020 EPI ISL 413606

hCoV

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Por

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hCoV 19 USA W

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hCoV

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hCoV

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Sha

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Chi

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hCoV

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hCoV

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hCoV 19 Shanghai SH0060 2020 EPI ISL 416367

hCoV 19 Brazil SPBR 10 2020 EPI ISL 416032

hCoV 19 Foshan 20SF210 2020 EPI ISL 406535

hCoV

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Net

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2020

EP

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hCoV

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hCoV 19 USA WA UW43 2020 EPI ISL 415608

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hCoV 19 USA WA UW141 2020 EPI IS

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hCoV 19 USA WA UW56 2020 EPI ISL 415621

hCoV 19 Japan D

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hCoV 19 USA WA UW97 2020 EPI ISL 416635

hCoV 19 Scotland EDB003 2020 EPI ISL 415640

hCoV

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hCoV 19 Singapore 2 2020 EPI ISL 407987

hCoV

19 Netherlands U

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hCoV 19 Wuhan IP

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L 402123

hCoV 19 U

SA WA U

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hCoV

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Fra

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hCoV

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hCoV

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hCoV 19 USA WA UW139 2020 EPI ISL 416677

hCoV

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hCoV 19 Shanghai SH0054 2020 EPI IS

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hCoV

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Net

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hCoV 19 USA W

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hCoV 19 USA WA UW44 2020 EPI ISL 415609

hCoV 19 USA WA UW130 2020 EPI ISL 416668

hCoV 19 USA WA UW62 2020 EPI ISL 415627

hCoV 19 Hangzh

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L 416473

hCoV

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hCoV 19 Australia

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hCoV

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2020 EP

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MT192773.1 nCoV 19 02S human 2020 VNM

hCoV 19 USA CA CDPH UC2 2020 EPI ISL 413558

hCoV 19 Malaysia MKAK CL 2020 5047 2020 EPI ISL 416866

hCoV 19 USA W

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hCoV 19 France N1620 2020 EPI ISL 414624

hCoV 19 Guangdong 20SF174 2020 EPI ISL 406531

hCoV 19 USA CruiseA 17 2020 EPI ISL 413622

hCoV 19 Wuhan IPBCAMS WH 05 2020 EPI ISL 403928

MT020781.2 nCoV FIN 29 Jan 2020

hCoV 19 Brazil SPBR 11 2020 EPI ISL 416033

hCoV 19 Sw

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hCoV

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hCoV

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Aus

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hCoV 19 England 200990660 2020 EPI ISL 414523

hCoV

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Net

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EP

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hCoV 19 Netherlands Gelderland 2 2020 EPI ISL 415462

hCoV

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USA WA U

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hCoV 19 Guangdong 2020XN4448 P

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hCoV 19 USA WA S11 2020 EPI ISL 416466

hCoV 19 Georgia Tb 273 2020 EPI ISL 416479

hCoV

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Gua

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hCoV 19 Guangzhou GZMU0014 2020 EPI ISL 414692

hCoV 19 Sweden 01 2020 EPI ISL 411951hC

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hCoV 19 Taiwan NTU02 2020 EPI ISL 410218

hCoV 19 Canada BC 40860 2020 EPI ISL 415583

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US

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hCoV 19 Jiangsu JS02 2020 EPI ISL 411952

hCoV 19 Singapore 11 2020 EPI ISL 410719hCoV 19 Japan DP0037 2020 EPI ISL 416567

hCoV

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hCoV 19 USA UT 00020 2020 EPI ISL 417028

hCoV

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hCoV 19 USA WA UW98 2020 EPI ISL 416636

hCoV 19 Wales PHW1 2020 EPI ISL 413555

hCoV

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hCoV 19 Japan DP0764 2020 EPI ISL 416624

hCoV 19 Malaysia MKAK CL 2020 5045 2020 EPI ISL 416829

hCoV 19 Hungary mbl1 2020 EPI ISL 416426

hCoV 19 USA W

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hCoV 19 USA CruiseA 7 2020 EPI ISL 413612

hCoV

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hCoV 19 USA M

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hCoV 19 Netherlands NA 35 2020 EPI ISL 415492

hCoV

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hCoV 19 USA WA UW189 2020 EPI ISL 416727

hCoV 19 Italy C

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hCoV 19 USA W

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hCoV

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Sw

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hCoV 19 USA WA UW103 2020 EPI ISL 416641

hCoV 19 USA WA UW50 2020 EPI ISL 415615

hCoV 19 USA WA S22 2020 EPI IS

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hCoV 19 USA CruiseA 12 2020 EPI ISL 413617

hCoV

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hCoV 19 USA WA UW63 2020 EPI ISL 415591

hCoV 19 Belgium ULG 6939 2020 EPI ISL 417020

hCoV 19 USA WA UW

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hCoV 19 USAW

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hCoV

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hCoV 19 France IDF0373 2020 EPI ISL 406597

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hCoV 19 Jiangsu IVDC JS 001 2020 EPI ISL 408488

hCoV

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hCoV 19 Georgia Tb 54 2020 EPI ISL 415641

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hCoV 19 USA WA UW188 2020 EPI ISL 416726

hCoV 19 USA CA8 2020 EPI ISL 411955

hCoV 19 Japan D

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hCoV 19 USA CA9 2020 EPI ISL 412862

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hCoV 19 France IDF0626 2020 EPI ISL 408431

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hCoV 19 USA WA UW127 2020 EPI ISL 416665

hCoV 19 USA WA4 UW2 2020 EPI ISL 413455hCoV 19 USA WA UW89 2020 EPI ISL 416445

hCoV 19 Netherlands ZuidHolland 27 2020 EPI ISL 415531

hCoV 19 Wuhan W

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hCoV 19 Australia VIC04 2020 EPI ISL 416412

hCoV

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hCoV 19 Wales PHW32 2020 EPI IS

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hCoV 19 Japan DP0311 2020 EPI ISL 416593

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hCoV 19 USA WA UW59 2020 EPI ISL 415624

hCoV 19 Belgium VAG 03013 2020 EPI ISL 415155

hCoV 19 USA WA UW152 2020 EPI ISL 416690

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hCoV

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hCoV 19 Wuhan WIV05 2019 EPI ISL 402128

hCoV 19 Nepal 61 2020 EPI ISL 410301

hCoV

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hCoV

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hCoV

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hCoV 19 Hangzh

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hCoV19 G

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3711

hCoV 19 Japan DP0752 2020 EPI ISL 416622

hCoV 19 Shanghai SH0109 2020 EPI ISL 416398

hCoV 19 Cambodia 0012 2020 EPI ISL 411902

hCoV 19 USA WA UW

22 2020 EPI ISL 414591

hCoV 19 USA WA UW80 2020 EPI ISL 416436

hCoV 19 Japan DP0287 2020 EPI ISL 416589

hCoV 19 USA WA UW114 2020 EPI IS

L 416652

hCoV

19

Nethe

rland

s Zu

idHol

land

20

2020

EPI I

SL 41

4562

hCoV 19 USA WA UW70 2020 EPI ISL 415598

hCoV 19 Shanghai SH0012 2020 EPI ISL 416325

hCoV

19 US

A UP

HL 05 2020 E

PI IS

L 415543

hCoV 19 USA WA UW118 2020 EPI ISL 416656

hCoV

19

Chi

le S

antia

go 1

202

0 E

PI I

SL

4145

79

hCoV

19

Bel

gium

GH

B 0

3021

202

0 E

PI I

SL

4079

76

hCoV 19 Jingzhou HBCDC HB 01 2020 EPI ISL 412459

hCoV

19 Japan DP

0152 2020 EP

I ISL 416578

hCoV

19 Netherlands N

A 34 2020 E

PI IS

L 415491

hCoV

19 Belgium

BA

02291 2020 EP

I ISL 415159

hCoV 19 Guangdong 20SF028 2020 EPI ISL 403936

hCoV 19 Wuhan WIV02 2019 EPI ISL 402127

hCoV

19

Fra

nce

B23

51 2

020

EP

I IS

L 41

6513

hCoV 19 USA WA UW172 2020 EPI ISL 416710

hCoV

19

US

A W

A U

W69

202

0 E

PI I

SL

4155

97

hCoV 19 Singapore 1 2020 EPI ISL 406973

hCoV

19

Japa

n TY

WK

501

202

0 E

PI I

SL

4086

66

hCoV 19 Japan DP0065 2020 EPI ISL 416570

hCoV

19

Chi

le S

antia

go 2

202

0 EP

I ISL

414

580

hCoV 19 C

hongqing IVDC

CQ

001 2020 EPI ISL 408481

hCoV 19 Netherlands ZuidHolland 31 2020 EPI ISL 415535

hCoV 19 USA NY NYUMC2 2020 EPI ISL 416830

hCoV 19 China WF0003 2020 EPI ISL 413693

hCoV 19 USA WA UW79 2020 EPI ISL 416435

hCoV

19

Bel

gium

ULG

694

2 20

20 E

PI I

SL

4170

21

hCoV

19

Fran

ce G

E15

83 2

020

EP

I IS

L 41

4600

hCoV 19 Belgium ULG 7019 2020 EPI ISL 417025

hCoV 19 South Korea KUMC02 2020 EPI ISL 413018

hCoV 19 USA WA UW100 2020 EPI ISL 416638

hCoV 19 France HF2239 2020 EPI ISL 416497

hCoV

19 France B

2330 2020 EP

I ISL 416502

hCoV 19 USA WA UW176 2020 EPI ISL 416714

hCoV 19 USA WA S40 2020 EPI ISL 417093

hCoV 19 USA WA UW162 2020 EPI ISL 416700

hCoV 19 France IDF0372 isl 2020 EPI ISL 410720

hCoV

19

USA

TX1

202

0 EP

I ISL

411

956

hCoV 19 Wuhan WH01 2019 EPI ISL 406798

hCoV 19 Australia VIC01 2020 EPI ISL 406844

hCoV 19 Germany NRW 09 2020 EPI ISL 414509

hCoV

19 US

A W

A U

W187 2020 E

PI IS

L 416725

hCoV

19

Chi

na W

F00

12 2

020

EP

I IS

L 41

3697

hCoV

19 Australia N

SW

06 2020 EP

I ISL 413213

hCoV

19

Bel

gium

ULG

300

0 20

20 E

PI I

SL

4170

04

hCoV 19 USA W

A UW

180 2020 EPI IS

L 416718

hCoV 19 Wuhan IPBCAMS WH 03 2019 EPI ISL 403930hC

oV 19 S

cotland CV

R05 2020 E

PI IS

L 414027

hCoV 19 USA UC CDPH UC11 2020 EPI ISL 413931

hCoV

19

Switz

erla

nd 1

0004

7779

7 20

20 E

PI ISL

4130

23

hCoV 19 Japan D

P0319 2020 EPI ISL 416594

hCoV

19

Net

herla

nds

Utr

echt

16

2020

EP

I IS

L 41

4555

MT159716.1 2019 nCoV USA CruiseA 18 2020

hCoV

19

Fra

nce

GE

1973

202

0 E

PI I

SL

4146

31

hCoV

19 Shanghai S

H0070 2020 E

PI IS

L 416373

hCoV 19 Hong Kong VB20024950 2020 EPI ISL 412029

hCoV

19

Shan

ghai

SH

0059

202

0 EP

I ISL

416

366

hCoV

19

US

A W

A U

W73

202

0 E

PI I

SL

4156

01

hCoV 19 Wuhan WIV07 2019 EPI ISL 402130

hCoV 19 USA WA UW136 2020 EPI ISL 416674

hCoV 19 USA WA S29 2020 EPI ISL 417082

hCoV 19 Japan DP0804 2020 EPI ISL 416631

hCoV 19 Japan D

P0027 2020 EPI ISL 416566

MT012098.1 29 human 2020 IND

hCoV 19 USA WA UW57 2020 EPI ISL 415622

hCoV

19

Ger

man

y B

avP

at3

2020

EP

I IS

L 41

4521

hCoV 19 USA WA UW83 2020 EPI ISL 416439

hCoV 19 Netherlands NA 29 2020 EPI ISL 415486

hCoV 19 Singapore 7 2020 EPI ISL 410713

hCoV

19 Georgia Tb 2020 E

PI IS

L 416482

hCoV

19

Aus

tral

ia N

SW

01 2

020

EP

I IS

L 40

7893

hCoV 19 USA WA UW124 2020 EPI ISL 416662

hCoV

19 France H

F1988 2020 E

PI IS

L 414635

hCoV

19

Indi

a 1

31 2

020

EP

I IS

L 41

3523

hCoV 19 Guangdong 20SF201 2020 EPI ISL 406538

MT

1232

92.2

IQT

C04

hum

an 2

020

CH

N

hCoV 19 USA CA CDPH UC3 2020 EPI ISL 413559

hCoV

19 Denm

ark SS

I 09 2020 EP

I ISL 416141

MT192772.1 nCoV 19 01S human 2020 VNM

hCoV 19 N

etherlands ZuidHolland 8 2020 EPI ISL 414468

hCoV

19

Shan

ghai

SH

0128

202

0 EP

I ISL

416

409

hCoV

19 Australia Q

LD09 2020 E

PI IS

L 414414

hCoV

19

Switzer

land

VD5615

202

0 EPI I

SL 41

4023

hCoV 19 Hong Kong case2 VB20017970 2020 EPI ISL 417064

hCoV

19 France ID

F2256 2020 E

PI IS

L 416498

hCoV 19 Wuhan HBCDC HB 02 2019 EPI IS

L 412898

hCoV

19 Sw

itzerland TI9486 2020 E

PI IS

L 413996

hCoV

19

Bel

gium

GM

H 0

3022

202

0 E

PI I

SL

4164

68

MT123293.2 IQTC03 human 2020 CHN

hCoV 19 USA WA UW46 2020 EPI ISL 415611

hCoV 19 Shanghai S

H01 2020 EPI IS

L 414510

hCoV

19 B

elgium

ULG

6638 2020 E

PI IS

L 417017

hCoV

19

Gua

ngzh

ou G

ZMU

0016

202

0 E

PI I

SL

4146

63

hCoV

19

Fra

nce

B23

46 2

020

EP

I IS

L 41

6510

hCoV

19

Net

herla

nds

Zuid

Hol

land

13

2020

EP

I IS

L 41

4470

hCoV 19 Shanghai SH0121 2020 EPI ISL 416405

hCoV

19 England S

HE

F B

FC

EE

2020 EP

I ISL 416733

hCoV 19 Chongqing Y

C01 2020 EPI IS

L 408478

hCoV

19

US

A IL

2 20

20 E

PI I

SL

4100

45

hCoV 19 Shenzhen SZTH 004 2020 EPI ISL 406595

hCoV 19 Japan TKYE6182 2020 EPI ISL 414511

Tree scale: 1

Subtypes of SARS-CoV-2

I [N=132]

II [N=122]

III [N=101]

IV [N=91]

V [N=74]

VI [N=58]

VII [N=3]

VIII [N=3]

IX [N=2]

X [N=1]

XI [N=1]

XII [N=1]

XIII [N=1]

XIV [N=1]

XV [N=1]

XVI [N=1]

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The copyright holder for this preprint (whichthis version posted April 15, 2020. ; https://doi.org/10.1101/2020.04.14.040782doi: bioRxiv preprint