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TRANSCRIPT
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
.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
Position in alignment
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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
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hCoV 19 Jingzhou HBCDC HB 01 2020 EPI ISL 412459
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hCoV
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hCoV 19 China WF0003 2020 EPI ISL 413693
hCoV 19 Japan TKYE6182 2020 EPI ISL 414511
hCoV
19
US
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2020
EP
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2970
hCoV 19 USA CA3 2020 EPI ISL 408008
hCoV
19
Net
herla
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4154
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hCoV 19 Guangzhou GZMU0016 2020 EPI ISL 414663
hCoV
19
US
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hCoV 19 Wuhan W
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hCoV
19 US
A W
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hCoV 19 Shanghai SH0109 2020 EPI ISL 416398
hCoV
19
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hCoV 19 USA WA S22 2020 EPI ISL 417075
hCoV
19 Wuhan IP
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hCoV
19 Belgium
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hCoV
19
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hCoV 19 USA CruiseA 4 2020 EPI ISL 413609
hCoV 19 Australia
NSW01 2020 EPI IS
L 407893
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
hCoV
19 Belgium
SH
03014 2020 EP
I ISL 415156
hCoV
19
Fra
nce
B23
46 2
020
EP
I IS
L 41
6510
hCoV
19 England 200990723 2020 E
PI IS
L 414012
hCoV
19
USA
WA
S64
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EPI
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4171
17
hCoV
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Net
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202
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SL
4144
28
hCoV 19 Shanghai SH0012 2020 EPI ISL 416325
hCoV 19 USA WA1 2020 EPI ISL 404895
hCoV 19 USA WA UW98 2020 EPI IS
L 416636
hCoV
19
Belgi
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5154
hCoV 19 Japan TY WK 521 2020 EPI ISL 408667
hCoV
19 South K
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02 2020 EP
I ISL 413018
hCoV 19 Japan DP0752 2020 EPI ISL 416622
hCoV 19 USA WA UW127 2020 EPI ISL 416665
hCoV
19
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020
EP
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4146
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hCoV 19 Georgia Tb 54 2020 EPI IS
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hCoV
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hCoV
19
US
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4156
06
hCoV 19 Netherlands NA 34 2020 EPI ISL 415491
hCoV
19 U
SA
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54 2020 EP
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hCoV 19 Belgium ULG
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hCoV
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US
A W
A U
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4145
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hCoV 19 USA WA UW85 2020 EPI ISL 416441
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
nds Noord
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L 414545
hCoV 19 Shanghai SH0117 2020 EPI ISL 416403
hCoV
19
Gua
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020X
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0002
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4138
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hCoV
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D2020080 P
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hCoV
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herla
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2 20
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SL
4154
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hCoV
19
Taiw
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GMH C
GU 03
2020
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hCoV 19 USA WA UW128 2020 EPI ISL 416666
hCoV
19
Fran
ce H
F179
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4627
hCoV 19 Shanghai SH0070 2020 EPI ISL 416373
Tree scale: 0.001
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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
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hCoV 19 Ireland COR 20134 2020 EPI IS
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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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L 416361
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
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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
19
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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 Japan D
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hCoV 19 USA WA UW54 2020 EPI ISL 415619
hCoV
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SL
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hCoV 19 Brazil SPBR
05 2020 EPI ISL 414016
hCoV 19 USA CruiseA 2 2020 EPI ISL 413607
hCoV
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4149
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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
L 416686
hCoV 19 China IQTC02 2020 EPI ISL 412967
hCoV 19 Saudi Arabia KAIM
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hCoV
19
Net
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Noo
rdB
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6 20
20 E
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SL
4155
03
hCoV 19 Brazil SPBR 02 2020 EPI ISL 413016
hCoV
19 Denm
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I 02 2020 EP
I ISL 416143
hCoV 19 USA WA UW175 2020 EPI IS
L 416713
hCoV
19 Japan DP
0158 2020 EP
I ISL 416579
hCoV
19
Belg
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030
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020
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1647
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hCoV
19
Bel
gium
DB
D 0
3024
202
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PI I
SL
4164
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hCoV
19
USA W
A UW
158
2020
EPI I
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6696
hCoV 19 USA WA UW191 2020 EPI ISL 416729
hCoV
19 F
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1684 2020 E
PI IS
L 414626
hCoV 19 Georgia Tb 468 2020 EPI ISL 415643
hCoV 19 England SHEF BFCC0 2020 EPI ISL 416731
hCoV
19 England 201040081 2020 E
PI IS
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hCoV
19
Austra
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LD01
202
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hCoV
19 France IDF2278 2020 E
PI IS
L 416499
hCoV 19 USA WA UW183 2020 EPI ISL 416721
hCoV
19 US
A W
A U
W137 2020 E
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L 416675
hCoV 19 N
etherlands NoordBrabant 17 2020 EPI ISL 414457
hCoV 19 USA WA UW41 2020 EPI ISL 415606
hCoV 19 Singapore 9 2020 EPI ISL 410715
hCoV
19
Net
herla
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NA
17
2020
EP
I IS
L 41
5473
hCoV
19 France B
FC
2147 2020 EP
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hCoV 19 Wuhan IV
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hCoV 19 USA WA UW
178 2020 EPI ISL 416716
hCoV 19 France G
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hCoV 19 D
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hCoV 19 Singapore 5 2020 EPI ISL 410536
hCoV
19
Chi
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020
EP
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3791
hCoV 19 USA WA2 2020 EPI ISL 412970
hCoV
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01
2020
EP
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2972
hCoV
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19
Net
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28
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5532
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4163
35
hCoV 19 Shanghai SH0055 2020 EPI ISL 416363
hCoV
19 Hangzhou ZJU
01 2020 EP
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hCoV
19 Netherlands N
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hCoV 19 Shanghai SH0008 2020 EPI ISL 416321
hCoV
19 B
elgium
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03012 2020
EP
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hCoV
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0699 2020 EP
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19
Net
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NA
12
2020
EP
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5468
hCoV
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A W
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W155 2020 E
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L 416693
hCoV 19 Shanghai SH0044 2020 EPI IS
L 416353
hCoV
19
Den
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4161
53
hCoV 19 Shanghai SH0110 2020 EPI ISL 416399
hCoV
19
Switz
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020
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SL 4
1569
8
hCoV 19 USA WA UW95 2020 EPI ISL 416451
hCoV 19 USA CruiseA 14 2020 EPI ISL 413619
hCoV 19 Wuhan HBCDC HB 01 2019 EPI ISL 402132
hCoV 19 USA WA UW165 2020 EPI ISL 416703
hCoV
19
Net
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202
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SL
4144
29
hCoV
19
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EP
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6746
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19
Bel
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SL
4170
15
hCoV
19
Fin
land
FIN
0303
2020
C 2
020
EP
I IS
L 41
3604
hCoV 19 Australia NSW03 2020 EPI ISL 408977
hCoV 19 USA CruiseA 10 2020 EPI ISL 413615
hCoV
19
Bel
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030
23 2
020
EP
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L 41
6470
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19
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HKU
SZ
002
2020
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4060
30
hCoV
19 Japan DP
0357 2020 EP
I ISL 416598
hCoV 19 USA WA UW76 2020 EPI ISL 415604
hCoV
19 France B
2344 2020 EP
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MT039887.1 2019 nCoV USA WI1 2020
hCoV
19 Netherlands Z
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L 414445
hCoV 19 Wuhan IVDC HB 04 2020 EPI ISL 402120
hCoV 19 USA CA2 2020 EPI ISL 406036
hCoV 19 USA WA S70 2020 EPI ISL 417123
hCoV
19 Scotland E
DB
004 2020 EP
I ISL 415629
hCoV
19
Fran
ce G
E15
83 2
020
EP
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L 41
4623
hCoV 19 Hangzhou ZJU 06 2020 EPI ISL 416047
hCoV
19
Net
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Zui
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land
17
2020
EP
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L 41
4559
hCoV 19 Shanghai S
H0027 2020 EPI IS
L 416336
hCoV 19 Fujian 13 2020 EPI ISL 411066
hCoV 19 USA WA UW129 2020 EPI ISL 416667
hCoV 19 USA CA5 2020 EPI ISL 408010
hCoV
19
Hun
gary
49
2020
EP
I ISL
416
744
hCoV
19
Japa
n TY
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12 2
020
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4086
65
hCoV 19 Japan DP0588 2020 EPI ISL 416610
hCoV 19 Hangzhou ZJU 07 2020 EPI ISL 416425
hCoV 19 USA WA UW150 2020 EPI ISL 416688
hCoV
19 Netherlands N
A 16 2020 E
PI IS
L 415472
hCoV 19 Brazil SPBR 06 2020 EPI ISL 414015
hCoV
19
Bel
gium
ULG
621
6 20
20 E
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SL
4170
14
hCoV 19 South Korea SNU01 2020 EPI ISL 411929
hCoV
19 Japan DP
0457 2020 EP
I ISL
416601
hCoV
19
Shen
zhen
HKU
SZ
005
2020
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ISL
4058
39
hCoV
19
Net
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NA
11
2020
EP
I IS
L 41
5467
hCoV
19
Sha
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0002
202
0 E
PI I
SL
4163
16
hCoV 19 Netherlands NA 6 2020 EPI ISL 415495
hCoV 19 USA W
A UW23 2020 EPI IS
L 414592
hCoV 19 France HF1871 2020 EPI ISL 414630
hCoV 19 France B2340 2020 EPI ISL 416507
hCoV
19 Kuw
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17 2020 EP
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hCoV
19
Fra
nce
HF
1795
202
0 E
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SL
4146
27
hCoV 19 USA WA UW87 2020 EPI ISL 416443
hCoV 19 Japan DP0786 2020 EPI ISL 416628
hCoV
19
Nethe
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020
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4135
84
hCoV
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Sha
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0032
202
0 E
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SL
4163
41
hCoV 19 Shanghai SH0107 2020 EPI ISL 416397
hCoV 19 USA WA UW99 2020 EPI IS
L 416637
hCoV 19 USA WA UW113 2020 EPI ISL 416651
hCoV
19
Sha
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0115
202
0 E
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SL
4164
02
hCoV
19
Net
herla
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NA
25
2020
EP
I IS
L 41
5482
hCoV 19 Switzerland AG0361 2020 EPI ISL 413999
hCoV
19
Finl
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FIN
508
202
0 EP
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414
643
hCoV 19 Foshan 20SF207 2020 EPI ISL 406534
hCoV
19 France B2334 2020 E
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hCoV 19 USA WA UW15 2020 EPI ISL 414363
hCoV
19
Bel
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MTR
030
21 2
020
EP
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L 41
6467
hCoV 19 France N
1620 2020 EPI ISL 414601
hCoV
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2020
EP
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L 41
2980
hCoV
19 Belgium
SN
03031 2020 EP
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hCoV 19 Nonthaburi 61 2020 EPI ISL 403962
hCoV 19 Saudi Arabia SCDC 3321 2020 EPI ISL 416521
hCoV 19 USA WA S95 2020 EPI IS
L 417148
hCoV
19
Brazil
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4160
36
hCoV
19
Net
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19
Eng
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02
2020
EP
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7073
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19
Chi
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F00
29 2
020
EP
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L 41
3809
hCoV
19
Eng
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200
9907
23 2
020
EP
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L 41
4012
hCoV
19
Chi
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F00
01 2
020
EP
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3691
hCoV 19 Wuhan WIV04 2019 EPI ISL 402124
hCoV 19 USA WA UW115 2020 EPI ISL 416653
hCoV 19 USA WA UW66 2020 EPI ISL 415594
hCoV 19 USA WA12 UW8 2020 EPI ISL 413563
hCoV
19
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SH
0009
202
0 EP
I ISL
416
322
hCoV 19 Japan DP0361 2020 EPI ISL 416599
hCoV
19
Sha
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0074
202
0 E
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SL
4163
77
hCoV 19 USA WA UW55 2020 EPI ISL 415620
hCoV
19
Den
mar
k S
SI 1
04 2
020
EP
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L 41
5648
hCoV
19
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land
20V
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75 2
020
EP
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L 41
6538
hCoV 19 USA WA S64 2020 EPI IS
L 417117
hCoV
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HF
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202
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ZT
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02 2
020
EP
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6593
hCoV 19 USA WA UW
96 2020 EPI ISL 416452
hCoV 19 USA C
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L 413613
hCoV
19 Sw
itzerland GE
3121 2020 EP
I ISL 414019
hCoV
19 Belgium
ULG
6754 2020 EP
I ISL 417019
hCoV 19 Hangzh
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03 2020 EPI IS
L 416044
hCoV
19 F
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2020 EP
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hCoV 19 Belgium SH 03014 2020 EPI ISL 415156
hCoV
19 Shandong IV
DC
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001 2020 EP
I ISL 408482
hCoV 19 Zhejiang WZ 01 2020 EPI IS
L 404227
hCoV
19 US
A NY
NY
UM
C3 2020 E
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L 416831
hCoV 19 Finland FIN 266 2020 EPI ISL 414646
hCoV
19 Belgium
VLM
03011 2020 EP
I ISL 415153
hCoV
19 Sw
itzerland BE
2536 2020 EP
I ISL 415704
hCoV
19 Japan DP
0765 2020 EP
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MT188341.1 USA MN1 M
DH1 2020
hCoV
19 Netherlands N
oordHolland 3 2020 E
PI IS
L 415525
hCoV
19 US
A W
A U
W60 2020 E
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L 415625
hCoV 19 USA WA UW74 2020 EPI ISL 415602
hCoV
19
Wuh
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H04
202
0 E
PI I
SL
4068
01
hCoV
19 France B
2337 2020 EP
I ISL 416506
hCoV 19 USA W
A UW
20 2020 EPI IS
L 414368
hCoV 19 France N
2223 2020 EPI ISL 416494
hCoV
19 Netherlands Z
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PI IS
L 414558
hCoV 19 USA WA UW86 2020 EPI ISL 416442
hCoV
19
Bra
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PB
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8 20
20 E
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SL
4160
29
hCoV
19
USA AZ1
2020
EPI I
SL 406
223
hCoV
19 Taiwan C
GM
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GU
03 2020 EP
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hCoV
19
Bei
jing
IVD
C B
J 00
5 20
20 E
PI I
SL
4084
85
hCoV 19 China IQTC01 2020 EPI ISL 412966
hCoV
19 Japan Hu D
P K
ng 19 027 2020 EP
I ISL 412969
hCoV
19 US
A W
A U
W185 2020 E
PI IS
L 416723
hCoV 19 U
SA CruiseA 23 2020 EPI ISL 414482
hCoV
19 F
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2237 2020 E
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L 416496
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
19
Sw
itzer
land
GE
8102
202
0 E
PI I
SL
4154
58
hCoV 19 USA WA UW52 2020 EPI IS
L 415617
hCoV
19 Japan DP
0274 2020 EP
I ISL 416586
hCoV
19
Nethe
rland
s Utre
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3636
28 2
020
EPI ISL 4
1358
9
hCoV 19 USA WA UW67 2020 EPI ISL 415595
hCoV
19 France IDF0515 isl 2020 E
PI IS
L 410984
hCoV
19 Portugal C
V63 2020 E
PI IS
L 413648
hCoV
19
Sha
ngha
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0003
202
0 E
PI I
SL
4163
17
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
19 Japan SM
U 0311S
3 2020 EP
I ISL 416525
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
19
New
Zea
land
20V
R01
89 2
020
EP
I IS
L 41
6519
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19
Sichua
nIV
DC SC 0
01 2
020
EPI ISL
4084
84
hCoV 19 USA WA S2 2020 EPI ISL 413456
hCoV
19
Switzer
land
SZ1417
202
0 EPI I
SL 415
702
hCoV 19 Poland PL P1 2020 EPI ISL 416488
hCoV 19 USA WA UW190 2020 EPI ISL 416728
hCoV
19 Japan D
P0
346 2020 E
PI IS
L 416597
hCoV
19 Netherlands N
A 31 2020 E
PI IS
L 415488
hCoV
19
Bel
gium
BC
030
16 2
020
EP
I IS
L 41
5157
hCoV 19 USA WA S68 2020 EPI ISL 417121
hCoV
19
Bra
zil A
MB
R 0
2 20
20 E
PI I
SL
4170
34
hCoV 19 USA WA UW75 2020 EPI ISL 415603
hCoV
19
Yunna
n IV
DC YN 0
03 2
020
EPI ISL 4
0848
0
hCoV
19
Sw
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land
TI2
045
2020
EP
I IS
L 41
5703
hCoV 19 USA WA UW149 2020 EPI ISL 416687
hCoV
19
US
AC
A1
2020
EP
I IS
L 40
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
19 V
ietn
am C
M99
202
0 E
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
19
Chi
le T
alca
1 2
020
EP
I IS
L 41
4577
hCoV 19 USA WA S89 2020 EPI ISL 417142
hCoV
19 France HF2234 2020 E
PI IS
L 416495
hCoV
19
Per
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0 20
20 E
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SL
4157
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hCoV
19
Switz
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E142
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20 E
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L 41
5454
hCoV
19 US
A W
A U
W104 2020 E
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L 416642
hCoV
19
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2020
EP
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L 40
3932
hCoV
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A WA U
W169 2020 E
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L 416707
hCoV
19 Germ
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I ISL 414520
hCoV 19 France IDF0372 2020 EPI ISL 406596
hCoV
19
Fra
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202
0 E
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SL
4167
51
hCoV 19 Shanghai SH0114 2020 EPI ISL 416401
hCoV
19 Netherlands N
A 30 2020 E
PI IS
L 415487
hCoV
19
Belgi
um U
MF 0
3025
202
0 EPI I
SL 41
6472
hCoV
19 Japan DP
0278 2020 EP
I ISL 416587
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
H 09 2020 EPI ISL 411
957
hCoV 19 Fosh
an 20SF211 2020 E
PI ISL 4
06536
hCoV 19 USA W
A UW11
2 2020 EPI ISL 416650
hCoV
19 France V
alence 532 2020 EP
I ISL 416749
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
19
Wuh
an H
BC
DC
HB
03
2020
EP
I IS
L 41
2979
hCoV
19
Sw
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land
AG
7120
202
0 E
PI I
SL
4154
57
hCoV
19
US
A W
A U
W11
0 20
20 E
PI I
SL
4166
48
hCoV 19 USA WA UW173 2020 EPI ISL 416711
hCoV
19 U
SA
WA
UW
168 2020 E
PI IS
L 416706
hCoV
19 US
A W
A3 U
W1 2020 E
PI IS
L 413025
hCoV 19 USA W
A UW
171 2020 EPI IS
L 416709
hCoV 19 Wuhan IVDC HB 05 2019 EPI ISL 402121
hCoV
19
Sw
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land
BE
6651
202
0 E
PI I
SL
4154
56
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
19
Por
tuga
l CV
62 2
020
EP
I IS
L 41
3647
hCoV 19 USA W
A UW128 2020 EPI IS
L 416666
hCoV
19 Finland F
IN03032020B
2020 EP
I ISL 413603
hCoV
19
Sha
ndon
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007
2020
EP
I IS
L 41
4940
hCoV
19
Chi
na W
F001
9 20
20 E
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413
749
hCoV
19 Australia N
SW
07 2020 EP
I ISL 413214
hCoV
19
USA W
A UW
159
2020
EPI I
SL 41
6697
hCoV
19 US
A W
A U
W78 2020 E
PI IS
L 416434
hCoV
19
New Z
eala
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0VR02
76 2
020
EPI ISL
4165
39
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
19
Net
herla
nds
NA
24
2020
EP
I IS
L 41
5481
hCoV
19 Japan D
P0
059 2020 E
PI IS
L 416569
hCoV 19 USA WA UW43 2020 EPI ISL 415608
MT22
6610
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020
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hCoV 19 USA WA UW85 2020 EPI ISL 416441
hCoV 19 USA WA UW141 2020 EPI IS
L 416679
hCoV 19 USA WA UW56 2020 EPI ISL 415621
hCoV 19 Japan D
P0687 2020 EPI ISL 416614
hCoV 19 USA WA UW97 2020 EPI ISL 416635
hCoV 19 Scotland EDB003 2020 EPI ISL 415640
hCoV
19 US
A U
PH
L 01 2020 EP
I ISL 415539
hCoV 19 Singapore 2 2020 EPI ISL 407987
hCoV
19 Netherlands U
trecht 18 2020 EP
I ISL 415527
hCoV 19 Wuhan IP
BCAMS WH 01 2019 EPI IS
L 402123
hCoV 19 U
SA WA U
W117 2020 EPI ISL 416655
hCoV
19
Fra
nce
HF
1870
202
0 E
PI I
SL
4146
29
hCoV
19 Japan DP
0743 2020 EP
I ISL 416621
hCoV
19
Sha
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0030
202
0 E
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SL
4163
39
hCoV
19
Aus
tralia
QLD
03 2
020
EP
I IS
L 41
0717
hCoV 19 USA WA UW139 2020 EPI ISL 416677
hCoV
19 Georgia T
b 477 2020 EP
I ISL 415642
hCoV 19 Shanghai SH0054 2020 EPI IS
L 416362
hCoV
19
Net
herla
nds
NA
2 20
20 E
PI I
SL
4154
76
hCoV 19 USA W
A1 2020 EPI IS
L 404895
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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08 2020 EPI IS
L 416473
hCoV
19 Japan DP
0724 2020 EP
I ISL 416620
hCoV 19 Australia
QLDID
919 2020 EPI ISL 417031
hCoV
19 N
etherlands N
A 28
2020 EP
I ISL 415485
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
A UW
119 2020 E
PI ISL 4
16657
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
itzerland GE4984 2020 EPI ISL 415708
hCoV
19 Japan DP
0543 2020 EP
I ISL 416607
hCoV
19
Aus
tral
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LD04
202
0 E
PI I
SL
4107
18
hCoV
19
Net
herla
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Noo
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nd 2
202
0 EP
I ISL
414
549
hCoV
19 Shanghai S
H0022 2020 E
PI IS
L 416331
hCoV 19 England 200990660 2020 EPI ISL 414523
hCoV
19
Net
herla
nds
NA
19
2020
EP
I IS
L 41
5475
hCoV 19 Netherlands Gelderland 2 2020 EPI ISL 415462
hCoV
19
USA WA U
W13
8 20
20 E
PI ISL
4166
76
hCoV 19 Guangdong 2020XN4448 P
0002 2020 EPI IS
L 413857
hCoV 19 USA WA S11 2020 EPI ISL 416466
hCoV 19 Georgia Tb 273 2020 EPI ISL 416479
hCoV
19
Gua
ngzh
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ZMU
0042
202
0 E
PI I
SL
4146
88
hCoV 19 Guangzhou GZMU0014 2020 EPI ISL 414692
hCoV 19 Sweden 01 2020 EPI ISL 411951hC
oV 1
9 S
hang
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H00
10 2
020
EP
I IS
L 41
6323
hCoV
19 FinlandFIN
03032020A 2020 E
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L 413602
hCoV 19 Taiwan NTU02 2020 EPI ISL 410218
hCoV 19 Canada BC 40860 2020 EPI ISL 415583
hCoV
19
Fra
nce
HF
2039
202
0 E
PI I
SL
4156
49
hCoV
19 Japan D
P0
568 2020 E
PI IS
L 416609
hCoV
19
US
A W
A U
W10
8 20
20 E
PI I
SL
4166
46
hCoV 19 Jiangsu JS02 2020 EPI ISL 411952
hCoV 19 Singapore 11 2020 EPI ISL 410719hCoV 19 Japan DP0037 2020 EPI ISL 416567
hCoV
19 Finland
FIN
455 2020 EP
I ISL 414642
hCoV 19 USA UT 00020 2020 EPI ISL 417028
hCoV
19
Spa
in V
alen
cia5
202
0 E
PI I
SL
4164
84
hCoV
19
Net
herla
nds
Utr
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1 2
020
EP
I IS
L 41
4435
hCoV 19 Wuhan IVDC HB envF13 21 2020 EPI ISL 408515
hCoV
19
Vietn
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R03 3
8142
202
0 EPI I
SL 40
8668
hCoV
19
Finl
and
FIN
313
202
0 EP
I ISL
414
641
hCoV
19
Bel
gium
DB
A 0
3032
202
0 E
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SL
4164
75
hCoV
19
Net
herla
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Utre
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5 20
20 E
PI I
SL
4145
54
hCoV
19 Belgium
ULG
6670 2020 EP
I ISL 417018
hCoV 19 USA WA UW98 2020 EPI ISL 416636
hCoV 19 Wales PHW1 2020 EPI ISL 413555
hCoV
19 Italy SP
L1 2020 EP
I ISL 412974
hCoV
19
Gua
ngdo
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020X
N44
75 P
0042
202
0 EPI I
SL 41
3854
hCoV
19 Netherlands F
levoland 1 2020 EP
I ISL 415460
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
A UW
142 2020 EPI IS
L 416680
hCoV 19 USA CruiseA 7 2020 EPI ISL 413612
hCoV
19 Canada B
C 02421 2020 E
PI IS
L415581
hCoV 19 USA M
N2 MDH2 2020 E
PI ISL 4
14589
hCoV 19 Netherlands NA 35 2020 EPI ISL 415492
hCoV
19 JapanD
P0464 2020 E
PI IS
L 416603
hCoV 19 USA WA UW189 2020 EPI ISL 416727
hCoV 19 Italy C
DG
1 2020 EPI ISL 412973
hCoV 19 USA W
A UW
177 2020 EPI IS
L 416715
hCoV
19
Sw
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land
GE
1402
202
0 E
PI I
SL
4157
00
hCoV
19
Beijin
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3 20
20 E
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4135
20
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
L 417075
hCoV
19
US
A C
A M
G09
87 2
020
EP
I IS
L 41
6457
hCoV
19
Brazil
SPBR 1
2 20
20 E
PI ISL 4
1603
4
hCoV 19 USA CruiseA 12 2020 EPI ISL 413617
hCoV
19 Shanghai S
H0126 2020 E
PI IS
L 416407
hCoV 19 USA WA UW63 2020 EPI ISL 415591
hCoV 19 Belgium ULG 6939 2020 EPI ISL 417020
hCoV 19 USA WA UW
123 2020 EPI ISL 416661
hCoV 19 USAW
A UW186 2020 EPI ISL 416724
hCoV
19
US
A W
A U
W16
0 20
20 E
PI I
SL
4166
98
hCoV 19 France IDF0373 2020 EPI ISL 406597
hCoV
19
Den
mar
k S
SI 0
5 20
20 E
PI I
SL
4161
40
hCoV
19
Japa
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WK 5
21 2
020
EPI ISL
4086
67
hCoV 19 USA WA UW126 2020 EPI ISL 416664
hCoV
19
Sou
th K
orea
KU
MC
01 2
020
EP
I IS
L 41
3017
hCoV
19
Sout
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C03
202
0 EP
I ISL
407
193
hCoV 19 Denmark SSI 101 2020 EPI ISL 415646
hCoV
19
Aus
tral
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IC07
202
0 E
PI I
SL
4164
15
hCoV
19 Netherlands N
oordBrabant 6 2020 E
PI IS
L 414451
hCoV
19
Sou
th K
orea
KU
MC
03 2
020
EP
I IS
L 41
3513
hCoV 19 Jiangsu IVDC JS 001 2020 EPI ISL 408488
hCoV
19 France B
2336 2020 EP
I ISL 416505
hCoV 19 Georgia Tb 54 2020 EPI ISL 415641
hCoV
19
Engla
nd S
HEF BFC
B1 20
20 E
PI ISL
4167
30
hCoV
19 US
A W
A U
W134 2020 E
PI IS
L 416672
hCoV
19 Japan DP
0236 2020 EP
I ISL 416585
hCoV 19 USA WA UW188 2020 EPI ISL 416726
hCoV 19 USA CA8 2020 EPI ISL 411955
hCoV 19 Japan D
P0827 2020 EPI ISL 416632
hCoV 19 USA CA9 2020 EPI ISL 412862
hCoV
19 G
erman
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Pat1 20
20 E
PI ISL 4
0686
2
hCoV
19
Bra
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PB
R 0
3 20
20 E
PI I
SL
4140
14
hCoV
19
Sco
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CV
R07
202
0 E
PI I
SL
4156
30
hCoV 19 France IDF0626 2020 EPI ISL 408431
MT192765.1 PC00101P hum
an 2020 USA
MT04
9951
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unna
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hum
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020
CHN
hCoV 19 Georgia Tb 673 2020 EPI ISL 416478
hCoV
19
Shang
hai S
H0021
202
0 EPI I
SL 41
6330
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
IV06 2019 EPI ISL 402129
hCoV 19 Australia VIC04 2020 EPI ISL 416412
hCoV
19 Australia N
SW
05 2020 EP
I ISL 412975
hCoV 19 Wales PHW32 2020 EPI IS
L 415920
hCoV 19 Japan DP0311 2020 EPI ISL 416593
hCoV
19
Net
herla
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Utre
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3 20
20 E
PI I
SL
4145
52
hCoV
19 US
A W
A U
W122 2020 E
PI IS
L 416660
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
hCoV
19
Sha
ndon
g LY
005
2020
EP
I IS
L 41
4938
hCoV
19
Net
herla
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Noo
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raba
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6 20
20 E
PI I
SL
4145
45
hCoV 19 USA WA UW179 2020 EPI ISL 416717
hCoV
19
Wuh
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BC
DC
HB
02
2020
EP
I IS
L 41
2978
hCoV
19
US
A W
A U
W82
202
0 E
PI I
SL
4164
38hCoV
19 US
A C
A P
C101P
2020 EP
I ISL 414648
hCoV 19 Wuhan WIV05 2019 EPI ISL 402128
hCoV 19 Nepal 61 2020 EPI ISL 410301
hCoV
19 Japan DP
0196 2020 EP
I ISL 416583
hCoV
19
Net
herla
nds
Gel
derla
nd 1
202
0 E
PI I
SL
4154
61
hCoV
19 Japan DP
0294 2020 EP
I ISL 416592
hCoV
19 U
SA
WA
UW
140 2020 E
PI IS
L 416678
hCoV
19 Japan DP
0077 2020 EP
I ISL 416571
hCoV 19 Hangzh
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PI ISL 4
07313
hCoV
19 Netherlands B
laricum 1364780 2020 E
PI IS
L 413566
hCoV
19
Shan
ghai
SH
0004
202
0 EP
I ISL
416
318
hCoV 19 Japan KY V 029 2020 EPI ISL 408669
hCoV19 G
eorgia Tb 537 2020 EPI ISL 416480
hCoV
19 Japan D
P0
880 2020 E
PI IS
L 416633hCoV
19
Chi
na W
F00
14 2
020
EP
I IS
L 41
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
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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
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SL
4155
97
hCoV 19 Singapore 1 2020 EPI ISL 406973
hCoV
19
Japa
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WK
501
202
0 E
PI I
SL
4086
66
hCoV 19 Japan DP0065 2020 EPI ISL 416570
hCoV
19
Chi
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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
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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
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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
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0004
7779
7 20
20 E
PI ISL
4130
23
hCoV 19 Japan D
P0319 2020 EPI ISL 416594
hCoV
19
Net
herla
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Utr
echt
16
2020
EP
I IS
L 41
4555
MT159716.1 2019 nCoV USA CruiseA 18 2020
hCoV
19
Fra
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GE
1973
202
0 E
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SL
4146
31
hCoV
19 Shanghai S
H0070 2020 E
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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