Genome Sequencing of Sewage Detects Regionally Prevalent SARS-CoV-2 Variants

Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Viral genome sequencing has guided our...

Full description

Saved in:
Bibliographic Details
Published inmBio Vol. 12; no. 1
Main Authors Crits-Christoph, Alexander, Kantor, Rose S., Olm, Matthew R., Whitney, Oscar N., Al-Shayeb, Basem, Lou, Yue Clare, Flamholz, Avi, Kennedy, Lauren C., Greenwald, Hannah, Hinkle, Adrian, Hetzel, Jonathan, Spitzer, Sara, Koble, Jeffery, Tan, Asako, Hyde, Fred, Schroth, Gary, Kuersten, Scott, Banfield, Jillian F., Nelson, Kara L.
Format Journal Article
LanguageEnglish
Published United States American Society for Microbiology 19.01.2021
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Recently, RT-qPCR of municipal wastewater has been used to quantify the abundance of SARS-CoV-2 in several regions globally. However, metatranscriptomic sequencing of wastewater can be used to profile the viral genetic diversity across infected communities. Here, we sequenced RNA directly from sewage collected by municipal utility districts in the San Francisco Bay Area to generate complete and nearly complete SARS-CoV-2 genomes. The major consensus SARS-CoV-2 genotypes detected in the sewage were identical to clinical genomes from the region. Using a pipeline for single nucleotide variant calling in a metagenomic context, we characterized minor SARS-CoV-2 alleles in the wastewater and detected viral genotypes which were also found within clinical genomes throughout California. Observed wastewater variants were more similar to local California patient-derived genotypes than they were to those from other regions within the United States or globally. Additional variants detected in wastewater have only been identified in genomes from patients sampled outside California, indicating that wastewater sequencing can provide evidence for recent introductions of viral lineages before they are detected by local clinical sequencing. These results demonstrate that epidemiological surveillance through wastewater sequencing can aid in tracking exact viral strains in an epidemic context.
AbstractList Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Recently, RT-qPCR of municipal wastewater has been used to quantify the abundance of SARS-CoV-2 in several regions globally. However, metatranscriptomic sequencing of wastewater can be used to profile the viral genetic diversity across infected communities. Here, we sequenced RNA directly from sewage collected by municipal utility districts in the San Francisco Bay Area to generate complete and nearly complete SARS-CoV-2 genomes. The major consensus SARS-CoV-2 genotypes detected in the sewage were identical to clinical genomes from the region. Using a pipeline for single nucleotide variant calling in a metagenomic context, we characterized minor SARS-CoV-2 alleles in the wastewater and detected viral genotypes which were also found within clinical genomes throughout California. Observed wastewater variants were more similar to local California patient-derived genotypes than they were to those from other regions within the United States or globally. Additional variants detected in wastewater have only been identified in genomes from patients sampled outside California, indicating that wastewater sequencing can provide evidence for recent introductions of viral lineages before they are detected by local clinical sequencing. These results demonstrate that epidemiological surveillance through wastewater sequencing can aid in tracking exact viral strains in an epidemic context.
Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Recently, RT-qPCR of municipal wastewater has been used to quantify the abundance of SARS-CoV-2 in several regions globally. However, metatranscriptomic sequencing of wastewater can be used to profile the viral genetic diversity across infected communities. Here, we sequenced RNA directly from sewage collected by municipal utility districts in the San Francisco Bay Area to generate complete and nearly complete SARS-CoV-2 genomes. The major consensus SARS-CoV-2 genotypes detected in the sewage were identical to clinical genomes from the region. Using a pipeline for single nucleotide variant calling in a metagenomic context, we characterized minor SARS-CoV-2 alleles in the wastewater and detected viral genotypes which were also found within clinical genomes throughout California. Observed wastewater variants were more similar to local California patient-derived genotypes than they were to those from other regions within the United States or globally. Additional variants detected in wastewater have only been identified in genomes from patients sampled outside California, indicating that wastewater sequencing can provide evidence for recent introductions of viral lineages before they are detected by local clinical sequencing. These results demonstrate that epidemiological surveillance through wastewater sequencing can aid in tracking exact viral strains in an epidemic context.Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Recently, RT-qPCR of municipal wastewater has been used to quantify the abundance of SARS-CoV-2 in several regions globally. However, metatranscriptomic sequencing of wastewater can be used to profile the viral genetic diversity across infected communities. Here, we sequenced RNA directly from sewage collected by municipal utility districts in the San Francisco Bay Area to generate complete and nearly complete SARS-CoV-2 genomes. The major consensus SARS-CoV-2 genotypes detected in the sewage were identical to clinical genomes from the region. Using a pipeline for single nucleotide variant calling in a metagenomic context, we characterized minor SARS-CoV-2 alleles in the wastewater and detected viral genotypes which were also found within clinical genomes throughout California. Observed wastewater variants were more similar to local California patient-derived genotypes than they were to those from other regions within the United States or globally. Additional variants detected in wastewater have only been identified in genomes from patients sampled outside California, indicating that wastewater sequencing can provide evidence for recent introductions of viral lineages before they are detected by local clinical sequencing. These results demonstrate that epidemiological surveillance through wastewater sequencing can aid in tracking exact viral strains in an epidemic context.
Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread.
Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral genomes are usually sequenced from nasopharyngeal swabs of individual patients to track viral spread. Recently, RT-qPCR of municipal wastewater has been used to quantify the abundance of SARS-CoV-2 in several regions globally. However, metatranscriptomic sequencing of wastewater can be used to profile the viral genetic diversity across infected communities. Here, we sequenced RNA directly from sewage collected by municipal utility districts in the San Francisco Bay Area to generate complete and nearly complete SARS-CoV-2 genomes. The major consensus SARS-CoV-2 genotypes detected in the sewage were identical to clinical genomes from the region. Using a pipeline for single nucleotide variant calling in a metagenomic context, we characterized minor SARS-CoV-2 alleles in the wastewater and detected viral genotypes which were also found within clinical genomes throughout California. Observed wastewater variants were more similar to local California patient-derived genotypes than they were to those from other regions within the United States or globally. Additional variants detected in wastewater have only been identified in genomes from patients sampled outside California, indicating that wastewater sequencing can provide evidence for recent introductions of viral lineages before they are detected by local clinical sequencing. These results demonstrate that epidemiological surveillance through wastewater sequencing can aid in tracking exact viral strains in an epidemic context.
Author Tan, Asako
Hetzel, Jonathan
Whitney, Oscar N.
Kuersten, Scott
Hinkle, Adrian
Nelson, Kara L.
Spitzer, Sara
Lou, Yue Clare
Crits-Christoph, Alexander
Flamholz, Avi
Hyde, Fred
Kantor, Rose S.
Olm, Matthew R.
Al-Shayeb, Basem
Koble, Jeffery
Banfield, Jillian F.
Kennedy, Lauren C.
Greenwald, Hannah
Schroth, Gary
Author_xml – sequence: 1
  givenname: Alexander
  surname: Crits-Christoph
  fullname: Crits-Christoph, Alexander
  organization: Department of Plant and Microbial Biology, University of California, Berkeley, California, USA, Innovative Genomics Institute, Berkeley, California, USA
– sequence: 2
  givenname: Rose S.
  surname: Kantor
  fullname: Kantor, Rose S.
  organization: Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
– sequence: 3
  givenname: Matthew R.
  surname: Olm
  fullname: Olm, Matthew R.
  organization: Department of Microbiology and Immunology, Stanford University, Stanford, California, USA
– sequence: 4
  givenname: Oscar N.
  surname: Whitney
  fullname: Whitney, Oscar N.
  organization: Department of Molecular and Cell Biology, University of California, Berkeley, California, USA
– sequence: 5
  givenname: Basem
  surname: Al-Shayeb
  fullname: Al-Shayeb, Basem
  organization: Department of Plant and Microbial Biology, University of California, Berkeley, California, USA, Innovative Genomics Institute, Berkeley, California, USA
– sequence: 6
  givenname: Yue Clare
  surname: Lou
  fullname: Lou, Yue Clare
  organization: Department of Plant and Microbial Biology, University of California, Berkeley, California, USA, Innovative Genomics Institute, Berkeley, California, USA
– sequence: 7
  givenname: Avi
  surname: Flamholz
  fullname: Flamholz, Avi
  organization: Department of Molecular and Cell Biology, University of California, Berkeley, California, USA
– sequence: 8
  givenname: Lauren C.
  surname: Kennedy
  fullname: Kennedy, Lauren C.
  organization: Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
– sequence: 9
  givenname: Hannah
  surname: Greenwald
  fullname: Greenwald, Hannah
  organization: Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
– sequence: 10
  givenname: Adrian
  surname: Hinkle
  fullname: Hinkle, Adrian
  organization: Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
– sequence: 11
  givenname: Jonathan
  surname: Hetzel
  fullname: Hetzel, Jonathan
  organization: Illumina, San Diego, California, USA
– sequence: 12
  givenname: Sara
  surname: Spitzer
  fullname: Spitzer, Sara
  organization: Illumina, San Diego, California, USA
– sequence: 13
  givenname: Jeffery
  surname: Koble
  fullname: Koble, Jeffery
  organization: Illumina, San Diego, California, USA
– sequence: 14
  givenname: Asako
  surname: Tan
  fullname: Tan, Asako
  organization: Illumina, San Diego, California, USA
– sequence: 15
  givenname: Fred
  surname: Hyde
  fullname: Hyde, Fred
  organization: Illumina, Madison, Wisconsin, USA
– sequence: 16
  givenname: Gary
  surname: Schroth
  fullname: Schroth, Gary
  organization: Illumina, San Diego, California, USA
– sequence: 17
  givenname: Scott
  surname: Kuersten
  fullname: Kuersten, Scott
  organization: Illumina, Madison, Wisconsin, USA
– sequence: 18
  givenname: Jillian F.
  surname: Banfield
  fullname: Banfield, Jillian F.
  organization: Innovative Genomics Institute, Berkeley, California, USA, Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA, Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA, Chan Zuckerberg Biohub, San Francisco, California, USA
– sequence: 19
  givenname: Kara L.
  surname: Nelson
  fullname: Nelson, Kara L.
  organization: Innovative Genomics Institute, Berkeley, California, USA, Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33468686$$D View this record in MEDLINE/PubMed
BookMark eNp1kUtv1DAUhS1URB90yRZliZBS_IofG6QylFJpJFAHurUc5yZ4lNitnSnqv8fTaRFFYC_8OvfT8T2HaC_EAAi9IviEEKreTR98PMFUYlZT_AwdUNLgWjaE7G33gtSUUL2PjnNe4zIYI4rhF2ifMS5UmQdoeQ4hTlCt4GYDwfkwVLEvp592gOojzODmXF3C4GOw43hXfU1wa0cIc7U6vVzVi3hV0-rKJm_DnF-i570dMxw_rEfo-6ezb4vP9fLL-cXidFlbrtRcC0ctBUWIaEF3QBWTQNpeaYaFkk5QYEJKq3iDWykItbwT1IlOc8a15j07Qhc7bhft2lwnP9l0Z6L15v4ipsHYNHs3gml453otFaeu59y1lvUt7XrcgXQEa11Y73es6007QefK15Idn0CfvgT_wwzx1hRmI3hTAG8eACmWHubZTD47GEcbIG6yoVxqTpRoWJG-3UltnqhZx00qTc2GYLNN02zTNPdpGoqL-PWfxn47esyuCNhO4FLMOUFvnJ_tXJIqPv34X2z9V9Uj-N_6X6PruzE
CitedBy_id crossref_primary_10_1007_s00203_023_03579_9
crossref_primary_10_1038_s41598_023_44500_0
crossref_primary_10_1016_j_envres_2021_112496
crossref_primary_10_1038_s41587_022_01387_y
crossref_primary_10_1016_j_cell_2024_08_010
crossref_primary_10_1055_a_1298_1004
crossref_primary_10_1038_s41564_022_01185_x
crossref_primary_10_1016_j_scitotenv_2023_162572
crossref_primary_10_1016_j_watres_2021_118007
crossref_primary_10_1016_j_watres_2021_117710
crossref_primary_10_1016_S2214_109X_23_00129_8
crossref_primary_10_1016_j_jes_2022_08_020
crossref_primary_10_3390_v15051065
crossref_primary_10_1016_j_cell_2024_08_028
crossref_primary_10_1073_pnas_2119600119
crossref_primary_10_3201_eid2709_210753
crossref_primary_10_1016_j_wroa_2024_100224
crossref_primary_10_1039_D1EW00586C
crossref_primary_10_1016_j_scitotenv_2021_148834
crossref_primary_10_1016_j_scitotenv_2024_178089
crossref_primary_10_1038_s41598_023_29206_7
crossref_primary_10_3390_pathogens10081042
crossref_primary_10_1128_msystems_01068_21
crossref_primary_10_1038_s41579_021_00558_z
crossref_primary_10_1021_acsestwater_2c00013
crossref_primary_10_3390_ani14050732
crossref_primary_10_1128_spectrum_03385_22
crossref_primary_10_1021_acsestwater_2c00016
crossref_primary_10_3389_fpubh_2023_1145275
crossref_primary_10_1016_j_scitotenv_2021_149930
crossref_primary_10_1016_j_scitotenv_2022_155059
crossref_primary_10_1016_j_watres_2022_118621
crossref_primary_10_1021_acs_est_4c02638
crossref_primary_10_1128_AEM_01448_21
crossref_primary_10_3389_fmicb_2021_747458
crossref_primary_10_1371_journal_pone_0253578
crossref_primary_10_1016_j_chemosphere_2024_141162
crossref_primary_10_1016_j_watres_2021_117977
crossref_primary_10_1016_j_watres_2021_117613
crossref_primary_10_1016_j_scitotenv_2022_158931
crossref_primary_10_1021_acsestwater_1c00119
crossref_primary_10_3389_fpubh_2023_1137881
crossref_primary_10_1128_mSystems_00353_21
crossref_primary_10_1016_j_envres_2023_116040
crossref_primary_10_1128_cmr_00103_22
crossref_primary_10_7717_peerj_14596
crossref_primary_10_1111_1751_7915_13989
crossref_primary_10_1016_j_scitotenv_2022_158266
crossref_primary_10_1080_22221751_2023_2233638
crossref_primary_10_1186_s13059_022_02805_9
crossref_primary_10_1016_j_celrep_2023_113444
crossref_primary_10_1016_j_scitotenv_2024_174756
crossref_primary_10_1016_j_watres_2022_118686
crossref_primary_10_1016_j_watres_2023_120804
crossref_primary_10_1093_nargab_lqae145
crossref_primary_10_1016_j_scitotenv_2022_153250
crossref_primary_10_1038_s41592_022_01444_z
crossref_primary_10_2807_1560_7917_ES_2022_27_10_2100806
crossref_primary_10_1016_j_tine_2021_100151
crossref_primary_10_1371_journal_pone_0257689
crossref_primary_10_3201_eid2809_220938
crossref_primary_10_1289_EHP10289
crossref_primary_10_3390_microorganisms12102001
crossref_primary_10_1016_j_heliyon_2024_e35332
crossref_primary_10_1080_10643389_2023_2239129
crossref_primary_10_1016_j_trac_2021_116400
crossref_primary_10_3201_eid2805_212488
crossref_primary_10_1016_j_scitotenv_2024_170961
crossref_primary_10_1021_acs_est_1c05029
crossref_primary_10_2174_0929867329666220802093415
crossref_primary_10_1016_j_envres_2023_115612
crossref_primary_10_2166_wst_2023_359
crossref_primary_10_1021_acs_est_4c00580
crossref_primary_10_1128_spectrum_03050_22
crossref_primary_10_1186_s12859_022_05100_3
crossref_primary_10_1371_journal_pone_0257454
crossref_primary_10_1016_j_watres_2023_120372
crossref_primary_10_1016_j_scitotenv_2024_175823
crossref_primary_10_1016_j_watres_2022_118541
crossref_primary_10_3390_su142416761
crossref_primary_10_1128_MRA_00280_21
crossref_primary_10_1016_j_scitotenv_2021_148002
crossref_primary_10_1016_j_scitotenv_2022_155410
crossref_primary_10_1021_acsestwater_1c00160
crossref_primary_10_1021_acs_estlett_2c00266
crossref_primary_10_2166_wh_2022_115
crossref_primary_10_1016_j_watres_2021_117252
crossref_primary_10_1016_j_bspc_2022_103840
crossref_primary_10_1021_acs_jproteome_2c00325
crossref_primary_10_1038_s41467_024_48334_w
crossref_primary_10_3390_applmicrobiol4040100
crossref_primary_10_1016_j_scitotenv_2021_147829
crossref_primary_10_1016_j_scitotenv_2023_167128
crossref_primary_10_1016_j_scitotenv_2022_158577
crossref_primary_10_1038_s41467_023_41369_5
crossref_primary_10_1371_journal_ppat_1010636
crossref_primary_10_1038_s41467_023_43047_y
crossref_primary_10_2166_wh_2024_042
crossref_primary_10_1016_j_hazadv_2022_100221
crossref_primary_10_3390_app132413214
crossref_primary_10_1016_j_scitotenv_2022_155401
crossref_primary_10_1016_j_jhazmat_2021_127456
crossref_primary_10_3390_ijerph19148789
crossref_primary_10_1016_j_cscee_2022_100238
crossref_primary_10_1021_acs_est_1c08673
crossref_primary_10_1038_s41559_023_02056_2
crossref_primary_10_1016_j_wroa_2021_100100
crossref_primary_10_3389_fpubh_2024_1445961
crossref_primary_10_1016_j_scitotenv_2022_157370
crossref_primary_10_1038_s41586_022_05049_6
crossref_primary_10_1016_j_jviromet_2024_114956
crossref_primary_10_1016_j_scitotenv_2022_157375
crossref_primary_10_3390_v15122397
crossref_primary_10_1016_j_watres_2022_118535
crossref_primary_10_3389_fmicb_2022_889811
crossref_primary_10_1128_mra_00362_22
crossref_primary_10_1111_1751_7915_70020
crossref_primary_10_3390_pathogens10101271
crossref_primary_10_1016_j_scitotenv_2021_151038
crossref_primary_10_1128_spectrum_01102_22
crossref_primary_10_1128_mmbr_00212_22
crossref_primary_10_1016_j_pt_2021_08_007
crossref_primary_10_1186_s12915_024_01891_4
crossref_primary_10_1128_mbio_00591_22
crossref_primary_10_4414_SMW_2022_w30202
crossref_primary_10_1016_j_watres_2022_118809
crossref_primary_10_1021_acsestwater_2c00083
crossref_primary_10_3389_fpubh_2023_1249614
crossref_primary_10_1016_j_scitotenv_2023_167742
crossref_primary_10_1016_j_scitotenv_2022_157546
crossref_primary_10_3390_w14030297
crossref_primary_10_1021_acsestwater_1c00434
crossref_primary_10_1007_s12560_022_09531_2
crossref_primary_10_1371_journal_pone_0284211
crossref_primary_10_1016_j_scitotenv_2021_145842
crossref_primary_10_1016_j_crmeth_2022_100313
crossref_primary_10_1128_aem_00045_22
crossref_primary_10_1128_aem_01497_23
crossref_primary_10_1016_j_envpol_2022_119757
crossref_primary_10_1016_j_crmicr_2024_100240
crossref_primary_10_1016_j_scitotenv_2024_175649
crossref_primary_10_1016_j_snb_2023_133433
crossref_primary_10_1186_s40168_023_01477_2
crossref_primary_10_1016_j_scitotenv_2024_176833
crossref_primary_10_1371_journal_pone_0284483
crossref_primary_10_1021_acs_est_3c04529
crossref_primary_10_1002_imt2_39
crossref_primary_10_1021_acsestwater_2c00061
crossref_primary_10_1007_s12560_021_09498_6
crossref_primary_10_1038_s41598_022_06625_6
crossref_primary_10_1128_spectrum_00391_23
crossref_primary_10_1016_j_watres_2022_118904
crossref_primary_10_1016_j_watres_2022_119421
crossref_primary_10_1016_j_hazadv_2022_100140
crossref_primary_10_1177_09622802241309750
crossref_primary_10_1021_acsestwater_3c00183
crossref_primary_10_1016_j_watres_2021_117104
crossref_primary_10_1071_MA21006
crossref_primary_10_1289_EHP10050
crossref_primary_10_1016_j_watres_2024_121338
crossref_primary_10_2166_wst_2025_014
crossref_primary_10_1038_s41467_023_42064_1
crossref_primary_10_1093_femsmc_xtad006
crossref_primary_10_1016_j_scitotenv_2021_150264
crossref_primary_10_1186_s12879_024_08997_8
crossref_primary_10_1016_j_eehl_2025_100135
crossref_primary_10_1016_j_jwpe_2024_104911
crossref_primary_10_3390_pathogens11111249
crossref_primary_10_1016_j_watres_2022_118162
crossref_primary_10_1016_j_heliyon_2024_e30600
crossref_primary_10_3390_w15061018
crossref_primary_10_3390_v14091876
crossref_primary_10_3390_v17010103
crossref_primary_10_1016_j_scitotenv_2022_157740
crossref_primary_10_1007_s11356_021_16024_5
crossref_primary_10_1128_msystems_01415_23
crossref_primary_10_3390_ijms22168498
crossref_primary_10_1016_j_watres_2021_117400
crossref_primary_10_1186_s43042_022_00327_4
crossref_primary_10_1016_j_scitotenv_2022_155140
crossref_primary_10_1001_jamanetworkopen_2023_0550
crossref_primary_10_1016_j_hlife_2023_12_001
crossref_primary_10_3390_w13182503
crossref_primary_10_1021_acsestwater_2c00456
crossref_primary_10_1128_mbio_01468_23
crossref_primary_10_1099_mgen_0_001249
crossref_primary_10_1089_ees_2023_0142
crossref_primary_10_2139_ssrn_4124629
crossref_primary_10_3390_microorganisms11112660
crossref_primary_10_3389_fceng_2022_1112876
crossref_primary_10_1371_journal_ppat_1012415
crossref_primary_10_1128_aem_00583_23
crossref_primary_10_1016_j_lansea_2023_100151
crossref_primary_10_1016_j_watres_2022_118257
crossref_primary_10_1016_j_watres_2024_121463
crossref_primary_10_1007_s12038_021_00216_9
crossref_primary_10_1016_j_drugalcdep_2021_108680
crossref_primary_10_1016_j_scitotenv_2023_163706
crossref_primary_10_1016_j_scib_2022_04_006
crossref_primary_10_1016_j_scitotenv_2023_162862
crossref_primary_10_1371_journal_pone_0297172
crossref_primary_10_1016_j_scitotenv_2022_160024
crossref_primary_10_1039_D2AY01313D
crossref_primary_10_3201_eid2705_204410
crossref_primary_10_1038_s41467_022_28246_3
crossref_primary_10_3390_microorganisms10081671
crossref_primary_10_3390_ijerph19095128
Cites_doi 10.1128/mBio.00180-11
10.1186/1743-422X-10-46
10.1016/j.scitotenv.2017.08.249
10.1128/JCM.01062-09
10.1101/2020.05.19.20105999
10.1038/s41545-018-0019-5
10.1002/gch2.1018
10.1016/j.scitotenv.2020.136604
10.1007/s12560-016-9251-7
10.1038/nmeth.1923
10.1021/acs.estlett.0c00357
10.1126/science.abc0523
10.1038/s41586-020-2196-x
10.1016/j.envint.2020.105962
10.1021/acs.est.0c02388
10.1101/2020.01.22.915579
10.1093/bioinformatics/btv098
10.1016/j.watres.2020.116296
10.1101/2020.06.15.20117747
10.1126/science.abc1917
10.1038/s41592-019-0686-2
10.1021/es305181x
10.15585/mmwr.mm6922e1
10.1093/cid/ciaa1234
10.1016/j.scitotenv.2020.138764
10.1126/science.abb9263
10.1128/JVI.00869-12
10.21203/rs.3.rs-40452/v1
10.1101/2020.08.25.265074
10.1101/2020.03.25.20043828
10.1128/mSystems.00614-20
10.1101/2020.08.13.20174136
10.1101/2020.07.02.20144865
10.1016/S1473-3099(20)30120-1
10.1016/j.jviromet.2005.08.010
10.1016/j.xcrm.2020.100098
ContentType Journal Article
Copyright Copyright © 2021 Crits-Christoph et al.
Copyright © 2021 Crits-Christoph et al. 2021 Crits-Christoph et al.
Copyright_xml – notice: Copyright © 2021 Crits-Christoph et al.
– notice: Copyright © 2021 Crits-Christoph et al. 2021 Crits-Christoph et al.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOA
DOI 10.1128/mBio.02703-20
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList CrossRef
MEDLINE - Academic


MEDLINE

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 2150-7511
Editor Pettigrew, Melinda M
Editor_xml – sequence: 1
  givenname: Melinda M
  surname: Pettigrew
  fullname: Pettigrew, Melinda M
ExternalDocumentID oai_doaj_org_article_54dcf97842cf44cba3fb2df0de7c1099
PMC7845645
mBio02703-20
33468686
10_1128_mBio_02703_20
Genre Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations California
GeographicLocations_xml – name: California
GrantInformation_xml – fundername: Center for Information Technology Research in the Interest of Society (CITRIS)
  funderid: https://doi.org/10.13039/100008652
– fundername: Innovative Genomics Institute (IGI)
  funderid: https://doi.org/10.13039/100014220
– fundername: ;
GroupedDBID ---
0R~
53G
5VS
AAFWJ
AAGFI
AAUOK
AAYXX
ADBBV
AENEX
AFPKN
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BCNDV
BTFSW
CITATION
DIK
E3Z
EBS
FRP
GROUPED_DOAJ
GX1
H13
HYE
HZ~
KQ8
M48
O5R
O5S
O9-
OK1
P2P
PGMZT
RHI
RNS
RPM
RSF
CGR
CUY
CVF
ECM
EIF
M~E
NPM
RHF
-
0R
ADACO
BXI
HZ
7X8
5PM
ID FETCH-LOGICAL-a488t-6c2a2e8116be9de2837e1bf8930687c62e3677a8450b7612a4d62c6d9434994f3
IEDL.DBID M48
ISSN 2161-2129
2150-7511
IngestDate Wed Aug 27 01:27:12 EDT 2025
Thu Aug 21 17:29:51 EDT 2025
Thu Jul 10 18:57:43 EDT 2025
Tue Dec 28 13:58:56 EST 2021
Wed Feb 19 02:29:07 EST 2025
Thu Apr 24 22:51:51 EDT 2025
Tue Jul 01 01:52:46 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords coronavirus
genomics
environmental microbiology
metagenomics
Language English
License Copyright © 2021 Crits-Christoph et al.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license. https://creativecommons.org/licenses/by/4.0
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a488t-6c2a2e8116be9de2837e1bf8930687c62e3677a8450b7612a4d62c6d9434994f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Present address: Avi Flamholz, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
OpenAccessLink https://doaj.org/article/54dcf97842cf44cba3fb2df0de7c1099
PMID 33468686
PQID 2479418653
PQPubID 23479
PageCount 9
ParticipantIDs doaj_primary_oai_doaj_org_article_54dcf97842cf44cba3fb2df0de7c1099
pubmedcentral_primary_oai_pubmedcentral_nih_gov_7845645
proquest_miscellaneous_2479418653
asm2_journals_10_1128_mBio_02703_20
pubmed_primary_33468686
crossref_citationtrail_10_1128_mBio_02703_20
crossref_primary_10_1128_mBio_02703_20
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20210119
PublicationDateYYYYMMDD 2021-01-19
PublicationDate_xml – month: 1
  year: 2021
  text: 20210119
  day: 19
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: 1752 N St., N.W., Washington, DC
PublicationTitle mBio
PublicationTitleAbbrev mBio
PublicationTitleAlternate mBio
PublicationYear 2021
Publisher American Society for Microbiology
Publisher_xml – name: American Society for Microbiology
References e_1_3_2_26_2
e_1_3_2_27_2
e_1_3_2_28_2
e_1_3_2_29_2
e_1_3_2_20_2
e_1_3_2_21_2
e_1_3_2_22_2
e_1_3_2_23_2
e_1_3_2_24_2
Centers for Disease Control and Prevention (e_1_3_2_35_2) 2020
e_1_3_2_25_2
e_1_3_2_9_2
e_1_3_2_15_2
e_1_3_2_38_2
e_1_3_2_8_2
e_1_3_2_16_2
e_1_3_2_37_2
e_1_3_2_7_2
e_1_3_2_17_2
e_1_3_2_6_2
e_1_3_2_18_2
e_1_3_2_19_2
e_1_3_2_30_2
e_1_3_2_32_2
e_1_3_2_10_2
e_1_3_2_31_2
e_1_3_2_5_2
e_1_3_2_11_2
e_1_3_2_34_2
e_1_3_2_4_2
e_1_3_2_12_2
e_1_3_2_33_2
e_1_3_2_3_2
e_1_3_2_13_2
e_1_3_2_36_2
e_1_3_2_2_2
e_1_3_2_14_2
Deng, X, Gu, W, Federman, S, Du Plessis, L, Pybus, OG, Faria, NR, Wang, C, Yu, G, Bushnell, B, Pan, C-Y, Guevara, H, Sotomayor-Gonzalez, A, Zorn, K, Gopez, A, Servellita, V, Hsu, E, Miller, S, Bedford, T, Greninger, AL, Roychoudhury, P, Starita, LM, Famulare, M, Chu, HY, Shendure, J, Jerome, KR, Anderson, C, Gangavarapu, K, Zeller, M, Spencer, E, Andersen, KG, MacCannell, D, Paden, CR, Li, Y, Zhang, J, Tong, S, Armstrong, G, Morrow, S, Willis, M, Matyas, BT, Mase, S, Kasirye, O, Park, M, Masinde, G, Chan, C, Yu, AT, Chai, SJ, Villarino, E, Bonin, B, Wadford, DA, Chiu, CY (B5) 2020; 369
Gonzalez-Reiche, AS, Hernandez, MM, Sullivan, MJ, Ciferri, B, Alshammary, H, Obla, A, Fabre, S, Kleiner, G, Polanco, J, Khan, Z, Alburquerque, B, van de Guchte, A, Dutta, J, Francoeur, N, Melo, BS, Oussenko, I, Deikus, G, Soto, J, Sridhar, SH, Wang, Y-C, Twyman, K, Kasarskis, A, Altman, DR, Smith, M, Sebra, R, Aberg, J, Krammer, F, García-Sastre, A, Luksza, M, Patel, G, Paniz-Mondolfi, A, Gitman, M, Sordillo, EM, Simon, V, van Bakel, H (B7) 2020; 369
(B34) 2020
Tarasov, A, Vilella, AJ, Cuppen, E, Nijman, IJ, Prins, P (B36) 2015; 31
Bedford, T, Greninger, AL, Roychoudhury, P, Starita, LM, Famulare, M, Huang, M-L, Nalla, A, Pepper, G, Reinhardt, A, Xie, H, Shrestha, L, Nguyen, TN, Adler, A, Brandstetter, E, Cho, S, Giroux, D, Han, PD, Fay, K, Frazar, CD, Ilcisin, M, Lacombe, K, Lee, J, Kiavand, A, Richardson, M, Sibley, TR, Truong, M, Wolf, CR, Nickerson, DA, Rieder, MJ, Englund, JA, Hadfield, J, Hodcroft, EB, Huddleston, J, Moncla, LH, Müller, NF, Neher, RA, Deng, X, Gu, W, Federman, S, Chiu, C, Duchin, JS, Gautom, R, Melly, G, Hiatt, B, Dykema, P, Lindquist, S, Queen, K, Tao, Y, Uehara, A, Tong, S (B6) 2020; 370
Nemudryi, A, Nemudraia, A, Wiegand, T, Surya, K, Buyukyoruk, M, Cicha, C, Vanderwood, KK, Wilkinson, R, Wiedenheft, B (B27) 2020; 1
Ng, TFF, Marine, R, Wang, C, Simmonds, P, Kapusinszky, B, Bodhidatta, L, Oderinde, BS, Wommack, KE, Delwart, E (B26) 2012; 86
Weidhaas, J, Aanderud, Z, Roper, D, VanDerslice, J, Gaddis, E, Ostermiller, J (B20) 2020
Fauver, JR, Petrone, ME, Hodcroft, EB, Shioda, K, Ehrlich, HY, Watts, AG (B4) 2020
Chamie, G, Marquez, C, Crawford, E, Peng, J, Petersen, M, Schwab, D, Schwab, J, Martinez, J, Jones, D, Black, D, Gandhi, M, Kerkhoff, AD, Jain, V, Sergi, F, Jacobo, J, Rojas, S, Tulier-Laiwa, V, Gallardo-Brown, T, Appa, A, Chiu, C, Rodgers, M, Hackett, J, Kistler, A, Hao, S, Kamm, J, Dynerman, D, Batson, J, Greenhouse, B, DeRisi, J, Havlir, DV (B8) 2020
Bibby, K, Peccia, J (B12) 2013; 47
Olm, MR, Crits-Christoph, A, Bouma-Gregson, K, Firek, B, Morowitz, MJ, Banfield, JF (B32)
Iaconelli, M, Divizia, M, Della Libera, S, Di Bonito, P, La Rosa, G (B28) 2016; 8
Vanaerschot, M, Mann, SA, Webber, JT, Kamm, J, Bell, SM, Bell, J (B33) 2020
Langmead, B, Salzberg, SL (B35) 2012; 9
Wu, F, Zhang, J, Xiao, A, Gu, X, Lee, WL, Armas, F, Kauffman, K, Hanage, W, Matus, M, Ghaeli, N, Endo, N, Duvallet, C, Poyet, M, Moniz, K, Washburne, AD, Erickson, TB, Chai, PR, Thompson, J, Alm, EJ (B16) 2020; 5
Vallejo, JA, Rumbo-Feal, S, Conde-Perez, K, Lopez-Oriona, A, Tarrio, J, Reif, R (B21)
Dong, E, Du, H, Gardner, L (B2) 2020; 20
Elbe, S, Buckland-Merrett, G (B3) 2017; 1
Medema, G, Heijnen, L, Elsinga, G, Italiaander, R, Brouwer, A (B14) 2020; 7
Jevšnik, M, Steyer, A, Zrim, T, Pokorn, M, Mrvič, T, Grosek, Š, Strle, F, Lusa, L, Petrovec, M (B10) 2013; 10
Thielen, PM, Wohl, S, Mehoke, T, Ramakrishnan, S, Kirsche, M, Falade-Nwulia, O (B31) 2020
Amoah, ID, Kumari, S, Bux, F (B11) 2020; 143
Virtanen, P, Gommers, R, Oliphant, TE, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, Peterson, P, Weckesser, W, Bright, J, van der Walt, SJ, Brett, M, Wilson, J, Millman, KJ, Mayorov, N, Nelson, ARJ, Jones, E, Kern, R, Larson, E, Carey, CJ, Polat, İ, Feng, Y, Moore, EW, VanderPlas, J, Laxalde, D, Perktold, J, Cimrman, R, Henriksen, I, Quintero, EA, Harris, CR, Archibald, AM, Ribeiro, AH, Pedregosa, F, van Mulbregt, P (B37) 2020; 17
Blinkova, O, Rosario, K, Li, L, Kapoor, A, Slikas, B, Bernardin, F, Breitbart, M, Delwart, E (B29) 2009; 47
Martínez-Puchol, S, Rusiñol, M, Fernández-Cassi, X, Timoneda, N, Itarte, M, Andrés, C, Antón, A, Abril, JF, Girones, R, Bofill-Mas, S (B24) 2020; 713
Kitajima, M, Sassi, HP, Torrey, JR (B30) 2018; 1
Ahmed, W, Angel, N, Edson, J, Bibby, K, Bivins, A, O’Brien, JW, Choi, PM, Kitajima, M, Simpson, SL, Li, J, Tscharke, B, Verhagen, R, Smith, WJM, Zaugg, J, Dierens, L, Hugenholtz, P, Thomas, KV, Mueller, JF (B15) 2020; 728
Peccia, J, Zulli, A, Brackney, DE, Grubaugh, ND, Kaplan, EH, Casanovas-Massana, A (B22)
Jorden, MA, Rudman, SL, Villarino, E, Hoferka, S, Patel, MT, Bemis, K, Simmons, CR, Jespersen, M, Iberg Johnson, J, Mytty, E, Arends, KD, Henderson, JJ, Mathes, RW, Weng, CX, Duchin, J, Lenahan, J, Close, N, Bedford, T, Boeckh, M, Chu, HY, Englund, JA, Famulare, M, Nickerson, DA, Rieder, MJ, Shendure, J, Starita, LM (B1) 2020; 69
Cantalupo, PG, Calgua, B, Zhao, G, Hundesa, A, Wier, AD, Katz, JP, Grabe, M, Hendrix, RW, Girones, R, Wang, D, Pipas, JM (B25) 2011; 2
Wölfel, R, Corman, VM, Guggemos, W, Seilmaier, M, Zange, S, Müller, MA, Niemeyer, D, Jones, TC, Vollmar, P, Rothe, C, Hoelscher, M, Bleicker, T, Brünink, S, Schneider, J, Ehmann, R, Zwirglmaier, K, Drosten, C, Wendtner, C (B9) 2020; 581
Wang, X-W, Li, J-S, Guo, T-K, Zhen, B, Kong, Q-X, Yi, B, Li, Z, Song, N, Jin, M, Xiao, W-J, Zhu, X-M, Gu, C-Q, Yin, J, Wei, W, Yao, W, Liu, C, Li, J-F, Ou, G-R, Wang, M-N, Fang, T-Y, Wang, G-J, Qiu, Y-H, Wu, H-H, Chao, F-H, Li, J-W (B13) 2005; 130
Bivins, A, North, D, Ahmad, A, Ahmed, W, Alm, E, Been, F, Bhattacharya, P, Bijlsma, L, Boehm, AB, Brown, J, Buttiglieri, G, Calabro, V, Carducci, A, Castiglioni, S, Cetecioglu Gurol, Z, Chakraborty, S, Costa, F, Curcio, S, de Los Reyes, FL, Delgado Vela, J, Farkas, K, Fernandez-Casi, X, Gerba, C, Gerrity, D, Girones, R, Gonzalez, R, Haramoto, E, Harris, A, Holden, PA, Islam, MT, Jones, DL, Kasprzyk-Hordern, B, Kitajima, M, Kotlarz, N, Kumar, M, Kuroda, K, La Rosa, G, Malpei, F, Mautus, M, McLellan, SL, Medema, G, Meschke, JS, Mueller, J, Newton, RJ, Nilsson, D, Noble, RT, van Nuijs, A, Peccia, J, Perkins, TA, Pickering, AJ (B18) 2020; 54
Gonzalez, R, Curtis, K, Bivins, A, Bibby, K, Weir, MH, Yetka, K, Thompson, H, Keeling, D, Mitchell, J, Gonzalez, D (B17) 2020; 186
Fernandez-Cassi, X, Timoneda, N, Martínez-Puchol, S, Rusiñol, M, Rodriguez-Manzano, J, Figuerola, N, Bofill-Mas, S, Abril, JF, Girones, R (B23) 2018; 618
Wu, F, Xiao, A, Zhang, J, Moniz, K, Endo, N, Armas, F (B19) 2020
References_xml – ident: e_1_3_2_26_2
  doi: 10.1128/mBio.00180-11
– ident: e_1_3_2_11_2
  doi: 10.1186/1743-422X-10-46
– ident: e_1_3_2_24_2
  doi: 10.1016/j.scitotenv.2017.08.249
– ident: e_1_3_2_30_2
  doi: 10.1128/JCM.01062-09
– ident: e_1_3_2_23_2
  doi: 10.1101/2020.05.19.20105999
– ident: e_1_3_2_31_2
  doi: 10.1038/s41545-018-0019-5
– ident: e_1_3_2_4_2
  doi: 10.1002/gch2.1018
– ident: e_1_3_2_25_2
  doi: 10.1016/j.scitotenv.2020.136604
– ident: e_1_3_2_29_2
  doi: 10.1007/s12560-016-9251-7
– ident: e_1_3_2_36_2
  doi: 10.1038/nmeth.1923
– ident: e_1_3_2_15_2
  doi: 10.1021/acs.estlett.0c00357
– ident: e_1_3_2_7_2
  doi: 10.1126/science.abc0523
– ident: e_1_3_2_10_2
  doi: 10.1038/s41586-020-2196-x
– ident: e_1_3_2_12_2
  doi: 10.1016/j.envint.2020.105962
– ident: e_1_3_2_19_2
  doi: 10.1021/acs.est.0c02388
– ident: e_1_3_2_33_2
  doi: 10.1101/2020.01.22.915579
– ident: e_1_3_2_37_2
  doi: 10.1093/bioinformatics/btv098
– ident: e_1_3_2_18_2
  doi: 10.1016/j.watres.2020.116296
– ident: e_1_3_2_20_2
  doi: 10.1101/2020.06.15.20117747
– ident: e_1_3_2_8_2
  doi: 10.1126/science.abc1917
– ident: e_1_3_2_38_2
  doi: 10.1038/s41592-019-0686-2
– ident: e_1_3_2_13_2
  doi: 10.1021/es305181x
– volume-title: Research use only-2019: novel coronavirus (2019-nCoV) real-time RT-PCR primers and probes
  year: 2020
  ident: e_1_3_2_35_2
– ident: e_1_3_2_2_2
  doi: 10.15585/mmwr.mm6922e1
– ident: e_1_3_2_9_2
  doi: 10.1093/cid/ciaa1234
– ident: e_1_3_2_16_2
  doi: 10.1016/j.scitotenv.2020.138764
– ident: e_1_3_2_6_2
  doi: 10.1126/science.abb9263
– ident: e_1_3_2_27_2
  doi: 10.1128/JVI.00869-12
– ident: e_1_3_2_21_2
  doi: 10.21203/rs.3.rs-40452/v1
– ident: e_1_3_2_34_2
  doi: 10.1101/2020.08.25.265074
– ident: e_1_3_2_5_2
  doi: 10.1101/2020.03.25.20043828
– ident: e_1_3_2_17_2
  doi: 10.1128/mSystems.00614-20
– ident: e_1_3_2_32_2
  doi: 10.1101/2020.08.13.20174136
– ident: e_1_3_2_22_2
  doi: 10.1101/2020.07.02.20144865
– ident: e_1_3_2_3_2
  doi: 10.1016/S1473-3099(20)30120-1
– ident: e_1_3_2_14_2
  doi: 10.1016/j.jviromet.2005.08.010
– ident: e_1_3_2_28_2
  doi: 10.1016/j.xcrm.2020.100098
– volume: 17
  start-page: 261
  year: 2020
  end-page: 272
  ident: B37
  article-title: SciPy 1.0: fundamental algorithms for scientific computing in Python
  publication-title: Nat Methods
  doi: 10.1038/s41592-019-0686-2
– volume: 713
  start-page: 136604
  year: 2020
  ident: B24
  article-title: Characterization of the sewage virome: comparison of NGS tools and occurrence of significant pathogens
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2020.136604
– volume: 86
  start-page: 12161
  year: 2012
  end-page: 12175
  ident: B26
  article-title: High variety of known and new RNA and DNA viruses of diverse origins in untreated sewage
  publication-title: J Virol
  doi: 10.1128/JVI.00869-12
– ident: B21
  article-title: Highly predictive regression model of active cases of COVID-19 in a population by screening wastewater viral load
  publication-title: medRxiv
  doi: 10.1101/2020.07.02.20144865
– ident: B22
  article-title: SARS-CoV-2 RNA concentrations in primary municipal sewage sludge as a leading indicator of COVID-19 outbreak dynamics
  publication-title: medRxiv
  doi: 10.1101/2020.05.19.20105999
– volume: 1
  start-page: 1
  year: 2018
  end-page: 9
  ident: B30
  article-title: Pepper mild mottle virus as a water quality indicator
  publication-title: NPJ Clean Water
  doi: 10.1038/s41545-018-0019-5
– year: 2020
  ident: B4
  article-title: Coast-to-coast spread of SARS-CoV-2 in the United States revealed by genomic epidemiology
  publication-title: medRxiv
  doi: 10.1101/2020.03.25.20043828
– ident: B32
  article-title: InStrain enables population genomic analysis from metagenomic data and rigorous detection of identical microbial strains
  publication-title: medRxiv
  doi: 10.1101/2020.01.22.915579
– volume: 370
  start-page: 571
  year: 2020
  end-page: 575
  ident: B6
  article-title: Cryptic transmission of SARS-CoV-2 in Washington State
  publication-title: Science
  doi: 10.1126/science.abc0523
– volume: 20
  start-page: 533
  year: 2020
  end-page: 534
  ident: B2
  article-title: An interactive web-based dashboard to track COVID-19 in real time
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(20)30120-1
– volume: 2
  year: 2011
  ident: B25
  article-title: Raw sewage harbors diverse viral populations
  publication-title: mBio
  doi: 10.1128/mBio.00180-11
– volume: 618
  start-page: 870
  year: 2018
  end-page: 880
  ident: B23
  article-title: Metagenomics for the study of viruses in urban sewage as a tool for public health surveillance
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2017.08.249
– volume: 728
  start-page: 138764
  year: 2020
  ident: B15
  article-title: First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: a proof of concept for the wastewater surveillance of COVID-19 in the community
  publication-title: Sci Total Environ
  doi: 10.1016/j.scitotenv.2020.138764
– volume: 5
  year: 2020
  ident: B16
  article-title: SARS-CoV-2 titers in wastewater are higher than expected from clinically confirmed cases
  publication-title: mSystems
  doi: 10.1128/mSystems.00614-20
– year: 2020
  ident: B20
  article-title: Correlation of SARS-CoV-2 RNA in wastewater with COVID-19 disease burden in sewersheds
  publication-title: Res Square
  doi: 10.21203/rs.3.rs-40452/v1
– volume: 47
  start-page: 3507
  year: 2009
  end-page: 3513
  ident: B29
  article-title: Frequent detection of highly diverse variants of cardiovirus, cosavirus, bocavirus, and circovirus in sewage samples collected in the United States
  publication-title: J Clin Microbiol
  doi: 10.1128/JCM.01062-09
– volume: 10
  start-page: 46
  year: 2013
  ident: B10
  article-title: Detection of human coronaviruses in simultaneously collected stool samples and nasopharyngeal swabs from hospitalized children with acute gastroenteritis
  publication-title: Virol J
  doi: 10.1186/1743-422X-10-46
– volume: 31
  start-page: 2032
  year: 2015
  end-page: 2034
  ident: B36
  article-title: Sambamba: fast processing of NGS alignment formats
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btv098
– volume: 47
  start-page: 1945
  year: 2013
  end-page: 1951
  ident: B12
  article-title: Identification of viral pathogen diversity in sewage sludge by metagenome analysis
  publication-title: Environ Sci Technol
  doi: 10.1021/es305181x
– volume: 130
  start-page: 165
  year: 2005
  ident: B13
  article-title: Concentration and detection of SARS coronavirus in sewage from Xiao Tang Shan Hospital and the 309th Hospital
  publication-title: J Virol Methods
  doi: 10.1016/j.jviromet.2005.08.010
– volume: 186
  start-page: 116296
  year: 2020
  ident: B17
  article-title: COVID-19 surveillance in southeastern Virginia using wastewater-based epidemiology
  publication-title: Water Res
  doi: 10.1016/j.watres.2020.116296
– year: 2020
  ident: B31
  article-title: Genomic Diversity of SARS-CoV-2 During Early Introduction into the United States National Capital Region
  publication-title: medRxiv
  doi: 10.1101/2020.08.13.20174136
– volume: 1
  start-page: 33
  year: 2017
  end-page: 46
  ident: B3
  article-title: Data, disease and diplomacy: GISAID’s innovative contribution to global health
  publication-title: Glob Chall
  doi: 10.1002/gch2.1018
– year: 2020
  ident: B8
  article-title: SARS-CoV-2 community transmission disproportionately affects Latinx population during shelter-in-place in San Francisco
  publication-title: Clin Infect Dis
  doi: 10.1093/cid/ciaa1234
– year: 2020
  ident: B19
  article-title: SARS-CoV-2 titers in wastewater foreshadow dynamics and clinical presentation of new COVID-19 cases
  publication-title: medRxiv
  doi: 10.1101/2020.06.15.20117747
– volume: 369
  start-page: 297
  year: 2020
  end-page: 301
  ident: B7
  article-title: Introductions and early spread of SARS-CoV-2 in the New York City area
  publication-title: Science
  doi: 10.1126/science.abc1917
– volume: 143
  start-page: 105962
  year: 2020
  ident: B11
  article-title: Coronaviruses in wastewater processes: source, fate and potential risks
  publication-title: Environ Int
  doi: 10.1016/j.envint.2020.105962
– year: 2020
  ident: B33
  article-title: Identification of a polymorphism in the N gene of SARS-CoV-2 that adversely impacts detection by a widely-used RT-PCR assay
  publication-title: medRxiv
  doi: 10.1101/2020.08.25.265074
– year: 2020
  ident: B34
  publication-title: Research use only-2019: novel coronavirus (2019-nCoV) real-time RT-PCR primers and probes ;Reviewed 20 May 2020 ;Centers for Disease Control and Prevention ;Atlanta, GA
– volume: 1
  start-page: 100098
  year: 2020
  ident: B27
  article-title: Temporal detection and phylogenetic assessment of SARS-CoV-2 in municipal wastewater
  publication-title: Cell Rep Med
  doi: 10.1016/j.xcrm.2020.100098
– volume: 9
  start-page: 357
  year: 2012
  end-page: 359
  ident: B35
  article-title: Fast gapped-read alignment with Bowtie 2
  publication-title: Nat Methods
  doi: 10.1038/nmeth.1923
– volume: 7
  start-page: 511
  year: 2020
  end-page: 516
  ident: B14
  article-title: Presence of SARS-coronavirus-2 RNA in sewage and correlation with reported COVID-19 prevalence in the early stage of the epidemic in The Netherlands
  publication-title: Environ Sci Technol Lett
  doi: 10.1021/acs.estlett.0c00357
– volume: 69
  start-page: 680
  year: 2020
  end-page: 684
  ident: B1
  article-title: Evidence for Limited Early Spread of COVID-19 Within the United States, January–February 2020
  publication-title: MMWR Morb Mortal Wkly Rep
  doi: 10.15585/mmwr.mm6922e1
– volume: 369
  start-page: 582
  year: 2020
  end-page: 587
  ident: B5
  article-title: Genomic surveillance reveals multiple introductions of SARS-CoV-2 into northern California
  publication-title: Science
  doi: 10.1126/science.abb9263
– volume: 581
  start-page: 465
  year: 2020
  end-page: 469
  ident: B9
  article-title: Virological assessment of hospitalized patients with COVID-2019
  publication-title: Nature
  doi: 10.1038/s41586-020-2196-x
– volume: 8
  start-page: 289
  year: 2016
  end-page: 295
  ident: B28
  article-title: Frequent detection and genetic diversity of human bocavirus in urban sewage samples
  publication-title: Food Environ Virol
  doi: 10.1007/s12560-016-9251-7
– volume: 54
  start-page: 7754
  year: 2020
  end-page: 7757
  ident: B18
  article-title: Wastewater-based epidemiology: global collaborative to maximize contributions in the fight against COVID-19
  publication-title: Environ Sci Technol
  doi: 10.1021/acs.est.0c02388
SSID ssj0000331830
Score 2.6528149
Snippet Viral genome sequencing has guided our understanding of the spread and extent of genetic diversity of SARS-CoV-2 during the COVID-19 pandemic. SARS-CoV-2 viral...
SourceID doaj
pubmedcentral
proquest
asm2
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
SubjectTerms Base Sequence
California - epidemiology
Clinical Science and Epidemiology
COVID-19 - epidemiology
COVID-19 - virology
Environmental Microbiology
Genome, Viral
Genotype
Humans
Metagenome
Metagenomics
Polymorphism, Single Nucleotide
Real-Time Polymerase Chain Reaction
Research Article
RNA, Viral - genetics
SARS-CoV-2 - genetics
SARS-CoV-2 - isolation & purification
Sewage - virology
Transcriptome
SummonAdditionalLinks – databaseName: American Society for Microbiology Open Access
  dbid: AAUOK
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9QwDLfGTUi8IL7pGFMRiCcymjRNm8fbxpj4lHbctLeo-ShM2rUTdxPafz-7X-ImJqE-tbXS1HZiO3Z-AXhToElRlmuGoYZlskIfznLhmcu5z6SjqkXanPz1mzqay0-n2ekGiGEvTM_B5W65XLSJ_HFki-L9Yu-s2cU4KklRuHdgMxNaJhPYnE7n3z-PKytJSnpKiysC3RmGc7MewDVvtoHzMH5HrNmkFrr_X_7mzbLJv-zQ4QO43zuQ8bST-EPYCPUjuNsdKXn1GL58DHWzCPGsK5FGwxQ3Fd79wXkjPgiUMljGx-FnuwJ4fhUThFNJlieeTY9nbL85YSI-wQCa6mOewPzww4_9I9afmMBKHIgrppwoRUD-Kxu0D4RsE7it0CdJVJE7JUKq8rwsZJbYHH2bUnolnPIEEqe1rNKnMKmbOjyHOHBKSQpvC19Jza212GAqM-1Rul75CF4T68wgMNNGE6IwxGDTMtiIJIJ3A2eN60HH6eyL89vI347kFx3axm2EeySmkYhAstsHqDKmH3Mmk95Vmv7CVVI6W6aVFb5KfMgdJQQjeDUI2eCgokxJWYfmcmkE4e7zQmVpBM86oY-fSlOpCrwiyNfUYa0v62_qs18tcDd2hcB7tv6LdS_gnqD6mYQzrrdhsvp9GV6iA7SyO73GXwPAuf2m
  priority: 102
  providerName: American Society for Microbiology
– databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT9xADB6hlSpxQX3QkragqVr1xEDmkUly3IVShAoHtiBuo8yLIrFJ1V1U8e-xk-xqFxVxqXJKYiWW7RnbsfOZkC8FuBRteckg1bBMRYjhLBeeuZz7TDnsWsSfk0_P9PGFOrnKrpZGfWFPWAcP3AluP1PeRUh1lHBRKWcrGa3wMfUhd1jVwd0XfN5SMtXuwRJtFT-wCAhpGOzP5RxgUxT7k9FNswf5WCoZzvkeVNOJWPFLLXz_v2LOx62TS77o6CXZ6INIOuyYf0XWQv2avOjGSt6_IT--h7qZBDru2qTBOdEmwtlf2DvoYcCywZSeh-v2K-DtPUUYpwq9Dx0Pz8fsoLlkgl5CEo09Mpvk4ujbz4Nj1k9NYBUsxhnTTlQigA60DaUPiG4TuI0Ql6S6yJ0WQeo8rwqVpTaH-KZSXgunPQLFlaWK8i0Z1E0dtggNHMuSwtvCR1Vyay08UKqs9KBhr31CPqPoTG_2U9NmFKIwKGDTCtiINCG7c8ka1wOP4_yL26fIvy7If3eIG08RjlBNCyIEym4vgPmY3nzMc-aTkE9zJRtYWFgtqerQ3E2NQOx9XuhMJuRdp_TFq6RUuoAjIfmKOazwsnqnvvnVgncDKwjg8_5_MP-BrAtssUk54-VHMpj9uQvbECPN7E67HB4AeVsLZQ
  priority: 102
  providerName: Directory of Open Access Journals
Title Genome Sequencing of Sewage Detects Regionally Prevalent SARS-CoV-2 Variants
URI https://www.ncbi.nlm.nih.gov/pubmed/33468686
https://journals.asm.org/doi/10.1128/mBio.02703-20
https://www.proquest.com/docview/2479418653
https://pubmed.ncbi.nlm.nih.gov/PMC7845645
https://doaj.org/article/54dcf97842cf44cba3fb2df0de7c1099
Volume 12
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV3db9MwED9BJ9Be0PjONqogEE9kJI7jJA8IdYMxAQNppdPerPhrTGqT0XYa_e-5y0eh0_qY5OI49-G7s88_A7zO0KUIFeUBphoq4A5jOBUxE-g0MgnXVLVIm5OPv4ujEf9ylpz9gxRqGTi7NbWj86RG0_Hen9-LD2jw75sNMNm7yf5FtYfpVRijzO_CBjqllGz0uI3060E5JuUNO5TNm29twv045iITtKe6V8wmbMVP1XD-t8WgN0sp__NNh1vwoA0q_UGjBQ_hji0fwb3mmMnFY_j22ZbVxPrDpmwanZVfOby6xrHE_2hpGWHmn9jzelZwvPAJ1qkgb-QPByfD4KA6DZh_ikk11cw8gdHhp58HR0F7ikJQoHHOA6FZwSzKRCibG0toNzZSDuOUUGSpFszGIk2LjCehSjHeKbgRTAtDwHF5zl38FHplVdrn4NuIlimZUZlxPI-UUthgzJPcoMSNMB68ItbJToqyzjBYJonXsua1ZKEHbzvOSt0CkdN5GON15G-W5JcNAsc6wn0S05KIgLPrG9X0XLZ2KBNutMvpL7TjXKsidooZFxqbalok9OBlJ2SJhkarJ0Vpq6uZZITFH2UiiT141gh9-alOdzxIV9RhpS-rT8qLXzWYN3aFAH2217a5A5uM6mjCKIjyXejNp1f2BQZCc9WHjcFg9ONrv55I6NcK_xePFQTb
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3db9QwDLfGJgQvaHwXNggC8US2Nk3T9vE2GAe7DWm3m_YWNR-FobsW0ZvQ_vvZbe_ETUxCfWobpantxHbs_AzwLkOVokyUc3Q1DJcl2nAmEo7bNHKJtJS1SIeTj47VcCK_nifna6AWZ2F-Ul3eabNTNLM2jk8Tmzai-3qE2e5s76LeQV8qjJHBd2CD4oYo2RuDweTb4XJ3JYxJVmmDRaBJw3F9zhcAmzf7wLUYPyZW9FIL3_8vm_Nm6uRfuuhgEx70RiQbdFx_CGu-egR3u7KSV49h9NlX9cyzcZcmjcqJ1SXe_cG1g330FDZo2In_3u4CTq8YwTgVpH3YeHAy5vv1GRfsDJ1oypF5ApODT6f7Q95XTeAFTsY5V1YUwiMPlPG584Ru4yNTol0Sqiy1SvhYpWmRySQ0Kdo3hXRKWOUIKC7PZRk_hfWqrvxzYD6isKRwJnOlzCNjDHYYyyR3yGGnXABviXS6F_tGtx6FyDQRWLcE1iIM4MOCstr2wONU_2J6W_P3y-a_OsSN2xruEZuWjQgou32AcqP7eacT6WyZ01_YUkprirg0wpWh86mloGAAbxZM1jixKFpSVL6-bLQg7P0oU0kcwLOO6ctPxbFUGV4BpCvisDKW1TfVxY8WvBuHQgA-L_6LdK_h3vD0aKRHX44PX8J9Qfk0YcSjfAvW578v_TYaRHPzqpf-a8B4Ahg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Zb9QwEB6VViBeEDfhNALxhNvEcZzkcduyFFoK6rJV36z4gkrdpGK3Qv33zORYsRWVUJ6SWI4zh2fsGX8D8LZAk6JMUnJcahguA_pwJhGO2zxxmbSUtUiHk78cqr2p_HySnayBGs7C9BScb1bzWRvIJ80-d6GvR1hszbZPm01cS8UpMvgGbFCgCuV7YzSaft1f7q7EKckqbbAIdGk4zs_lALB5tQ-ci_FbYsUutfD9__I5r6ZO_mWLxnfhTu9EslHH9Xuw5uv7cLMrK3n5AA4--rqZeTbp0qTROLEm4N1vnDvYrqewwZwd-R_tLuDZJSMYp4qsD5uMjiZ8pznmgh3jIppyZB7CdPzh-84e76sm8AqVccGVFZXwyANlfOk8odv4xAT0S2JV5FYJn6o8rwqZxSZH_6aSTgmrHAHFlaUM6SNYr5vaPwHmEwpLCmcKF2SZGGOww1RmpUMOO-UieEOk0wPTdLuiEIUmAuuWwFrEEbwfKKttDzxO9S_Ormv-btn8vEPcuK7hNrFp2YiAstsHKDa61zudSWdDSX9hg5TWVGkwwoXY-dxSUDCC1wOTNSoWRUuq2jcXcy0Iez8pVJZG8Lhj-vJTaSpVgVcE-Yo4rIxl9U19-rMF78ahEIDP0_8i3Su49W13rA8-He4_g9uC0mnihCflc1hf_LrwL9AfWpiXvfD_AaHRAbQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Genome+Sequencing+of+Sewage+Detects+Regionally+Prevalent+SARS-CoV-2+Variants&rft.jtitle=mBio&rft.au=Crits-Christoph%2C+Alexander&rft.au=Kantor%2C+Rose+S&rft.au=Olm%2C+Matthew+R&rft.au=Whitney%2C+Oscar+N&rft.date=2021-01-19&rft.eissn=2150-7511&rft.volume=12&rft.issue=1&rft_id=info:doi/10.1128%2FmBio.02703-20&rft_id=info%3Apmid%2F33468686&rft.externalDocID=33468686
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2161-2129&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2161-2129&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2161-2129&client=summon