Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy
Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the pressing contemporary public health challenges. Investigations into the genomic structure of SARS-CoV-2 may inform ongoing vaccine development efforts and/or provide insights into va...
| 發表在: | Vaccines |
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| Main Authors: | , , , , , , , , , , , , , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
MDPI AG
2020-10-01
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| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2076-393X/8/4/591 |
| _version_ | 1850074987013079040 |
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| author | Nanda Kumar Yellapu Shachi Patel Bo Zhang Richard Meier Lisa Neums Dong Pei Qing Xia Duncan Rotich Rosalyn C. Zimmermann Emily Nissen Shelby Bell-Glenn Whitney Shae Jinxiang Hu Prabhakar Chalise Lynn Chollet-Hinton Devin C. Koestler Jeffery A. Thompson |
| author_facet | Nanda Kumar Yellapu Shachi Patel Bo Zhang Richard Meier Lisa Neums Dong Pei Qing Xia Duncan Rotich Rosalyn C. Zimmermann Emily Nissen Shelby Bell-Glenn Whitney Shae Jinxiang Hu Prabhakar Chalise Lynn Chollet-Hinton Devin C. Koestler Jeffery A. Thompson |
| author_sort | Nanda Kumar Yellapu |
| collection | DOAJ |
| container_title | Vaccines |
| description | Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the pressing contemporary public health challenges. Investigations into the genomic structure of SARS-CoV-2 may inform ongoing vaccine development efforts and/or provide insights into vaccine efficacy to fight against COVID-19. Evolutionary analysis of 540 genomes spanning 20 different countries/territories was conducted and revealed an increase in the genomic divergence across successive generations. The ancestor of the phylogeny was found to be the isolate from the 2019/2020 Wuhan outbreak. Its transmission was outlined across 20 countries/territories as per genomic similarity. Our results demonstrate faster evolving variations in the genomic structure of SARS-CoV-2 when compared to the isolates from early stages of the pandemic. Genomic alterations were predominantly located and mapped onto the reported vaccine candidates of structural genes, which are the main targets for vaccine candidates. S protein showed 34, N protein 25, E protein 2, and M protein 3 amino acid variations in 246 genomes among 540. Among identified mutations, 23 in S protein, 1 in E, 2 from M, and 7 from N protein were mapped with the reported vaccine candidates explaining the possible implications on universal vaccines. Hence, potential target regions for vaccines would be ideally chosen from the structural regions of the genome that lack high variation. The increasing variations in the genome of SARS-CoV-2 together with our observations in structural genes have important implications for the efficacy of a successful universal vaccine against SARS-CoV-2. |
| format | Article |
| id | doaj-art-ec9398e7eba0458abec4e6eba98cb1a4 |
| institution | Directory of Open Access Journals |
| issn | 2076-393X |
| language | English |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-ec9398e7eba0458abec4e6eba98cb1a42025-08-20T00:15:52ZengMDPI AGVaccines2076-393X2020-10-018459110.3390/vaccines8040591Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine EfficacyNanda Kumar Yellapu0Shachi Patel1Bo Zhang2Richard Meier3Lisa Neums4Dong Pei5Qing Xia6Duncan Rotich7Rosalyn C. Zimmermann8Emily Nissen9Shelby Bell-Glenn10Whitney Shae11Jinxiang Hu12Prabhakar Chalise13Lynn Chollet-Hinton14Devin C. Koestler15Jeffery A. Thompson16Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Cancer Biology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USADepartment of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USACoronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the pressing contemporary public health challenges. Investigations into the genomic structure of SARS-CoV-2 may inform ongoing vaccine development efforts and/or provide insights into vaccine efficacy to fight against COVID-19. Evolutionary analysis of 540 genomes spanning 20 different countries/territories was conducted and revealed an increase in the genomic divergence across successive generations. The ancestor of the phylogeny was found to be the isolate from the 2019/2020 Wuhan outbreak. Its transmission was outlined across 20 countries/territories as per genomic similarity. Our results demonstrate faster evolving variations in the genomic structure of SARS-CoV-2 when compared to the isolates from early stages of the pandemic. Genomic alterations were predominantly located and mapped onto the reported vaccine candidates of structural genes, which are the main targets for vaccine candidates. S protein showed 34, N protein 25, E protein 2, and M protein 3 amino acid variations in 246 genomes among 540. Among identified mutations, 23 in S protein, 1 in E, 2 from M, and 7 from N protein were mapped with the reported vaccine candidates explaining the possible implications on universal vaccines. Hence, potential target regions for vaccines would be ideally chosen from the structural regions of the genome that lack high variation. The increasing variations in the genome of SARS-CoV-2 together with our observations in structural genes have important implications for the efficacy of a successful universal vaccine against SARS-CoV-2.https://www.mdpi.com/2076-393X/8/4/591COVID-19SARS-CoV-2phylogenetic analysisgenomic divergencevaccine development |
| spellingShingle | Nanda Kumar Yellapu Shachi Patel Bo Zhang Richard Meier Lisa Neums Dong Pei Qing Xia Duncan Rotich Rosalyn C. Zimmermann Emily Nissen Shelby Bell-Glenn Whitney Shae Jinxiang Hu Prabhakar Chalise Lynn Chollet-Hinton Devin C. Koestler Jeffery A. Thompson Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy COVID-19 SARS-CoV-2 phylogenetic analysis genomic divergence vaccine development |
| title | Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy |
| title_full | Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy |
| title_fullStr | Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy |
| title_full_unstemmed | Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy |
| title_short | Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy |
| title_sort | evolutionary analysis of severe acute respiratory syndrome coronavirus 2 sars cov 2 reveals genomic divergence with implications for universal vaccine efficacy |
| topic | COVID-19 SARS-CoV-2 phylogenetic analysis genomic divergence vaccine development |
| url | https://www.mdpi.com/2076-393X/8/4/591 |
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