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Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a complex strategy for the transcription of viral subgenomic mRNAs (sgmRNAs), which are targets for nucleic acid diagnostics. Each of these sgmRNAs has a unique 5′ sequence, the leader–transcriptional regulatory sequence gene junction...

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Autores principales: Dong, Xiaofeng, Penrice-Randal, Rebekah, Goldswain, Hannah, Prince, Tessa, Randle, Nadine, Donovan-Banfield, I'ah, Salguero, Francisco J, Tree, Julia, Vamos, Ecaterina, Nelson, Charlotte, Clark, Jordan, Ryan, Yan, Stewart, James P, Semple, Malcolm G, Baillie, J Kenneth, Openshaw, Peter J M, Turtle, Lance, Matthews, David A, Carroll, Miles W, Darby, Alistair C, Hiscox, Julian A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154083/
https://www.ncbi.nlm.nih.gov/pubmed/35639883
http://dx.doi.org/10.1093/gigascience/giac045
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author Dong, Xiaofeng
Penrice-Randal, Rebekah
Goldswain, Hannah
Prince, Tessa
Randle, Nadine
Donovan-Banfield, I'ah
Salguero, Francisco J
Tree, Julia
Vamos, Ecaterina
Nelson, Charlotte
Clark, Jordan
Ryan, Yan
Stewart, James P
Semple, Malcolm G
Baillie, J Kenneth
Openshaw, Peter J M
Turtle, Lance
Matthews, David A
Carroll, Miles W
Darby, Alistair C
Hiscox, Julian A
author_facet Dong, Xiaofeng
Penrice-Randal, Rebekah
Goldswain, Hannah
Prince, Tessa
Randle, Nadine
Donovan-Banfield, I'ah
Salguero, Francisco J
Tree, Julia
Vamos, Ecaterina
Nelson, Charlotte
Clark, Jordan
Ryan, Yan
Stewart, James P
Semple, Malcolm G
Baillie, J Kenneth
Openshaw, Peter J M
Turtle, Lance
Matthews, David A
Carroll, Miles W
Darby, Alistair C
Hiscox, Julian A
author_sort Dong, Xiaofeng
collection PubMed
description Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a complex strategy for the transcription of viral subgenomic mRNAs (sgmRNAs), which are targets for nucleic acid diagnostics. Each of these sgmRNAs has a unique 5′ sequence, the leader–transcriptional regulatory sequence gene junction (leader–TRS junction), that can be identified using sequencing. High-resolution sequencing has been used to investigate the biology of SARS-CoV-2 and the host response in cell culture and animal models and from clinical samples. LeTRS, a bioinformatics tool, was developed to identify leader–TRS junctions and can be used as a proxy to quantify sgmRNAs for understanding virus biology. LeTRS is readily adaptable for other coronaviruses such as Middle East respiratory syndrome coronavirus or a future newly discovered coronavirus. LeTRS was tested on published data sets and novel clinical samples from patients and longitudinal samples from animal models with coronavirus disease 2019. LeTRS identified known leader–TRS junctions and identified putative novel sgmRNAs that were common across different mammalian species. This may be indicative of an evolutionary mechanism where plasticity in transcription generates novel open reading frames, which can then subject to selection pressure. The data indicated multiphasic abundance of sgmRNAs in two different animal models. This recapitulates the relative sgmRNA abundance observed in cells at early points in infection but not at late points. This pattern is reflected in some human nasopharyngeal samples and therefore has implications for transmission models and nucleic acid–based diagnostics. LeTRS provides a quantitative measure of sgmRNA abundance from sequencing data. This can be used to assess the biology of SARS-CoV-2 (or other coronaviruses) in clinical and nonclinical samples, especially to evaluate different variants and medical countermeasures that may influence viral RNA synthesis.
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spelling pubmed-91540832022-06-04 Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers Dong, Xiaofeng Penrice-Randal, Rebekah Goldswain, Hannah Prince, Tessa Randle, Nadine Donovan-Banfield, I'ah Salguero, Francisco J Tree, Julia Vamos, Ecaterina Nelson, Charlotte Clark, Jordan Ryan, Yan Stewart, James P Semple, Malcolm G Baillie, J Kenneth Openshaw, Peter J M Turtle, Lance Matthews, David A Carroll, Miles W Darby, Alistair C Hiscox, Julian A Gigascience Research Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a complex strategy for the transcription of viral subgenomic mRNAs (sgmRNAs), which are targets for nucleic acid diagnostics. Each of these sgmRNAs has a unique 5′ sequence, the leader–transcriptional regulatory sequence gene junction (leader–TRS junction), that can be identified using sequencing. High-resolution sequencing has been used to investigate the biology of SARS-CoV-2 and the host response in cell culture and animal models and from clinical samples. LeTRS, a bioinformatics tool, was developed to identify leader–TRS junctions and can be used as a proxy to quantify sgmRNAs for understanding virus biology. LeTRS is readily adaptable for other coronaviruses such as Middle East respiratory syndrome coronavirus or a future newly discovered coronavirus. LeTRS was tested on published data sets and novel clinical samples from patients and longitudinal samples from animal models with coronavirus disease 2019. LeTRS identified known leader–TRS junctions and identified putative novel sgmRNAs that were common across different mammalian species. This may be indicative of an evolutionary mechanism where plasticity in transcription generates novel open reading frames, which can then subject to selection pressure. The data indicated multiphasic abundance of sgmRNAs in two different animal models. This recapitulates the relative sgmRNA abundance observed in cells at early points in infection but not at late points. This pattern is reflected in some human nasopharyngeal samples and therefore has implications for transmission models and nucleic acid–based diagnostics. LeTRS provides a quantitative measure of sgmRNA abundance from sequencing data. This can be used to assess the biology of SARS-CoV-2 (or other coronaviruses) in clinical and nonclinical samples, especially to evaluate different variants and medical countermeasures that may influence viral RNA synthesis. Oxford University Press 2022-05-26 /pmc/articles/PMC9154083/ /pubmed/35639883 http://dx.doi.org/10.1093/gigascience/giac045 Text en © The Author(s) 2022. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Dong, Xiaofeng
Penrice-Randal, Rebekah
Goldswain, Hannah
Prince, Tessa
Randle, Nadine
Donovan-Banfield, I'ah
Salguero, Francisco J
Tree, Julia
Vamos, Ecaterina
Nelson, Charlotte
Clark, Jordan
Ryan, Yan
Stewart, James P
Semple, Malcolm G
Baillie, J Kenneth
Openshaw, Peter J M
Turtle, Lance
Matthews, David A
Carroll, Miles W
Darby, Alistair C
Hiscox, Julian A
Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title_full Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title_fullStr Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title_full_unstemmed Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title_short Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence identifiers
title_sort analysis of sars-cov-2 known and novel subgenomic mrnas in cell culture, animal model, and clinical samples using letrs, a bioinformatic tool to identify unique sequence identifiers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154083/
https://www.ncbi.nlm.nih.gov/pubmed/35639883
http://dx.doi.org/10.1093/gigascience/giac045
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