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In silico re-assessment of a diagnostic RT-qPCR assay for universal detection of Influenza A viruses

Identifieur interne : 000F65 ( Ncbi/Merge ); précédent : 000F64; suivant : 000F66

In silico re-assessment of a diagnostic RT-qPCR assay for universal detection of Influenza A viruses

Auteurs : Alexander Nagy [République tchèque] ; Tomáš Ji Inec [République tchèque] ; Helena Ji Incová [République tchèque] ; Lenka Erníková [République tchèque] ; Martina Havlí Ková [République tchèque]

Source :

RBID : PMC:6367508

Abstract

The ongoing evolution of microbial pathogens represents a significant issue in diagnostic PCR/qPCR. Many assays are burdened with false negativity due to mispriming and/or probe-binding failures. Therefore, PCR/qPCR assays used in the laboratory should be periodically re-assessed in silico on public sequences to evaluate the ability to detect actually circulating strains and to infer potentially escaping variants. In the work presented we re-assessed a RT-qPCR assay for the universal detection of influenza A (IA) viruses currently recommended by the European Union Reference Laboratory for Avian Influenza. To this end, the primers and probe sequences were challenged against more than 99,000 M-segment sequences in five data pools. To streamline this process, we developed a simple algorithm called the SequenceTracer designed for alignment stratification, compression, and personal sequence subset selection and also demonstrated its utility. The re-assessment confirmed the high inclusivity of the assay for the detection of avian, swine and human pandemic H1N1 IA viruses. On the other hand, the analysis identified human H3N2 strains with a critical probe-interfering mutation circulating since 2010, albeit with a significantly fluctuating proportion. Minor variations located in the forward and reverse primers identified in the avian and swine data were also considered.


Url:
DOI: 10.1038/s41598-018-37869-w
PubMed: 30733500
PubMed Central: 6367508

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PMC:6367508

Le document en format XML

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re-assessment of a diagnostic RT-qPCR assay for universal detection of Influenza A viruses</article-title>
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<year>2019</year>
</pub-date>
<volume>9</volume>
<elocation-id>1630</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>8</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>12</month>
<year>2018</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2019</copyright-statement>
<license license-type="OpenAccess">
<license-p>
<bold>Open Access</bold>
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
.</license-p>
</license>
</permissions>
<abstract id="Abs1">
<p id="Par1">The ongoing evolution of microbial pathogens represents a significant issue in diagnostic PCR/qPCR. Many assays are burdened with false negativity due to mispriming and/or probe-binding failures. Therefore, PCR/qPCR assays used in the laboratory should be periodically re-assessed
<italic>in silico</italic>
on public sequences to evaluate the ability to detect actually circulating strains and to infer potentially escaping variants. In the work presented we re-assessed a RT-qPCR assay for the universal detection of influenza A (IA) viruses currently recommended by the European Union Reference Laboratory for Avian Influenza. To this end, the primers and probe sequences were challenged against more than 99,000 M-segment sequences in five data pools. To streamline this process, we developed a simple algorithm called the SequenceTracer designed for alignment stratification, compression, and personal sequence subset selection and also demonstrated its utility. The re-assessment confirmed the high inclusivity of the assay for the detection of avian, swine and human pandemic H1N1 IA viruses. On the other hand, the analysis identified human H3N2 strains with a critical probe-interfering mutation circulating since 2010, albeit with a significantly fluctuating proportion. Minor variations located in the forward and reverse primers identified in the avian and swine data were also considered.</p>
</abstract>
<custom-meta-group>
<custom-meta>
<meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2019</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>République tchèque</li>
</country>
<region>
<li>Bohême centrale</li>
</region>
<settlement>
<li>Prague</li>
</settlement>
</list>
<tree>
<country name="République tchèque">
<region name="Bohême centrale">
<name sortKey="Nagy, Alexander" sort="Nagy, Alexander" uniqKey="Nagy A" first="Alexander" last="Nagy">Alexander Nagy</name>
</region>
<name sortKey=" Ernikova, Lenka" sort=" Ernikova, Lenka" uniqKey=" Ernikova L" first="Lenka" last=" Erníková">Lenka Erníková</name>
<name sortKey="Havli Kova, Martina" sort="Havli Kova, Martina" uniqKey="Havli Kova M" first="Martina" last="Havlí Ková">Martina Havlí Ková</name>
<name sortKey="Ji Incova, Helena" sort="Ji Incova, Helena" uniqKey="Ji Incova H" first="Helena" last="Ji Incová">Helena Ji Incová</name>
<name sortKey="Ji Inec, Tomas" sort="Ji Inec, Tomas" uniqKey="Ji Inec T" first="Tomáš" last="Ji Inec">Tomáš Ji Inec</name>
<name sortKey="Nagy, Alexander" sort="Nagy, Alexander" uniqKey="Nagy A" first="Alexander" last="Nagy">Alexander Nagy</name>
</country>
</tree>
</affiliations>
</record>

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