Rapid Identification of Emerging Pathogens: Coronavirus
Identifieur interne : 000F65 ( Pmc/Corpus ); précédent : 000F64; suivant : 000F66Rapid Identification of Emerging Pathogens: Coronavirus
Auteurs : Rangarajan Sampath ; Steven A. Hofstadler ; Lawrence B. Blyn ; Mark W. Eshoo ; Thomas A. Hall ; Christian Massire ; Harold M. Levene ; James C. Hannis ; Patina M. Harrell ; Benjamin Neuman ; Michael J. Buchmeier ; Yun Jiang ; Raymond Ranken ; Jared J. Drader ; Vivek Samant ; Richard H. Griffey ; John A. Mcneil ; Stanley T. Crooke ; David J. EckerSource :
- Emerging Infectious Diseases [ 1080-6040 ] ; 2005.
Abstract
New surveillance approach can analyze >900 polymerase chain reactions per day.
Url:
DOI: 10.3201/eid1103.040629
PubMed: 15757550
PubMed Central: 3298233
Links to Exploration step
PMC:3298233Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Rapid Identification of Emerging Pathogens: Coronavirus</title>
<author><name sortKey="Sampath, Rangarajan" sort="Sampath, Rangarajan" uniqKey="Sampath R" first="Rangarajan" last="Sampath">Rangarajan Sampath</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hofstadler, Steven A" sort="Hofstadler, Steven A" uniqKey="Hofstadler S" first="Steven A." last="Hofstadler">Steven A. Hofstadler</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Blyn, Lawrence B" sort="Blyn, Lawrence B" uniqKey="Blyn L" first="Lawrence B." last="Blyn">Lawrence B. Blyn</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Eshoo, Mark W" sort="Eshoo, Mark W" uniqKey="Eshoo M" first="Mark W." last="Eshoo">Mark W. Eshoo</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hall, Thomas A" sort="Hall, Thomas A" uniqKey="Hall T" first="Thomas A." last="Hall">Thomas A. Hall</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Massire, Christian" sort="Massire, Christian" uniqKey="Massire C" first="Christian" last="Massire">Christian Massire</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Levene, Harold M" sort="Levene, Harold M" uniqKey="Levene H" first="Harold M." last="Levene">Harold M. Levene</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hannis, James C" sort="Hannis, James C" uniqKey="Hannis J" first="James C." last="Hannis">James C. Hannis</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Harrell, Patina M" sort="Harrell, Patina M" uniqKey="Harrell P" first="Patina M." last="Harrell">Patina M. Harrell</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Neuman, Benjamin" sort="Neuman, Benjamin" uniqKey="Neuman B" first="Benjamin" last="Neuman">Benjamin Neuman</name>
<affiliation><nlm:aff id="aff2">The Scripps Research Institute, La Jolla, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Buchmeier, Michael J" sort="Buchmeier, Michael J" uniqKey="Buchmeier M" first="Michael J." last="Buchmeier">Michael J. Buchmeier</name>
<affiliation><nlm:aff id="aff2">The Scripps Research Institute, La Jolla, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Jiang, Yun" sort="Jiang, Yun" uniqKey="Jiang Y" first="Yun" last="Jiang">Yun Jiang</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ranken, Raymond" sort="Ranken, Raymond" uniqKey="Ranken R" first="Raymond" last="Ranken">Raymond Ranken</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Drader, Jared J" sort="Drader, Jared J" uniqKey="Drader J" first="Jared J." last="Drader">Jared J. Drader</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Samant, Vivek" sort="Samant, Vivek" uniqKey="Samant V" first="Vivek" last="Samant">Vivek Samant</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Griffey, Richard H" sort="Griffey, Richard H" uniqKey="Griffey R" first="Richard H." last="Griffey">Richard H. Griffey</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mcneil, John A" sort="Mcneil, John A" uniqKey="Mcneil J" first="John A." last="Mcneil">John A. Mcneil</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Crooke, Stanley T" sort="Crooke, Stanley T" uniqKey="Crooke S" first="Stanley T." last="Crooke">Stanley T. Crooke</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ecker, David J" sort="Ecker, David J" uniqKey="Ecker D" first="David J." last="Ecker">David J. Ecker</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Rapid Identification of Emerging Pathogens: Coronavirus</title>
<author><name sortKey="Sampath, Rangarajan" sort="Sampath, Rangarajan" uniqKey="Sampath R" first="Rangarajan" last="Sampath">Rangarajan Sampath</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
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<author><name sortKey="Hofstadler, Steven A" sort="Hofstadler, Steven A" uniqKey="Hofstadler S" first="Steven A." last="Hofstadler">Steven A. Hofstadler</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Blyn, Lawrence B" sort="Blyn, Lawrence B" uniqKey="Blyn L" first="Lawrence B." last="Blyn">Lawrence B. Blyn</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Eshoo, Mark W" sort="Eshoo, Mark W" uniqKey="Eshoo M" first="Mark W." last="Eshoo">Mark W. Eshoo</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hall, Thomas A" sort="Hall, Thomas A" uniqKey="Hall T" first="Thomas A." last="Hall">Thomas A. Hall</name>
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</affiliation>
</author>
<author><name sortKey="Massire, Christian" sort="Massire, Christian" uniqKey="Massire C" first="Christian" last="Massire">Christian Massire</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Levene, Harold M" sort="Levene, Harold M" uniqKey="Levene H" first="Harold M." last="Levene">Harold M. Levene</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Hannis, James C" sort="Hannis, James C" uniqKey="Hannis J" first="James C." last="Hannis">James C. Hannis</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Harrell, Patina M" sort="Harrell, Patina M" uniqKey="Harrell P" first="Patina M." last="Harrell">Patina M. Harrell</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Neuman, Benjamin" sort="Neuman, Benjamin" uniqKey="Neuman B" first="Benjamin" last="Neuman">Benjamin Neuman</name>
<affiliation><nlm:aff id="aff2">The Scripps Research Institute, La Jolla, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Buchmeier, Michael J" sort="Buchmeier, Michael J" uniqKey="Buchmeier M" first="Michael J." last="Buchmeier">Michael J. Buchmeier</name>
<affiliation><nlm:aff id="aff2">The Scripps Research Institute, La Jolla, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Jiang, Yun" sort="Jiang, Yun" uniqKey="Jiang Y" first="Yun" last="Jiang">Yun Jiang</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ranken, Raymond" sort="Ranken, Raymond" uniqKey="Ranken R" first="Raymond" last="Ranken">Raymond Ranken</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Drader, Jared J" sort="Drader, Jared J" uniqKey="Drader J" first="Jared J." last="Drader">Jared J. Drader</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Samant, Vivek" sort="Samant, Vivek" uniqKey="Samant V" first="Vivek" last="Samant">Vivek Samant</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Griffey, Richard H" sort="Griffey, Richard H" uniqKey="Griffey R" first="Richard H." last="Griffey">Richard H. Griffey</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mcneil, John A" sort="Mcneil, John A" uniqKey="Mcneil J" first="John A." last="Mcneil">John A. Mcneil</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Crooke, Stanley T" sort="Crooke, Stanley T" uniqKey="Crooke S" first="Stanley T." last="Crooke">Stanley T. Crooke</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Ecker, David J" sort="Ecker, David J" uniqKey="Ecker D" first="David J." last="Ecker">David J. Ecker</name>
<affiliation><nlm:aff id="aff1">Ibis Therapeutics, Carlsbad, California, USA</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Emerging Infectious Diseases</title>
<idno type="ISSN">1080-6040</idno>
<idno type="eISSN">1080-6059</idno>
<imprint><date when="2005">2005</date>
</imprint>
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<front><div type="abstract" xml:lang="en"><p>New surveillance approach can analyze >900 polymerase chain reactions per day.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Emerg Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Emerging Infect. Dis</journal-id>
<journal-id journal-id-type="publisher-id">EID</journal-id>
<journal-title-group><journal-title>Emerging Infectious Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">1080-6040</issn>
<issn pub-type="epub">1080-6059</issn>
<publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">15757550</article-id>
<article-id pub-id-type="pmc">3298233</article-id>
<article-id pub-id-type="publisher-id">04-0629</article-id>
<article-id pub-id-type="doi">10.3201/eid1103.040629</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research</subject>
</subj-group>
<subj-group subj-group-type="article-type"><subject>Research</subject>
</subj-group>
</article-categories>
<title-group><article-title>Rapid Identification of Emerging Pathogens: Coronavirus</article-title>
<alt-title alt-title-type="running-head">Rapid Identification of Emerging Pathogens</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Sampath</surname>
<given-names>Rangarajan</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hofstadler</surname>
<given-names>Steven A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Blyn</surname>
<given-names>Lawrence B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Eshoo</surname>
<given-names>Mark W.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hall</surname>
<given-names>Thomas A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Massire</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Levene</surname>
<given-names>Harold M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hannis</surname>
<given-names>James C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Harrell</surname>
<given-names>Patina M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Neuman</surname>
<given-names>Benjamin</given-names>
</name>
<xref ref-type="aff" rid="aff2">†</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Buchmeier</surname>
<given-names>Michael J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">†</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Jiang</surname>
<given-names>Yun</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ranken</surname>
<given-names>Raymond</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Drader</surname>
<given-names>Jared J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Samant</surname>
<given-names>Vivek</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Griffey</surname>
<given-names>Richard H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>McNeil</surname>
<given-names>John A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Crooke</surname>
<given-names>Stanley T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ecker</surname>
<given-names>David J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">*</xref>
</contrib>
<aff id="aff1"><label>*</label>
Ibis Therapeutics, Carlsbad, California, USA</aff>
<aff id="aff2"><label>†</label>
The Scripps Research Institute, La Jolla, California, USA</aff>
</contrib-group>
<author-notes><corresp id="cor1">Address for correspondence: Rangarajan Sampath, Ibis Therapeutics, 1891 Rutherford Ct., Carlsbad, CA 92008, USA; fax: 760-603-4653; email: <email xlink:href="rsampath@isisph.com">rsampath@isisph.com</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub"><month>3</month>
<year>2005</year>
</pub-date>
<volume>11</volume>
<issue>3</issue>
<fpage>373</fpage>
<lpage>379</lpage>
<abstract abstract-type="toc"><p>New surveillance approach can analyze >900 polymerase chain reactions per day.</p>
</abstract>
<abstract><p>We describe a new approach for infectious disease surveillance that facilitates rapid identification of known and emerging pathogens. The process uses broad-range polymerase chain reaction (PCR) to amplify nucleic acid targets from large groupings of organisms, electrospray ionization mass spectrometry for accurate mass measurements of PCR products, and base composition signature analysis to identify organisms in a sample. We demonstrate this principle by using 14 isolates of 9 diverse <italic>Coronavirus</italic>
spp., including the severe acute respiratory syndrome–associated coronavirus (SARS-CoV). We show that this method could identify and distinguish between SARS and other known CoV, including the human CoV 229E and OC43, individually and in a mixture of all 3 human viruses. The sensitivity of detection, measured by using titered SARS-CoV spiked into human serum, was ≈1 PFU/mL. This approach, applicable to the surveillance of bacterial, viral, fungal, or protozoal pathogens, is capable of automated analysis of >900 PCR reactions per day.</p>
</abstract>
<kwd-group kwd-group-type="author"><title>Keywords: </title>
<kwd>PCR</kwd>
<kwd>molecular epidemiology</kwd>
<kwd>emerging pathogens</kwd>
<kwd>SARS virus</kwd>
<kwd>infectious disease surveillance</kwd>
<kwd>ESI mass spectrometry</kwd>
<kwd>research</kwd>
</kwd-group>
</article-meta>
</front>
<body><p>Nucleic acid tests for infectious diseases are primarily based on amplification methods that use primers and probes designed to detect specific organisms. Because prior knowledge of nucleic acid sequence information is required to develop these tests, they are not able to identify unanticipated, newly emergent, or previously unknown infectious organisms. Thus, the discovery of new infectious organisms still relies largely on culture methods and microscopy, which were as important in the recent identification of the severe acute respiratory syndrome–associated coronavirus (SARS-CoV) as they were in the discovery of HIV 2 decades ago (<xref ref-type="bibr" rid="R1"><italic>1</italic>
</xref>
–<xref ref-type="bibr" rid="R4"><italic>4</italic>
</xref>
).</p>
<p>Broad-range polymerase chain reaction (PCR) methods provide an alternative to single-agent tests. By amplifying gene targets conserved across groups of organisms, broad-range PCR has the potential to generate amplification products across entire genera, families, or as with bacteria, an entire domain of life. This strategy has been successfully used with consensus 16S ribosomal RNA primers for determining bacterial diversity, both in environmental samples (<xref ref-type="bibr" rid="R5"><italic>5</italic>
</xref>
) and in natural human flora (<xref ref-type="bibr" rid="R6"><italic>6</italic>
</xref>
). Broad-range priming has also been described for detection of several viral families, including CoV (<xref ref-type="bibr" rid="R7"><italic>7</italic>
</xref>
), enteroviruses (<xref ref-type="bibr" rid="R8"><italic>8</italic>
</xref>
), retroid viruses (<xref ref-type="bibr" rid="R9"><italic>9</italic>
</xref>
), and adenoviruses (<xref ref-type="bibr" rid="R10"><italic>10</italic>
</xref>
). The drawback of this approach for epidemiologic applications is that the analysis of PCR products for mixed amplified samples requires sequencing hundreds of colonies per reaction, which is impractical to perform rapidly or on large numbers of samples. New approaches to the parallel detection of multiple infectious agents include multiplexed PCR methods (<xref ref-type="bibr" rid="R11"><italic>11</italic>
</xref>
,<xref ref-type="bibr" rid="R12"><italic>12</italic>
</xref>
) and microarray strategies (<xref ref-type="bibr" rid="R13"><italic>13</italic>
</xref>
–<xref ref-type="bibr" rid="R15"><italic>15</italic>
</xref>
). Microarray strategies are promising because undiscovered organisms might be detected by hybridization to probes designed to conserved regions of known families of bacteria and viruses.</p>
<p>We present an alternative approach for rapid, sensitive, and high-throughput detection of infectious organisms. We use broad-range PCR to generate amplification products from the broadest possible grouping of organisms, followed by electrospray ionization mass spectrometry and base composition analysis of the products (<xref ref-type="bibr" rid="R16"><italic>16</italic>
</xref>
,<xref ref-type="bibr" rid="R17"><italic>17</italic>
</xref>
). The base compositions of strategically selected regions of the genome are used to identify and distinguish organisms in the sample. Enhanced breadth of priming is achieved through the use of primers and probes containing 5-propynyl deoxycytidine and deoxyuridine nucleotides that offer increased affinity and base pairing selectivity (<xref ref-type="bibr" rid="R18"><italic>18</italic>
</xref>
,<xref ref-type="bibr" rid="R19"><italic>19</italic>
</xref>
). Positioning the 5-propynyl primidine-modified nucleotides at highly conserved positions enables priming at short consensus regions and significantly increases the extent to which broad groups of organisms can be amplified.</p>
<sec sec-type="materials|methods"><title>Materials and Methods</title>
<sec><title>CoV Isolates and Broad-range PCR Primer Pairs</title>
<p><xref ref-type="table" rid="T1">Table 1</xref>
lists all the CoV used in this study. Multiple sequence alignments of all available CoV nucleotide sequences from GenBank were scanned to identify pairs of potential PCR priming loci. Two target regions were selected in CoV ORF-1b (annotations based on Snijder et al. [20]), 1 in RNA-dependent RNA polymerase (RdRp) and the other in Nsp14 (<xref ref-type="table" rid="T2">Table 2</xref>
). 5′ propynyl-modified pyrimidine nucleotides (shown in bold) were positioned at universally conserved positions within these primers to extend the breadth of broad-range priming to allow efficient PCR from all CoV species tested.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><title>Coronaviruses used in the study and mass spectrometry results*</title>
</caption>
<table frame="hsides" rules="groups"><col width="28" span="1"></col>
<col width="54" span="1"></col>
<col width="54" span="1"></col>
<col width="42" span="1"></col>
<col width="35" span="1"></col>
<col width="60" span="1"></col>
<col width="73" span="1"></col>
<col width="56" span="1"></col>
<col width="77" span="1"></col>
<thead><tr><th rowspan="2" valign="bottom" align="center" scope="col" colspan="1">Group</th>
<th rowspan="2" valign="bottom" align="center" scope="col" colspan="1">CoV species</th>
<th rowspan="2" valign="bottom" align="center" scope="col" colspan="1">Strain</th>
<th rowspan="2" valign="bottom" align="center" scope="col" colspan="1">Source</th>
<th rowspan="2" valign="bottom" align="center" scope="col" colspan="1">Strand</th>
<th valign="bottom" colspan="2" align="center" scope="colgroup" rowspan="1">RdRp<hr></hr>
</th>
<th valign="bottom" colspan="2" align="center" scope="colgroup" rowspan="1">Nsp14<hr></hr>
</th>
</tr>
<tr><th valign="bottom" colspan="1" align="center" scope="colgroup" rowspan="1">Experiment determined masses (Da)</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Calculated base compositions</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Experiment determined masses (Da)†</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Calculated base compositions</th>
</tr>
</thead>
<tbody><tr><td rowspan="12" valign="top" align="left" scope="row" colspan="1">1<hr></hr>
</td>
<td rowspan="4" valign="top" align="center" colspan="1">Canine</td>
<td rowspan="2" valign="top" align="center" colspan="1">1-71</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR809</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27486.514</td>
<td valign="top" align="center" rowspan="1" colspan="1">A24 G24 C8 T32</td>
<td valign="top" align="center" rowspan="1" colspan="1">42475.955</td>
<td valign="top" align="center" rowspan="1" colspan="1">A33 G31 C19 T54</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">26936.574</td>
<td valign="top" align="center" rowspan="1" colspan="1">A32 G8 C24 T24</td>
<td valign="top" align="center" rowspan="1" colspan="1">42185.117</td>
<td valign="top" align="center" rowspan="1" colspan="1">A54 G19 C31 T33</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">CCV-TN449</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR2068</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27471.510</td>
<td valign="top" align="center" rowspan="1" colspan="1">A24 G24 C9 T31</td>
<td valign="top" align="center" rowspan="1" colspan="1">42474.899</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G30 C18 T55</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">26952.548</td>
<td valign="top" align="center" rowspan="1" colspan="1">A31 G9 C24 T24</td>
<td valign="top" align="center" rowspan="1" colspan="1">42184.072</td>
<td valign="top" align="center" rowspan="1" colspan="1">A55 G18 C30 T34</td>
</tr>
<tr><td rowspan="4" valign="top" colspan="1" align="center" scope="row">Feline</td>
<td rowspan="2" valign="top" align="center" colspan="1">WSU 79-1683</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR-989</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27471.517</td>
<td valign="top" align="center" rowspan="1" colspan="1">A24 G24 C9 T31</td>
<td valign="top" align="center" rowspan="1" colspan="1">42490.945</td>
<td valign="top" align="center" rowspan="1" colspan="1">A33 G31 C18 T55</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">26952.556</td>
<td valign="top" align="center" rowspan="1" colspan="1">A31 G9 C24 T24</td>
<td valign="top" align="center" rowspan="1" colspan="1">42169.118</td>
<td valign="top" align="center" rowspan="1" colspan="1">A55 G18 C31 T33</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">DF2</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR2004</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27472.497</td>
<td valign="top" align="center" rowspan="1" colspan="1">A23 G25 C10 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42450.904</td>
<td valign="top" align="center" rowspan="1" colspan="1">A33 G30 C19 T55</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">26953.536</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G10 C25 T23</td>
<td valign="top" align="center" rowspan="1" colspan="1">42209.081</td>
<td valign="top" align="center" rowspan="1" colspan="1">A55 G19 C30 T33</td>
</tr>
<tr><td rowspan="4" valign="top" colspan="1" align="center" scope="row">Human 229E<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">229E</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR740</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27450.532</td>
<td valign="top" align="center" rowspan="1" colspan="1">A25 G24 C11 T28</td>
<td valign="top" align="center" rowspan="1" colspan="1">42462.994</td>
<td valign="top" align="center" rowspan="1" colspan="1">A36 G30 C20 T51</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">26975.545</td>
<td valign="top" align="center" rowspan="1" colspan="1">A28 G11 C24 T25</td>
<td valign="top" align="center" rowspan="1" colspan="1">42198.061</td>
<td valign="top" align="center" rowspan="1" colspan="1">A51 G20 C30 T36</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">229E<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">NHRC‡<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27450.506</td>
<td valign="top" align="center" rowspan="1" colspan="1">A25 G24 C11 T28</td>
<td valign="top" align="center" rowspan="1" colspan="1">42462.930</td>
<td valign="top" align="center" rowspan="1" colspan="1">A36 G30 C20 T51</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">26975.512<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A28 G11 C24 T25<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">42198.040<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A51 G20 C30 T36<hr></hr>
</td>
</tr>
<tr><td rowspan="12" valign="top" align="left" scope="row" colspan="1">2<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">Bovine</td>
<td rowspan="2" valign="top" align="center" colspan="1">Calf diarrheal virus</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR874</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27358.452</td>
<td valign="top" align="center" rowspan="1" colspan="1">A22 G22 C12 T32</td>
<td valign="top" align="center" rowspan="1" colspan="1">42606.039</td>
<td valign="top" align="center" rowspan="1" colspan="1">A38 G32 C15 T52</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27066.586</td>
<td valign="top" align="center" rowspan="1" colspan="1">A32 G12 C22 T22</td>
<td valign="top" align="center" rowspan="1" colspan="1">42052.897</td>
<td valign="top" align="center" rowspan="1" colspan="1">A52 G15 C32 T38</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">Human OC43</td>
<td rowspan="2" valign="top" align="center" colspan="1">OC43</td>
<td rowspan="2" valign="top" align="center" colspan="1">NHRC‡</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27328.473</td>
<td valign="top" align="center" rowspan="1" colspan="1">A22 G22 C14 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42580.959</td>
<td valign="top" align="center" rowspan="1" colspan="1">A38 G31 C15 T53</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27098.562</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G14 C22 T22</td>
<td valign="top" align="center" rowspan="1" colspan="1">42076.028</td>
<td valign="top" align="center" rowspan="1" colspan="1">A53 G15 C31 T38</td>
</tr>
<tr><td rowspan="6" valign="top" colspan="1" align="center" scope="row">Murine hepatitis virus</td>
<td rowspan="2" valign="top" align="center" colspan="1">MHV1</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR261</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27344.491</td>
<td valign="top" align="center" rowspan="1" colspan="1">A21 G23 C14 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42602.022</td>
<td valign="top" align="center" rowspan="1" colspan="1">A37 G34 C18 T48</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27083.564</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G14 C23 T21</td>
<td valign="top" align="center" rowspan="1" colspan="1">42061.016</td>
<td valign="top" align="center" rowspan="1" colspan="1">A48 G18 C34 T37</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">JHM-thermostable</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR1426</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27344.497</td>
<td valign="top" align="center" rowspan="1" colspan="1">A21 G23 C14 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42529.960</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G34 C21 T48</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27083.571</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G14 C23 T21</td>
<td valign="top" align="center" rowspan="1" colspan="1">42136.047</td>
<td valign="top" align="center" rowspan="1" colspan="1">A48 G21 C34 T34</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">MHV-A59</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR764</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27344.503</td>
<td valign="top" align="center" rowspan="1" colspan="1">A21 G23 C14 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42599.989</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G35 C18 T50</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27083.572</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G14 C23 T21</td>
<td valign="top" align="center" rowspan="1" colspan="1">42064.089</td>
<td valign="top" align="center" rowspan="1" colspan="1">A50 G18 C35 T34</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">Rat<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">8190<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR1410<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27344.491</td>
<td valign="top" align="center" rowspan="1" colspan="1">A21 G23 C14 T30</td>
<td valign="top" align="center" rowspan="1" colspan="1">42544.967</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G34 C20 T49</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">27083.567<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A30 G14 C23 T21<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">42120.041<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A49 G20 C34 T34<hr></hr>
</td>
</tr>
<tr><td rowspan="2" valign="top" align="left" scope="row" colspan="1">3<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">Infectious bronchitis virus<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">Egg-adapted<hr></hr>
</td>
<td rowspan="2" valign="top" align="center" colspan="1">VR22<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27396.544</td>
<td valign="top" align="center" rowspan="1" colspan="1">A24 G24 C14 T26</td>
<td valign="top" align="center" rowspan="1" colspan="1">42530.984</td>
<td valign="top" align="center" rowspan="1" colspan="1">A33 G32 C17 T55</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">27032.524<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A26 G14 C24 T24<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">42129.100<hr></hr>
</td>
<td valign="top" align="center" rowspan="1" colspan="1">A55 G17 C32 T33<hr></hr>
</td>
</tr>
<tr><td rowspan="4" valign="top" align="left" scope="row" colspan="1">4</td>
<td rowspan="4" valign="top" align="center" colspan="1">SARS</td>
<td rowspan="2" valign="top" align="center" colspan="1">TOR2</td>
<td rowspan="2" valign="top" align="center" colspan="1">University of Manitoba§</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27298.518</td>
<td valign="top" align="center" rowspan="1" colspan="1">A27 G19 C14 T28</td>
<td valign="top" align="center" rowspan="1" colspan="1">42519.906</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G33 C20 T50</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27125.542</td>
<td valign="top" align="center" rowspan="1" colspan="1">A28 G14 C19 T27</td>
<td valign="top" align="center" rowspan="1" colspan="1">42144.026</td>
<td valign="top" align="center" rowspan="1" colspan="1">A50 G20 C33 T34</td>
</tr>
<tr><td rowspan="2" valign="top" colspan="1" align="center" scope="row">Urbani</td>
<td rowspan="2" valign="top" align="center" colspan="1">CDC¶</td>
<td valign="top" align="center" rowspan="1" colspan="1">S</td>
<td valign="top" align="center" rowspan="1" colspan="1">27298.518</td>
<td valign="top" align="center" rowspan="1" colspan="1">A27 G19 C14 T28</td>
<td valign="top" align="center" rowspan="1" colspan="1">42519.906</td>
<td valign="top" align="center" rowspan="1" colspan="1">A34 G33 C20 T50</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">AS</td>
<td valign="top" align="center" rowspan="1" colspan="1">27125.542</td>
<td valign="top" align="center" rowspan="1" colspan="1">A28 G14 C19 T27</td>
<td valign="top" align="center" rowspan="1" colspan="1">42144.026</td>
<td valign="top" align="center" rowspan="1" colspan="1">A50 G20 C33 T34</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p>*CoV, coronavirus; SARS, severe acute respiratory syndrome.
†Exact mass measurements for the sense and antisense strands of the dsDNA amplicon reported. Experimentally observed masses were within ±1ppm of expected masses, based on sequence data for each of the amplified DNA. Sense and antisense strand base compositions reported.
‡Clinical isolate obtained from Kathryn Holmes, University of Colorado, via Kevin Russell, Naval Health Research Center, San Diego.
§Obtained from Heinz Feldmann, University of Manitoba.
¶Obtained from Dean Erdman, Centers for Disease Control and Prevention.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><title>PCR primer pairs used in this study*</title>
</caption>
<table frame="hsides" rules="groups"><col width="38" span="1"></col>
<col width="31" span="1"></col>
<col width="56" span="1"></col>
<col width="50" span="1"></col>
<col width="53" span="1"></col>
<col width="37" span="1"></col>
<col width="215" span="1"></col>
<thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Primer name</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Gene name</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Product name</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Genome coordinates</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Orientation</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Product
length (bp)</th>
<th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Sequence (5′ to >3′)</th>
</tr>
</thead>
<tbody><tr><td rowspan="2" valign="top" align="left" scope="row" colspan="1">RdRp primer</td>
<td rowspan="2" valign="top" align="center" colspan="1">ORF 1b</td>
<td rowspan="2" valign="top" align="center" colspan="1">Nsp12-pp1ab (RdRp)</td>
<td valign="top" align="center" rowspan="1" colspan="1">15146–15164</td>
<td valign="top" align="center" rowspan="1" colspan="1">Sense</td>
<td rowspan="2" valign="top" align="center" colspan="1">88</td>
<td valign="top" align="center" rowspan="1" colspan="1">TAAG<bold>TT</bold>
T<bold>T</bold>
ATGGCGGCTGG</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">15213–15233</td>
<td valign="top" align="center" rowspan="1" colspan="1">Antisense</td>
<td valign="top" colspan="1" align="center" rowspan="1">TTTAGGATAGT<bold>CCC</bold>
AACCCAT</td>
</tr>
<tr><td rowspan="2" valign="top" align="left" scope="row" colspan="1">Nsp14 primer</td>
<td rowspan="2" valign="top" align="center" colspan="1">ORF 1b</td>
<td rowspan="2" valign="top" align="center" colspan="1">Nsp14-pp1ab (nuclease ExoN homolog)</td>
<td valign="top" align="center" rowspan="1" colspan="1">19113–19138</td>
<td valign="top" align="center" rowspan="1" colspan="1">Sense</td>
<td rowspan="2" valign="top" align="center" colspan="1">137</td>
<td valign="top" align="center" rowspan="1" colspan="1">TGTTTG<bold>TTTT</bold>
GGAATTGTAATGTTGA</td>
</tr>
<tr><td valign="top" colspan="1" align="center" scope="row" rowspan="1">19225–19249</td>
<td valign="top" align="center" rowspan="1" colspan="1">Antisense</td>
<td valign="top" colspan="1" align="center" rowspan="1">TGGAATGCATGC<bold>TT</bold>
A<bold>TT</bold>
AACATACA</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p>*All coordinates are based on SARS TOR2 genome (GenBank accession no. NC_004718.3). 5′ propynyl-modified pyrimidine nucleotides are shown in <bold>bold</bold>
. Each primer was designed to include a thymidine (T) nucleotide on the 5′ end to minimize addition of nontemplated adenosine (A) during polymerase chain reaction (PCR) (data not shown). RdRp, RNA-dependent RNA polymerase.</p>
</table-wrap-foot>
</table-wrap>
<p>For each primer region, a database of expected base compositions (A, G, C, and T base counts) from all known CoV sequences in GenBank was generated (data not shown) and used in the identification and classification of the test isolates. Several of the isolates used in this study did not have a genome sequence record in GenBank. Experimentally measured base compositions from these isolates were independently verified by sequencing ≈500 base pair (bp) regions that flanked both target regions used in this study (GenBank accession nos.AY874541 and AY878317-AY878324).</p>
</sec>
<sec><title>RNA Extraction, Reverse Transcription, and PCR</title>
<p>RNA was isolated from 250 μL of CoV-infected cells or culture supernatant spiked with 3 μg of sheared poly-A DNA using Trizol or Trizol LS, respectively (Invitrogen Inc., Carlsbad, CA, USA) according to the manufacturer’s protocol. Reverse transcription was performed by mixing 10 μL of the purified RNA with 5 μL of water treated with diethyl pyrocarbonate (DEPC, Sigma-Aldrich Co., St. Louis, MO, USA) containing 500 ng random primers, 1 μg of sheared poly-A DNA, and 10 U SUPERaseIn (Ambion Inc., Woodlands, TX, USA). The mixture was heated to 60°C for 5 min and then cooled to 4°C. Following the annealing of the random primers to the RNA, 20 μL of first-strand reaction mix consisting of 2x first-strand buffer (Invitrogen Inc.), 10 mmol/L DTT, 500 µmol/L deoxynucleoside triphosphates (dNTPs), and 7.5 U SuperScript II was added to the RNA primer mixture. The RNA was reversed transcribed for 45 min at 45°C. Various dilutions of the reverse transcription reaction mixes were used directly in the PCR reactions.</p>
<p>All PCR reactions were performed in 50 μL with 96-well microtiter plates and M.J. Dyad thermocyclers (MJ Research, Waltham, MA, USA). The PCR reaction buffer consisted of 4 U Amplitaq Gold (Applied Biosystems, Foster City, CA USA), 1x buffer II (Applied Biosystems, Foster City, CA, USA), 2.0 mmol/L MgCl<sub>2</sub>
, 0.4 mol/L betaine, 800 μmol/L dNTP mix, and 250 nmol/L propyne-containing PCR primers. The following PCR conditions were used to amplify CoV sequences: 95°C for 10 min followed by 50 cycles of 95°C for 30 s, 50°C for 30 s, and 72°C for 30 s. After PCR, the amplified products were desalted before analysis by electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR-MS) by methods described previously (<xref ref-type="bibr" rid="R21"><italic>21</italic>
</xref>
). A small oligonucleotide SH2 (CGTGCATGGCGG, Synthetic Genetics, San Diego, CA, USA) was added as an internal mass standard (<xref ref-type="bibr" rid="R22"><italic>22</italic>
</xref>
); the final concentration of SH2 was 50 nmol/L.</p>
</sec>
<sec><title>Mass Spectrometry and Signal Processing</title>
<p>The mass spectrometer used in this work is based on a Bruker Daltonics (Billerica, MA, USA) Apex II 70e ESI-FTICR-MS that used an actively shielded 7 Tesla superconducting magnet. All aspects of pulse sequence control and data acquisition were performed on a 1.1 GHz Pentium II data station running Bruker’s Xmass software (Bruker Daltonics). Inputs to the signal processor are the raw mass spectra for each of the parallel PCR reactions used to analyze a single sample. The ICR-2LS software package (<xref ref-type="bibr" rid="R23"><italic>23</italic>
</xref>
) was used to deconvolute the mass spectra and calculate the mass of the monoisotopic species using an “averagine” fitting routine (<xref ref-type="bibr" rid="R24"><italic>24</italic>
</xref>
) modified for DNA (Drader et al., unpub. data). Using this approach, monoisotopic molecular weights were calculated. The spectral signals were algorithmically processed to yield base composition data as described previously (<xref ref-type="bibr" rid="R25"><italic>25</italic>
</xref>
). The amplitudes of the spectra are calibrated to indicate the number of molecules detected in the mass spectrometer; m/z and the m/z values are corrected by using internal mass standards. The algorithm computes the organism’s identity and abundances consistent with observations over all the PCR reactions run on the input sample.</p>
</sec>
</sec>
<sec><title>Results and Discussion</title>
<sec><title>Detection of Individual CoV Isolates</title>
<p>For broad-range detection of all CoV, the 2 PCR primer target regions shown in <xref ref-type="table" rid="T2">Table 2</xref>
were used against each virus listed in <xref ref-type="table" rid="T1">Table 1</xref>
. Resultant products were desalted and analyzed by FTICR-MS by methods described previously (<xref ref-type="bibr" rid="R21"><italic>21</italic>
</xref>
). The spectral signals were algorithmically processed to yield base composition data. <xref ref-type="fig" rid="F1">Figure 1</xref>
shows a schematic representation of electrospray ionization, strand separation, and the actual charge state distributions of the separated sense and antisense strands of the PCR products from the RdRp primer pair for SARS-CoV. Due to the accuracy of FTICR-MS (mass measurement error ± 1 ppm), all detected masses could be unambiguously converted to the base compositions of sense and antisense strands (<xref ref-type="bibr" rid="R25"><italic>25</italic>
</xref>
).</p>
<fig id="F1" fig-type="figure" position="float"><label>Figure 1</label>
<caption><p>Electrospray ionization Fourier transfer ion cyclotron resonance (ESI-FTICR) mass spectrum from the polymerase chain reaction (PCR) amplicons from the severe acute respiratory syndrome (SARS)-associated coronavirus obtained with the propynylated RNA-dependent RNA polymerase primer pairs. The electrospray ionization conditions separate the sense and antisense strands of the PCR products. Multiple charge states are observed across the m/z range shown. The inset shows an expanded view of the isotope envelope of the (M-27H+)27- species. As enumerated in <xref ref-type="table" rid="T1">Table 1</xref>
, the derived molecular masses for the amplicon strands are 27298.518 (+ 0.03) Da and 27125.542 (+ 0.03) Da, corresponding to an unambiguous base composition of A27G19C14T28/ A28G14C19T27 for the double-stranded amplicon, the composition expected for the SARS isolate.</p>
</caption>
<graphic xlink:href="04-0629-F1"></graphic>
</fig>
<p>One of the limitations of all molecular methods for detecting pathogens, including the one described here, is that unexpected variations in PCR primer target sequences in unknown species can lead to missed detection. To minimize this possibility, the primers designed in this study were selected on the basis of highly conserved regions identified by multiple sequence alignments of all previously known CoV species sequences. Further, we chose 2 amplification targets for redundant detection of the CoV and to have increased resolution to distinguish the different viral species. Both primer pairs were tested against multiple isolates from the 3 previously known CoV species groups and from SARS-CoV isolates.</p>
<p>The results from analysis of 14 CoV isolates are shown in <xref ref-type="table" rid="T1">Table 1</xref>
. For both target regions, the measured signals agreed with compositions expected from the known CoV sequences in GenBank (data not shown). Several of the isolates used in this study did not have a genome sequence record in GenBank. Nevertheless, we were able to amplify all test viruses and experimentally determine their base compositions. These experimentally determined base compositions were confirmed by sequencing (data not shown). Thus the strategy described here enables identification of organisms without the need for prior knowledge of the sequence, provided that the broad range primers do not fail to amplify the target because of excessive numbers of mismatches.</p>
</sec>
<sec><title>Multiple CoV Isolates in Mixture</title>
<p>To demonstrate the potential to detect multiple viruses in the same sample, as might occur during a coinfection, we pooled the viral extracts from 3 human CoV, HCoV-229E, HCoV-OC43, and SARS-CoV, and analyzed the mixture. Signals from all 3 viruses were clearly detected and resolved in the mass spectra (<xref ref-type="fig" rid="F2">Figure 2</xref>
), which demonstrated that coinfections of >1 CoV species could be identified. We have previously determined that the system can reliably detect multiple species in ratios of ≈1:1000, while varying input loads from 10 to 10,000 organisms (data not shown).</p>
<fig id="F2" fig-type="figure" position="float"><label>Figure 2</label>
<caption><p>Detection of 3 human coronavirus (CoV) in a mixture. The deconvoluted (neutral mass) mass spectra obtained for the RNA-dependent RNA polymerase primer for the 3 human CoV, HCoV-229E, HCoV-OC43, and severe acute respiratory syndrome–associated CoV, which were tested individually and in a mixture are shown. Forward and reverse amplicons are shown with the measured monoisotopic masses for each strand. Colors of the monoisotopic masses for the mixed spectra correspond to the individual viral species.</p>
</caption>
<graphic xlink:href="04-0629-F2"></graphic>
</fig>
</sec>
<sec><title>Sensitivity</title>
<p>To determine sensitivity in a clinical sample, viable, titered SARS-CoV was added to human serum and analyzed in 2 ways. In the first, RNA was isolated from serum containing 2 concentrations of the virus (1.7 x 10<sup>5</sup>
and 170 PFU/mL), reverse transcribed to cDNA with random primers, and serially diluted (10-fold), before PCR amplification with both RdRp and Nsp14 primer sets. By using this approach, the assay was sensitive to ≈10<sup>2</sup>
PFU per PCR reaction (≈1.7 PFU/mL serum). We estimated the number of reverse-transcribed SARS genomes by competitive, quantitative PCR with a nucleic acid internal standard (data not shown). Analysis of ratios of mass spectral peak heights of titrations of the internal standard and the SARS cDNA showed that ≈300 reverse-transcribed viral genomes were present per PFU, similar to the ratio of viral genome copies per PFU previously reported for RNA viruses (<xref ref-type="bibr" rid="R26"><italic>26</italic>
</xref>
). By using this estimate, PCR primers were sensitive to 3 genome equivalents per PCR reaction, which is consistent with previously reported detection limits for optimized SARS-specific primers (<xref ref-type="bibr" rid="R27"><italic>27</italic>
</xref>
,<xref ref-type="bibr" rid="R28"><italic>28</italic>
</xref>
). In the second method, we spiked 10-fold dilutions of the SARS virus into serum before RT-PCR and could reliably detect 1 PFU (≈300 genomes) per PCR reaction or 170 PFU (5.1 x 10<sup>4</sup>
genomes) per mL serum. The discrepancy between the detection sensitivities in the 2 experimental protocols described above suggests that losses were associated with RNA extraction and reverse transcription when very little virus was present (<300 genome copies) in the starting sample in serum. This finding is consistent with results for direct measurement of RNA viruses from patient samples (<xref ref-type="bibr" rid="R26"><italic>26</italic>
</xref>
). Therefore, in a practical experimental analysis of a tissue sample, the limit of sensitivity was ≈1 PFU per PCR reaction.</p>
</sec>
<sec><title>RNA Virus Classification with Base Compositions</title>
<p>We have described a novel approach using base composition analysis for viral identification. However, since RNA virus nucleotide sequences mutate over time within the functional constraints allowed by selection pressure (<xref ref-type="bibr" rid="R29"><italic>29</italic>
</xref>
), the utility of this method to correctly classify RNA viruses depends on the resolution needed for a particular application. We considered 2 specific applications. The first was to distinguish SARS-CoV from other species of CoV that infect humans, namely HCoV-OC43 and HCoV-229E. The second application was the utility of the technique for exploration of animal reservoirs for the discovery of SARS-related CoV species.</p>
<p>To quantitatively analyze the resolving power of base compositions, we mathematically modeled base composition variations using known sequences of multiple isolates of hepatitis C virus (HCV) in GenBank (H. Levene, et al., unpub. data). HCV sequence-derived mutation probabilities were used to estimate the extent of base composition variations for CoV species. <xref ref-type="fig" rid="F3">Figure 3</xref>
shows a plot of the base compositions for the RdRp target region for the 3 CoV known to infect humans. Δ<sub>bc</sub>
represents the net changes in composition required for strain variants of 229E or OC43 to be misidentified as SARS, and Δ<sub>m</sub>
the probability of occurrence of these changes. The cumulative probability of misclassifying either 229E or OC43 as SARS by using base composition measurements from both target regions was low (Δ<sub>m</sub>
>10), even allowing for unseen variations in those 2 viruses. Thus, for use in human clinical diagnostics, base composition analysis of the 2 target regions described here would provide corroborative information and accurate species identification of CoV infections.</p>
<fig id="F3" fig-type="figure" position="float"><label>Figure 3</label>
<caption><p>Spatial representation of base compositions for the 3 coronavirus (CoV) species known to infect humans. Severe acute respiratory syndrome (SARS), HCoV-OC43, and HCoV-229E base compositions in the region amplified by RNA-dependent RNA polymerase primers (<xref ref-type="table" rid="T1">Table 1</xref>
) are plotted on the A, G, and C axes. T counts are shown by the tilt of the symbol. Within a species, all known isolates of each virus (37 isolates for SARS, 4 for HCoV-229E, and 2 for OC43) had identical sequences in this region. Δ<sub>bc</sub>
represents the number of changes in the A, G, C, and T bases needed for 1 species to be misidentified as another in the direction of the arrow. Δ<sub>m</sub>
represents the pairwise mutation distance between 2 species, or the cumulative probability of Δ<sub>bc</sub>
occurring.</p>
</caption>
<graphic xlink:href="04-0629-F3"></graphic>
</fig>
<p>To determine the utility of base composition analysis in the search for animal CoV species, we calculated the cumulative mutation distances for both target regions for all known CoV and plotted groups where all members fall within certain probability thresholds, as shown in <xref ref-type="fig" rid="F4">Figure 4</xref>
. A series of nested ovals represents subgroupings of species, where the maximal distance between known members of a subgroup is represented by the Δ<sub>m</sub>
next to the oval. By using the above classification metric, SARS-CoV would be considered the first member of a new group of CoV, not a member of the core group 2 cluster, although it would be placed closest to group 2 (Δ<sub>m</sub>
< 10.2). These findings are similar to those recently described by Snijder et al., who used sequence data from the replicase genes (5,487 bp) in ORF1b and suggested that the SARS-CoV was most closely related to and possibly an early split-off from group 2 CoV (<xref ref-type="bibr" rid="R20"><italic>20</italic>
</xref>
). However, substantial space exists around SARS-CoV where as yet undiscovered SARS-CoV could populate a subgroup without being confused with the group 2 or other CoV.</p>
<fig id="F4" fig-type="figure" position="float"><label>Figure 4</label>
<caption><p>Representation of the mutational distances calculated for the 2 selected primer sets overlaid on the coronavirus phylogenetic tree. Each oval represents grouping of members contained within it; numbers next to the group indicate the maximum distance between any 2 members of the group. Distances are computed as the base 10 logarithm of the geometric average of the pair-wise probabilities for any given pair of base compositions.</p>
</caption>
<graphic xlink:href="04-0629-F4"></graphic>
</fig>
</sec>
</sec>
<sec><title>Conclusion</title>
<p>The strategy we describe allows rapid identification of new viral species members of previously characterized viral families, without the need for prior knowledge of their sequence, through use of integrated electrospray ionization mass spectrometry and base composition analysis of broad-range PCR products. Broad-range PCR reactions are capable of producing products from groups of organisms, rather than single species, and the information content of each PCR reaction is potentially very high. Further, in many cases, including the SARS-CoV detection described in this article, priming across broadly conserved regions provides adequate species detection and taxonomic resolution. In cases where additional subspecies level classification becomes important, broad primers can be followed up with more species-specific primers that can detect even single nucleotide changes (SNPs) or alternatively, larger regions of the identified species can be analyzed by sequencing. Despite the advances in high throughput sequencing, however, it is impractical as a front-end detector in a routine survey and detection setting. The mass spectrometer is capable of analyzing complex PCR products at a rate of ≈1 minute per sample. Because the process is performed in an automated, microtiter plate format, large numbers of samples can be examined (>900 PCR reactions/day/instrument), which makes this process practical for large-scale analysis of clinical or environmental surveillance samples in public health laboratory settings. The current generations of ESI mass spectrometers used in the detector cost approximately U.S.$150,000 and can be operated 24 hours per day by trained technicians. Tools for analyzing mass spectrometry data are widely available and are described in detail elsewhere (<xref ref-type="bibr" rid="R23"><italic>23</italic>
</xref>
–<xref ref-type="bibr" rid="R25"><italic>25</italic>
</xref>
). A comparable alternative to the methods described here are microarrays, which can also provide broad range detection.</p>
<p>This approach can be extended to other viral, bacterial, fungal, or protozoal pathogen groups and is a powerful new paradigm for timely identification of previously unknown organisms that cause disease in humans or animals and for monitoring the progress of epidemics.</p>
</sec>
</body>
<back><fn-group><fn fn-type="citation"><p><italic>Suggested citation for this article</italic>
: Sampath R, Hofstadler SA, Blyn LB, Eshoo MW, Hall TA, Massire C, et al. Rapid identification of emerging pathogens: coronavirus. Emerg Infect Dis [serial on the Internet]. 2005 Mar [<italic>date cited</italic>
]. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.3201/eid1103.040629">http://dx.doi.org/10.3201/eid1103.040629</ext-link>
</p>
</fn>
</fn-group>
<ack><p>This study used platform technology that was funded in part by the Department of Defense through its DARPA Special Projects Office for the development of TIGER Technology, under contract MDA972-00-C-0053; patents are currently pending in the United States and internationally. Additional funding and support was provided by grants from the National Institutes of Health, AI 25913 to M.B., and T32 NS 41219 to B.N. All authors, with the exception of M.B. and B.N., are employees and stockholders of Isis Pharmaceuticals, Inc.</p>
</ack>
<bio><p>Dr. Sampath is the director of Genomics and Computational Biology at Ibis Therapeutics, a division of Isis Pharmaceuticals, Inc. He leads Ibis’ genomics efforts in microbial detection and diagnosis. His research interests include pathogen discovery, epidemiologic surveillance, and clinical infectious diagnostics.</p>
</bio>
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