Relationship of SARS-CoV to other pathogenic RNA viruses explored by tetranucleotide usage profiling
Identifieur interne : 000078 ( France/Analysis ); précédent : 000077; suivant : 000079Relationship of SARS-CoV to other pathogenic RNA viruses explored by tetranucleotide usage profiling
Auteurs : Yee Leng Yap [Hong Kong] ; Xue Wu Zhang [Hong Kong] ; Antoine Danchin [France]Source :
- BMC Bioinformatics [ 1471-2105 ] ; 2003.
Abstract
The exact origin of the cause of the Severe Acute Respiratory Syndrome (SARS) is still an open question. The genomic sequence relationship of SARS-CoV with 30 different single-stranded RNA (
Both approaches yielded relationship outcomes that are consistent with the known virus classification. They also indicated that the genome of RNA viruses from the same family conform to a specific pattern of word usage. Based on the correlation of the overall tetra-nucleotide usage patterns, the Transmissible Gastroenteritis Virus (TGV) and the Feline CoronaVirus (FCoV) are closest to SARS-CoV. Surprisingly also, the RNA viruses that do not go through a DNA stage displayed a remarkable discrimination against the CpG and UpA di-nucleotide (
The study of genomic word usage is a powerful method to classify RNA viruses. The congruence of the relationship outcomes with the known classification indicates that there exist phylogenetic signals in the tetra-nucleotide usage patterns, that is most prominent in the replicase open reading frames.
The online version of this article (doi:10.1186/1471-2105-4-43) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/1471-2105-4-43
PubMed: 14499005
PubMed Central: 222961
Affiliations:
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PMC:222961Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>The exact origin of the cause of the Severe Acute Respiratory Syndrome (SARS) is still an open question. The genomic sequence relationship of SARS-CoV with 30 different single-stranded RNA (<italic>ss</italic>
RNA) viruses of various families was studied using two non-standard approaches. Both approaches began with the vectorial profiling of the tetra-nucleotide usage pattern <italic>V</italic>
for each virus. In approach one, a distance measure of a vector <italic>V</italic>
, based on correlation coefficient was devised to construct a relationship tree by the neighbor-joining algorithm. In approach two, a multivariate factor analysis was performed to derive the embedded tetra-nucleotide usage patterns. These patterns were subsequently used to classify the selected viruses.</p>
</sec>
<sec><title>Results</title>
<p>Both approaches yielded relationship outcomes that are consistent with the known virus classification. They also indicated that the genome of RNA viruses from the same family conform to a specific pattern of word usage. Based on the correlation of the overall tetra-nucleotide usage patterns, the Transmissible Gastroenteritis Virus (TGV) and the Feline CoronaVirus (FCoV) are closest to SARS-CoV. Surprisingly also, the RNA viruses that do not go through a DNA stage displayed a remarkable discrimination against the CpG and UpA di-nucleotide (<italic>z</italic>
= -77.31, -52.48 respectively) and selection for UpG and CpA (<italic>z</italic>
= 65.79,49.99 respectively). Potential factors influencing these biases are discussed.</p>
</sec>
<sec><title>Conclusion</title>
<p>The study of genomic word usage is a powerful method to classify RNA viruses. The congruence of the relationship outcomes with the known classification indicates that there exist phylogenetic signals in the tetra-nucleotide usage patterns, that is most prominent in the replicase open reading frames.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/1471-2105-4-43) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
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</TEI>
<affiliations><list><country><li>France</li>
<li>Hong Kong</li>
</country>
<region><li>Île-de-France</li>
</region>
<settlement><li>Paris</li>
</settlement>
</list>
<tree><country name="Hong Kong"><noRegion><name sortKey="Yap, Yee Leng" sort="Yap, Yee Leng" uniqKey="Yap Y" first="Yee Leng" last="Yap">Yee Leng Yap</name>
</noRegion>
<name sortKey="Zhang, Xue Wu" sort="Zhang, Xue Wu" uniqKey="Zhang X" first="Xue Wu" last="Zhang">Xue Wu Zhang</name>
</country>
<country name="France"><region name="Île-de-France"><name sortKey="Danchin, Antoine" sort="Danchin, Antoine" uniqKey="Danchin A" first="Antoine" last="Danchin">Antoine Danchin</name>
</region>
</country>
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</affiliations>
</record>
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