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Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes

Identifieur interne : 001026 ( Main/Exploration ); précédent : 001025; suivant : 001027

Sequence element enrichment analysis to determine the genetic basis of bacterial phenotypes

Auteurs : John A. Lees [Royaume-Uni] ; Minna Vehkala [Finlande] ; Niko V Lim Ki [Finlande] ; Simon R. Harris [Royaume-Uni] ; Claire Chewapreecha [Royaume-Uni] ; Nicholas J. Croucher [Royaume-Uni] ; Pekka Marttinen [Finlande] ; Mark R. Davies [Australie] ; Andrew C. Steer [Australie] ; Steven Y. C. Tong [Australie] ; Antti Honkela [Finlande] ; Julian Parkhill [Royaume-Uni] ; Stephen D. Bentley [Royaume-Uni] ; Jukka Corander [Royaume-Uni, Finlande, Norvège]

Source :

RBID : PMC:5028413

Descripteurs français

English descriptors

Abstract

Bacterial genomes vary extensively in terms of both gene content and gene sequence. This plasticity hampers the use of traditional SNP-based methods for identifying all genetic associations with phenotypic variation. Here we introduce a computationally scalable and widely applicable statistical method (SEER) for the identification of sequence elements that are significantly enriched in a phenotype of interest. SEER is applicable to tens of thousands of genomes by counting variable-length k-mers using a distributed string-mining algorithm. Robust options are provided for association analysis that also correct for the clonal population structure of bacteria. Using large collections of genomes of the major human pathogens Streptococcus pneumoniae and Streptococcus pyogenes, SEER identifies relevant previously characterized resistance determinants for several antibiotics and discovers potential novel factors related to the invasiveness of S. pyogenes. We thus demonstrate that our method can answer important biologically and medically relevant questions.


Url:
DOI: 10.1038/ncomms12797
PubMed: 27633831
PubMed Central: 5028413


Affiliations:


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Le document en format XML

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, London W2 1NY,
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</nlm:aff>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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, Espoo FI-00076,
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<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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</nlm:aff>
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<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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, Cambridge CB10 1SA,
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<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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, Helsinki FI-00014,
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</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
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, 0317 Oslo,
<country>Norway</country>
</nlm:aff>
<country xml:lang="fr">Norvège</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
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<term>Genome, Bacterial</term>
<term>Genome-Wide Association Study</term>
<term>Models, Genetic</term>
<term>Nucleic Acid Amplification Techniques</term>
<term>Streptococcus pneumoniae (genetics)</term>
<term>Streptococcus pyogenes (genetics)</term>
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<term>Simulation numérique</term>
<term>Streptococcus pneumoniae (génétique)</term>
<term>Streptococcus pyogenes (génétique)</term>
<term>Techniques d'amplification d'acides nucléiques</term>
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<div type="abstract" xml:lang="en">
<p>Bacterial genomes vary extensively in terms of both gene content and gene sequence. This plasticity hampers the use of traditional SNP-based methods for identifying all genetic associations with phenotypic variation. Here we introduce a computationally scalable and widely applicable statistical method (SEER) for the identification of sequence elements that are significantly enriched in a phenotype of interest. SEER is applicable to tens of thousands of genomes by counting variable-length k-mers using a distributed string-mining algorithm. Robust options are provided for association analysis that also correct for the clonal population structure of bacteria. Using large collections of genomes of the major human pathogens
<italic>Streptococcus pneumoniae</italic>
and
<italic>Streptococcus pyogenes</italic>
, SEER identifies relevant previously characterized resistance determinants for several antibiotics and discovers potential novel factors related to the invasiveness of
<italic>S. pyogenes</italic>
. We thus demonstrate that our method can answer important biologically and medically relevant questions.</p>
</div>
</front>
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</TEI>
<affiliations>
<list>
<country>
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<li>Finlande</li>
<li>Norvège</li>
<li>Royaume-Uni</li>
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<name sortKey="Chewapreecha, Claire" sort="Chewapreecha, Claire" uniqKey="Chewapreecha C" first="Claire" last="Chewapreecha">Claire Chewapreecha</name>
<name sortKey="Corander, Jukka" sort="Corander, Jukka" uniqKey="Corander J" first="Jukka" last="Corander">Jukka Corander</name>
<name sortKey="Croucher, Nicholas J" sort="Croucher, Nicholas J" uniqKey="Croucher N" first="Nicholas J." last="Croucher">Nicholas J. Croucher</name>
<name sortKey="Harris, Simon R" sort="Harris, Simon R" uniqKey="Harris S" first="Simon R." last="Harris">Simon R. Harris</name>
<name sortKey="Parkhill, Julian" sort="Parkhill, Julian" uniqKey="Parkhill J" first="Julian" last="Parkhill">Julian Parkhill</name>
</country>
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</noRegion>
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<name sortKey="Honkela, Antti" sort="Honkela, Antti" uniqKey="Honkela A" first="Antti" last="Honkela">Antti Honkela</name>
<name sortKey="Marttinen, Pekka" sort="Marttinen, Pekka" uniqKey="Marttinen P" first="Pekka" last="Marttinen">Pekka Marttinen</name>
<name sortKey="Marttinen, Pekka" sort="Marttinen, Pekka" uniqKey="Marttinen P" first="Pekka" last="Marttinen">Pekka Marttinen</name>
<name sortKey="V Lim Ki, Niko" sort="V Lim Ki, Niko" uniqKey="V Lim Ki N" first="Niko" last="V Lim Ki">Niko V Lim Ki</name>
</country>
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<name sortKey="Steer, Andrew C" sort="Steer, Andrew C" uniqKey="Steer A" first="Andrew C." last="Steer">Andrew C. Steer</name>
<name sortKey="Steer, Andrew C" sort="Steer, Andrew C" uniqKey="Steer A" first="Andrew C." last="Steer">Andrew C. Steer</name>
<name sortKey="Tong, Steven Y C" sort="Tong, Steven Y C" uniqKey="Tong S" first="Steven Y. C." last="Tong">Steven Y. C. Tong</name>
</country>
<country name="Norvège">
<noRegion>
<name sortKey="Corander, Jukka" sort="Corander, Jukka" uniqKey="Corander J" first="Jukka" last="Corander">Jukka Corander</name>
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