High-Throughput Genotyping of Salmonella enterica Serovar Typhi Allowing Geographical Assignment of Haplotypes and Pathotypes within an Urban District of Jakarta, Indonesia
Identifieur interne : 002A63 ( PascalFrancis/Curation ); précédent : 002A62; suivant : 002A64High-Throughput Genotyping of Salmonella enterica Serovar Typhi Allowing Geographical Assignment of Haplotypes and Pathotypes within an Urban District of Jakarta, Indonesia
Auteurs : Stephen Baker [Royaume-Uni, Viêt Nam] ; Kathryn Holt [Royaume-Uni] ; Esther Van De Vosse [Pays-Bas] ; Philippe Roumagnac [France] ; Sally Whitehead [Royaume-Uni] ; Emma King [Royaume-Uni] ; Philip Ewels [Royaume-Uni] ; Andrew Keniry [Royaume-Uni] ; Francois-Xavier Weill [France] ; Diane Lightfoot [Australie] ; Jaap T. Van Dissel [Pays-Bas] ; Kenneth E. Sanderson [Canada] ; Jeremy Farrar [Viêt Nam] ; Mark Achtman [Irlande (pays)] ; Panagiotis Deloukas [Royaume-Uni] ; Gordon Dougan [Royaume-Uni]Source :
- Journal of clinical microbiology : (Print) [ 0095-1137 ] ; 2008.
Descripteurs français
- Pascal (Inist)
- Wicri :
- geographic : Indonésie.
English descriptors
- KwdEn :
Abstract
High-throughput epidemiological typing systems that provide phylogenetic and genotypic information are beneficial for tracking bacterial pathogens in the field. The incidence of Salmonella enterica serovar Typhi infection in Indonesia is high and is associated with atypical phenotypic traits such as expression of the j and the z66 flagellum antigens. Utilizing a high-throughput genotyping platform to investigate known nucleotide polymorphisms dispersed around the genome, we determined the haplotypes of 140 serovar Typhi isolates associated with Indonesia. We identified nine distinct serovar Typhi haplotypes circulating in Indonesia for more than 30 years, with eight of these present in a single Jakarta suburb within a 2-year period. One dominant haplotype, H59, is associated with j and z66 flagellum expression, representing a potential pathotype unique to Indonesia. Phylogenetic analysis suggests that H59 z66+,j+ isolates emerged relatively recently in terms of the origin of serovar Typhi and are geographically restricted. These data demonstrate the potential of high-throughput genotyping platforms for analyzing serovar Typhi populations in the field. The study also provides insight into the evolution of serovar Typhi and demonstrates the value of a molecular epidemiological technique that is exchangeable, that is internet friendly, and that has global utility.
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">High-Throughput Genotyping of Salmonella enterica Serovar Typhi Allowing Geographical Assignment of Haplotypes and Pathotypes within an Urban District of Jakarta, Indonesia</title>
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<author><name sortKey="King, Emma" sort="King, Emma" uniqKey="King E" first="Emma" last="King">Emma King</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>The Wellcome Trust Sanger Institute</s1>
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<author><name sortKey="Sanderson, Kenneth E" sort="Sanderson, Kenneth E" uniqKey="Sanderson K" first="Kenneth E." last="Sanderson">Kenneth E. Sanderson</name>
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<author><name sortKey="Farrar, Jeremy" sort="Farrar, Jeremy" uniqKey="Farrar J" first="Jeremy" last="Farrar">Jeremy Farrar</name>
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<author><name sortKey="Deloukas, Panagiotis" sort="Deloukas, Panagiotis" uniqKey="Deloukas P" first="Panagiotis" last="Deloukas">Panagiotis Deloukas</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>The Wellcome Trust Sanger Institute</s1>
<s2>Hinxton, Cambridgeshire</s2>
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<country>Royaume-Uni</country>
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<author><name sortKey="Dougan, Gordon" sort="Dougan, Gordon" uniqKey="Dougan G" first="Gordon" last="Dougan">Gordon Dougan</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>The Wellcome Trust Sanger Institute</s1>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Genotype</term>
<term>Haplotype</term>
<term>High throughput screening</term>
<term>Indonesia</term>
<term>Microbiology</term>
<term>Pathotype</term>
<term>Salmonella typhi</term>
<term>Typing</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Salmonella typhi</term>
<term>Criblage haut débit</term>
<term>Génotype</term>
<term>Typage</term>
<term>Haplotype</term>
<term>Pathotype</term>
<term>Indonésie</term>
<term>Microbiologie</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Indonésie</term>
</keywords>
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</teiHeader>
<front><div type="abstract" xml:lang="en">High-throughput epidemiological typing systems that provide phylogenetic and genotypic information are beneficial for tracking bacterial pathogens in the field. The incidence of Salmonella enterica serovar Typhi infection in Indonesia is high and is associated with atypical phenotypic traits such as expression of the j and the z66 flagellum antigens. Utilizing a high-throughput genotyping platform to investigate known nucleotide polymorphisms dispersed around the genome, we determined the haplotypes of 140 serovar Typhi isolates associated with Indonesia. We identified nine distinct serovar Typhi haplotypes circulating in Indonesia for more than 30 years, with eight of these present in a single Jakarta suburb within a 2-year period. One dominant haplotype, H59, is associated with j and z66 flagellum expression, representing a potential pathotype unique to Indonesia. Phylogenetic analysis suggests that H59 z66<sup>+</sup>
,j<sup>+</sup>
isolates emerged relatively recently in terms of the origin of serovar Typhi and are geographically restricted. These data demonstrate the potential of high-throughput genotyping platforms for analyzing serovar Typhi populations in the field. The study also provides insight into the evolution of serovar Typhi and demonstrates the value of a molecular epidemiological technique that is exchangeable, that is internet friendly, and that has global utility.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0095-1137</s0>
</fA01>
<fA02 i1="01"><s0>JCMIDW</s0>
</fA02>
<fA03 i2="1"><s0>J. clin. microbiol. : (Print)</s0>
</fA03>
<fA05><s2>46</s2>
</fA05>
<fA06><s2>5</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>High-Throughput Genotyping of Salmonella enterica Serovar Typhi Allowing Geographical Assignment of Haplotypes and Pathotypes within an Urban District of Jakarta, Indonesia</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>BAKER (Stephen)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>HOLT (Kathryn)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>VAN DE VOSSE (Esther)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>ROUMAGNAC (Philippe)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>WHITEHEAD (Sally)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>KING (Emma)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>EWELS (Philip)</s1>
</fA11>
<fA11 i1="08" i2="1"><s1>KENIRY (Andrew)</s1>
</fA11>
<fA11 i1="09" i2="1"><s1>WEILL (Francois-Xavier)</s1>
</fA11>
<fA11 i1="10" i2="1"><s1>LIGHTFOOT (Diane)</s1>
</fA11>
<fA11 i1="11" i2="1"><s1>VAN DISSEL (Jaap T.)</s1>
</fA11>
<fA11 i1="12" i2="1"><s1>SANDERSON (Kenneth E.)</s1>
</fA11>
<fA11 i1="13" i2="1"><s1>FARRAR (Jeremy)</s1>
</fA11>
<fA11 i1="14" i2="1"><s1>ACHTMAN (Mark)</s1>
</fA11>
<fA11 i1="15" i2="1"><s1>DELOUKAS (Panagiotis)</s1>
</fA11>
<fA11 i1="16" i2="1"><s1>DOUGAN (Gordon)</s1>
</fA11>
<fA14 i1="01"><s1>The Wellcome Trust Sanger Institute</s1>
<s2>Hinxton, Cambridgeshire</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>15 aut.</sZ>
<sZ>16 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Oxford University Clinical Research Unit</s1>
<s2>Ho Chi Minh City</s2>
<s3>VNM</s3>
<sZ>1 aut.</sZ>
<sZ>13 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Department of Infectious Diseases, Leiden University Medical Centre</s1>
<s2>Leiden</s2>
<s3>NLD</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Centre National de la Recherche Scientifique</s1>
<s2>Saint Paul Lez Durance</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Centre National de Référence des Salmonella, Institut Pasteur</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>9 aut.</sZ>
</fA14>
<fA14 i1="06"><s1>Microbiological Diagnostic Unit-Public Health Laboratory, University of Melbourne</s1>
<s2>Melbourne, Vtctoria</s2>
<s3>AUS</s3>
<sZ>10 aut.</sZ>
</fA14>
<fA14 i1="07"><s1>Department of Biological Sciences, University of Calgary</s1>
<s2>Calgary, Alberta</s2>
<s3>CAN</s3>
<sZ>12 aut.</sZ>
</fA14>
<fA14 i1="08"><s1>Environmental Research Institute, University College Cork</s1>
<s2>Cork</s2>
<s3>IRL</s3>
<sZ>14 aut.</sZ>
</fA14>
<fA20><s1>1741-1746</s1>
</fA20>
<fA21><s1>2008</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>17088</s2>
<s5>354000183109960260</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2008 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>31 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>08-0251112</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Journal of clinical microbiology : (Print)</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>High-throughput epidemiological typing systems that provide phylogenetic and genotypic information are beneficial for tracking bacterial pathogens in the field. The incidence of Salmonella enterica serovar Typhi infection in Indonesia is high and is associated with atypical phenotypic traits such as expression of the j and the z66 flagellum antigens. Utilizing a high-throughput genotyping platform to investigate known nucleotide polymorphisms dispersed around the genome, we determined the haplotypes of 140 serovar Typhi isolates associated with Indonesia. We identified nine distinct serovar Typhi haplotypes circulating in Indonesia for more than 30 years, with eight of these present in a single Jakarta suburb within a 2-year period. One dominant haplotype, H59, is associated with j and z66 flagellum expression, representing a potential pathotype unique to Indonesia. Phylogenetic analysis suggests that H59 z66<sup>+</sup>
,j<sup>+</sup>
isolates emerged relatively recently in terms of the origin of serovar Typhi and are geographically restricted. These data demonstrate the potential of high-throughput genotyping platforms for analyzing serovar Typhi populations in the field. The study also provides insight into the evolution of serovar Typhi and demonstrates the value of a molecular epidemiological technique that is exchangeable, that is internet friendly, and that has global utility.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A05B15</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Salmonella typhi</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Salmonella typhi</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Salmonella typhi</s0>
<s2>NS</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Criblage haut débit</s0>
<s5>05</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>High throughput screening</s0>
<s5>05</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Cribado alta productividad</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Génotype</s0>
<s5>06</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Genotype</s0>
<s5>06</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Genotipo</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Typage</s0>
<s5>07</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Typing</s0>
<s5>07</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Tipificación</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Haplotype</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Haplotype</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Haplotipo</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Pathotype</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Pathotype</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Patotipo</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Indonésie</s0>
<s2>NG</s2>
<s5>10</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Indonesia</s0>
<s2>NG</s2>
<s5>10</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Indonesia</s0>
<s2>NG</s2>
<s5>10</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Microbiologie</s0>
<s5>11</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Microbiology</s0>
<s5>11</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Microbiología</s0>
<s5>11</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Enterobacteriaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Enterobacteriaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Enterobacteriaceae</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Bactérie</s0>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Bacteria</s0>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Bacteria</s0>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Asie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fN21><s1>162</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>
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