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Bioaerosols in the Barcelona subway system.

Identifieur interne : 000110 ( Main/Exploration ); précédent : 000109; suivant : 000111

Bioaerosols in the Barcelona subway system.

Auteurs : X. Triad Margarit [Espagne] ; M. Veillette [Canada] ; C. Duchaine [Canada] ; M. Talbot [Canada] ; F. Amato [Espagne] ; M C Minguill N [Espagne] ; V. Martins [Espagne] ; E. De Miguel [Espagne] ; E O Casamayor [Espagne] ; T. Moreno [Espagne]

Source :

RBID : pubmed:27687789

Descripteurs français

English descriptors

Abstract

Subway systems worldwide transport more than 100 million people daily; therefore, air quality on station platforms and inside trains is an important urban air pollution issue. We examined the microbiological composition and abundance in space and time of bioaerosols collected in the Barcelona subway system during a cold period. Quantitative PCR was used to quantify total bacteria, Aspergillus fumigatus, influenza A and B, and rhinoviruses. Multitag 454 pyrosequencing of the 16S rRNA gene was used to assess bacterial community composition and biodiversity. The results showed low bioaerosol concentrations regarding the targeted microorganisms, although the bacterial bioburden was rather high (104 bacteria/m3 ). Airborne bacterial communities presented a high degree of overlap among the different subway environments sampled (inside trains, platforms, and lobbies) and were dominated by a few widespread taxa, with Methylobacterium being the most abundant genus. Human-related microbiota in sequence dataset and ascribed to potentially pathogenic bacteria were found in low proportion (maximum values below 2% of sequence readings) and evenly detected. Hence, no important biological exposure marker was detected in any of the sampled environments. Overall, we found that commuters are not the main source of bioaerosols in the Barcelona subway system.

DOI: 10.1111/ina.12343
PubMed: 27687789


Affiliations:


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Le document en format XML

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<term>Bacteria (isolation & purification)</term>
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<div type="abstract" xml:lang="en">Subway systems worldwide transport more than 100 million people daily; therefore, air quality on station platforms and inside trains is an important urban air pollution issue. We examined the microbiological composition and abundance in space and time of bioaerosols collected in the Barcelona subway system during a cold period. Quantitative PCR was used to quantify total bacteria, Aspergillus fumigatus, influenza A and B, and rhinoviruses. Multitag 454 pyrosequencing of the 16S rRNA gene was used to assess bacterial community composition and biodiversity. The results showed low bioaerosol concentrations regarding the targeted microorganisms, although the bacterial bioburden was rather high (10
<sup>4</sup>
bacteria/m
<sup>3</sup>
). Airborne bacterial communities presented a high degree of overlap among the different subway environments sampled (inside trains, platforms, and lobbies) and were dominated by a few widespread taxa, with Methylobacterium being the most abundant genus. Human-related microbiota in sequence dataset and ascribed to potentially pathogenic bacteria were found in low proportion (maximum values below 2% of sequence readings) and evenly detected. Hence, no important biological exposure marker was detected in any of the sampled environments. Overall, we found that commuters are not the main source of bioaerosols in the Barcelona subway system.</div>
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<AbstractText>Subway systems worldwide transport more than 100 million people daily; therefore, air quality on station platforms and inside trains is an important urban air pollution issue. We examined the microbiological composition and abundance in space and time of bioaerosols collected in the Barcelona subway system during a cold period. Quantitative PCR was used to quantify total bacteria, Aspergillus fumigatus, influenza A and B, and rhinoviruses. Multitag 454 pyrosequencing of the 16S rRNA gene was used to assess bacterial community composition and biodiversity. The results showed low bioaerosol concentrations regarding the targeted microorganisms, although the bacterial bioburden was rather high (10
<sup>4</sup>
bacteria/m
<sup>3</sup>
). Airborne bacterial communities presented a high degree of overlap among the different subway environments sampled (inside trains, platforms, and lobbies) and were dominated by a few widespread taxa, with Methylobacterium being the most abundant genus. Human-related microbiota in sequence dataset and ascribed to potentially pathogenic bacteria were found in low proportion (maximum values below 2% of sequence readings) and evenly detected. Hence, no important biological exposure marker was detected in any of the sampled environments. Overall, we found that commuters are not the main source of bioaerosols in the Barcelona subway system.</AbstractText>
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<Initials>EO</Initials>
<AffiliationInfo>
<Affiliation>Centre for Advanced Studies of Blanes (CEAB), Spanish Research Council (CSIC), Blanes, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Moreno</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Institute for Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<DataBankList CompleteYN="Y">
<DataBank>
<DataBankName>GENBANK</DataBankName>
<AccessionNumberList>
<AccessionNumber>LT158063</AccessionNumber>
<AccessionNumber>LT158198</AccessionNumber>
</AccessionNumberList>
</DataBank>
</DataBankList>
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<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2016</Year>
<Month>10</Month>
<Day>26</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Indoor Air</MedlineTA>
<NlmUniqueID>9423515</NlmUniqueID>
<ISSNLinking>0905-6947</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000336">Aerosols</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000393">Air Pollutants</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D052638">Particulate Matter</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D012336">RNA, Ribosomal, 16S</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000336" MajorTopicYN="N">Aerosols</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000391" MajorTopicYN="Y">Air Microbiology</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000393" MajorTopicYN="N">Air Pollutants</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D016902" MajorTopicYN="N">Air Pollution, Indoor</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001232" MajorTopicYN="N">Aspergillus fumigatus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001419" MajorTopicYN="N">Bacteria</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004784" MajorTopicYN="N">Environmental Monitoring</DescriptorName>
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<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D009980" MajorTopicYN="N">Influenza A virus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D009981" MajorTopicYN="N">Influenza B virus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D064307" MajorTopicYN="N">Microbiota</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D010316" MajorTopicYN="N">Particle Size</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D052638" MajorTopicYN="N">Particulate Matter</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D016133" MajorTopicYN="N">Polymerase Chain Reaction</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012336" MajorTopicYN="N">RNA, Ribosomal, 16S</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011890" MajorTopicYN="Y">Railroads</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012229" MajorTopicYN="N">Rhinovirus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013030" MajorTopicYN="N">Spain</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">airborne bacterial community</Keyword>
<Keyword MajorTopicYN="Y">bioaerosol</Keyword>
<Keyword MajorTopicYN="Y">culture-independent approach</Keyword>
<Keyword MajorTopicYN="Y">indoor air quality</Keyword>
<Keyword MajorTopicYN="Y">indoor microbial ecology</Keyword>
<Keyword MajorTopicYN="Y">subway system</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2016</Year>
<Month>05</Month>
<Day>02</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2016</Year>
<Month>09</Month>
<Day>23</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2016</Year>
<Month>10</Month>
<Day>27</Day>
<Hour>6</Hour>
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<PubMedPubDate PubStatus="medline">
<Year>2017</Year>
<Month>12</Month>
<Day>14</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="entrez">
<Year>2016</Year>
<Month>10</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">27687789</ArticleId>
<ArticleId IdType="doi">10.1111/ina.12343</ArticleId>
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</pubmed>
<affiliations>
<list>
<country>
<li>Canada</li>
<li>Espagne</li>
</country>
<region>
<li>Catalogne</li>
</region>
<settlement>
<li>Barcelone</li>
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<country name="Espagne">
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<name sortKey="Triad Margarit, X" sort="Triad Margarit, X" uniqKey="Triad Margarit X" first="X" last="Triad Margarit">X. Triad Margarit</name>
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<name sortKey="Amato, F" sort="Amato, F" uniqKey="Amato F" first="F" last="Amato">F. Amato</name>
<name sortKey="Casamayor, E O" sort="Casamayor, E O" uniqKey="Casamayor E" first="E O" last="Casamayor">E O Casamayor</name>
<name sortKey="De Miguel, E" sort="De Miguel, E" uniqKey="De Miguel E" first="E" last="De Miguel">E. De Miguel</name>
<name sortKey="Martins, V" sort="Martins, V" uniqKey="Martins V" first="V" last="Martins">V. Martins</name>
<name sortKey="Minguill N, M C" sort="Minguill N, M C" uniqKey="Minguill N M" first="M C" last="Minguill N">M C Minguill N</name>
<name sortKey="Moreno, T" sort="Moreno, T" uniqKey="Moreno T" first="T" last="Moreno">T. Moreno</name>
</country>
<country name="Canada">
<noRegion>
<name sortKey="Veillette, M" sort="Veillette, M" uniqKey="Veillette M" first="M" last="Veillette">M. Veillette</name>
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<name sortKey="Duchaine, C" sort="Duchaine, C" uniqKey="Duchaine C" first="C" last="Duchaine">C. Duchaine</name>
<name sortKey="Talbot, M" sort="Talbot, M" uniqKey="Talbot M" first="M" last="Talbot">M. Talbot</name>
</country>
</tree>
</affiliations>
</record>

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