Bacterial communities at airport assessed by high-throughput sequencing

Irina Tsitko, Satu Salo, Ilpo Kulmala, Johanna Maukonen

Research output: Contribution to conferenceOther conference contributionScientific

Abstract

Background. Air travel enables rapid global transport of infectious diseases. Hub airports visited by hundreds of thousands of passengers a day are potential environments for spreading infectious diseases. Therefore, airports need a functional prevention mechanism and a response plan in case of a disease outbreak. With growing number of passengers, the contaminated surfaces could play an important role in spreading the diseases. Sufficient understanding of the microbial communities on surfaces, which could come in contact with the passengers, can facilitate the development of rapid, sensitive and specific tools for monitoring the microorganisms of interest.Objectives. In this study we concentrated on the characterization of bacterial populations recovered from the frequent contact surfaces at an airport.Methods. Sixty different surfaces at the airport were swabbed three times with an interval of 2 weeks. Bacterial numbers were assessed using q-PCR. Bacterial population profiles from 44 samples (22 sampling points, sampled twice) were characterized by high-throughput sequencing. The amplicon library of V3-V4 variable region of 16S rRNA genes was constructed and sequenced on the IonTorrent platform. The sequence data were quality filtered and analyzed using the mothur software. Sequences were classified using the RDP Bayesian Classifier (80% confidence) and clustered into phenotypes at different phylogenetic levels.Results. 142 062 good quality sequences were obtained from all 44 samples. The sequences were grouped into 569 phylotypes at genus level. A total of 21 bacterial phyla were detected. More than 97% of all sequences were assigned to the predominant phyla Actinobacteria, Proteobacteria and Firmicutes. These were the only phyla present in all 44 samples analyzed. The phylum Firmicutes was represented by two classes, Bacilli and Clostridia. The main proteobacterial classes were Gamma- and Alphaproteobacteria. The phylum Actinobacteria was entirely represented by the class Actinobacteria. Most of the genera were identified to be human associated.Conclusions. This study reveals diverse bacterial populations present on all surfaces at the airport. The dynamics of the bacterial populations were followed for two weeks and the results showed that bacterial community profiles sometimes differed between the different sampling times.
Original languageEnglish
Publication statusPublished - 2017
Event15th Conference of the International Society of Travel Medicine, CISTM15 - Barcelona, Spain
Duration: 14 May 201718 May 2017

Conference

Conference15th Conference of the International Society of Travel Medicine, CISTM15
Abbreviated titleCISTM15
CountrySpain
CityBarcelona
Period14/05/1718/05/17

Fingerprint

Airports
Actinobacteria
Communicable Diseases
Air Travel
Population
Alphaproteobacteria
Proteobacteria
Clostridium
Population Dynamics
rRNA Genes
Bacillus
Libraries
Disease Outbreaks
Software
Phenotype
Polymerase Chain Reaction

Keywords

  • air travel
  • airport
  • bacterial communitities

Cite this

Tsitko, I., Salo, S., Kulmala, I., & Maukonen, J. (2017). Bacterial communities at airport assessed by high-throughput sequencing. 15th Conference of the International Society of Travel Medicine, CISTM15, Barcelona, Spain.
Tsitko, Irina ; Salo, Satu ; Kulmala, Ilpo ; Maukonen, Johanna. / Bacterial communities at airport assessed by high-throughput sequencing. 15th Conference of the International Society of Travel Medicine, CISTM15, Barcelona, Spain.
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abstract = "Background. Air travel enables rapid global transport of infectious diseases. Hub airports visited by hundreds of thousands of passengers a day are potential environments for spreading infectious diseases. Therefore, airports need a functional prevention mechanism and a response plan in case of a disease outbreak. With growing number of passengers, the contaminated surfaces could play an important role in spreading the diseases. Sufficient understanding of the microbial communities on surfaces, which could come in contact with the passengers, can facilitate the development of rapid, sensitive and specific tools for monitoring the microorganisms of interest.Objectives. In this study we concentrated on the characterization of bacterial populations recovered from the frequent contact surfaces at an airport.Methods. Sixty different surfaces at the airport were swabbed three times with an interval of 2 weeks. Bacterial numbers were assessed using q-PCR. Bacterial population profiles from 44 samples (22 sampling points, sampled twice) were characterized by high-throughput sequencing. The amplicon library of V3-V4 variable region of 16S rRNA genes was constructed and sequenced on the IonTorrent platform. The sequence data were quality filtered and analyzed using the mothur software. Sequences were classified using the RDP Bayesian Classifier (80{\%} confidence) and clustered into phenotypes at different phylogenetic levels.Results. 142 062 good quality sequences were obtained from all 44 samples. The sequences were grouped into 569 phylotypes at genus level. A total of 21 bacterial phyla were detected. More than 97{\%} of all sequences were assigned to the predominant phyla Actinobacteria, Proteobacteria and Firmicutes. These were the only phyla present in all 44 samples analyzed. The phylum Firmicutes was represented by two classes, Bacilli and Clostridia. The main proteobacterial classes were Gamma- and Alphaproteobacteria. The phylum Actinobacteria was entirely represented by the class Actinobacteria. Most of the genera were identified to be human associated.Conclusions. This study reveals diverse bacterial populations present on all surfaces at the airport. The dynamics of the bacterial populations were followed for two weeks and the results showed that bacterial community profiles sometimes differed between the different sampling times.",
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author = "Irina Tsitko and Satu Salo and Ilpo Kulmala and Johanna Maukonen",
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Tsitko, I, Salo, S, Kulmala, I & Maukonen, J 2017, 'Bacterial communities at airport assessed by high-throughput sequencing' 15th Conference of the International Society of Travel Medicine, CISTM15, Barcelona, Spain, 14/05/17 - 18/05/17, .

Bacterial communities at airport assessed by high-throughput sequencing. / Tsitko, Irina; Salo, Satu; Kulmala, Ilpo; Maukonen, Johanna.

2017. 15th Conference of the International Society of Travel Medicine, CISTM15, Barcelona, Spain.

Research output: Contribution to conferenceOther conference contributionScientific

TY - CONF

T1 - Bacterial communities at airport assessed by high-throughput sequencing

AU - Tsitko, Irina

AU - Salo, Satu

AU - Kulmala, Ilpo

AU - Maukonen, Johanna

PY - 2017

Y1 - 2017

N2 - Background. Air travel enables rapid global transport of infectious diseases. Hub airports visited by hundreds of thousands of passengers a day are potential environments for spreading infectious diseases. Therefore, airports need a functional prevention mechanism and a response plan in case of a disease outbreak. With growing number of passengers, the contaminated surfaces could play an important role in spreading the diseases. Sufficient understanding of the microbial communities on surfaces, which could come in contact with the passengers, can facilitate the development of rapid, sensitive and specific tools for monitoring the microorganisms of interest.Objectives. In this study we concentrated on the characterization of bacterial populations recovered from the frequent contact surfaces at an airport.Methods. Sixty different surfaces at the airport were swabbed three times with an interval of 2 weeks. Bacterial numbers were assessed using q-PCR. Bacterial population profiles from 44 samples (22 sampling points, sampled twice) were characterized by high-throughput sequencing. The amplicon library of V3-V4 variable region of 16S rRNA genes was constructed and sequenced on the IonTorrent platform. The sequence data were quality filtered and analyzed using the mothur software. Sequences were classified using the RDP Bayesian Classifier (80% confidence) and clustered into phenotypes at different phylogenetic levels.Results. 142 062 good quality sequences were obtained from all 44 samples. The sequences were grouped into 569 phylotypes at genus level. A total of 21 bacterial phyla were detected. More than 97% of all sequences were assigned to the predominant phyla Actinobacteria, Proteobacteria and Firmicutes. These were the only phyla present in all 44 samples analyzed. The phylum Firmicutes was represented by two classes, Bacilli and Clostridia. The main proteobacterial classes were Gamma- and Alphaproteobacteria. The phylum Actinobacteria was entirely represented by the class Actinobacteria. Most of the genera were identified to be human associated.Conclusions. This study reveals diverse bacterial populations present on all surfaces at the airport. The dynamics of the bacterial populations were followed for two weeks and the results showed that bacterial community profiles sometimes differed between the different sampling times.

AB - Background. Air travel enables rapid global transport of infectious diseases. Hub airports visited by hundreds of thousands of passengers a day are potential environments for spreading infectious diseases. Therefore, airports need a functional prevention mechanism and a response plan in case of a disease outbreak. With growing number of passengers, the contaminated surfaces could play an important role in spreading the diseases. Sufficient understanding of the microbial communities on surfaces, which could come in contact with the passengers, can facilitate the development of rapid, sensitive and specific tools for monitoring the microorganisms of interest.Objectives. In this study we concentrated on the characterization of bacterial populations recovered from the frequent contact surfaces at an airport.Methods. Sixty different surfaces at the airport were swabbed three times with an interval of 2 weeks. Bacterial numbers were assessed using q-PCR. Bacterial population profiles from 44 samples (22 sampling points, sampled twice) were characterized by high-throughput sequencing. The amplicon library of V3-V4 variable region of 16S rRNA genes was constructed and sequenced on the IonTorrent platform. The sequence data were quality filtered and analyzed using the mothur software. Sequences were classified using the RDP Bayesian Classifier (80% confidence) and clustered into phenotypes at different phylogenetic levels.Results. 142 062 good quality sequences were obtained from all 44 samples. The sequences were grouped into 569 phylotypes at genus level. A total of 21 bacterial phyla were detected. More than 97% of all sequences were assigned to the predominant phyla Actinobacteria, Proteobacteria and Firmicutes. These were the only phyla present in all 44 samples analyzed. The phylum Firmicutes was represented by two classes, Bacilli and Clostridia. The main proteobacterial classes were Gamma- and Alphaproteobacteria. The phylum Actinobacteria was entirely represented by the class Actinobacteria. Most of the genera were identified to be human associated.Conclusions. This study reveals diverse bacterial populations present on all surfaces at the airport. The dynamics of the bacterial populations were followed for two weeks and the results showed that bacterial community profiles sometimes differed between the different sampling times.

KW - air travel

KW - airport

KW - bacterial communitities

M3 - Other conference contribution

ER -

Tsitko I, Salo S, Kulmala I, Maukonen J. Bacterial communities at airport assessed by high-throughput sequencing. 2017. 15th Conference of the International Society of Travel Medicine, CISTM15, Barcelona, Spain.