The microbiota of hematophagous ectoparasites collected from migratory birds
Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA g...
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Published in | PloS one Vol. 13; no. 8; p. e0202270 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
27.08.2018
Public Library of Science (PLoS) |
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Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0202270 |
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Abstract | Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA gene metabarcoding to characterize their microbial community. A total of 194 ectoparasites were collected from 115 avian hosts and classified into three groups: a) Hippoboscidae diptera; b) ticks; c) other arthropods. Metabarcoding showed that endosymbionts were the most abundant genera of the microbial community, including Wolbachia for Hippoboscidae diptera, Candidatus Midichloria for ticks, Wolbachia and Arsenophonus for the other arthropod group. Genera including pathogenic species were: Rickettsia, Borrelia, Coxiella, Francisella, Bartonella, Anaplasma. Co-infection with Borrelia-Rickettsia and Anaplasma-Rickettsia was also observed. A global overview of the microbiota of ectoparasites sampled from migratory birds was obtained with the use of 16S rRNA gene metabarcoding. A novel finding is the first identification of Rickettsia in the common swift louse fly, Crataerina pallida. Given their possible interaction with pathogenic viruses and bacteria, the presence of endosymbionts in arthropods merits attention. Finally, molecular characterization of genera, including both pathogenic and symbiont species, plays a pivotal role in the design of targeted molecular diagnostics. |
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AbstractList | Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA gene metabarcoding to characterize their microbial community. A total of 194 ectoparasites were collected from 115 avian hosts and classified into three groups: a)
Hippoboscidae
diptera; b) ticks; c) other arthropods. Metabarcoding showed that endosymbionts were the most abundant genera of the microbial community, including
Wolbachia
for
Hippoboscidae
diptera, Candidatus
Midichloria
for ticks,
Wolbachia
and
Arsenophonus
for the other arthropod group. Genera including pathogenic species were:
Rickettsia
,
Borrelia
,
Coxiella
,
Francisella
,
Bartonella
,
Anaplasma
. Co-infection with
Borrelia
-
Rickettsia
and
Anaplasma
-
Rickettsia
was also observed. A global overview of the microbiota of ectoparasites sampled from migratory birds was obtained with the use of 16S rRNA gene metabarcoding. A novel finding is the first identification of
Rickettsia
in the common swift louse fly,
Crataerina pallida
. Given their possible interaction with pathogenic viruses and bacteria, the presence of endosymbionts in arthropods merits attention. Finally, molecular characterization of genera, including both pathogenic and symbiont species, plays a pivotal role in the design of targeted molecular diagnostics. Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA gene metabarcoding to characterize their microbial community. A total of 194 ectoparasites were collected from 115 avian hosts and classified into three groups: a) Hippoboscidae diptera; b) ticks; c) other arthropods. Metabarcoding showed that endosymbionts were the most abundant genera of the microbial community, including Wolbachia for Hippoboscidae diptera, Candidatus Midichloria for ticks, Wolbachia and Arsenophonus for the other arthropod group. Genera including pathogenic species were: Rickettsia, Borrelia, Coxiella, Francisella, Bartonella, Anaplasma. Co-infection with Borrelia-Rickettsia and Anaplasma-Rickettsia was also observed. A global overview of the microbiota of ectoparasites sampled from migratory birds was obtained with the use of 16S rRNA gene metabarcoding. A novel finding is the first identification of Rickettsia in the common swift louse fly, Crataerina pallida. Given their possible interaction with pathogenic viruses and bacteria, the presence of endosymbionts in arthropods merits attention. Finally, molecular characterization of genera, including both pathogenic and symbiont species, plays a pivotal role in the design of targeted molecular diagnostics. Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA gene metabarcoding to characterize their microbial community. A total of 194 ectoparasites were collected from 115 avian hosts and classified into three groups: a) Hippoboscidae diptera; b) ticks; c) other arthropods. Metabarcoding showed that endosymbionts were the most abundant genera of the microbial community, including Wolbachia for Hippoboscidae diptera, Candidatus Midichloria for ticks, Wolbachia and Arsenophonus for the other arthropod group. Genera including pathogenic species were: Rickettsia, Borrelia, Coxiella, Francisella, Bartonella, Anaplasma. Co-infection with Borrelia-Rickettsia and Anaplasma-Rickettsia was also observed. A global overview of the microbiota of ectoparasites sampled from migratory birds was obtained with the use of 16S rRNA gene metabarcoding. A novel finding is the first identification of Rickettsia in the common swift louse fly, Crataerina pallida. Given their possible interaction with pathogenic viruses and bacteria, the presence of endosymbionts in arthropods merits attention. Finally, molecular characterization of genera, including both pathogenic and symbiont species, plays a pivotal role in the design of targeted molecular diagnostics.Arthropod vectors are responsible for the transmission of human pathogens worldwide. Several arthropod species are bird ectoparasites, however, no study to date has characterized their microbiota as a whole. We sampled hematophagous ectoparasites that feed on migratory birds and performed 16S rRNA gene metabarcoding to characterize their microbial community. A total of 194 ectoparasites were collected from 115 avian hosts and classified into three groups: a) Hippoboscidae diptera; b) ticks; c) other arthropods. Metabarcoding showed that endosymbionts were the most abundant genera of the microbial community, including Wolbachia for Hippoboscidae diptera, Candidatus Midichloria for ticks, Wolbachia and Arsenophonus for the other arthropod group. Genera including pathogenic species were: Rickettsia, Borrelia, Coxiella, Francisella, Bartonella, Anaplasma. Co-infection with Borrelia-Rickettsia and Anaplasma-Rickettsia was also observed. A global overview of the microbiota of ectoparasites sampled from migratory birds was obtained with the use of 16S rRNA gene metabarcoding. A novel finding is the first identification of Rickettsia in the common swift louse fly, Crataerina pallida. Given their possible interaction with pathogenic viruses and bacteria, the presence of endosymbionts in arthropods merits attention. Finally, molecular characterization of genera, including both pathogenic and symbiont species, plays a pivotal role in the design of targeted molecular diagnostics. |
Audience | Academic |
Author | Acutis, Pier Luigi Cravero, Alessandra Costa, Stefano Rizzo, Francesca Giammarino, Mauro Jurman, Irena Radovic, Slobodanka Cattonaro, Federica Mandola, Maria Lucia Cerutti, Francesco Goria, Mariella Modesto, Paola Peletto, Simone |
AuthorAffiliation | 4 S.S. Microbiologia Molecolare e Analisi Genomiche, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy 3 S.S. Laboratorio Specialistico Diagnostica Molecolare Virologica e Ovocoltura, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy University of Kentucky College of Medicine, UNITED STATES 2 S.S. Sezione di Genova, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Genova, Italy 7 Department of Prevention, ASL CN 1, Racconigi (CN), Italy 1 S.S. Genetica e Immunobiochimica, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy 5 IGA Technology Services, Udine, Italy 6 Laboratorio Chimico Camera Commercio Torino, Torino, Italy |
AuthorAffiliation_xml | – name: 2 S.S. Sezione di Genova, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Genova, Italy – name: 5 IGA Technology Services, Udine, Italy – name: 3 S.S. Laboratorio Specialistico Diagnostica Molecolare Virologica e Ovocoltura, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy – name: 7 Department of Prevention, ASL CN 1, Racconigi (CN), Italy – name: University of Kentucky College of Medicine, UNITED STATES – name: 6 Laboratorio Chimico Camera Commercio Torino, Torino, Italy – name: 1 S.S. Genetica e Immunobiochimica, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy – name: 4 S.S. Microbiologia Molecolare e Analisi Genomiche, Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Torino, Italy |
Author_xml | – sequence: 1 givenname: Francesco orcidid: 0000-0003-0480-8296 surname: Cerutti fullname: Cerutti, Francesco – sequence: 2 givenname: Paola surname: Modesto fullname: Modesto, Paola – sequence: 3 givenname: Francesca surname: Rizzo fullname: Rizzo, Francesca – sequence: 4 givenname: Alessandra surname: Cravero fullname: Cravero, Alessandra – sequence: 5 givenname: Irena surname: Jurman fullname: Jurman, Irena – sequence: 6 givenname: Stefano surname: Costa fullname: Costa, Stefano – sequence: 7 givenname: Mauro surname: Giammarino fullname: Giammarino, Mauro – sequence: 8 givenname: Maria Lucia surname: Mandola fullname: Mandola, Maria Lucia – sequence: 9 givenname: Mariella surname: Goria fullname: Goria, Mariella – sequence: 10 givenname: Slobodanka surname: Radovic fullname: Radovic, Slobodanka – sequence: 11 givenname: Federica surname: Cattonaro fullname: Cattonaro, Federica – sequence: 12 givenname: Pier Luigi surname: Acutis fullname: Acutis, Pier Luigi – sequence: 13 givenname: Simone surname: Peletto fullname: Peletto, Simone |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30148833$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2018 Public Library of Science 2018 Cerutti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Cerutti et al 2018 Cerutti et al |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: We have the following interests: Irena Jurman, Slobodanka Radovic and Federica Cattonaro are employed by IGA technology services. Stefano Costa is employed by Laboratorio Chimico Camera Commercio Torino. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials. |
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