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Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats
Wild rats can host various zoonotic pathogens. Detection of these pathogens is commonly performed using molecular techniques targeting one or a few specific pathogens. However, this specific way of surveillance could lead to (emerging) zoonotic pathogens staying unnoticed. This problem may be overco...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099244/ https://www.ncbi.nlm.nih.gov/pubmed/36404584 http://dx.doi.org/10.1111/tbed.14759 |
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author | de Cock, Marieke Fonville, Manoj de Vries, Ankje Bossers, Alex van den Bogert, Bartholomeus Hakze‐van der Honing, Renate Koets, Ad Sprong, Hein van der Poel, Wim Maas, Miriam |
author_facet | de Cock, Marieke Fonville, Manoj de Vries, Ankje Bossers, Alex van den Bogert, Bartholomeus Hakze‐van der Honing, Renate Koets, Ad Sprong, Hein van der Poel, Wim Maas, Miriam |
author_sort | de Cock, Marieke |
collection | PubMed |
description | Wild rats can host various zoonotic pathogens. Detection of these pathogens is commonly performed using molecular techniques targeting one or a few specific pathogens. However, this specific way of surveillance could lead to (emerging) zoonotic pathogens staying unnoticed. This problem may be overcome by using broader microbiome‐profiling techniques, which enable broad screening of a sample's bacterial or viral composition. In this study, we investigated if 16S rRNA gene amplicon sequencing would be a suitable tool for the detection of zoonotic bacteria in wild rats. Moreover, we used virome‐enriched (VirCapSeq) sequencing to detect zoonotic viruses. DNA from kidney samples of 147 wild brown rats (Rattus norvegicus) and 42 black rats (Rattus rattus) was used for 16S rRNA gene amplicon sequencing of the V3–V4 hypervariable region. Blocking primers were developed to reduce the amplification of rat host DNA. The kidney bacterial composition was studied using alpha‐ and beta‐diversity metrics and statistically assessed using PERMANOVA and SIMPER analyses. From the sequencing data, 14 potentially zoonotic bacterial genera were identified from which the presence of zoonotic Leptospira spp. and Bartonella tribocorum was confirmed by (q)PCR or Sanger sequencing. In addition, more than 65% of all samples were dominated (>50% reads) by one of three bacterial taxa: Streptococcus (n = 59), Mycoplasma (n = 39) and Leptospira (n = 25). These taxa also showed the highest contribution to the observed differences in beta diversity. VirCapSeq sequencing in rat liver samples detected the potentially zoonotic rat hepatitis E virus in three rats. Although 16S rRNA gene amplicon sequencing was limited in its capacity for species level identifications and can be more difficult to interpret due to the influence of contaminating sequences in these low microbial biomass samples, we believe it has potential to be a suitable pre‐screening method in the future to get a better overview of potentially zoonotic bacteria that are circulating in wildlife. |
format | Online Article Text |
id | pubmed-10099244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100992442023-04-14 Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats de Cock, Marieke Fonville, Manoj de Vries, Ankje Bossers, Alex van den Bogert, Bartholomeus Hakze‐van der Honing, Renate Koets, Ad Sprong, Hein van der Poel, Wim Maas, Miriam Transbound Emerg Dis Original Articles Wild rats can host various zoonotic pathogens. Detection of these pathogens is commonly performed using molecular techniques targeting one or a few specific pathogens. However, this specific way of surveillance could lead to (emerging) zoonotic pathogens staying unnoticed. This problem may be overcome by using broader microbiome‐profiling techniques, which enable broad screening of a sample's bacterial or viral composition. In this study, we investigated if 16S rRNA gene amplicon sequencing would be a suitable tool for the detection of zoonotic bacteria in wild rats. Moreover, we used virome‐enriched (VirCapSeq) sequencing to detect zoonotic viruses. DNA from kidney samples of 147 wild brown rats (Rattus norvegicus) and 42 black rats (Rattus rattus) was used for 16S rRNA gene amplicon sequencing of the V3–V4 hypervariable region. Blocking primers were developed to reduce the amplification of rat host DNA. The kidney bacterial composition was studied using alpha‐ and beta‐diversity metrics and statistically assessed using PERMANOVA and SIMPER analyses. From the sequencing data, 14 potentially zoonotic bacterial genera were identified from which the presence of zoonotic Leptospira spp. and Bartonella tribocorum was confirmed by (q)PCR or Sanger sequencing. In addition, more than 65% of all samples were dominated (>50% reads) by one of three bacterial taxa: Streptococcus (n = 59), Mycoplasma (n = 39) and Leptospira (n = 25). These taxa also showed the highest contribution to the observed differences in beta diversity. VirCapSeq sequencing in rat liver samples detected the potentially zoonotic rat hepatitis E virus in three rats. Although 16S rRNA gene amplicon sequencing was limited in its capacity for species level identifications and can be more difficult to interpret due to the influence of contaminating sequences in these low microbial biomass samples, we believe it has potential to be a suitable pre‐screening method in the future to get a better overview of potentially zoonotic bacteria that are circulating in wildlife. John Wiley and Sons Inc. 2022-11-30 2022-11 /pmc/articles/PMC10099244/ /pubmed/36404584 http://dx.doi.org/10.1111/tbed.14759 Text en © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley‐VCH GmbH. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles de Cock, Marieke Fonville, Manoj de Vries, Ankje Bossers, Alex van den Bogert, Bartholomeus Hakze‐van der Honing, Renate Koets, Ad Sprong, Hein van der Poel, Wim Maas, Miriam Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title | Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title_full | Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title_fullStr | Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title_full_unstemmed | Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title_short | Screen the unforeseen: Microbiome‐profiling for detection of zoonotic pathogens in wild rats |
title_sort | screen the unforeseen: microbiome‐profiling for detection of zoonotic pathogens in wild rats |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099244/ https://www.ncbi.nlm.nih.gov/pubmed/36404584 http://dx.doi.org/10.1111/tbed.14759 |
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