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Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia
BACKGROUND: Knowledge on the capacity of Australian ticks to carry Borrelia species is currently limited or missing. To evaluate the potential of ticks to carry bacterial pathogens and their DNA, it is imperative to have a robust workflow that maximises recovery of bacterial DNA within ticks in orde...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738880/ https://www.ncbi.nlm.nih.gov/pubmed/29262840 http://dx.doi.org/10.1186/s13071-017-2579-5 |
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author | Panetta, Jessica L. Šíma, Radek Calvani, Nichola E. D. Hajdušek, Ondřej Chandra, Shona Panuccio, Jessica Šlapeta, Jan |
author_facet | Panetta, Jessica L. Šíma, Radek Calvani, Nichola E. D. Hajdušek, Ondřej Chandra, Shona Panuccio, Jessica Šlapeta, Jan |
author_sort | Panetta, Jessica L. |
collection | PubMed |
description | BACKGROUND: Knowledge on the capacity of Australian ticks to carry Borrelia species is currently limited or missing. To evaluate the potential of ticks to carry bacterial pathogens and their DNA, it is imperative to have a robust workflow that maximises recovery of bacterial DNA within ticks in order to enable accurate identification. By exploiting the bilateral anatomical symmetry of ticks, we were able to directly compare two DNA extraction methods for 16S rRNA gene diversity profiling and pathogen detection. We aimed to assess which combination of DNA extraction and 16S rRNA hypervariable region enables identification of the greatest bacterial diversity, whilst minimising bias, and providing the greatest capacity for the identification of Borrelia spp. RESULTS: We collected Australian endemic ticks (Bothriocroton undatum), isolated DNA from equal tick halves using two commercial DNA extraction methods and sequenced samples using V1-V3 and V3-V4 16S rRNA gene diversity profiling assays. Two distinct Borrelia spp. operational taxonomic units (OTUs) were detected using the V1-V3 16S rRNA hypervariable region and matching Borrelia spp. sequences were obtained using a conventional nested-PCR. The tick 16S rRNA gene diversity profile was dominated by Rickettsia spp. (98–99%), while the remaining OTUs belonged to Proteobacteria (51–81%), Actinobacteria (6–30%) and Firmicutes (2–7%). Multiple comparisons tests demonstrated biases in each of the DNA extraction kits towards different bacterial taxa. CONCLUSIONS: Two distinct Borrelia species belonging to the reptile-associated Borrelia group were identified. Our results show that the method of DNA extraction can promote bias in the final microbiota identified. We determined an optimal DNA extraction method and 16S rRNA gene diversity profile assay that maximises detection of Borrelia species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi: 10.1186/s13071-017-2579-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5738880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57388802018-01-02 Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia Panetta, Jessica L. Šíma, Radek Calvani, Nichola E. D. Hajdušek, Ondřej Chandra, Shona Panuccio, Jessica Šlapeta, Jan Parasit Vectors Research BACKGROUND: Knowledge on the capacity of Australian ticks to carry Borrelia species is currently limited or missing. To evaluate the potential of ticks to carry bacterial pathogens and their DNA, it is imperative to have a robust workflow that maximises recovery of bacterial DNA within ticks in order to enable accurate identification. By exploiting the bilateral anatomical symmetry of ticks, we were able to directly compare two DNA extraction methods for 16S rRNA gene diversity profiling and pathogen detection. We aimed to assess which combination of DNA extraction and 16S rRNA hypervariable region enables identification of the greatest bacterial diversity, whilst minimising bias, and providing the greatest capacity for the identification of Borrelia spp. RESULTS: We collected Australian endemic ticks (Bothriocroton undatum), isolated DNA from equal tick halves using two commercial DNA extraction methods and sequenced samples using V1-V3 and V3-V4 16S rRNA gene diversity profiling assays. Two distinct Borrelia spp. operational taxonomic units (OTUs) were detected using the V1-V3 16S rRNA hypervariable region and matching Borrelia spp. sequences were obtained using a conventional nested-PCR. The tick 16S rRNA gene diversity profile was dominated by Rickettsia spp. (98–99%), while the remaining OTUs belonged to Proteobacteria (51–81%), Actinobacteria (6–30%) and Firmicutes (2–7%). Multiple comparisons tests demonstrated biases in each of the DNA extraction kits towards different bacterial taxa. CONCLUSIONS: Two distinct Borrelia species belonging to the reptile-associated Borrelia group were identified. Our results show that the method of DNA extraction can promote bias in the final microbiota identified. We determined an optimal DNA extraction method and 16S rRNA gene diversity profile assay that maximises detection of Borrelia species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi: 10.1186/s13071-017-2579-5) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-20 /pmc/articles/PMC5738880/ /pubmed/29262840 http://dx.doi.org/10.1186/s13071-017-2579-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Panetta, Jessica L. Šíma, Radek Calvani, Nichola E. D. Hajdušek, Ondřej Chandra, Shona Panuccio, Jessica Šlapeta, Jan Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title | Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title_full | Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title_fullStr | Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title_full_unstemmed | Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title_short | Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia |
title_sort | reptile-associated borrelia species in the goanna tick (bothriocroton undatum) from sydney, australia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5738880/ https://www.ncbi.nlm.nih.gov/pubmed/29262840 http://dx.doi.org/10.1186/s13071-017-2579-5 |
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