Cargando…

Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis

Hyalomma dromedarii is an important blood-feeding ectoparasite that affects the health of camels. We assessed the profile of bacterial communities associated with H. dromedarii collected from camels in the eastern part of the UAE in 2010 and 2019. A total of 100 partially engorged female ticks were...

Descripción completa

Detalles Bibliográficos
Autores principales: Perveen, Nighat, Muzaffar, Sabir Bin, Vijayan, Ranjit, Al-Deeb, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550333/
https://www.ncbi.nlm.nih.gov/pubmed/33046763
http://dx.doi.org/10.1038/s41598-020-74116-7
_version_ 1783592953614172160
author Perveen, Nighat
Muzaffar, Sabir Bin
Vijayan, Ranjit
Al-Deeb, Mohammad Ali
author_facet Perveen, Nighat
Muzaffar, Sabir Bin
Vijayan, Ranjit
Al-Deeb, Mohammad Ali
author_sort Perveen, Nighat
collection PubMed
description Hyalomma dromedarii is an important blood-feeding ectoparasite that affects the health of camels. We assessed the profile of bacterial communities associated with H. dromedarii collected from camels in the eastern part of the UAE in 2010 and 2019. A total of 100 partially engorged female ticks were taken from tick samples collected from camels (n = 100; 50/year) and subjected to DNA extraction and sequencing. The 16S rRNA gene was amplified from genomic DNA and sequenced using Illumina MiSeq platform to elucidate the bacterial communities. Principle Coordinates Analysis (PCoA) was conducted to determine patterns of diversity in bacterial communities. In 2010 and 2019, we obtained 899,574 and 781,452 read counts and these formed 371 and 191 operational taxonomic units (OTUs, clustered at 97% similarity), respectively. In both years, twenty-five bacterial families with high relative abundance were detected and the following were the most common: Moraxellaceae, Enterobacteriaceae, Staphylococcaceae, Bacillaceae, Corynebacteriaceae, Flavobacteriaceae, Francisellaceae, Muribaculaceae, Neisseriaceae, and Pseudomonadaceae. Francisellaceae and Enterobacteriaceae coexist in H. dromedarii and we suggest that they thrive under similar conditions and microbial interactions inside the host. Comparisons of diversity indicated that microbial communities differed in terms of richness and evenness between 2010 and 2019, with higher richness but lower evenness in communities in 2010. Principle coordinates analyses showed clear clusters separating microbial communities in 2010 and 2019. The differences in communities suggested that the repertoire of microbial communities have shifted. In particular, the significant increase in dominance of Francisella and the presence of bacterial families containing pathogenic genera shows that H. dromedarii poses a serious health risk to camels and people who interact with them. Thus, it may be wise to introduce active surveillance of key genera that constitute a health hazard in the livestock industry to protect livestock and people.
format Online
Article
Text
id pubmed-7550333
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75503332020-10-14 Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis Perveen, Nighat Muzaffar, Sabir Bin Vijayan, Ranjit Al-Deeb, Mohammad Ali Sci Rep Article Hyalomma dromedarii is an important blood-feeding ectoparasite that affects the health of camels. We assessed the profile of bacterial communities associated with H. dromedarii collected from camels in the eastern part of the UAE in 2010 and 2019. A total of 100 partially engorged female ticks were taken from tick samples collected from camels (n = 100; 50/year) and subjected to DNA extraction and sequencing. The 16S rRNA gene was amplified from genomic DNA and sequenced using Illumina MiSeq platform to elucidate the bacterial communities. Principle Coordinates Analysis (PCoA) was conducted to determine patterns of diversity in bacterial communities. In 2010 and 2019, we obtained 899,574 and 781,452 read counts and these formed 371 and 191 operational taxonomic units (OTUs, clustered at 97% similarity), respectively. In both years, twenty-five bacterial families with high relative abundance were detected and the following were the most common: Moraxellaceae, Enterobacteriaceae, Staphylococcaceae, Bacillaceae, Corynebacteriaceae, Flavobacteriaceae, Francisellaceae, Muribaculaceae, Neisseriaceae, and Pseudomonadaceae. Francisellaceae and Enterobacteriaceae coexist in H. dromedarii and we suggest that they thrive under similar conditions and microbial interactions inside the host. Comparisons of diversity indicated that microbial communities differed in terms of richness and evenness between 2010 and 2019, with higher richness but lower evenness in communities in 2010. Principle coordinates analyses showed clear clusters separating microbial communities in 2010 and 2019. The differences in communities suggested that the repertoire of microbial communities have shifted. In particular, the significant increase in dominance of Francisella and the presence of bacterial families containing pathogenic genera shows that H. dromedarii poses a serious health risk to camels and people who interact with them. Thus, it may be wise to introduce active surveillance of key genera that constitute a health hazard in the livestock industry to protect livestock and people. Nature Publishing Group UK 2020-10-12 /pmc/articles/PMC7550333/ /pubmed/33046763 http://dx.doi.org/10.1038/s41598-020-74116-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Perveen, Nighat
Muzaffar, Sabir Bin
Vijayan, Ranjit
Al-Deeb, Mohammad Ali
Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title_full Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title_fullStr Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title_full_unstemmed Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title_short Microbial communities associated with the camel tick, Hyalomma dromedarii: 16S rRNA gene-based analysis
title_sort microbial communities associated with the camel tick, hyalomma dromedarii: 16s rrna gene-based analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550333/
https://www.ncbi.nlm.nih.gov/pubmed/33046763
http://dx.doi.org/10.1038/s41598-020-74116-7
work_keys_str_mv AT perveennighat microbialcommunitiesassociatedwiththecameltickhyalommadromedarii16srrnagenebasedanalysis
AT muzaffarsabirbin microbialcommunitiesassociatedwiththecameltickhyalommadromedarii16srrnagenebasedanalysis
AT vijayanranjit microbialcommunitiesassociatedwiththecameltickhyalommadromedarii16srrnagenebasedanalysis
AT aldeebmohammadali microbialcommunitiesassociatedwiththecameltickhyalommadromedarii16srrnagenebasedanalysis