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Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing

BACKGROUND: Hyalomma anatolicum is a widely distributed tick species that acts as a vector transmitting tick-borne pathogens (TBPs) in livestock. Such pathogens affect the health of livestock and consequently reduce their productivity. Knowledge about the microbial communities (pathogens and endosym...

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Autores principales: Perveen, Nighat, Muzaffar, Sabir Bin, Vijayan, Ranjit, Al-Deeb, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772180/
https://www.ncbi.nlm.nih.gov/pubmed/35057842
http://dx.doi.org/10.1186/s13071-021-05144-z
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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 BACKGROUND: Hyalomma anatolicum is a widely distributed tick species that acts as a vector transmitting tick-borne pathogens (TBPs) in livestock. Such pathogens affect the health of livestock and consequently reduce their productivity. Knowledge about the microbial communities (pathogens and endosymbionts) of ticks in the United Arab Emirates (UAE) is scarce. Therefore, the aim of the present study was to quantify microbial diversity in H. anatolicum using next-generation sequencing (NGS) technology. METHODS: Hyalomma anatolicum ticks were collected from livestock in the emirates of Abu Dhabi, Dubai and Sharjah in the UAE during 2019. DNA was extracted from 175 male ticks sampled from livestock (n = 78) and subjected to NGS. The 16S rRNA gene was analyzed using the Illumina MiSeq platform to determine the bacterial communities. Principal coordinates analysis (PCA) was performed to identify patterns of diversity in the bacterial communities. RESULTS: Twenty-six bacterial families with high relative abundance were identified, of which the most common were Staphylococcaceae, Francisellaceae, Corynebacteriaceae, Enterobacteriaceae, Moraxellaceae, Bacillaceae, Halomonadaceae, Xanthomonadaceae, Pseudomonadaceae, Enterococcaceae, Actinomycetaceae and Streptococcaceae. The diversity of the microbial communities in terms of richness and evenness was different at the three study locations, with the PCA showing clear clusters separating the microbial communities in ticks collected at Abu Dhabi, Dubai, and Sharjah. The presence of bacterial families harboring pathogenic genera showed that H. anatolicum could pose a potential threat to livestock and food security in the UAE. CONCLUSIONS: The study is the first to document important data on the microbial communities associated with H. anatolicum in the UAE. This knowledge will facilitate a better understanding of the distribution pattern of microbes in livestock ticks in the UAE and, ultimately, will aid in deciphering the relationships between microbes and in the exploration of potential factors towards developing effective management strategies. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-05144-z.
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spelling pubmed-87721802022-01-20 Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing Perveen, Nighat Muzaffar, Sabir Bin Vijayan, Ranjit Al-Deeb, Mohammad Ali Parasit Vectors Research BACKGROUND: Hyalomma anatolicum is a widely distributed tick species that acts as a vector transmitting tick-borne pathogens (TBPs) in livestock. Such pathogens affect the health of livestock and consequently reduce their productivity. Knowledge about the microbial communities (pathogens and endosymbionts) of ticks in the United Arab Emirates (UAE) is scarce. Therefore, the aim of the present study was to quantify microbial diversity in H. anatolicum using next-generation sequencing (NGS) technology. METHODS: Hyalomma anatolicum ticks were collected from livestock in the emirates of Abu Dhabi, Dubai and Sharjah in the UAE during 2019. DNA was extracted from 175 male ticks sampled from livestock (n = 78) and subjected to NGS. The 16S rRNA gene was analyzed using the Illumina MiSeq platform to determine the bacterial communities. Principal coordinates analysis (PCA) was performed to identify patterns of diversity in the bacterial communities. RESULTS: Twenty-six bacterial families with high relative abundance were identified, of which the most common were Staphylococcaceae, Francisellaceae, Corynebacteriaceae, Enterobacteriaceae, Moraxellaceae, Bacillaceae, Halomonadaceae, Xanthomonadaceae, Pseudomonadaceae, Enterococcaceae, Actinomycetaceae and Streptococcaceae. The diversity of the microbial communities in terms of richness and evenness was different at the three study locations, with the PCA showing clear clusters separating the microbial communities in ticks collected at Abu Dhabi, Dubai, and Sharjah. The presence of bacterial families harboring pathogenic genera showed that H. anatolicum could pose a potential threat to livestock and food security in the UAE. CONCLUSIONS: The study is the first to document important data on the microbial communities associated with H. anatolicum in the UAE. This knowledge will facilitate a better understanding of the distribution pattern of microbes in livestock ticks in the UAE and, ultimately, will aid in deciphering the relationships between microbes and in the exploration of potential factors towards developing effective management strategies. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-05144-z. BioMed Central 2022-01-20 /pmc/articles/PMC8772180/ /pubmed/35057842 http://dx.doi.org/10.1186/s13071-021-05144-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Perveen, Nighat
Muzaffar, Sabir Bin
Vijayan, Ranjit
Al-Deeb, Mohammad Ali
Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title_full Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title_fullStr Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title_full_unstemmed Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title_short Microbial composition in Hyalomma anatolicum collected from livestock in the United Arab Emirates using next-generation sequencing
title_sort microbial composition in hyalomma anatolicum collected from livestock in the united arab emirates using next-generation sequencing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772180/
https://www.ncbi.nlm.nih.gov/pubmed/35057842
http://dx.doi.org/10.1186/s13071-021-05144-z
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