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Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China
BACKGROUND: Ticks (Arthropoda, Ixodida), after mosquitoes, are the second most prevalent vector of infectious diseases. They are responsible for spreading a multitude of pathogens and threatening the health and welfare of animals and human beings. However, given the history of tick-borne pathogen in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923491/ https://www.ncbi.nlm.nih.gov/pubmed/33648549 http://dx.doi.org/10.1186/s13071-021-04625-5 |
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author | Gui, Zheng Wu, Lin Cai, Hao Mu, Lan Yu, Jing-Feng Fu, Shao-Yin Si, Xiao-Yan |
author_facet | Gui, Zheng Wu, Lin Cai, Hao Mu, Lan Yu, Jing-Feng Fu, Shao-Yin Si, Xiao-Yan |
author_sort | Gui, Zheng |
collection | PubMed |
description | BACKGROUND: Ticks (Arthropoda, Ixodida), after mosquitoes, are the second most prevalent vector of infectious diseases. They are responsible for spreading a multitude of pathogens and threatening the health and welfare of animals and human beings. However, given the history of tick-borne pathogen infections in the Inner Mongolia Autonomous Region of China, surprisingly, neither the genetic diversity nor the spatial distribution of haplotypes within ticks has been studied. METHODS: We characterized the haplotype distribution of Dermacentor nuttalli in four main pastoral areas of the Inner Mongolia Autonomous Region, by sampling 109 individuals (recovered from sheep) in April–August 2019. The 16S rRNA gene, cytochrome c oxidase subunit I (COI), and the internal transcribed spacer 2 region (ITS2) were amplified and sequenced from extracted DNA. RESULTS: Twenty-six haplotypes were identified using 16S rRNA sequences, 57 haplotypes were identified with COI sequences, and 75 haplotypes were identified with ITS2 sequences. Among the three genes, total haplotype diversity was greater than 0.7, while total nucleotide diversity was greater than 0.06. Neutrality tests revealed a significantly negative Tajima’s D result, while Fu's Fs was not significantly positive. Fixation index values (F(ST)) indicated that the degree of genetic differentiation among some sampled populations was small, while for others it was moderate. Analysis of molecular variance (AMOVA) revealed that the variation within populations was greater than that among populations. The mismatch analysis of D. nuttalli exhibited double peaks. CONCLUSION: The genetic diversity of D. nuttalli populations in our region can likely adapt to different geographical environments, thereby leading to genetic diversity, and creating genetic differentiation among different populations. However, genetic differentiation is cryptic and does not form a pedigree geographical structure. [Image: see text] |
format | Online Article Text |
id | pubmed-7923491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79234912021-03-02 Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China Gui, Zheng Wu, Lin Cai, Hao Mu, Lan Yu, Jing-Feng Fu, Shao-Yin Si, Xiao-Yan Parasit Vectors Research BACKGROUND: Ticks (Arthropoda, Ixodida), after mosquitoes, are the second most prevalent vector of infectious diseases. They are responsible for spreading a multitude of pathogens and threatening the health and welfare of animals and human beings. However, given the history of tick-borne pathogen infections in the Inner Mongolia Autonomous Region of China, surprisingly, neither the genetic diversity nor the spatial distribution of haplotypes within ticks has been studied. METHODS: We characterized the haplotype distribution of Dermacentor nuttalli in four main pastoral areas of the Inner Mongolia Autonomous Region, by sampling 109 individuals (recovered from sheep) in April–August 2019. The 16S rRNA gene, cytochrome c oxidase subunit I (COI), and the internal transcribed spacer 2 region (ITS2) were amplified and sequenced from extracted DNA. RESULTS: Twenty-six haplotypes were identified using 16S rRNA sequences, 57 haplotypes were identified with COI sequences, and 75 haplotypes were identified with ITS2 sequences. Among the three genes, total haplotype diversity was greater than 0.7, while total nucleotide diversity was greater than 0.06. Neutrality tests revealed a significantly negative Tajima’s D result, while Fu's Fs was not significantly positive. Fixation index values (F(ST)) indicated that the degree of genetic differentiation among some sampled populations was small, while for others it was moderate. Analysis of molecular variance (AMOVA) revealed that the variation within populations was greater than that among populations. The mismatch analysis of D. nuttalli exhibited double peaks. CONCLUSION: The genetic diversity of D. nuttalli populations in our region can likely adapt to different geographical environments, thereby leading to genetic diversity, and creating genetic differentiation among different populations. However, genetic differentiation is cryptic and does not form a pedigree geographical structure. [Image: see text] BioMed Central 2021-03-01 /pmc/articles/PMC7923491/ /pubmed/33648549 http://dx.doi.org/10.1186/s13071-021-04625-5 Text en © The Author(s) 2021 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/. 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 in a credit line to the data. |
spellingShingle | Research Gui, Zheng Wu, Lin Cai, Hao Mu, Lan Yu, Jing-Feng Fu, Shao-Yin Si, Xiao-Yan Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title | Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title_full | Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title_fullStr | Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title_full_unstemmed | Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title_short | Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China |
title_sort | genetic diversity analysis of dermacentor nuttalli within inner mongolia, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923491/ https://www.ncbi.nlm.nih.gov/pubmed/33648549 http://dx.doi.org/10.1186/s13071-021-04625-5 |
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