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Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China

文献类型: 外文期刊

作者: Gui, Zheng 1 ; Wu, Lin 1 ; Cai, Hao 1 ; Mu, Lan 2 ; Yu, Jing-Feng 2 ; Fu, Shao-Yin 3 ; Si, Xiao-Yan 4 ;

作者机构: 1.Inner Mongolia Med Univ, Grad Sch, Hohhot 010059, Inner Mongolia, Peoples R China

2.Inner Mongolia Med Univ, Dept Parasitol, Hohhot 010110, Inner Mongolia, Peoples R China

3.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010031, Inner Mongolia, Peoples R China

4.Inner Mongolia Ctr Dis Control & Prevent, Hohhot 010000, Inner Mongolia, Peoples R China

关键词: Inner Mongolia; Dermacentor nuttalli; Haplotype; Genetic diversity

期刊名称:PARASITES & VECTORS ( 影响因子:3.876; 五年影响因子:3.959 )

ISSN: 1756-3305

年卷期: 2021 年 14 卷 1 期

页码:

收录情况: SCI

摘要: BackgroundTicks (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.MethodsWe 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.ResultsTwenty-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.ConclusionThe 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.

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