scholarly journals Temporal phylogeny and molecular characterization of echovirus 30 associated with aseptic meningitis outbreaks in China

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Xiaoling Tian ◽  
Zhenzhi Han ◽  
Yulong He ◽  
Qiang Sun ◽  
Wenrui Wang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Aseptic Meningitis ◽  
Inner Mongolia ◽  
Etiologic Agent ◽  
Gansu Province ◽  
Isolation And Identification ◽  
Echovirus 30 ◽  
Lineage 2 ◽  
Inner Mongolia Autonomous Region ◽  
Epidemiological Characteristics

Abstract Background An outbreak of aseptic meningitis occurred from June to August 2016, in Inner Mongolia Autonomous Region, China. Methods To determine its epidemiological characteristics, etiologic agent, and possible origin, specimens were collected for virus isolation and identification, followed by molecular epidemiological analysis. Results A total of 363 patients were clinically diagnosed from June 1st to August 31st 2016, and most cases (63.1%, n = 229) were identified between June 22nd and July 17th, with children aged 6 to 12 years constituting the highest percentage (68.9%, n = 250). All viral isolates from this study belonged to genotype C of echovirus 30 (E30), which dominated transmission in China. To date, two E30 transmission lineages have been identified in China, of which Lineage 2 was predominant. We observed fluctuant progress of E30 genetic diversity, with Lineage 2 contributing to increased genetic diversity after 2002, whereas Lineage 1 was significant for the genetic diversity of E30 before 2002. Conclusions We identified the epidemiological and etiological causes of an aseptic meningitis outbreak in Inner Mongolia in 2016, and found that Lineage 2 played an important role in recent outbreaks. Moreover, we found that Gansu province could play an important role in E30 spread and might be a possible origin site. Furthermore, Fujian, Shandong, Taiwan, and Zhejiang provinces also demonstrated significant involvement in E30 evolution and persistence over time in China.

scholarly journals Temporal Phylogeny and Molecular Characterization of Echovirus 30 Associated With Aseptic Meningitis Outbreaks in China

2021 ◽  
Author(s):  
Xiaoling Tian ◽  
Zhenzhi Han ◽  
Yulong He ◽  
Qiang Sun ◽  
Wenrui Wang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Aseptic Meningitis ◽  
Inner Mongolia ◽  
Etiologic Agent ◽  
Gansu Province ◽  
Isolation And Identification ◽  
Echovirus 30 ◽  
Lineage 2 ◽  
Inner Mongolia Autonomous Region ◽  
Epidemiological Characteristics

Abstract BackgroundAn outbreak of aseptic meningitis occurred from June to August 2016, in Inner Mongolia Autonomous Region, China. MethodsTo determine its epidemiological characteristics, etiologic agent, and possible origin, specimens were collected for virus isolation and identification, followed by molecular epidemiological analysis. ResultsMost cases (63.1%, n = 229) were identified between June 22nd and July 17th, with children aged 6 to 12 years constituting the highest percentage (68.9%, n = 250). All viral isolates from this study belonged to genotype C of echovirus 30 (E-30), which dominated transmission in China. To date, two E-30 transmission lineages have been identified in China, of which Lineage 2 was predominant. We observed fluctuant progress of E-30 genetic diversity, with Lineage 2 contributing to increased genetic diversity after 2002, whereas Lineage 1 was significant for the genetic diversity of E-30 before 2002. ConclusionsWe identified the epidemiological and etiological causes of an aseptic meningitis outbreak in Inner Mongolia in 2016, finding that Lineage 2 played an important role in recent outbreaks. Moreover, we found that Gansu province could play an important role in E-30 spread and might be a possible origin site. Furthermore, Fujian, Shandong, Taiwan, and Zhejiang provinces also demonstrated significant involvement in E-30 evolution and persistence over time in China.

Genetic diversity of echovirus 30 involved in aseptic meningitis cases in Brazil (1998-2008)

2011 ◽  
Vol 83 (12) ◽  
pp. 2164-2171 ◽  
Author(s):  
Gina Peres Lima dos Santos ◽  
Eliane Veiga da Costa ◽  
Fernando Neto Tavares ◽  
Luciana Jesus da Costa ◽  
Edson Elias da Silva
Keyword(s):  
Genetic Diversity ◽  
Aseptic Meningitis ◽  
Echovirus 30

scholarly journals Genetic diversity analysis of Dermacentor nuttalli within Inner Mongolia, China

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Zheng Gui ◽  
Lin Wu ◽  
Hao Cai ◽  
Lan Mu ◽  
Jing-Feng Yu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
16S Rrna ◽  
Genetic Differentiation ◽  
Inner Mongolia ◽  
Haplotype Diversity ◽  
Fixation Index ◽  
Rrna Gene ◽  
Human Beings ◽  
Autonomous Region ◽  
Inner Mongolia Autonomous Region

Abstract 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 (FST) 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.

scholarly journals Genetic Diversity Analysis of Dermacentor Nuttalli within Inner Mongolia, China

2020 ◽  
Author(s):  
Zheng Gui ◽  
Lin Wu ◽  
Hao Cai ◽  
Fu-Shaoyin ◽  
Jing Feng Yu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Differentiation ◽  
Inner Mongolia ◽  
Haplotype Diversity ◽  
Fixation Index ◽  
Rrna Gene ◽  
Human Beings ◽  
Autonomous Region ◽  
Negative Results ◽  
Inner Mongolia Autonomous Region

Abstract BackgroundTicks (Arthropoda, Ixodida), after mosquitoes, are the next most prevalent vector of infectious diseases; and are responsible for spreading a multitude of pathogens and threatening the health and welfare of animals and human beings. Yet, given the history of tick-borne pathogen infections in the Inner Mongolia Autonomous region of China, 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, and the Internal Transcribed Spacer 2 region were amplified and sequenced from extracted DNA.Results 82 haplotypes were identified, the most prevalent of which was H32. 12 sequences (11 of all sequences) represented the most abundant haplotypes, with a highly scattered distribution. Total haplotype diversity was 0.98318, while total nucleotide diversity was 0.11369. Neutrality tests revealed negative results in the four locations analyzed, which is indicative of an excess of recently derived haplotypes. Fixation index values (FST) indicate that the degree of genetic differentiation amongst some sampled populations were small, while others were moderate. 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 amongst different populations. However, genetic differentiation is cryptic and does not form the pedigree geographical structure.

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