Application of 16S rRNA next generation sequencing in ticks in Greece

被引:6
作者
Papa, Anna [1 ]
Tsioka, Katerina [1 ]
Daskou, Maria-Antonia [1 ]
Minti, Fani [1 ]
Papadopoulou, Elpida [1 ]
Melidou, Ageliki [1 ]
Giadinis, Nektarios [2 ]
机构
[1] Aristotle Univ Thessaloniki, Med Sch, Dept Microbiol, Thessaloniki, Greece
[2] Aristotle Univ Thessaloniki, Fac Vet Med, Clin Farm Anim, Thessaloniki, Greece
基金
欧盟地平线“2020”;
关键词
Microbiology; Epidemiology; Infectious disease; Laboratory medicine; Medical microbiology; Microbiology epidemiology; Ticks; Bacteria; 16S rRNA; Next generation sequencing; Bacteriome; Greece; MIDICHLORIA-MITOCHONDRII; ENDOSYMBIONT;
D O I
10.1016/j.heliyon.2020.e04542
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tick-borne bacteria pose a significant threat to human and veterinary public health. Greece is a Mediterranean country with rich tick fauna and the most commonly detected tick-borne bacterial pathogens are members of the Rickettsia and Anaplasma species. The variable V2-V4 and V6-V9 regions of 16S rRNA gene of seven ticks belonging to four genera representative in Greece (Ixodes, Rhipicephalus, Dermacentor, Haemophyssalis) were analysed using multiple primer pairs by next generation sequencing (NGS). Nine bacterial phyla corresponding to 95 families, 116 genera and 172 species were identified. Proteobacteria was the predominant phylum in five of the seven ticks, followed by Actinobacteria, which predominated in two ticks. The tick-borne bacteria included Rickettsia and Anaplasma species, while "Candidatus Midichloria mitochondrii" were detected in high abundance in I. ricinus ticks and less in Rhipicephalus bursa; Coxiella-like endosymbionts were detected in Rh. sanguineus, H. parva, and less in Rh. bursa ticks. Co-infections with Rickettsia and Anaplasma were also observed. 16S rRNA NGS is a powerful tool to investigate the tick bacteriome and can improve the strategies for prevention and control of tick-borne diseases.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] The prevalence of novel periodontal pathogens and bacterial complexes in Stage II generalized periodontitis based on 16S rRNA next generation sequencing
    Abu Fanas, Salem
    Brigi, Carel
    Varma, Sudhir Rama
    Desai, Vijay
    Senok, Abiola
    D'souza, Jovita
    JOURNAL OF APPLIED ORAL SCIENCE, 2021, 29
  • [22] Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing
    Regueira-Iglesias, Alba
    Vazquez-Gonzalez, Lara
    Balsa-Castro, Carlos
    Blanco-Pintos, Triana
    Vila-Blanco, Nicolas
    Jose Carreira, Maria
    Tomas, Inmaculada
    MICROBIOLOGY SPECTRUM, 2023, 11 (02):
  • [23] Corneal bacterial microbiome in patients with keratoconus using next-generation sequencing-based 16S rRNA gene analysis
    Tunc, Ugur
    Celebi, A. R. Cenk
    Ekren, Berkay Yekta
    Yildirim, Yusuf
    Yildiz, Burcin Kepez
    Okullu, Sinem Oktem
    Sezerman, Osman Ugur
    EXPERIMENTAL EYE RESEARCH, 2023, 228
  • [24] Inguinal microbiome in patients undergoing an endovascular aneurysm repair: Application of next-generation sequencing of the 16S-23S rRNA regions
    Vierhout, B. P.
    Ott, A.
    Kruithof, I.
    Wisselink, G.
    van Zanten, E.
    Kooistra-Smid, A. M. D.
    Zeebregts, C. J.
    Pol, R. A.
    MEDICAL HYPOTHESES, 2019, 132
  • [25] 16S rRNA metabarcoding for the identification of tick-borne bacteria in ticks in the Republic of Korea
    Alkathiri, Badriah
    Lee, Subin
    Ahn, Kyusung
    Cho, Yun Sang
    Youn, So Youn
    Seo, Kwangwon
    Umemiya-Shirafuji, Rika
    Xuan, Xuenan
    Kwak, Dongmi
    Shin, Sungshik
    Lee, Seung-Hun
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [26] Targeting the 16S rRNA Gene by Reverse Complement PCR Next-Generation Sequencing: Specific and Sensitive Detection and Identification of Microbes Directly in Clinical Samples
    Moorlag, Simone J. C. F. M.
    Coolen, Jordy P. M.
    van den Bosch, Bart
    Jin, Elisabeth Hui-Mei
    Buil, Jochem B. B.
    Wertheim, Heiman F. L.
    Melchers, Willem J. G.
    MICROBIOLOGY SPECTRUM, 2023, 11 (03):
  • [27] Detection of 16S rRNA and KPC Genes from Complex Matrix Utilizing a Molecular Inversion Probe Assay for Next-Generation Sequencing
    Stefan, Christopher P.
    Hall, Adrienne T.
    Minogue, Timothy D.
    SCIENTIFIC REPORTS, 2018, 8
  • [28] In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea
    Alba Regueira-Iglesias
    Lara Vázquez-González
    Carlos Balsa-Castro
    Nicolás Vila-Blanco
    Triana Blanco-Pintos
    Javier Tamames
    Maria José Carreira
    Inmaculada Tomás
    Microbiome, 11
  • [29] In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea
    Regueira-Iglesias, Alba
    Vazquez-Gonzalez, Lara
    Balsa-Castro, Carlos
    Vila-Blanco, Nicolas
    Blanco-Pintos, Triana
    Tamames, Javier
    Jose Carreira, Maria
    Tomas, Inmaculada
    MICROBIOME, 2023, 11 (01)
  • [30] Instruction of microbiome taxonomic profiling based on 16S rRNA sequencing
    Hyojung Kim
    Sora Kim
    Sungwon Jung
    Journal of Microbiology, 2020, 58 : 193 - 205