Literature DB >> 33386513

Metagenomic deep sequencing obtains taxonomic and functional profiles of Haemaphysalis longicornis that vary in response to different developmental stages and sexes.

Ruiling Zhang1,2, Qian Zhang3,4, Guangfu Yu3,4, Zhong Zhang5,6.   

Abstract

Ticks can transmit numerous pathogens and harbor diverse microbial communities. Considerable progress has been made in the characterization of the bacterial profiles of ticks, whereas other members of tick microbiota (such as fungi and viruses) and the functional characteristics of ticks warrant further exploration. To investigate the taxonomic and functional profiles and explore potential pathogens they were carrying, samples of different developmental stages and of both sexes of Haemaphysalis longicornis were collected in the present study and the metagenomic deep sequencing method was applied. Metagenomic deep sequencing results revealed that bacteria were predominant, followed by fungi, viruses, archaea and metazoans. Proteobacteria was the dominant phylum in the microbiota of H. longicornis. The abundance of microbial species varied significantly among groups, the bacteria of nymphs and female adults demonstrated unique characteristics, and the microbial community of males overlapped with those of nymphs and females. Functional annotation results demonstrated that the metagenomic sequences of the three groups were classified under metabolism, genetic information processing, environmental information processing and cellular processes. Differences in functional characteristics were observed in both the pathways composition and abundance of carbohydrate-active enzymes. Furthermore, whole metagenome sequencing helped to elucidate the diversity of pathogens carried by H. longicornis, which may facilitate further research attempting to prevent and control tick-borne diseases.

Entities:  

Keywords:  Metagenome; Microbiota; Sex-specific; Stage-specific; Ticks

Year:  2021        PMID: 33386513     DOI: 10.1007/s10493-020-00582-3

Source DB:  PubMed          Journal:  Exp Appl Acarol        ISSN: 0168-8162            Impact factor:   2.132


  44 in total

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Journal:  Annu Rev Entomol       Date:  2004       Impact factor: 19.686

2.  Pathogen-mediated manipulation of arthropod microbiota to promote infection.

Authors:  Nabil M Abraham; Lei Liu; Brandon Lyon Jutras; Akhilesh K Yadav; Sukanya Narasimhan; Vissagan Gopalakrishnan; Juliana M Ansari; Kimberly K Jefferson; Felipe Cava; Christine Jacobs-Wagner; Erol Fikrig
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

3.  A metagenomic survey identifies Tamdy orthonairovirus as well as divergent phlebo-, rhabdo-, chu- and flavi-like viruses in Anatolia, Turkey.

Authors:  Annika Brinkmann; Ender Dinçer; Ceylan Polat; Olcay Hekimoğlu; Sabri Hacıoğlu; Katalin Földes; Aykut Özkul; İbrahim Mehmet Ali Öktem; Andreas Nitsche; Koray Ergünay
Journal:  Ticks Tick Borne Dis       Date:  2018-04-27       Impact factor: 3.744

4.  Microbial communities and interactions in the lone star tick, Amblyomma americanum.

Authors:  K Clay; O Klyachko; N Grindle; D Civitello; D Oleske; C Fuqua
Journal:  Mol Ecol       Date:  2008-10       Impact factor: 6.185

Review 5.  Overview: Ticks as vectors of pathogens that cause disease in humans and animals.

Authors:  Jose de la Fuente; Agustin Estrada-Pena; Jose M Venzal; Katherine M Kocan; Daniel E Sonenshine
Journal:  Front Biosci       Date:  2008-05-01

Review 6.  The Tick Microbiome: Why Non-pathogenic Microorganisms Matter in Tick Biology and Pathogen Transmission.

Authors:  Sarah I Bonnet; Florian Binetruy; Angelica M Hernández-Jarguín; Olivier Duron
Journal:  Front Cell Infect Microbiol       Date:  2017-06-08       Impact factor: 5.293

7.  Acute Thrombocytopenia, Leucopenia, and Multiorgan Dysfunction: The First Case of SFTS Bunyavirus outside China?

Authors:  Srdjan Denic; Joumana Janbeih; Suresh Nair; Walter Conca; Waheed Uz Zaman Tariq; Suhail Al-Salam
Journal:  Case Rep Infect Dis       Date:  2011-10-12

8.  Tick-borne pathogens and associated co-infections in ticks collected from domestic animals in central China.

Authors:  Zhuo Chen; Qin Liu; Ji-Qi Liu; Bian-Li Xu; Shan Lv; Shang Xia; Xiao-Nong Zhou
Journal:  Parasit Vectors       Date:  2014-05-22       Impact factor: 3.876

9.  VFDB 2016: hierarchical and refined dataset for big data analysis--10 years on.

Authors:  Lihong Chen; Dandan Zheng; Bo Liu; Jian Yang; Qi Jin
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

Review 10.  Tick-Pathogen Interactions and Vector Competence: Identification of Molecular Drivers for Tick-Borne Diseases.

Authors:  José de la Fuente; Sandra Antunes; Sarah Bonnet; Alejandro Cabezas-Cruz; Ana G Domingos; Agustín Estrada-Peña; Nicholas Johnson; Katherine M Kocan; Karen L Mansfield; Ard M Nijhof; Anna Papa; Nataliia Rudenko; Margarita Villar; Pilar Alberdi; Alessandra Torina; Nieves Ayllón; Marie Vancova; Maryna Golovchenko; Libor Grubhoffer; Santo Caracappa; Anthony R Fooks; Christian Gortazar; Ryan O M Rego
Journal:  Front Cell Infect Microbiol       Date:  2017-04-07       Impact factor: 5.293

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