Tick-borne pathogen detection: what's new?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43897713" target="_blank" >RIV/60076658:12310/18:43897713 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/18:00498466
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S1286457918300042?token=48756CB884337F35C919C7A00D57E39153DF74C52D9AC0744996A0A7D061054C16D9E0D5526CFA5894AACA122ED3B633" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S1286457918300042?token=48756CB884337F35C919C7A00D57E39153DF74C52D9AC0744996A0A7D061054C16D9E0D5526CFA5894AACA122ED3B633</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.micinf.2017.12.015" target="_blank" >10.1016/j.micinf.2017.12.015</a>
Alternative languages
Result language
angličtina
Original language name
Tick-borne pathogen detection: what's new?
Original language description
Ticks and the pathogens they transmit constitute a growing burden for human and animal health worldwide. Traditionally, tick-borne pathogen detection has been carried out using PCR-based methods that rely in known sequences for specific primers design. This approach matches with the view of a 'single-pathogen' epidemiology. Recent results, however, have stressed the importance of coinfections in pathogen ecology and evolution with impact in pathogen transmission and disease severity. New approaches, including high-throughput technologies, were then used to detect multiple pathogens, but they all need a priori information on the pathogens to search. Thus, those approaches are biased, limited and conceal the complexity of pathogen ecology. Currently, next generation sequencing (NGS) is applied to tick-borne pathogen detection as well as to study the interactions between pathogenic and nonpathogenic microorganisms associated to ticks, the pathobiome. The use of NGS technologies have surfaced two major points: (i) ticks are associated to complex microbial communities and (ii) the relation between pathogens and microbiota is bidirectional. Notably, a new challenge emerges from NGS experiments, data analysis. Discovering associations among a high number of microorganisms is not trivial and therefore most current NGS studies report lists of microorganisms without further insights. An alternative to this is the combination of NGS with analytical tools such as network analysis to unravel the structure of microbial communities associated to ticks in different ecosystems. (C) 2018 Published by Elsevier Masson SAS on behalf of Institut Pasteur.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Microbes and Infection
ISSN
1286-4579
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
7-8
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
4
Pages from-to
441-444
UT code for WoS article
000449697200008
EID of the result in the Scopus database
2-s2.0-85053657210