Tick-borne pathogen detection: what's new?

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60077344:_____/18:00498466

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Tick-borne pathogen detection: what's new?

Popis výsledku v původním jazyce

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 &apos;single-pathogen&apos; 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.

Název v anglickém jazyce

Tick-borne pathogen detection: what's new?

Popis výsledku anglicky

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 &apos;single-pathogen&apos; 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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10606 - Microbiology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Microbes and Infection

ISSN

1286-4579

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

7-8

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

4

Strana od-do

441-444

Kód UT WoS článku

000449697200008

EID výsledku v databázi Scopus

2-s2.0-85053657210