Decoding Microbial Community Assembly: Insights on Vectors of Infectious Diseases
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F25%3A43910336" target="_blank" >RIV/60076658:12310/25:43910336 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.annualreviews.org/content/journals/10.1146/annurev-micro-082024-094943" target="_blank" >https://www.annualreviews.org/content/journals/10.1146/annurev-micro-082024-094943</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1146/annurev-micro-082024-094943" target="_blank" >10.1146/annurev-micro-082024-094943</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Decoding Microbial Community Assembly: Insights on Vectors of Infectious Diseases
Popis výsledku v původním jazyce
Vector-borne diseases (VBDs), which are caused by pathogens transmitted by vectors such as mosquitoes and ticks, account for more than 17% of infectious diseases and more than 700,000 deaths annually. The complexity of VBDs arises from ecological interactions among hosts, vectors, pathogens, and the environment, with vector microbiota playing a pivotal role in the modulation of vector competence. Advances in sequencing and in microbiome analysis have deepened our understanding of microbial community assembly within vectors and revealed opportunities for novel control strategies. Network analysis has become essential for uncovering microbial interactions and identifying keystone species that affect community stability and pathogen transmission. Despite progress, key challenges remain in deciphering the drivers of vector microbiota assembly. This review highlights factors shaping microbiota assembly, the potential of network analysis, and promising interventions such as antimicrobiota vaccines and paratransgenesis to reduce pathogen transmission. Future research should focus on standardizing methodologies and leveraging emerging technologies for effective and sustainable VBD control.
Název v anglickém jazyce
Decoding Microbial Community Assembly: Insights on Vectors of Infectious Diseases
Popis výsledku anglicky
Vector-borne diseases (VBDs), which are caused by pathogens transmitted by vectors such as mosquitoes and ticks, account for more than 17% of infectious diseases and more than 700,000 deaths annually. The complexity of VBDs arises from ecological interactions among hosts, vectors, pathogens, and the environment, with vector microbiota playing a pivotal role in the modulation of vector competence. Advances in sequencing and in microbiome analysis have deepened our understanding of microbial community assembly within vectors and revealed opportunities for novel control strategies. Network analysis has become essential for uncovering microbial interactions and identifying keystone species that affect community stability and pathogen transmission. Despite progress, key challenges remain in deciphering the drivers of vector microbiota assembly. This review highlights factors shaping microbiota assembly, the potential of network analysis, and promising interventions such as antimicrobiota vaccines and paratransgenesis to reduce pathogen transmission. Future research should focus on standardizing methodologies and leveraging emerging technologies for effective and sustainable VBD control.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10606 - Microbiology
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Annual Review of Microbiology
ISSN
0066-4227
e-ISSN
—
Svazek periodika
79
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
26
Strana od-do
547-572
Kód UT WoS článku
001600883600018
EID výsledku v databázi Scopus
2-s2.0-105019822545