Detection of Yellow Fever Virus by Quantitative Real-Time PCR (qPCR)

Author(s):  
Gisela Freitas Trindade ◽  
Sheila Maria Barbosa de Lima ◽  
Constança Britto ◽  
Alice Gomes Fernandes-Monteiro
2003 ◽  
Vol 110 (2) ◽  
pp. 185-191 ◽  
Author(s):  
Hi-Gung Bae ◽  
Andreas Nitsche ◽  
Anette Teichmann ◽  
Stefan S. Biel ◽  
Matthias Niedrig

2017 ◽  
Vol 23 (11) ◽  
pp. 1867-1871 ◽  
Author(s):  
Carlo Fischer ◽  
Maria C. Torres ◽  
Pranav Patel ◽  
Andres Moreira-Soto ◽  
Ernest A. Gould ◽  
...  

protocols.io ◽  
2018 ◽  
Author(s):  
Judy Northill ◽  
Alyssa Pyke ◽  
Ian Mackay

2018 ◽  
Vol 98 (6) ◽  
pp. 1833-1836 ◽  
Author(s):  
Alejandra Rojas ◽  
Cheikh T. Diagne ◽  
Victoria D. Stittleburg ◽  
Alisha Mohamed-Hadley ◽  
Yvalena Arévalo de Guillén ◽  
...  

2020 ◽  
Vol 103 (1) ◽  
pp. 157-159
Author(s):  
Victoria Stittleburg ◽  
Alejandra Rojas ◽  
Fátima Cardozo ◽  
Flor M. Muñoz ◽  
Edwin J. Asturias ◽  
...  

2019 ◽  
Author(s):  
Marta Giovanetti ◽  
Marcos Cesar Lima de Mendonça ◽  
Vagner Fonseca ◽  
Maria Angélica Mares-Guia ◽  
Allison Fabri ◽  
...  

ABSTRACTThe recent re-emergence of yellow fever virus (YFV) in Brazil has raised serious concerns due to the virus’ rapid dissemination in the southeastern region. To better understand YFV genetic diversity and dynamics during the recent outbreak in southeastern Brazil we generated 18 complete and near-complete genomes from the peak of the epidemic curve from non-human primates (NHPs) and human infected cases across Espírito Santo and Rio de Janeiro states. Genomic sequencing of 18 YFV genomes revealed the timing, source and likely routes of yellow fever virus transmission and dispersion during the one of the largest outbreaks ever registered in Brazil. We showed that the recent YFV epidemic spillover southwards several times from Minas Gerais to Espírito Santo and Rio de Janeiro states in 2016 to 2019. The quick production and analysis of data from portable sequencing could identify the corridor of spread of YFV. These findings reinforce that real-time and continued genomic surveillance strategies can assist in the monitoring and public health responses of arbovirus epidemics.IMPORTANCEArbovirus infections in Brazil including Yellow Fever, Dengue, Zika and Chikungunya result in considerable morbidity and mortality and are pressing public health concerns. However, our understanding of these outbreaks is hampered by limited availability of real time genomic data. In this study, we investigated the genetic diversity and spatial distribution of YFV during the current outbreak in southeastern Brazil. To gain insights into the routes of YFV introduction and dispersion, we tracked the virus by sequencing YFV genomes sampled from non-human primates and infected patients from the southeastern region. Our study provides an understanding of how YFV initiates transmission in new Brazilian regions and illustrates that near-real time genomics in the field can augment traditional approaches to infectious disease surveillance and control.


2018 ◽  
Vol 56 (6) ◽  
Author(s):  
Holly R. Hughes ◽  
Brandy J. Russell ◽  
Eric C. Mossel ◽  
John Kayiwa ◽  
Julius Lutwama ◽  
...  

ABSTRACT Yellow fever (YF) is a reemerging public health threat, with frequent outbreaks prompting large vaccination campaigns in regions of endemicity in Africa and South America. Specific detection of vaccine-related adverse events is resource-intensive, time-consuming, and difficult to achieve during an outbreak. To address this, we have developed a highly transferable rapid yellow fever virus (YFV) vaccine-specific real-time reverse transcription-PCR (RT-PCR) assay that distinguishes vaccine from wild-type lineages. The assay utilizes a specific hydrolysis probe that includes locked nucleic acids to enhance specific discrimination of the YFV17D vaccine strain genome. Promisingly, sensitivity and specificity analyses reveal this assay to be highly specific to vaccine strain(s) when tested on clinical samples and YFV cell culture isolates of global origin. Taken together, our data suggest the utility of this assay for use in laboratories of varied capacity for the identification and differentiation of vaccine-related adverse events from wild-type infections of both African and South American origin.


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