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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
Sequencing ebola and marburg viruses genomes using microarrays
Justin Hardick1, Roman Woelfel2, Warren Gardner3
1Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Accurate identification of Ebola and Marburg viruses is crucial for outbreak containment. A sequencing-by-hybridization (SBH) technique using microarrays demonstrated high accuracy in identifying these hemorrhagic fever viruses.
Area of Science:
- Virology
- Genomics
- Infectious Diseases
Background:
- Ebola and Marburg hemorrhagic fevers are deadly viral diseases with high fatality rates.
- Periodic outbreaks in Africa and the 2014 West Africa Ebola outbreak highlight the global health risk.
- Rapid and precise identification of causative agents is essential for controlling viral hemorrhagic fever outbreaks.
Purpose of the Study:
- To describe and evaluate a sequencing-by-hybridization (SBH) technique for identifying Ebola and Marburg viruses.
- To assess the accuracy and efficiency of high-density microarrays in viral genome interrogation.
Main Methods:
- Utilized high-density microarrays designed for whole-genome sequencing-by-hybridization (SBH).
- Tested the SBH technique on three species of Ebolavirus (Reston, Sudan, Zaire) and three strains of Marburgvirus (Angola, Musoke, Ravn).
- Generated consensus sequences using multiple hybridization events.
Main Results:
- Achieved 92.1-98.9% accuracy across 95-99% of viral genomes with four or more hybridizations.
- Successfully distinguished between different strains of Lake Victoria Marburgvirus.
- Demonstrated the potential of SBH microarrays for rapid viral identification.
Conclusions:
- Sequencing-by-hybridization (SBH) with high-density microarrays is an accurate method for identifying Ebola and Marburg viruses.
- This technique aids in the early detection and containment of viral hemorrhagic fever outbreaks.
- SBH offers a valuable tool for distinguishing between closely related viral strains, crucial for epidemiological surveillance.
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