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Related Experiment Video

Updated: Oct 4, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

Tracking ebolavirus genomic drift with a resequencing microarray.

Irina Tiper¹, Moussa Kourout¹, Bryan Lanning¹

¹Division of Emerging and Transfusion-Transmitted Diseases, Office of Blood Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States of America.

|February 10, 2022

Summary

This study introduces a novel ebolavirus resequencing microarray (Ebolavirus-RMA) for rapid, sensitive genomic sequencing of filoviruses. The Ebolavirus-RMA system demonstrates high accuracy, aiding public health responses to emerging viral threats.

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Last Updated: Oct 4, 2025

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Published on: July 2, 2016

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Published on: March 11, 2020

Area of Science:

Virology
Genomics
Public Health

Background:

Filoviruses, including Ebola virus (EBOV), are emerging pathogens causing high-fatality fevers and posing global health risks.
Genome sequencing was crucial during past outbreaks for understanding virus evolution and spread, but rapid, field-deployable methods are needed.
Early identification of EBOV in the DRC in 2018 highlighted the need for swift diagnostic tools to support interventions like vaccination.

Purpose of the Study:

To design and evaluate a novel ebolavirus resequencing microarray (Ebolavirus-RMA) system.
To enable rapid and sensitive genomic sequencing of major regions from four disease-causing Ebolaviruses.
To assess the system's utility for detecting viral genetic drift and supporting public health surveillance.

Main Methods:

Design and implementation of a targeted Ebolavirus-RMA system.
Sequencing of repository samples from three Ebolaviruses and two EBOV variants.
Evaluation of genetic drift detection using a recombinant virus under neutralizing antibody pressure.
Comparison of Ebolavirus-RMA results with GenBank sequences and Next-Generation Sequencing (NGS) data.

Main Results:

The Ebolavirus-RMA system was successfully designed and evaluated using diverse Ebolavirus samples.
The system demonstrated the ability to identify genetic drift in viral sequences.
Comparisons showed up to 99% agreement between Ebolavirus-RMA results and established sequencing databases (GenBank) and NGS.

Conclusions:

The Ebolavirus-RMA system offers a rapid, sensitive, and accurate method for sequencing key Ebolavirus genomic regions.
This technology can significantly enhance field-deployable surveillance and response capabilities for filovirus outbreaks.
The Ebolavirus-RMA system holds promise for improving public health preparedness against emerging viral threats.