Tracking ebolavirus genomic drift with a resequencing microarray.

Filoviruses are emerging pathogens that cause acute fever with high fatality rate and present a global public health threat. During the 2013-2016 Ebola virus outbreak, genome sequencing allowed the study of virus evolution, mutations affecting pathogenicity and infectivity, and tracing the viral spread. In 2018, early sequence identification of the Ebolavirus as EBOV in the Democratic Republic of the Congo supported the use of an Ebola virus vaccine. However, field-deployable sequencing methods are needed to enable a rapid public health response. Resequencing microarrays (RMA) are a targeted method to obtain genomic sequence on clinical specimens rapidly, and sensitively, overcoming the need for extensive bioinformatic analysis. This study presents the design and initial evaluation of an ebolavirus resequencing microarray (Ebolavirus-RMA) system for sequencing the major genomic regions of four Ebolaviruses that cause disease in humans. The design of the Ebolavirus-RMA system is described and evaluated by sequencing repository samples of three Ebolaviruses and two EBOV variants. The ability of the system to identify genetic drift in a replicating virus was achieved by sequencing the ebolavirus glycoprotein gene in a recombinant virus cultured under pressure from a neutralizing antibody. Comparison of the Ebolavirus-RMA results to the Genbank database sequence file with the accession number given for the source RNA and Ebolavirus-RMA results compared to Next Generation Sequence results of the same RNA samples showed up to 99% agreement.

Citation

Irina Tiper, Moussa Kourout, Bryan Lanning, Carolyn Fisher, Krishnamurthy Konduru, Anjan Purkayastha, Gerardo Kaplan, Robert Duncan. Tracking ebolavirus genomic drift with a resequencing microarray. PloS one. 2022;17(2):e0263732

Mesh Tags

Substances

PMID: 35143574

search → result