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Jerome Bouquet

Publications and source records attributed to Jerome Bouquet.

2 recordsLinked to original sources

Clinical metagenomic identification of Balamuthia mandrillaris encephalitis and assembly of the draft genome: the critical need for reference strain sequencing

Primary amoebic meningoencephalitis (PAM) is a rare, often lethal cause of encephalitis, for which early diagnosis and prompt initiation of combination antimicrobials may improve clinical outcomes. In this study, we present the first draft assembly of the Balamuthia mandrillaris genome recovered from a rare survivor of PAM, in total comprising 49 Mb of sequence. Comparative analysis of the mitochondrial genome and high-copy number genes from 6 additional Balamuthia mandrillaris strains demonstrated remarkable sequence variation, with the closest homologs corresponding to other amoebae, hydroids, algae, slime molds, and peat moss. We also describe the use of unbiased metagenomic next-generation sequencing (NGS) and SURPI bioinformatics analysis to diagnose an ultimately fatal case of Balamuthia mandrillaris encephalitis in a 15-year old girl. Real-time NGS testing of a hospital day 6 CSF sample detected Balamuthia on the basis of high-quality hits to 16S and 18S ribosomal RNA sequences present in the National Center for Biotechnology Information (NCBI) nt reference database. Retrospective analysis of a day 1 CSF sample revealed that more timely identification of Balamuthia by metagenomic NGS, potentially resulting in a better outcome, would have required availability of the complete genome sequence. These results underscore the diverse evolutionary origins underpinning this eukaryotic pathogen, and the critical importance of whole-genome reference sequences for microbial detection by NGS.

Genomics

Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis

We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples by MinION nanopore sequencing coupled to a newly developed, web-based pipeline for real-time bioinformatics analysis on a computational server or laptop (MetaPORE). At titers ranging from 107-108 copies per milliliter, reads to EBOV from two patients with acute hemorrhagic fever and CHIKV from an asymptomatic blood donor were detected within 4 to 10 minutes of data acquisition, while lower titer HCV virus (1x105 copies per milliliter) was detected within 40 minutes. Analysis of mapped nanopore reads alone, despite an average individual error rate of 24% [range 8-49%], permitted identification of the correct viral strain in all 4 isolates, and 90% of the genome of CHIKV was recovered with >98% accuracy. Using nanopore sequencing, metagenomic detection of viral pathogens directly from clinical samples was performed within an unprecedented <6 hours sample-to-answer turnaround time and in a timeframe amenable for actionable clinical and public health diagnostics.

Genomics