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Rapid metagenomic sequencing of clinical samples to detect emerging DNA and RNA viral pathogens

ABSTRACT: Rapid metagenomic sequencing of clinical samples to detect emerging DNA and RNA viral pathogens

PROVIDER: PRJNA847732 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR19646400_1.fastq.gz	Fastqsanger.gz
	SRR19646397_1.fastq.gz	Fastqsanger.gz
	SRR19646398_1.fastq.gz	Fastqsanger.gz
	SRR19646399_1.fastq.gz	Fastqsanger.gz
	SRR21589115_1.fastq.gz	Fastqsanger.gz

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Project description:BACKGROUND:Vector-borne pathogens are a significant public health concern worldwide. Infections with these pathogens, some of which are emerging, are likely under-recognized due to the lack of widely-available laboratory tests. There is an urgent need for further advancement in diagnostic modalities to detect new and known vector-borne pathogens. We evaluated the utility of metagenomic shotgun sequencing (MGS) as a pathogen agnostic approach for detecting vector-borne pathogens from human blood samples. METHODS:Residual whole blood samples from patients with known infection with Babesia microti, Borrelia hermsii, Plasmodium falciparum, Mansonella perstans, Anaplasma phagocytophilum or Ehrlichia chaffeensis were studied. Samples underwent DNA extraction, removal of human DNA, whole genome amplification, and paired-end library preparation, followed by sequencing on Illumina HiSeq 2500. Bioinformatic analysis was performed using the Livermore Metagenomics Analysis Toolkit (LMAT), Metagenomic Phylogenetic Analysis (MetaPhlAn2), Genomic Origin Through Taxonomic CHAllenge (GOTTCHA) and Kraken 2. RESULTS:Eight samples were included in the study (2 samples each for P. falciparum and A. phagocytophilum). An average of 27.5 million read pairs was generated per sample (range, 18.3-38.8 million) prior to removal of human reads. At least one of the analytic tools was able to detect four of six organisms at the genus level, and the organism present in five of eight specimens at the species level. Mansonella and Ehrlichia species were not detected by any of the tools; however, mitochondrial cytochrome c oxidase subunit I amino acid sequence analysis suggested the presence of M. perstans genetic material. CONCLUSIONS:MGS is a promising tool with the potential to evolve as a non-hypothesis driven diagnostic test to detect vector-borne pathogens, including protozoa and helminths.

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