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Routine Use of Microbial Whole Genome Sequencing in Diagnostic and Public Health Microbiology

TLDR
It is proposed that molecular epidemiology performed for surveillance and outbreak investigation and genotypic antimicrobial susceptibility testing for microbes that are difficult to grow represent the most immediate areas for application of WGS.
Abstract
Whole genome sequencing (WGS) promises to be transformative for the practice of clinical microbiology, and the rapidly falling cost and turnaround time mean that this will become a viable technology in diagnostic and reference laboratories in the near future. The objective of this article is to consider at a very practical level where, in the context of a modern diagnostic microbiology laboratory, WGS might be cost-effective compared to current alternatives. We propose that molecular epidemiology performed for surveillance and outbreak investigation and genotypic antimicrobial susceptibility testing for microbes that are difficult to grow represent the most immediate areas for application of WGS, and discuss the technical and infrastructure requirements for this to be implemented.

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The healthy human microbiome

TL;DR: Several definitions of a ‘healthy microbiome’ that have emerged are reviewed, the current understanding of the ranges of healthy microbial diversity, and gaps such as the characterization of molecular function and the development of ecological therapies to be addressed in the future are reviewed.

Antimicrobials: access and sustainable eff ectiveness 2 Understanding the mechanisms and drivers of antimicrobial resistance

TL;DR: To combat the threat to human health and biosecurity from antimicrobial resistance, an understanding of its mechanisms and drivers is needed, and broad ranging, multidisciplinary research is needed across these five levels.
References
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Journal ArticleDOI

Performance comparison of benchtop high-throughput sequencing platforms

TL;DR: The performance of these instruments were compared by sequencing an isolate of Escherichia coli O104:H4, which caused an outbreak of food poisoning in Germany in 2011, and the MiSeq had the highest throughput per run and lowest error rates.
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