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ID deadly pathogens without growing bacteria
Metagenomics has allowed researchers to reconstruct the genome sequence of a deadly Shiga-toxigenic E. coli outbreak without having to grow bacteria in the lab.

“The outbreak of Shiga-toxigenic Escherichia coli illustrated the effects of a bacterial epidemic on a wealthy, modern, industrialized society, with more than 3,000 cases and more than 50 deaths reported in Germany between May and June of 2011,” says Mark Pallen, professor of microbial genomics at Warwick Medical School.

“During an outbreak such as this, rapid and accurate pathogen identification and characterization is essential for the management of individual cases and the outbreak as a whole.

“Traditionally, clinical bacteriology has relied primarily on laboratory isolation of bacteria in pure culture to identify and characterize an outbreak strain.”

The team of researchers was able to reconstruct the genome sequence through the direct sequencing of DNA extracted from microbiologically complex samples.

The study, published in a genomics-themed issue of JAMA, highlights the potential of this approach to identify and characterize bacterial pathogens directly from clinical specimens.

Metagenomics has been used previously in a clinical diagnostic setting to identify the cause of outbreaks of viral infection, but this is its first reported use in an outbreak of bacterial infection.

Often, the process of laboratory culture proves slow and the recognition of an outbreak strain can be difficult if it belongs to an unknown variety or species for which specific laboratory tests and diagnostic criteria don’t already exist.

“There are numerous drawbacks to the use of nineteenth-century approaches such as microscopy and culture when it comes to classification,” says Pallen.

“Our results illustrate the potential of metagenomics as an open-ended, culture-independent approach for the identification and characterization of bacterial pathogens during an outbreak. There are challenges, of course, including speeding up and simplifying workflows, reducing costs, and improving diagnostic sensitivity."

“However, given the dizzying pace of progress in high-throughput sequencing, these are not likely to remain problems for very long.”

Researchers from the University of Birmingham, the University of Glasgow, the University Medical Centre Hamburg-Eppendorf in Germany and the sequencing company Illumina contributed to the findings.

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APBN Editorial Calendar 2017
January:
Lungs & Respiratory System
February:
Cancer Research, Treatment/Technology
March:
Traditional Chinese Medicines
April:
Eye Care/ Eye Health
May:
The Piece of Your Mind - Brain Health/Science
June:
Featuring Biotech Start-Ups/Companies
July:
Food Science & Technology
August:
Diabetics Technology
September:
No. 1 Killer - Heart Diseases, Diagnosis and Treatment
October:
Skin Diseases/Allergic Reactions
November:
Diseases threatening our Children
December:
Liver Health & Treatment/Technology
Editorial calendar is subjected to changes.
– Editor: Carmen, Jia Wen Loh
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