July 28, 2011
BGI Reports Rapid Open-Source Genomic Analyses Accelerated Global Studies On Deadly E. Coli O104:H4
BGI, the world's largest genomic organization in the world, today announced that the study on Genomic Analysis of Shiga Toxin-Producing Escherichia coli O104:H4, conducted by BGI and its collaborators, was published online today in The New England Journal of Medicine (NEJM). The study involved the use of rapid, bench-top DNA sequencing technology, open-source data release and fast crowd-sourced analyses, and revealed for the first time that rapid open-source analysis of an outbreak-associated bacterial pathogen can play a significant role in public health emergencies.
An outbreak caused by an unusual Shiga toxin-producing E. coli O104:H4 occurred in Germany beginning in May 2011. As of July 21, more than 4,000 people were infected, 50 of whom died. BGI sequenced the genome of E. coli isolate within three days, using the Ion Torrent Personal Genome Machine and in less than a week, researchers found that the strain belonged to an enteroaggregative E. coli lineage containing genes for Shiga toxin 2 and resistant to several types of antibiotics. Scores of scientists all over the world rushed to the genomic studies of the lethal bacterium sequenced and analyzed by BGI and its collaborators in University Medical Centre Hamburg"“Eppendorf, Beijing Institute of Microbiology and Epidemiology, China CDC, among others.
Professor Ruifu Yang, Research fellow at the Beijing Institute of Microbiology and Epidemiology, said, "This study not only lays an important foundation for tracing down the evolutionary origins and pathogenic potential of this epidemics strain but also opens a way to countermeasure infectious diseases by a new model of international collaboration."
The genomic analysis suggests that the E. coli O104:H4 evolved from a progenitor of enteroaggregative E. coli through acquisition of an stx2-encording prophage and a plasmid encoding a CTX-M15 extended-spectrum beta-lactamase (ESBL) gene. "Genome sequencing provides the foundation to identify and characterize novel pathogens, while the open-source genomic analysis via data sharing in the community can greatly accelerate the process and facilitate diagnostic and treatment applications in public health problems," said professor Jun Wang, Executive Director of BGI.
On the Net: