Table 1.
Use of whole genome sequencing in outbreak investigation
Time period | Location, Country | Pathogens | Application ofWGS | WGS isolates | Sequencer | Source of the outbreak | Comments | Ref. |
---|---|---|---|---|---|---|---|---|
2011 | Germany | E.coli O104:H4 | Real time | 1 | Illumina | contaminated imported seeds | The outbreak strain belonged to enteroaggregative E. coli lineage and had acquired Shiga toxin 2 and antibiotic resistance genes. | [1] |
2011 | Germany | E.coli O104:H4 | Real time | 12 | PacBio RS | contaminated imported seeds | The outbreak strain was different from other O104:H4 clone in containing prophage encoding Shiga toxin 2, additional virulence and antibiotic resistance factors. | [2] |
2011 | Germany | E. coli O104:H4 | Real time | 15 | Illumina | contaminated imported seeds | The outbreak strains from Germany and France were clonally related to E coli O104:H4 from African countries. | [3*] |
2009 | Surrey, UK | E. coli O517:H7 | Real time | 16 | 454 pyrosequencing and Illumina | animal in a farm | WGS showed gross contamination of the outbreak strain across a farm that had been epidemiologically linked to human cases. | [4**] |
2010 | Artibonite, Haiti | Vibrio cholerae | Real time | 5 | PacBio RS | The outbreak strain is closely related to pandemic El Tor O1 strain. | [5] | |
2009 | Cambridge, UK | Staphylococcus aureus | Retrospective | 14 | Illumina | nosocomial transmission | WGS showed a clear distinction between isolates in the outbreak and non-outbreak group. | [6**] |
2011 | Cambridge, UK | Staphylococcus aureus | Real time | 15 | Illumina | nosocomial transmission | WGS identified the transmission of bacteria among patients, which could not be confirmed with conventional method. | [7**] |
1982-2003 2006-2007 |
ST239 worldwide | Staphylococcus aureus | Retrospective | 46 | Illumina | WGS data was used to estimate the time frame for the emergence of a bacterial pathogen clone and its evolution during epidemic spread. | [8] | |
2006-2008 | Canada | Mycobacterium tuberculosis | transmission | WGS allowed for differentiation of the outbreak isolates into two distinct genetic lineages of M. tuberculosis that | [9] | |||
1994-2011 | Birmingham, Leicester, UK | Mycobacterium tuberculosis | Retrospective | 390 | Illumina | person-to-person tramission | WGS revealed no more than 5 SNPs separating epidemiologically-linked isolates. | [10**] |
1997-2010 | Hamburg, Germany | Mycobacterium tuberculosis | Retrospective | 86 | 454 pyrosequencing | person-to-person transmission | WGS provides a measure of M. tuberculosis genome evolution over time in its natural host context. | [11] |
2007-2011 | Cambridge, UK | Mycobacterium abscessus | Retrospective | 168 | Illumina | person-to-person transmission | WGS showed person-person transmission of drug- resistant M. abscessus between cystic fibrosis patients. | [12**] |
2011-2012 | NewYork, US | Klebsiella pneumonia | Retrospective | 18 | 454 pyrosequencing | nosocomial transmission | Three independent transmission events from isolates colonizing the different body sites of the index patient to the other cases were revealed by WGS. | [13**] |
2011 | Missouri, US | Apophysomyces trapeziformis | Real time | 18 | Illumina | environmental molds | WGS identified 4 different types of Apophysomyces trapeziformis that caused the mycormycosis outbreak. | [14**] |