Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Research

Microevolutionary analysis of Clostridium difficile genomes to investigate transmission

Xavier Didelot1*, David W Eyre23, Madeleine Cule1, Camilla LC Ip1, M Azim Ansari1, David Griffiths23, Alison Vaughan23, Lily O'Connor3, Tanya Golubchik1, Elizabeth M Batty1, Paolo Piazza4, Daniel J Wilson24, Rory Bowden134, Peter J Donnelly14, Kate E Dingle35, Mark Wilcox67, A Sarah Walker238, Derrick W Crook23, Tim E A Peto23 and Rosalind M Harding9*

Author Affiliations

1 Department of Statistics, University of Oxford, 1 South Parks Road, Oxford OX1 3TG, UK

2 Nuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK

3 Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK

4 Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK

5 Nuffield Department of Clinical Laboratory Sciences, Headley Way, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK

6 Department of Microbiology, The General Infirmary, Old Medical School, Great George Street, Leeds LS1 3EX, UK

7 Leeds Institute of Molecular Medicine, University of Leeds, Beckett Street, Leeds LS9 7TF, UK

8 MRC Clinical Trials Unit, 125 Kingsway, London, WC2B 6NH, UK

9 Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK

For all author emails, please log on.

Genome Biology 2012, 13:R118  doi:10.1186/gb-2012-13-12-r118

Published: 21 December 2012

Abstract

Background

The control of Clostridium difficile infection is a major international healthcare priority, hindered by a limited understanding of transmission epidemiology for these bacteria. However, transmission studies of bacterial pathogens are rapidly being transformed by the advent of next generation sequencing.

Results

Here we sequence whole C. difficile genomes from 486 cases arising over four years in Oxfordshire. We show that we can estimate the times back to common ancestors of bacterial lineages with sufficient resolution to distinguish whether direct transmission is plausible or not. Time depths were inferred using a within-host evolutionary rate that we estimated at 1.4 mutations per genome per year based on serially isolated genomes. The subset of plausible transmissions was found to be highly associated with pairs of patients sharing time and space in hospital. Conversely, the large majority of pairs of genomes matched by conventional typing and isolated from patients within a month of each other were too distantly related to be direct transmissions.

Conclusions

Our results confirm that nosocomial transmission between symptomatic C. difficile cases contributes far less to current rates of infection than has been widely assumed, which clarifies the importance of future research into other transmission routes, such as from asymptomatic carriers. With the costs of DNA sequencing rapidly falling and its use becoming more and more widespread, genomics will revolutionize our understanding of the transmission of bacterial pathogens.