| Chapter title |
Comparative Genomics of Clostridium difficile
|
|---|---|
| Chapter number | 5 |
| Book title |
Updates on Clostridium difficile in Europe
|
| Published in |
Advances in experimental medicine and biology, January 2018
|
| DOI | 10.1007/978-3-319-72799-8_5 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-972798-1, 978-3-31-972799-8
|
| Authors |
Sandra Janezic, Julian R. Garneau, Marc Monot, Janezic, Sandra, Garneau, Julian R., Monot, Marc |
| Abstract |
Clostridium difficile, a gram-positive spore-forming anaerobic bacterium, has rapidly emerged as the leading cause of nosocomial diarrhoea in hospitals. The availability of genome sequences in large numbers, mainly due to the use of next-generation sequencing methods, have undoubtedly shown their immense advantages in the determination of the C. difficile population structure. The implementation of fine-scale comparative genomic approaches have paved the way to global transmission and recurrence studies, but also more targeted studies such as the PaLoc or the CRISPR/Cas systems. In this chapter, we provide an overview of the recent and significant findings on C. difficile using comparative genomics studies with implication for the epidemiology, infection control and understanding of the evolution of C. difficile. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 33% |
| Ecuador | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Other | 3 | 13% |
| Researcher | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Immunology and Microbiology | 5 | 21% |
| Agricultural and Biological Sciences | 3 | 13% |
| Nursing and Health Professions | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |