Title |
Comparison of the Legionella pneumophilapopulation structure as determined by sequence-based typing and whole genome sequencing
|
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Published in |
BMC Microbiology, December 2013
|
DOI | 10.1186/1471-2180-13-302 |
Pubmed ID | |
Authors |
Anthony P Underwood, Garan Jones, Massimo Mentasti, Norman K Fry, Timothy G Harrison |
Abstract |
Legionella pneumophila is an opportunistic pathogen of humans where the source of infection is usually from contaminated man-made water systems. When an outbreak of Legionnaires' disease caused by L. pneumophila occurs, it is necessary to discover the source of infection. A seven allele sequence-based typing scheme (SBT) has been very successful in providing the means to attribute outbreaks of L. pneumophila to a particular source or sources. Particular sequence types described by this scheme are known to exhibit specific phenotypes. For instance some types are seen often in clinical cases but are rarely isolated from the environment and vice versa. Of those causing human disease some types are thought to be more likely to cause more severe disease. It is possible that the genetic basis for these differences are vertically inherited and associated with particular genetic lineages within the population. In order to provide a framework within which to test this hypothesis and others relating to the population biology of L. pneumophila, a set of genomes covering the known diversity of the organism is required. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 43% |
Spain | 2 | 29% |
Grenada | 1 | 14% |
Malawi | 1 | 14% |
Demographic breakdown
Type | Count | As % |
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Scientists | 5 | 71% |
Members of the public | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 1 | 2% |
Germany | 1 | 2% |
United Kingdom | 1 | 2% |
Denmark | 1 | 2% |
Spain | 1 | 2% |
Unknown | 53 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 19 | 33% |
Researcher | 13 | 22% |
Student > Master | 5 | 9% |
Professor | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 8 | 14% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 36% |
Medicine and Dentistry | 8 | 14% |
Immunology and Microbiology | 6 | 10% |
Biochemistry, Genetics and Molecular Biology | 5 | 9% |
Computer Science | 1 | 2% |
Other | 5 | 9% |
Unknown | 12 | 21% |