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Comparative analyses of Legionella species identifies genetic features of strains causing Legionnaires’ disease

Overview of attention for article published in Genome Biology, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet

Citations

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82 Dimensions

Readers on

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107 Mendeley
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Title
Comparative analyses of Legionella species identifies genetic features of strains causing Legionnaires’ disease
Published in
Genome Biology, November 2014
DOI 10.1186/s13059-014-0505-0
Pubmed ID
Authors

Laura Gomez-Valero, Christophe Rusniok, Monica Rolando, Mario Neou, Delphine Dervins-Ravault, Jasmin Demirtas, Zoe Rouy, Robert J Moore, Honglei Chen, Nicola K Petty, Sophie Jarraud, Jerome Etienne, Michael Steinert, Klaus Heuner, Simonetta Gribaldo, Claudine Médigue, Gernot Glöckner, Elizabeth L Hartland, Carmen Buchrieser

Abstract

The genus Legionella comprises over 60 species. However, L. pneumophila and L. longbeachae alone cause over 95% of Legionnaires’ disease. To identify the genetic bases underlying the different capacities to cause disease we sequenced and compared the genomes of L. micdadei, L. hackeliae and L. fallonii (LLAP10), which are all rarely isolated from humans. We show that these Legionella species possess different virulence capacities in amoeba and macrophages, correlating with their occurrence in humans. Our comparative analysis of 11 Legionella genomes belonging to five species reveals highly heterogeneous genome content with over 60% representing species-specific genes; these comprise a complete prophage in L. micdadei, the first ever identified in a Legionella genome. Mobile elements are abundant in Legionella genomes; many encode type IV secretion systems for conjugative transfer, pointing to their importance for adaptation of the genus. The Dot/Icm secretion system is conserved, although the core set of substrates is small, as only 24 out of over 300 described Dot/Icm effector genes are present in all Legionella species. We also identified new eukaryotic motifs including thaumatin, synaptobrevin or clathrin/coatomer adaptine like domains. Legionella genomes are highly dynamic due to a large mobilome mainly comprising type IV secretion systems, while a minority of core substrates is shared among the diverse species. Eukaryotic like proteins and motifs remain a hallmark of the genus Legionella. Key factors such as proteins involved in oxygen binding, iron storage, host membrane transport and certain Dot/Icm substrates are specific features of disease-related strains.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Taiwan 1 <1%
Unknown 103 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 16 15%
Student > Master 15 14%
Student > Bachelor 10 9%
Student > Postgraduate 7 7%
Other 18 17%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 23%
Biochemistry, Genetics and Molecular Biology 24 22%
Immunology and Microbiology 10 9%
Medicine and Dentistry 10 9%
Environmental Science 4 4%
Other 9 8%
Unknown 25 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2016.
All research outputs
#4,835,823
of 25,374,647 outputs
Outputs from Genome Biology
#2,799
of 4,467 outputs
Outputs of similar age
#52,659
of 275,741 outputs
Outputs of similar age from Genome Biology
#72
of 122 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.