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Type IV Secretion in Gram-Negative and Gram-Positive Bacteria

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Attention for Chapter 5: Mechanisms of Conjugative Transfer and Type IV Secretion-Mediated Effector Transport in Gram-Positive Bacteria
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Chapter title
Mechanisms of Conjugative Transfer and Type IV Secretion-Mediated Effector Transport in Gram-Positive Bacteria
Chapter number 5
Book title
Type IV Secretion in Gram-Negative and Gram-Positive Bacteria
Published in
Current topics in microbiology and immunology, January 2017
DOI 10.1007/978-3-319-75241-9_5
Pubmed ID
Book ISBNs
978-3-31-975240-2, 978-3-31-975241-9
Authors

Grohmann, Elisabeth, Keller, Walter, Muth, Günther, Elisabeth Grohmann, Walter Keller, Günther Muth

Abstract

Conjugative DNA transfer is the most important means to transfer antibiotic resistance genes and virulence determinants encoded by plasmids, integrative conjugative elements (ICE), and pathogenicity islands among bacteria. In gram-positive bacteria, there exist two types of conjugative systems, (i) type IV secretion system (T4SS)-dependent ones, like those encoded by the Enterococcus, Streptococcus, Staphylococcus, Bacillus, and Clostridia mobile genetic elements and (ii) T4SS-independent ones, as those found on Streptomyces plasmids. Interestingly, very recently, on the Streptococcus suis genome, the first gram-positive T4SS not only involved in conjugative DNA transfer but also in effector translocation to the host was detected. Although no T4SS core complex structure from gram-positive bacteria is available, several structures from T4SS protein key factors from Enterococcus and Clostridia plasmids have been solved. In this chapter, we summarize the current knowledge on the molecular mechanisms and structure-function relationships of the diverse conjugation machineries and emerging research needs focused on combatting infections and spread of multiple resistant gram-positive pathogens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Bachelor 3 13%
Researcher 3 13%
Other 2 9%
Professor > Associate Professor 2 9%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 39%
Agricultural and Biological Sciences 8 35%
Veterinary Science and Veterinary Medicine 1 4%
Immunology and Microbiology 1 4%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Current topics in microbiology and immunology
#600
of 679 outputs
Outputs of similar age
#356,264
of 421,341 outputs
Outputs of similar age from Current topics in microbiology and immunology
#39
of 44 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 679 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.