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Role of the type VI secretion systems during disease interactions of Erwinia amylovora with its plant host

Overview of attention for article published in BMC Genomics, August 2017
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Title
Role of the type VI secretion systems during disease interactions of Erwinia amylovora with its plant host
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4010-1
Pubmed ID
Authors

Tim Kamber, Joël F. Pothier, Cosima Pelludat, Fabio Rezzonico, Brion Duffy, Theo H. M. Smits

Abstract

Type VI secretion systems (T6SS) are widespread among Gram-negative bacteria and have a potential role as essential virulence factors or to maintain symbiotic interactions. Three T6SS gene clusters were identified in the genome of E. amylovora CFBP 1430, of which T6SS-1 and T6SS-3 represent complete T6SS machineries, while T6SS-2 is reduced in its gene content. To assess the contribution of T6SSs to virulence and potential transcriptomic changes of E. amylovora CFBP 1430, single and double mutants in two structural genes were generated for T6SS-1 and T6SS-3. Plant assays showed that mutants in T6SS-3 were slightly more virulent in apple shoots while inducing less disease symptoms on apple flowers, indicating that T6SSs have only a minor effect on virulence of E. amylovora CFBP 1430. The mutations led under in vitro conditions to the differential expression of type III secretion systems, iron acquisition, chemotaxis, flagellar, and fimbrial genes. Comparison of the in planta and in vitro transcriptome data sets revealed a common differential expression of three processes and a set of chemotaxis and motility genes. Additional experiments proved that T6SS mutants are impaired in their motility. These results suggest that the deletion of T6SSs alters metabolic and motility processes. Nevertheless, the difference in lesion development in apple shoots and flower necrosis of T6SS mutants was indicative that T6SSs influences the disease progression and the establishment of the pathogen on host plants.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Researcher 6 12%
Student > Bachelor 5 10%
Professor > Associate Professor 4 8%
Other 7 13%
Unknown 15 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 31%
Biochemistry, Genetics and Molecular Biology 12 23%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 6%
Unknown 17 33%
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 19 August 2017.
All research outputs
#17,911,821
of 22,997,544 outputs
Outputs from BMC Genomics
#7,611
of 10,692 outputs
Outputs of similar age
#228,608
of 318,832 outputs
Outputs of similar age from BMC Genomics
#131
of 207 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.