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Comprehensive analysis of draft genomes of two closely related pseudomonas syringae phylogroup 2b strains infecting mono- and dicotyledon host plants

Overview of attention for article published in BMC Genomics, December 2016
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Title
Comprehensive analysis of draft genomes of two closely related pseudomonas syringae phylogroup 2b strains infecting mono- and dicotyledon host plants
Published in
BMC Genomics, December 2016
DOI 10.1186/s12864-016-3358-y
Pubmed ID
Authors

Rinat I. Sultanov, Georgij P. Arapidi, Svetlana V. Vinogradova, Vadim M. Govorun, Duglas G. Luster, Alexander N. Ignatov

Abstract

In recent years, the damage caused by bacterial pathogens to major crops has been increasing worldwide. Pseudomonas syringae is a widespread bacterial species that infects almost all major crops. Different P. syringae strains use a wide range of biochemical mechanisms, including phytotoxins and effectors of the type III and type IV secretion systems, which determine the specific nature of the pathogen virulence. Strains 1845 (isolated from dicots) and 2507 (isolated from monocots) were selected for sequencing because they specialize on different groups of plants. We compared virulence factors in these and other available genomes of phylogroup 2 to find genes responsible for the specialization of bacteria. We showed that strain 1845 belongs to the clonal group that has been infecting monocots in Russia and USA for a long time (at least 50 years). Strain 1845 has relatively recently changed its host plant to dicots. The results obtained by comparing the strain 1845 genome with the genomes of bacteria infecting monocots can help to identify the genes that define specific nature of the virulence of P. syringae strains.

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Student > Ph. D. Student 6 33%
Professor 2 11%
Student > Doctoral Student 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 61%
Biochemistry, Genetics and Molecular Biology 3 17%
Business, Management and Accounting 1 6%
Nursing and Health Professions 1 6%
Immunology and Microbiology 1 6%
Other 2 11%
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 02 September 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from BMC Genomics
#8,224
of 10,692 outputs
Outputs of similar age
#311,583
of 421,789 outputs
Outputs of similar age from BMC Genomics
#161
of 223 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.