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The genome of the emerging barley pathogen Ramularia collo-cygni

Overview of attention for article published in BMC Genomics, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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3 news outlets
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2 blogs
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18 X users

Citations

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32 Dimensions

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69 Mendeley
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Title
The genome of the emerging barley pathogen Ramularia collo-cygni
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2928-3
Pubmed ID
Authors

Graham R. D. McGrann, Ambrose Andongabo, Elisabet Sjökvist, Urmi Trivedi, Francois Dussart, Maciej Kaczmarek, Ashleigh Mackenzie, James M. Fountaine, Jeanette M. G. Taylor, Linda J. Paterson, Kalina Gorniak, Fiona Burnett, Kostya Kanyuka, Kim E. Hammond-Kosack, Jason J. Rudd, Mark Blaxter, Neil D. Havis

Abstract

Ramularia collo-cygni is a newly important, foliar fungal pathogen of barley that causes the disease Ramularia leaf spot. The fungus exhibits a prolonged endophytic growth stage before switching life habit to become an aggressive, necrotrophic pathogen that causes significant losses to green leaf area and hence grain yield and quality. The R. collo-cygni genome was sequenced using a combination of Illumina and Roche 454 technologies. The draft assembly of 30.3 Mb contained 11,617 predicted gene models. Our phylogenomic analysis confirmed the classification of this ascomycete fungus within the family Mycosphaerellaceae, order Capnodiales of the class Dothideomycetes. A predicted secretome comprising 1053 proteins included redox-related enzymes and carbohydrate-modifying enzymes and proteases. The relative paucity of plant cell wall degrading enzyme genes may be associated with the stealth pathogenesis characteristic of plant pathogens from the Mycosphaerellaceae. A large number of genes associated with secondary metabolite production, including homologs of toxin biosynthesis genes found in other Dothideomycete plant pathogens, were identified. The genome sequence of R. collo-cygni provides a framework for understanding the genetic basis of pathogenesis in this important emerging pathogen. The reduced complement of carbohydrate-degrading enzyme genes is likely to reflect a strategy to avoid detection by host defences during its prolonged asymptomatic growth. Of particular interest will be the analysis of R. collo-cygni gene expression during interactions with the host barley, to understand what triggers this fungus to switch from being a benign endophyte to an aggressive necrotroph.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Ph. D. Student 13 19%
Student > Master 10 14%
Student > Bachelor 9 13%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 48%
Biochemistry, Genetics and Molecular Biology 15 22%
Environmental Science 2 3%
Business, Management and Accounting 2 3%
Chemistry 2 3%
Other 3 4%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 09 September 2016.
All research outputs
#801,648
of 23,498,099 outputs
Outputs from BMC Genomics
#105
of 10,787 outputs
Outputs of similar age
#16,854
of 364,233 outputs
Outputs of similar age from BMC Genomics
#3
of 265 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% of its peers.
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 364,233 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.