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The genome sequence and effector complement of the flax rust pathogen Melampsora lini

Overview of attention for article published in Frontiers in Plant Science, March 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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8 X users
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1 Wikipedia page

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185 Mendeley
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Article details
Title
The genome sequence and effector complement of the flax rust pathogen Melampsora lini
Published in
Frontiers in Plant Science, March 2014
DOI 10.3389/fpls.2014.00098
Pubmed ID
Authors
Abstract

Rust fungi cause serious yield reductions on crops, including wheat, barley, soybean, coffee, and represent real threats to global food security. Of these fungi, the flax rust pathogen Melampsora lini has been developed most extensively over the past 80 years as a model to understand the molecular mechanisms that underpin pathogenesis. During infection, M. lini secretes virulence effectors to promote disease. The number of these effectors, their function and their degree of conservation across rust fungal species is unknown. To assess this, we sequenced and assembled de novo the genome of M. lini isolate CH5 into 21,130 scaffolds spanning 189 Mbp (scaffold N50 of 31 kbp). Global analysis of the DNA sequence revealed that repetitive elements, primarily retrotransposons, make up at least 45% of the genome. Using ab initio predictions, transcriptome data and homology searches, we identified 16,271 putative protein-coding genes. An analysis pipeline was then implemented to predict the effector complement of M. lini and compare it to that of the poplar rust, wheat stem rust and wheat stripe rust pathogens to identify conserved and species-specific effector candidates. Previous knowledge of four cloned M. lini avirulence effector proteins and two basidiomycete effectors was used to optimize parameters of the effector prediction pipeline. Markov clustering based on sequence similarity was performed to group effector candidates from all four rust pathogens. Clusters containing at least one member from M. lini were further analyzed and prioritized based on features including expression in isolated haustoria and infected leaf tissue and conservation across rust species. Herein, we describe 200 of 940 clusters that ranked highest on our priority list, representing 725 flax rust candidate effectors. Our findings on this important model rust species provide insight into how effectors of rust fungi are conserved across species and how they may act to promote infection on their hosts.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 3 2%
Australia 3 2%
United States 2 1%
Taiwan 1 <1%
Mexico 1 <1%
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 172 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 40 22%
Student > Ph. D. Student 36 19%
Student > Master 22 12%
Student > Doctoral Student 15 8%
Student > Bachelor 14 8%
Other 22 12%
Unknown 36 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 110 59%
Biochemistry, Genetics and Molecular Biology 23 12%
Computer Science 4 2%
Chemical Engineering 2 1%
Environmental Science 2 1%
Other 4 2%
Unknown 40 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 November 2018.
All research outputs
#5,257,091
of 27,359,965 outputs
Outputs from Frontiers in Plant Science
#2,613
of 25,493 outputs
Outputs of similar age
#46,115
of 240,558 outputs
Outputs of similar age from Frontiers in Plant Science
#5
of 107 outputs
Altmetric has tracked 27,359,965 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,493 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% 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 240,558 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 80% of its contemporaries.
We're also able to compare this research output to 107 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 94% of its contemporaries.