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Duplications and losses in gene families of rust pathogens highlight putative effectors

Overview of attention for article published in Frontiers in Plant Science, June 2014
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Duplications and losses in gene families of rust pathogens highlight putative effectors
Published in
Frontiers in Plant Science, June 2014
DOI 10.3389/fpls.2014.00299
Pubmed ID
Authors

Amanda L. Pendleton, Katherine E. Smith, Nicolas Feau, Francis M. Martin, Igor V. Grigoriev, Richard Hamelin, C. Dana Nelson, J. Gordon Burleigh, John M. Davis

Abstract

Rust fungi are a group of fungal pathogens that cause some of the world's most destructive diseases of trees and crops. A shared characteristic among rust fungi is obligate biotrophy, the inability to complete a lifecycle without a host. This dependence on a host species likely affects patterns of gene expansion, contraction, and innovation within rust pathogen genomes. The establishment of disease by biotrophic pathogens is reliant upon effector proteins that are encoded in the fungal genome and secreted from the pathogen into the host's cell apoplast or within the cells. This study uses a comparative genomic approach to elucidate putative effectors and determine their evolutionary histories. We used OrthoMCL to identify nearly 20,000 gene families in proteomes of 16 diverse fungal species, which include 15 basidiomycetes and one ascomycete. We inferred patterns of duplication and loss for each gene family and identified families with distinctive patterns of expansion/contraction associated with the evolution of rust fungal genomes. To recognize potential contributors for the unique features of rust pathogens, we identified families harboring secreted proteins that: (i) arose or expanded in rust pathogens relative to other fungi, or (ii) contracted or were lost in rust fungal genomes. While the origin of rust fungi appears to be associated with considerable gene loss, there are many gene duplications associated with each sampled rust fungal genome. We also highlight two putative effector gene families that have expanded in Cqf that we hypothesize have roles in pathogenicity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
United States 1 1%
Netherlands 1 1%
Taiwan 1 1%
Unknown 90 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 17 18%
Student > Master 12 13%
Student > Bachelor 9 9%
Student > Doctoral Student 4 4%
Other 12 13%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 58%
Biochemistry, Genetics and Molecular Biology 17 18%
Chemical Engineering 2 2%
Environmental Science 2 2%
Unspecified 1 1%
Other 2 2%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2014.
All research outputs
#12,900,070
of 22,757,090 outputs
Outputs from Frontiers in Plant Science
#5,570
of 20,059 outputs
Outputs of similar age
#105,568
of 227,901 outputs
Outputs of similar age from Frontiers in Plant Science
#32
of 162 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,059 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 227,901 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.