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Using transcription of six Puccinia triticina races to identify the effective secretome during infection of wheat

Overview of attention for article published in Frontiers in Plant Science, January 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Using transcription of six Puccinia triticina races to identify the effective secretome during infection of wheat
Published in
Frontiers in Plant Science, January 2014
DOI 10.3389/fpls.2013.00520
Pubmed ID
Authors

Myron Bruce, Kerri A. Neugebauer, David L. Joly, Pierre Migeon, Christina A. Cuomo, Shichen Wang, Eduard Akhunov, Guus Bakkeren, James A. Kolmer, John P. Fellers

Abstract

Wheat leaf rust, caused by the basidiomycete Puccinia triticina, can cause yield losses of up to 20% in wheat producing regions. During infection, the fungus forms haustoria that secrete proteins into the plant cell and effect changes in plant transcription, metabolism, and defense. It is hypothesized that new races emerge as a result of overcoming plant resistance via changes in the secreted effector proteins. To understand gene expression during infection and find genetic differences associated with races, RNA from wheat leaves infected with six different rust races, at 6 days post inoculation, was sequenced using Illumina. As P. triticina is an obligate biotroph, RNA from both the host and fungi were present and separated by alignment to the P. triticina genome and a wheat EST reference. A total of 222,571 rust contigs were assembled from 165 million reads. An examination of the resulting contigs revealed 532 predicted secreted proteins among the transcripts. Of these, 456 were found in all races. Fifteen genes were found with amino acid changes, corresponding to putative avirulence effectors potentially recognized by 11 different leaf rust resistance (Lr) genes. Twelve of the potential avirulence effectors have no homology to known genes. One gene had significant similarity to cerato-platanin, a known fungal elicitor, and another showed similarity to fungal tyrosinase, an enzyme involved in melanin synthesis. Temporal expression profiles were developed for these genes by qRT-PCR and show that the genes expression patterns were consistent between races from infection initiation to just prior to spore eruption.

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X Demographics

The data shown below were collected from the profiles of 15 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 3%
United States 2 2%
Austria 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 110 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 26%
Student > Ph. D. Student 23 19%
Student > Master 13 11%
Student > Bachelor 7 6%
Student > Postgraduate 7 6%
Other 21 18%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 66%
Biochemistry, Genetics and Molecular Biology 12 10%
Computer Science 6 5%
Engineering 2 2%
Environmental Science 1 <1%
Other 2 2%
Unknown 17 14%
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 19 August 2014.
All research outputs
#4,424,530
of 24,241,559 outputs
Outputs from Frontiers in Plant Science
#2,332
of 22,692 outputs
Outputs of similar age
#50,684
of 314,824 outputs
Outputs of similar age from Frontiers in Plant Science
#5
of 86 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,692 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 314,824 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 83% of its contemporaries.
We're also able to compare this research output to 86 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 95% of its contemporaries.