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Identification of Phakopsora pachyrhizi Candidate Effectors with Virulence Activity in a Distantly Related Pathosystem

Overview of attention for article published in Frontiers in Plant Science, March 2016
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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6 X users

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Title
Identification of Phakopsora pachyrhizi Candidate Effectors with Virulence Activity in a Distantly Related Pathosystem
Published in
Frontiers in Plant Science, March 2016
DOI 10.3389/fpls.2016.00269
Pubmed ID
Authors

Sridhara G. Kunjeti, Geeta Iyer, Ebony Johnson, Eric Li, Karen E. Broglie, Gilda Rauscher, Gregory J. Rairdan

Abstract

Phakopsora pachyrhizi is the causal agent of Asian Soybean Rust, a disease that causes enormous economic losses, most markedly in South America. P. pachyrhizi is a biotrophic pathogen that utilizes specialized feeding structures called haustoria to colonize its hosts. In rusts and other filamentous plant pathogens, haustoria have been shown to secrete effector proteins into their hosts to permit successful completion of their life cycle. We have constructed a cDNA library from P. pachyrhizi haustoria using paramagnetic bead-based methodology and have identified 35 P. pachyrhizi candidate effector (CE) genes from this library which are described here. In addition, we quantified the transcript expression pattern of six of these genes and show that two of these CEs are able to greatly increase the susceptibility of Nicotiana benthamiana to Phytophthora infestans. This strongly suggests that these genes play an important role in P. pachyrhizi virulence on its hosts.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 7 16%
Student > Bachelor 6 13%
Student > Postgraduate 5 11%
Student > Ph. D. Student 5 11%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 51%
Biochemistry, Genetics and Molecular Biology 7 16%
Environmental Science 1 2%
Economics, Econometrics and Finance 1 2%
Social Sciences 1 2%
Other 2 4%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 March 2016.
All research outputs
#6,749,129
of 22,854,458 outputs
Outputs from Frontiers in Plant Science
#3,825
of 20,204 outputs
Outputs of similar age
#93,824
of 299,378 outputs
Outputs of similar age from Frontiers in Plant Science
#85
of 496 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 20,204 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 80% 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 299,378 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 68% of its contemporaries.
We're also able to compare this research output to 496 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.