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Fusarium oxysporum Triggers Tissue-Specific Transcriptional Reprogramming in Arabidopsis thaliana

Overview of attention for article published in PLOS ONE, April 2015
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Title
Fusarium oxysporum Triggers Tissue-Specific Transcriptional Reprogramming in Arabidopsis thaliana
Published in
PLOS ONE, April 2015
DOI 10.1371/journal.pone.0121902
Pubmed ID
Authors

Rebecca Lyons, Jiri Stiller, Jonathan Powell, Anca Rusu, John M. Manners, Kemal Kazan

Abstract

Some of the most devastating agricultural diseases are caused by root-infecting pathogens, yet the majority of studies on these interactions to date have focused on the host responses of aerial tissues rather than those belowground. Fusarium oxysporum is a root-infecting pathogen that causes wilt disease on several plant species including Arabidopsis thaliana. To investigate and compare transcriptional changes triggered by F. oxysporum in different Arabidopsis tissues, we infected soil-grown plants with F. oxysporum and subjected root and leaf tissue harvested at early and late timepoints to RNA-seq analyses. At least half of the genes induced or repressed by F. oxysporum showed tissue-specific regulation. Regulators of auxin and ABA signalling, mannose binding lectins and peroxidases showed strong differential expression in root tissue. We demonstrate that ARF2 and PRX33, two genes regulated in the roots, promote susceptibility to F. oxysporum. In the leaves, defensins and genes associated with the response to auxin, cold and senescence were strongly regulated while jasmonate biosynthesis and signalling genes were induced throughout the plant.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
South Africa 1 <1%
Unknown 184 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 24%
Student > Master 35 19%
Researcher 29 16%
Student > Bachelor 17 9%
Student > Doctoral Student 11 6%
Other 17 9%
Unknown 32 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 103 55%
Biochemistry, Genetics and Molecular Biology 34 18%
Engineering 3 2%
Computer Science 3 2%
Chemistry 3 2%
Other 7 4%
Unknown 33 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 April 2015.
All research outputs
#17,753,591
of 22,799,071 outputs
Outputs from PLOS ONE
#147,183
of 194,563 outputs
Outputs of similar age
#180,967
of 264,847 outputs
Outputs of similar age from PLOS ONE
#4,664
of 6,782 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,563 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 264,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6,782 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.