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Identification of a core set of rhizobial infection genes using data from single cell-types

Overview of attention for article published in Frontiers in Plant Science, July 2015
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Title
Identification of a core set of rhizobial infection genes using data from single cell-types
Published in
Frontiers in Plant Science, July 2015
DOI 10.3389/fpls.2015.00575
Pubmed ID
Authors

Da-Song Chen, Cheng-Wu Liu, Sonali Roy, Donna Cousins, Nicola Stacey, Jeremy D. Murray

Abstract

Genome-wide expression studies on nodulation have varied in their scale from entire root systems to dissected nodules or root sections containing nodule primordia (NP). More recently efforts have focused on developing methods for isolation of root hairs from infected plants and the application of laser-capture microdissection technology to nodules. Here we analyze two published data sets to identify a core set of infection genes that are expressed in the nodule and in root hairs during infection. Among the genes identified were those encoding phenylpropanoid biosynthesis enzymes including Chalcone-O-Methyltransferase which is required for the production of the potent Nod gene inducer 4',4-dihydroxy-2-methoxychalcone. A promoter-GUS analysis in transgenic hairy roots for two genes encoding Chalcone-O-Methyltransferase isoforms revealed their expression in rhizobially infected root hairs and the nodule infection zone but not in the nitrogen fixation zone. We also describe a group of Rhizobially Induced Peroxidases whose expression overlaps with the production of superoxide in rhizobially infected root hairs and in nodules and roots. Finally, we identify a cohort of co-regulated transcription factors as candidate regulators of these processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Brazil 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Master 7 13%
Researcher 6 11%
Student > Bachelor 4 7%
Professor 4 7%
Other 14 25%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 51%
Biochemistry, Genetics and Molecular Biology 12 22%
Unspecified 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Environmental Science 1 2%
Other 4 7%
Unknown 6 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 August 2015.
All research outputs
#14,822,669
of 22,824,164 outputs
Outputs from Frontiers in Plant Science
#9,241
of 20,120 outputs
Outputs of similar age
#144,725
of 263,404 outputs
Outputs of similar age from Frontiers in Plant Science
#110
of 262 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,120 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 263,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.