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Analysis of global gene expression profile of rice in response to methylglyoxal indicates its possible role as a stress signal molecule

Overview of attention for article published in Frontiers in Plant Science, September 2015
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Title
Analysis of global gene expression profile of rice in response to methylglyoxal indicates its possible role as a stress signal molecule
Published in
Frontiers in Plant Science, September 2015
DOI 10.3389/fpls.2015.00682
Pubmed ID
Authors

Charanpreet Kaur, Hemant R. Kushwaha, Ananda Mustafiz, Ashwani Pareek, Sudhir K. Sopory, Sneh L. Singla-Pareek

Abstract

Methylglyoxal (MG) is a toxic metabolite produced primarily as a byproduct of glycolysis. Being a potent glycating agent, it can readily bind macromolecules like DNA, RNA, or proteins, modulating their expression and activity. In plants, despite the known inhibitory effects of MG on growth and development, still limited information is available about the molecular mechanisms and response pathways elicited upon elevation in MG levels. To gain insight into the molecular basis of MG response, we have investigated changes in global gene expression profiles in rice upon exposure to exogenous MG using GeneChip microarrays. Initially, growth of rice seedlings was monitored in response to increasing MG concentrations which could retard plant growth in a dose-dependent manner. Upon exposure to 10 mM concentration of MG, a total of 1685 probe sets were up- or down-regulated by more than 1.5-fold in shoot tissues within 16 h. These were classified into 10 functional categories. The genes involved in signal transduction such as, protein kinases and transcription factors, were significantly over-represented in the perturbed transcriptome, of which several are known to be involved in abiotic and biotic stress response indicating a cross-talk between MG-responsive and stress-responsive signal transduction pathways. Through in silico studies, we could predict 7-8 bp long conserved motif as a possible MG-responsive element (MGRE) in the 1 kb upstream region of genes that were more than 10-fold up- or down-regulated in the analysis. Since several perturbations were found in signaling cascades in response to MG, we hereby suggest that it plays an important role in signal transduction probably acting as a stress signal molecule.

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X Demographics

The data shown below were collected from the profiles of 3 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 10 17%
Student > Doctoral Student 5 8%
Professor > Associate Professor 4 7%
Student > Master 4 7%
Other 11 18%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 57%
Biochemistry, Genetics and Molecular Biology 10 17%
Environmental Science 2 3%
Arts and Humanities 1 2%
Psychology 1 2%
Other 0 0%
Unknown 12 20%
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 22 September 2015.
All research outputs
#14,724,101
of 23,576,969 outputs
Outputs from Frontiers in Plant Science
#8,679
of 21,663 outputs
Outputs of similar age
#140,178
of 267,845 outputs
Outputs of similar age from Frontiers in Plant Science
#103
of 318 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,663 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 267,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.