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Gene Mining for Proline Based Signaling Proteins in Cell Wall of Arabidopsis thaliana

Overview of attention for article published in Frontiers in Plant Science, February 2017
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Title
Gene Mining for Proline Based Signaling Proteins in Cell Wall of Arabidopsis thaliana
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00233
Pubmed ID
Authors

Muhammad Z. Ihsan, Samina J. N. Ahmad, Zahid Hussain Shah, Hafiz M. Rehman, Zubair Aslam, Ishita Ahuja, Atle M. Bones, Jam N. Ahmad

Abstract

The cell wall (CW) as a first line of defense against biotic and abiotic stresses is of primary importance in plant biology. The proteins associated with cell walls play a significant role in determining a plant's sustainability to adverse environmental conditions. In this work, the genes encoding cell wall proteins (CWPs) in Arabidopsis were identified and functionally classified using geneMANIA and GENEVESTIGATOR with published microarrays data. This yielded 1605 genes, out of which 58 genes encoded proline-rich proteins (PRPs) and glycine-rich proteins (GRPs). Here, we have focused on the cellular compartmentalization, biological processes, and molecular functioning of proline-rich CWPs along with their expression at different plant developmental stages. The mined genes were categorized into five classes on the basis of the type of PRPs encoded in the cell wall of Arabidopsis thaliana. We review the domain structure and function of each class of protein, many with respect to the developmental stages of the plant. We have then used networks, hierarchical clustering and correlations to analyze co-expression, co-localization, genetic, and physical interactions and shared protein domains of these PRPs. This has given us further insight into these functionally important CWPs and identified a number of potentially new cell-wall related proteins in A. thaliana.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Doctoral Student 7 15%
Student > Master 6 13%
Researcher 5 11%
Student > Bachelor 3 7%
Other 4 9%
Unknown 13 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Biochemistry, Genetics and Molecular Biology 8 17%
Unspecified 1 2%
Computer Science 1 2%
Nursing and Health Professions 1 2%
Other 0 0%
Unknown 14 30%
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 04 April 2017.
All research outputs
#20,412,387
of 22,962,258 outputs
Outputs from Frontiers in Plant Science
#16,284
of 20,389 outputs
Outputs of similar age
#271,841
of 312,027 outputs
Outputs of similar age from Frontiers in Plant Science
#400
of 514 outputs
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We're also able to compare this research output to 514 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.