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Transcriptome-wide analysis of WRKY transcription factors in wheat and their leaf rust responsive expression profiling

Overview of attention for article published in Molecular Genetics and Genomics, August 2014
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Title
Transcriptome-wide analysis of WRKY transcription factors in wheat and their leaf rust responsive expression profiling
Published in
Molecular Genetics and Genomics, August 2014
DOI 10.1007/s00438-014-0890-9
Pubmed ID
Authors

Lopamudra Satapathy, Dharmendra Singh, Prashant Ranjan, Dhananjay Kumar, Manish Kumar, Kumble Vinod Prabhu, Kunal Mukhopadhyay

Abstract

WRKY, a plant-specific transcription factor family, has important roles in pathogen defense, abiotic cues and phytohormone signaling, yet little is known about their roles and molecular mechanism of function in response to rust diseases in wheat. We identified 100 TaWRKY sequences using wheat Expressed Sequence Tag database of which 22 WRKY sequences were novel. Identified proteins were characterized based on their zinc finger motifs and phylogenetic analysis clustered them into six clades consisting of class IIc and class III WRKY proteins. Functional annotation revealed major functions in metabolic and cellular processes in control plants; whereas response to stimuli, signaling and defense in pathogen inoculated plants, their major molecular function being binding to DNA. Tag-based expression analysis of the identified genes revealed differential expression between mock and Puccinia triticina inoculated wheat near isogenic lines. Gene expression was also performed with six rust-related microarray experiments at Gene Expression Omnibus database. TaWRKY10, 15, 17 and 56 were common in both tag-based and microarray-based differential expression analysis and could be representing rust specific WRKY genes. The obtained results will bestow insight into the functional characterization of WRKY transcription factors responsive to leaf rust pathogenesis that can be used as candidate genes in molecular breeding programs to improve biotic stress tolerance in wheat.

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Mendeley readers

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Researcher 5 14%
Student > Doctoral Student 3 8%
Professor 2 6%
Other 2 6%
Other 6 17%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 56%
Biochemistry, Genetics and Molecular Biology 8 22%
Unknown 8 22%
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 08 August 2014.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Molecular Genetics and Genomics
#2,751
of 3,318 outputs
Outputs of similar age
#144,190
of 241,594 outputs
Outputs of similar age from Molecular Genetics and Genomics
#11
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,318 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.