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Transcription factors involved in drought tolerance and their possible role in developing drought tolerant cultivars with emphasis on wheat (Triticum aestivum L.)

Overview of attention for article published in Theoretical and Applied Genetics, October 2016
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Title
Transcription factors involved in drought tolerance and their possible role in developing drought tolerant cultivars with emphasis on wheat (Triticum aestivum L.)
Published in
Theoretical and Applied Genetics, October 2016
DOI 10.1007/s00122-016-2794-z
Pubmed ID
Authors

Vijay Gahlaut, Vandana Jaiswal, Anuj Kumar, Pushpendra Kumar Gupta

Abstract

TFs involved in drought tolerance in plants may be utilized in future for developing drought tolerant cultivars of wheat and some other crops. Plants have developed a fairly complex stress response system to deal with drought and other abiotic stresses. These response systems often make use of transcription factors (TFs); a gene encoding a specific TF together with -its target genes constitute a regulon, and take part in signal transduction to activate/silence genes involved in response to drought. Since, five specific families of TFs (out of >80 known families of TFs) have gained widespread attention on account of their significant role in drought tolerance in plants, TFs and regulons belonging to these five multi-gene families (AP2/EREBP, bZIP, MYB/MYC, NAC and WRKY) have been described and their role in improving drought tolerance discussed in this brief review. These TFs often undergo reversible phosphorylation to perform their function, and are also involved in complex networks. Therefore, some details about reversible phosphorylation of TFs by different protein kinases/phosphatases and the co-regulatory networks, which involve either only TFs or TFs with miRNAs, have also been discussed. Literature on transgenics involving genes encoding TFs and that on QTLs and markers associated with TF genes involved in drought tolerance has also been reviewed. Throughout the review, there is a major emphasis on wheat as an important crop, although examples from the model cereal rice (sometimes maize also), and the model plant Arabidopsis have also been used. This knowledge base may eventually allow the use of TF genes for development of drought tolerant cultivars, particularly in wheat.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Chile 1 <1%
India 1 <1%
Unknown 131 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 24%
Researcher 24 18%
Student > Master 20 15%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 17 13%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 49%
Biochemistry, Genetics and Molecular Biology 26 19%
Engineering 4 3%
Environmental Science 3 2%
Arts and Humanities 2 1%
Other 7 5%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 November 2016.
All research outputs
#6,309,463
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,114
of 3,565 outputs
Outputs of similar age
#93,307
of 321,883 outputs
Outputs of similar age from Theoretical and Applied Genetics
#26
of 54 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 68% 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 321,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 54 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 51% of its contemporaries.