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Identification of Transcription Factors ZmMYB111 and ZmMYB148 Involved in Phenylpropanoid Metabolism

Overview of attention for article published in Frontiers in Plant Science, February 2016
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Title
Identification of Transcription Factors ZmMYB111 and ZmMYB148 Involved in Phenylpropanoid Metabolism
Published in
Frontiers in Plant Science, February 2016
DOI 10.3389/fpls.2016.00148
Pubmed ID
Authors

Junjie Zhang, Shuangshuang Zhang, Hui Li, Hai Du, Huanhuan Huang, Yangping Li, Yufeng Hu, Hanmei Liu, Yinghong Liu, Guowu Yu, Yubi Huang

Abstract

Maize is the leading crop worldwide in terms of both planting area and total yields, but environmental stresses cause significant losses in productivity. Phenylpropanoid compounds play an important role in plant stress resistance; however, the mechanism of their synthesis is not fully understood, especially in regard to the expression and regulation of key genes. Phenylalanine ammonia-lyase (PAL) is the first key enzyme involved in phenylpropanoid metabolism, and it has a significant effect on the synthesis of important phenylpropanoid compounds. According to the results of sequence alignments and functional prediction, we selected two conserved R2R3-MYB transcription factors as candidate genes for the regulation of phenylpropanoid metabolism. The two candidate R2R3-MYB genes, which we named ZmMYB111 and ZmMYB148, were cloned, and then their structural characteristics and phylogenetic placement were predicted and analyzed. In addition, a series of evaluations were performed, including expression profiles, subcellular localization, transcription activation, protein-DNA interaction, and transient expression in maize endosperm. Our results indicated that both ZmMYB111 and ZmMYB148 are indeed R2R3-MYB transcription factors and that they may play a regulatory role in PAL gene expression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 7 19%
Student > Bachelor 5 14%
Professor > Associate Professor 2 5%
Student > Master 2 5%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 49%
Biochemistry, Genetics and Molecular Biology 6 16%
Unspecified 1 3%
Chemistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 27%
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 15 February 2016.
All research outputs
#20,308,732
of 22,849,304 outputs
Outputs from Frontiers in Plant Science
#16,080
of 20,185 outputs
Outputs of similar age
#339,648
of 403,162 outputs
Outputs of similar age from Frontiers in Plant Science
#391
of 541 outputs
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