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Soybean miR172c Targets the Repressive AP2 Transcription Factor NNC1 to Activate ENOD40 Expression and Regulate Nodule Initiation

Overview of attention for article published in Plant Cell, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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8 X users
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2 patents
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2 Facebook pages

Citations

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164 Dimensions

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137 Mendeley
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Title
Soybean miR172c Targets the Repressive AP2 Transcription Factor NNC1 to Activate ENOD40 Expression and Regulate Nodule Initiation
Published in
Plant Cell, December 2014
DOI 10.1105/tpc.114.131607
Pubmed ID
Authors

Youning Wang, Lixiang Wang, Yanmin Zou, Liang Chen, Zhaoming Cai, Senlei Zhang, Fang Zhao, Yinping Tian, Qiong Jiang, Brett J. Ferguson, Peter M. Gresshoff, Xia Li

Abstract

MicroRNAs are noncoding RNAs that act as master regulators to modulate various biological processes by posttranscriptionally repressing their target genes. Repression of their target mRNA(s) can modulate signaling cascades and subsequent cellular events. Recently, a role for miR172 in soybean (Glycine max) nodulation has been described; however, the molecular mechanism through which miR172 acts to regulate nodulation has yet to be explored. Here, we demonstrate that soybean miR172c modulates both rhizobium infection and nodule organogenesis. miR172c was induced in soybean roots inoculated with either compatible Bradyrhizobium japonicum or lipooligosaccharide Nod factor and was highly upregulated during nodule development. Reduced activity and overexpression of miR172c caused dramatic changes in nodule initiation and nodule number. We show that soybean miR172c regulates nodule formation by repressing its target gene, Nodule Number Control1, which encodes a protein that directly targets the promoter of the early nodulin gene, ENOD40. Interestingly, transcriptional levels of miR172c were regulated by both Nod Factor Receptor1α/5α-mediated activation and by autoregulation of nodulation-mediated inhibition. Thus, we established a direct link between miR172c and the Nod factor signaling pathway in addition to adding a new layer to the precise nodulation regulation mechanism of soybean.

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X Demographics

The data shown below were collected from the profiles of 8 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 1 <1%
Egypt 1 <1%
Unknown 133 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 27%
Student > Master 18 13%
Researcher 15 11%
Student > Doctoral Student 9 7%
Professor 8 6%
Other 16 12%
Unknown 34 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 53%
Biochemistry, Genetics and Molecular Biology 22 16%
Medicine and Dentistry 2 1%
Chemistry 2 1%
Business, Management and Accounting 1 <1%
Other 5 4%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 January 2023.
All research outputs
#3,260,945
of 25,604,262 outputs
Outputs from Plant Cell
#1,688
of 7,073 outputs
Outputs of similar age
#42,946
of 360,764 outputs
Outputs of similar age from Plant Cell
#11
of 73 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,073 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 76% 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 360,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.