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Tissue-Specific Regulation of Gma-miR396 Family on Coordinating Development and Low Water Availability Responses

Overview of attention for article published in Frontiers in Plant Science, June 2017
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  • High Attention Score compared to outputs of the same age and source (84th percentile)

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4 X users
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1 patent

Citations

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23 Dimensions

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34 Mendeley
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Title
Tissue-Specific Regulation of Gma-miR396 Family on Coordinating Development and Low Water Availability Responses
Published in
Frontiers in Plant Science, June 2017
DOI 10.3389/fpls.2017.01112
Pubmed ID
Authors

Weican Liu, Yonggang Zhou, Xiaowei Li, Xingchao Wang, Yuanyuan Dong, Nan Wang, Xiuming Liu, Huan Chen, Na Yao, Xiyan Cui, Aysha Jameel, Fawei Wang, Haiyan Li

Abstract

Previously, it was reported that miR396s interact with growth-regulating factors (GRFs) to modulate plant growth, development, and stress resistance. In soybean, 11 gma-miR396 precursors (Pre-miR396a-k) were found, and 24 GmGRFs were predicted as targets of seven mature gma-miR396s (gma-miR396a/b/c/e/h/i/k). To explore the roles of the miR396-GRF module in low water availability response of soybean, we analyzed the expression of Pre-miR396a-k, and found that Pre-miR396a/i/bdgk/e/h were up-regulated in leaves and down-regulated in roots; on the contrary, GmGRF5/6/7/8/15/17/21 were down-regulated in leaves and GmGRF1/2/17/18/19/20/21/22/23/24 were up-regulated in roots of low water potential stressed soybean. Any one of gma-miR396a/b/c/e/h/i/k was able to interact with 20 GmGRFs (GmGRF1/2/6-11/13-24), confirming that this module represents a multi-to-multi network interaction. We generated Arabidopsis plants over-expressing each of the 11 gma-miR396 precursors (Pre-miR396a-k), and seven of them (miR396a/b/c/e/h/i/k-OE transgenic Arabidopsis) showed altered development. The low water availability of miR396a/b/c/e/h/i/k-OE was enhanced in leaves but reduced in seeds and roots. Contrary to previous reports, miR396a/b/c/i-OE seedlings showed lower survival rate than WT when recovering after rewatering under soil drying. In general, we believe our findings are valuable to understand the role of gma-miR396 family in coordinating development and low water availability responses, and can provide potential strategies and directions for soybean breeding programs to improve seed yield and plant drought tolerance.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 6 18%
Other 2 6%
Student > Master 2 6%
Student > Bachelor 1 3%
Other 5 15%
Unknown 11 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 41%
Biochemistry, Genetics and Molecular Biology 4 12%
Unspecified 1 3%
Environmental Science 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 11 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 December 2022.
All research outputs
#5,824,882
of 23,392,375 outputs
Outputs from Frontiers in Plant Science
#3,010
of 21,307 outputs
Outputs of similar age
#90,911
of 316,566 outputs
Outputs of similar age from Frontiers in Plant Science
#85
of 568 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 21,307 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 316,566 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 71% of its contemporaries.
We're also able to compare this research output to 568 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.