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MicroRNA Maturation and MicroRNA Target Gene Expression Regulation Are Severely Disrupted in Soybean dicer-like1 Double Mutants

Overview of attention for article published in G3: Genes, Genomes, Genetics, February 2016
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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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users
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3 patents

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74 Mendeley
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Article details
Title
MicroRNA Maturation and MicroRNA Target Gene Expression Regulation Are Severely Disrupted in Soybean dicer-like1 Double Mutants
Published in
G3: Genes, Genomes, Genetics, February 2016
DOI 10.1534/g3.115.022137
Pubmed ID
Authors
Abstract

Small non-protein-coding microRNAs (miRNAs) are present in most eukaryotes and are central effectors of RNA silencing mediated mechanisms for gene expression regulation. In plants, DICER-LIKE1 (DCL1) is the founding member of a highly conserved family of RNase III-like endonucleases that function as core machinery proteins to process hairpin-like precursor transcripts into mature miRNAs, small regulatory RNAs, 21 to 22 nucleotides in length. Zinc-finger nucleases (ZFNs) were used to generate single and double-mutants of putative soybean DCL1 homologs, DCL1a and DCL1b, to confirm their functional role(s) in the soybean miRNA pathway. Neither DCL1 single mutant, dcl1a or dcl1b plants, exhibited a pronounced morphological or molecular phenotype. The dcl1a/dcl1b double mutant however, expressed a strong morphological phenotype, characterized by reduced seed size and aborted seedling development, in addition to defective miRNA precursor transcript processing efficiency and deregulated miRNA target gene expression. Together, these findings indicate that the two soybean DCL1 paralogs, DCL1a and DCL1b, largely play functionally redundant roles in the miRNA pathway and are essential for normal plant development.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 16%
Student > Master 10 14%
Student > Ph. D. Student 9 12%
Other 6 8%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 22 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 27 36%
Biochemistry, Genetics and Molecular Biology 15 20%
Computer Science 3 4%
Engineering 3 4%
Economics, Econometrics and Finance 2 3%
Other 2 3%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 September 2024.
All research outputs
#5,284,581
of 30,730,385 outputs
Outputs from G3: Genes, Genomes, Genetics
#916
of 3,781 outputs
Outputs of similar age
#72,098
of 427,817 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#27
of 70 outputs
Altmetric has tracked 30,730,385 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 74% 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 427,817 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 82% of its contemporaries.
We're also able to compare this research output to 70 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 57% of its contemporaries.