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Association of microRNAs with Types of Leaf Curvature in Brassica rapa

Overview of attention for article published in Frontiers in Plant Science, February 2018
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Title
Association of microRNAs with Types of Leaf Curvature in Brassica rapa
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00073
Pubmed ID
Authors

Wenqing Ren, Han Wang, Jinjuan Bai, Feijie Wu, Yuke He

Abstract

Many vegetable crops ofBrassica rapaare characterized by their typical types of leaf curvature. Leaf curvature in the right direction and to the proper degree is important for the yield and quality of green vegetable products, when cultivated under stress conditions. Recent research has unveiled some of the roles of miRNAs inBrassicacrops such as how they regulate the timing of leafy head initiation and shape of the leafy head. However, the molecular mechanism underlying the variability in leaf curvature inB. raparemains unclear. We tested the hypothesis that the leaf curvature ofB. rapais affected by miRNA levels. On the basis of leaf phenotyping, 56B. rapaaccessions were classified into five leaf curvature types, some of which were comparable to miRNA mutants ofArabidopsis thalianain phenotype. Higher levels of miR166 and miR319a expression were associated with downward curvature and wavy margins, respectively. Overexpression of theBrp-MIR166g-1gene caused rosette leaves to change from flat to downward curving and folding leaves to change from upward curving to flat, leading to the decrease in the number of incurved leaves and size of the leafy head. Our results reveal that miRNAs affect the types of leaf curvature inB. rapa. These findings provide insight into the relationship between miRNAs and variation in leaf curvature.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 28%
Student > Ph. D. Student 6 19%
Student > Doctoral Student 2 6%
Librarian 1 3%
Student > Bachelor 1 3%
Other 3 9%
Unknown 10 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 50%
Biochemistry, Genetics and Molecular Biology 4 13%
Unspecified 1 3%
Unknown 11 34%
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 12 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from Frontiers in Plant Science
#14,015
of 20,560 outputs
Outputs of similar age
#327,813
of 437,335 outputs
Outputs of similar age from Frontiers in Plant Science
#347
of 439 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,560 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 439 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.