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MicroRNA signatures characterizing caste‐independent ovarian activity in queen and worker honeybees (Apis mellifera L.)

Overview of attention for article published in Insect Molecular Biology, February 2016
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
MicroRNA signatures characterizing caste‐independent ovarian activity in queen and worker honeybees (Apis mellifera L.)
Published in
Insect Molecular Biology, February 2016
DOI 10.1111/imb.12214
Pubmed ID
Authors

L M F Macedo, F M F Nunes, F C P Freitas, C V Pires, E D Tanaka, J R Martins, M-D Piulachs, A S Cristino, D G Pinheiro, Z L P Simões

Abstract

Queen and worker honeybees differ profoundly in reproductive capacity. The queen of this complex society, with 200 highly active ovarioles in each ovary, is the fertile caste, whereas the workers have approximately 20 ovarioles as a result of receiving a different diet during larval development. In a regular queenright colony, the workers have inactive ovaries and do not reproduce. However, if the queen is sensed to be absent, some of the workers activate their ovaries, producing viable haploid eggs that develop into males. Here, a deep-sequenced ovary transcriptome library of reproductive workers was used as supporting data to assess the dynamic expression of the regulatory molecules and microRNAs (miRNAs) of reproductive and nonreproductive honeybee females. In this library, most of the differentially expressed miRNAs are related to ovary physiology or oogenesis. When we quantified the dynamic expression of 19 miRNAs in the active and inactive worker ovaries and compared their expression in the ovaries of virgin and mated queens, we noted that some miRNAs (miR-1, miR-31a, miR-13b, miR-125, let-7 RNA, miR-100, miR-276, miR-12, miR-263a, miR-306, miR-317, miR-92a and miR-9a) could be used to identify reproductive and nonreproductive statuses independent of caste. Furthermore, integrative gene networks suggested that some candidate miRNAs function in the process of ovary activation in worker bees.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 30%
Researcher 10 20%
Student > Master 5 10%
Student > Doctoral Student 2 4%
Professor 2 4%
Other 4 8%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 46%
Biochemistry, Genetics and Molecular Biology 13 26%
Neuroscience 1 2%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2016.
All research outputs
#15,132,619
of 24,464,848 outputs
Outputs from Insect Molecular Biology
#468
of 862 outputs
Outputs of similar age
#213,105
of 408,393 outputs
Outputs of similar age from Insect Molecular Biology
#6
of 19 outputs
Altmetric has tracked 24,464,848 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 408,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 63% of its contemporaries.