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Expression of MicroRNAs in Cotton

Overview of attention for article published in Molecular Biotechnology, March 2009
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39 Mendeley
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1 CiteULike
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1 Connotea
Title
Expression of MicroRNAs in Cotton
Published in
Molecular Biotechnology, March 2009
DOI 10.1007/s12033-009-9163-y
Pubmed ID
Authors

Baohong Zhang, Xiaoping Pan

Abstract

MicroRNAs (miRNAs) are a class of newly identified non-protein-coding small RNAs. miRNAs post-transcriptionally regulate the expression of more than 30% genes, which control many biological and metabolic progresses, including plant growth, development, and response to environmental stresses. However, no studies have been performed on miRNA expression in cotton, one of the most important fiber and economic crops. In this study, we employed quantitative real-time PCR (qRT-PCR) to detect and compare miRNA expressions in eight different cotton organs at different developmental stages. Our results showed that miRNAs were differentially expressed in different cotton organs, with certain classes expressed preferentially in an organ-specific manner. The miR-156 was highly expressed in cotyledon, whereas the miR-172 was highly expressed in young leaves at fruit branch, young flower buds, 0 day post-anthesis (DPA) ovules, and 0 DPA petals. We also found that miR-172 was not highly expressed in all parts of flowers. In contrast, miR-172 was highly expressed in petal but not in stamen and carpel. Interestingly, miR-162 was highly expressed in immature fiber, 2 DPA ovules, and mixtures of 0 DPA stamen and carpel, suggesting miR-162 may play a role in cotton fiber differentiation and development. Our previous study showed that miR-396 may target a fiber-related gene the callose synthase catalytic subunit. In this study, the miR-396 expression was observed in all eight cotton organs. This study identified the expression of miRNAs that may regulate the development of cotton and cotton fiber.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Brazil 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Researcher 9 23%
Student > Master 5 13%
Professor > Associate Professor 4 10%
Librarian 2 5%
Other 4 10%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 77%
Biochemistry, Genetics and Molecular Biology 2 5%
Engineering 2 5%
Social Sciences 1 3%
Unknown 4 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 September 2010.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Molecular Biotechnology
#274
of 959 outputs
Outputs of similar age
#33,250
of 95,042 outputs
Outputs of similar age from Molecular Biotechnology
#4
of 9 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 959 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.