↓ Skip to main content

Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey…

Overview of attention for article published in BMC Plant Biology, November 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey scaffold sequences
Published in
BMC Plant Biology, November 2017
DOI 10.1186/s12870-017-1169-1
Pubmed ID
Authors

Anburaj Jeyaraj, Xiao Zhang, Yan Hou, Mingzhu Shangguan, Prabu Gajjeraman, Yeyun Li, Chaoling Wei

Abstract

MicroRNAs (miRNAs) are important for plant growth and responses to environmental stresses via post-transcriptional regulation of gene expression. Tea, which is primarily produced from one bud and two tender leaves of the tea plant (Camellia sinensis), is one of the most popular non-alcoholic beverages worldwide owing to its abundance of secondary metabolites. A large number of miRNAs have been identified in various plants, including non-model species. However, due to the lack of reference genome sequences and/or information of tea plant genome survey scaffold sequences, discovery of miRNAs has been limited in C. sinensis. Using small RNA sequencing, combined with our recently obtained genome survey data, we have identified and analyzed 175 conserved and 83 novel miRNAs mainly in one bud and two tender leaves of the tea plant. Among these, 93 conserved and 18 novel miRNAs were validated using miRNA microarray hybridization. In addition, the expression pattern of 11 conserved and 8 novel miRNAs were validated by stem-loop-qRT-PCR. A total of 716 potential target genes of identified miRNAs were predicted. Further, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that most of the target genes were primarily involved in stress response and enzymes related to phenylpropanoid biosynthesis. The predicted targets of 4 conserved miRNAs were further validated by 5'RLM-RACE. A negative correlation between expression profiles of 3 out of 4 conserved miRNAs (csn-miR160a-5p, csn-miR164a, csn-miR828 and csn-miR858a) and their targets (ARF17, NAC100, WER and MYB12 transcription factor) were observed. In summary, the present study is one of few such studies on miRNA detection and identification in the tea plant. The predicted target genes of majority of miRNAs encoded enzymes, transcription factors, and functional proteins. The miRNA-target transcription factor gene interactions may provide important clues about the regulatory mechanism of these miRNAs in the tea plant. The data reported in this study will make a huge contribution to knowledge on the potential miRNA regulators of the secondary metabolism pathway and other important biological processes in C. sinensis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Ph. D. Student 5 12%
Student > Master 4 9%
Student > Postgraduate 3 7%
Student > Bachelor 2 5%
Other 6 14%
Unknown 16 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 33%
Biochemistry, Genetics and Molecular Biology 5 12%
Unspecified 1 2%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 2 5%
Unknown 19 44%
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 23 November 2017.
All research outputs
#14,959,314
of 23,008,860 outputs
Outputs from BMC Plant Biology
#1,286
of 3,283 outputs
Outputs of similar age
#251,020
of 437,733 outputs
Outputs of similar age from BMC Plant Biology
#29
of 88 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,283 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 54% 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 437,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 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 61% of its contemporaries.