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Transcriptome Analysis of Stem and Globally Comparison with Other Tissues in Brassica napus

Overview of attention for article published in Frontiers in Plant Science, September 2016
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Title
Transcriptome Analysis of Stem and Globally Comparison with Other Tissues in Brassica napus
Published in
Frontiers in Plant Science, September 2016
DOI 10.3389/fpls.2016.01403
Pubmed ID
Authors

Liyun Miao, Libin Zhang, Nadia Raboanatahiry, Guangyuan Lu, Xuekun Zhang, Jun Xiang, Jianping Gan, Chunhua Fu, Maoteng Li

Abstract

Brassica napus is one of the most important oilseed crops in the world. However, there is currently no enough stem transcriptome information and comparative transcriptome analysis of different tissues, which impedes further functional genomics research on B. napus. In this study, the stem transcriptome of B. napus was characterized by RNA-seq technology. Approximately 13.4 Gb high-quality clean reads with an average length of 100 bp were generated and used for comparative transcriptome analysis with the existing transcriptome sequencing data of roots, leaves, flower buds, and immature embryos of B. napus. All the transcripts were annotated against GO and KEGG databases. The common genes in five tissues, differentially expressed genes (DEGs) of the common genes between stems and other tissues, and tissue-specific genes were detected, and the main biochemical activities and pathways implying the common genes, DEGs and tissue-specific genes were investigated. Accordingly, the common transcription factors (TFs) in the five tissues and tissue-specific TFs were identified, and a TFs-based regulation network between TFs and the target genes involved in 'Phenylpropanoid biosynthesis' pathway were constructed to show several important TFs and key nodes in the regulation process. Collectively, this study not only provided an available stem transcriptome resource in B. napus, but also revealed valuable comparative transcriptome information of five tissues of B. napus for future investigation on specific processes, functions and pathways.

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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 %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Student > Master 5 13%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 62%
Biochemistry, Genetics and Molecular Biology 6 15%
Economics, Econometrics and Finance 1 3%
Chemistry 1 3%
Unknown 7 18%
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 07 October 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Frontiers in Plant Science
#19,715
of 24,598 outputs
Outputs of similar age
#288,892
of 328,377 outputs
Outputs of similar age from Frontiers in Plant Science
#310
of 421 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,598 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 421 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.