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RNA-seq for comparative transcript profiling of kenaf under salinity stress

Overview of attention for article published in Journal of Plant Research, December 2016
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Title
RNA-seq for comparative transcript profiling of kenaf under salinity stress
Published in
Journal of Plant Research, December 2016
DOI 10.1007/s10265-016-0898-9
Pubmed ID
Authors

Hui Li, Defang Li, Anguo Chen, Huijuan Tang, Jianjun Li, Siqi Huang

Abstract

Kenaf (Hibiscus cannabinus L.) is an economically important global natural fiber crop. As a consequence of the increased demand for food crops and the reduction of available arable land, kenaf cultivation has increasingly shifted to saline and alkaline land. To investigate the molecular mechanism of salinity tolerance in kenaf, we performed Illumina high-throughput RNA sequencing on shoot tips of kenaf and identified 71,318 unigenes, which were annotated using four different protein databases. In total, 2,384 differentially expressed genes (DEGs) were identified between the salt-stressed and the control plants, 1,702 of these transcripts were up-regulated and 683 transcripts were down-regulated. Thirty-seven transcripts belonging to 15 transcription-factor families that respond to salt stress were identified. Gene ontology function enrichment analysis revealed that the genes encoding antioxidant enzymes were up-regulated. The amino acid metabolism and carbohydrate metabolism pathways were highly enriched among these DEGs under salt stress conditions. In order to confirm the RNA-seq data, we randomly selected 20 unigenes for analysis using a quntitative real-time polymerase chain reaction. Our study not only provided the large-scale assessment of transcriptome resources of kenaf but also guidelines for understanding the mechanism underlying salt stress responses in kenaf.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Student > Master 3 15%
Student > Doctoral Student 2 10%
Student > Postgraduate 2 10%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 35%
Biochemistry, Genetics and Molecular Biology 3 15%
Physics and Astronomy 1 5%
Medicine and Dentistry 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 7 35%
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 03 March 2017.
All research outputs
#18,498,050
of 22,919,505 outputs
Outputs from Journal of Plant Research
#666
of 832 outputs
Outputs of similar age
#310,289
of 420,738 outputs
Outputs of similar age from Journal of Plant Research
#14
of 24 outputs
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