Transcriptomic analysis of Camellia oleifera in response to drought stress using high throughput RNA-seq

Transcriptomic analysis of Camellia oleifera in response to drought stress using high throughput... Camellia oleifera Abel, a woody oil plant of major economic value, has strong ability for stress resistance. However, insufficient genetic and genomic information hinders the research into the mechanisms of its stress response. In this work, Illumina Genome sequencing platform was used for de novo assembling the transcriptomes of leaves from C. oleifera seedlings grown under optimal (control) and drought conditions. A total of 66570 unigenes with a mean length of 659.78 bp were assembled, amongst which 35259 unigenes could be annotated using the NCBI nr database, Swiss-Prot protein database, Cluster of Orthologous Groups of protein (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In addition, 10869 simple sequence repeats (SSRs) were mined in the leaf transcriptome of C. oleifera. In a comparative transcriptome analysis, when large numbers of differentially expressed unigenes (DEUs) were detected at different stages of drought stress, most unigenes were downregulated under the stress. In the KEGG pathway enrichment analysis, some important KEGG metabolic pathways of C. oleifera were discovered, such as circadian rhythm, flavone and flavonol biosynthesis, and ribosomal structure. Our studies provide a comprehensive map of physiological and molecular responses of C. oleifera to drought stress. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Plant Physiology Springer Journals

Transcriptomic analysis of Camellia oleifera in response to drought stress using high throughput RNA-seq

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Publisher
Pleiades Publishing
Copyright
Copyright © 2017 by Pleiades Publishing, Ltd.
Subject
Life Sciences; Plant Physiology; Plant Sciences
ISSN
1021-4437
eISSN
1608-3407
D.O.I.
10.1134/S1021443717050168
Publisher site
See Article on Publisher Site

Abstract

Camellia oleifera Abel, a woody oil plant of major economic value, has strong ability for stress resistance. However, insufficient genetic and genomic information hinders the research into the mechanisms of its stress response. In this work, Illumina Genome sequencing platform was used for de novo assembling the transcriptomes of leaves from C. oleifera seedlings grown under optimal (control) and drought conditions. A total of 66570 unigenes with a mean length of 659.78 bp were assembled, amongst which 35259 unigenes could be annotated using the NCBI nr database, Swiss-Prot protein database, Cluster of Orthologous Groups of protein (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In addition, 10869 simple sequence repeats (SSRs) were mined in the leaf transcriptome of C. oleifera. In a comparative transcriptome analysis, when large numbers of differentially expressed unigenes (DEUs) were detected at different stages of drought stress, most unigenes were downregulated under the stress. In the KEGG pathway enrichment analysis, some important KEGG metabolic pathways of C. oleifera were discovered, such as circadian rhythm, flavone and flavonol biosynthesis, and ribosomal structure. Our studies provide a comprehensive map of physiological and molecular responses of C. oleifera to drought stress.

Journal

Russian Journal of Plant PhysiologySpringer Journals

Published: Aug 20, 2017

References

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