NDLI: Next-generation sequencing-based transcriptome profiling analysis of Pohlia nutans reveals insight into the stress-relevant genes in Antarctic moss

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Next-generation sequencing-based transcriptome profiling analysis of Pohlia nutans reveals insight into the stress-relevant genes in Antarctic moss

Content Provider	Springer Nature Link
Author	Liu, Shenghao Wang, Nengfei Zhang, Pengying Cong, Bailin Lin, Xuezheng Wang, Shouqiang Xia, Guangmin Huang, Xiaohang
Copyright Year	2013
Abstract	Genome-wide characterization of the Pohlia nutans transcriptome is essential for clarifying the role of stress-relevant genes in Antarctic moss adapting to the extreme polar environment. High-throughput Illumina sequencing was used to analyze the gene expression profile of P. nutans after cold treatment. A total of 93,488 unigenes, with an average length of 405 bp, were obtained. Gene annotation showed that 16,781 unigenes had significant similarity to known functional protein-coding genes, most of which were annotated using the GO, KOG and KEGG pathway databases. Global profiling of the differentially expressed genes revealed that 3,796 unigenes were significantly upregulated after cold treatment, while 1,405 unigenes were significantly downregulated. In addition, 816 receptor-like kinases and 1,309 transcription factors were identified from P. nutans. This overall survey of transcripts and stress-relevant genes can contribute to understanding the stress-resistance mechanism of Antarctic moss and will accelerate the practical exploitation of the genetic resources for this organism.
Starting Page	391
Ending Page	403
Page Count	13
File Format	PDF
ISSN	14310651
Journal	Extremophiles
Volume Number	17
Issue Number	3
e-ISSN	14334909
Language	English
Publisher	Springer Japan
Publisher Date	2013-03-27
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mosses Transcriptome Gene expression profiling High-throughput RNA sequencing Cold treatment Microbiology Biotechnology Biochemistry Microbial Ecology
Content Type	Text
Resource Type	Article
Subject	Medicine Molecular Medicine Microbiology

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