RNA-Seq Analysis of the Transcriptome of Leaf Senescence in Tobacco

Wei Li; Yongfeng Guo

doi:10.1007/978-1-4939-7672-0_27

RNA-Seq Analysis of the Transcriptome of Leaf Senescence in Tobacco

Methods Mol Biol. 2018:1744:331-337. doi: 10.1007/978-1-4939-7672-0_27.

Authors

Wei Li¹, Yongfeng Guo²

Affiliations

¹ Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, Shandong, China.
² Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, Shandong, China. [email protected].

PMID: 29392678
DOI: 10.1007/978-1-4939-7672-0_27

Abstract

Leaf senescence is a complex developmental process which is under the control of a highly regulated genetic program and involves major changes in gene expression. During the past two decades, significant progress in molecular understanding of leaf senescence has been made through transcriptomic analysis, which, in comparison with traditional molecular biology, provides enormous amount of information on gene expression regulation at the whole genome level. In this chapter, we describe the protocol for RNA-seq, one of the most commonly used technologies in transcriptomic analysis, using tobacco leaf senescence as a model system.

Keywords: Leaf senescence; RNA-seq; Tobacco; Total RNA.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology / methods
Gene Expression Profiling*
Gene Expression Regulation, Plant
High-Throughput Nucleotide Sequencing
Nicotiana / genetics*
Plant Leaves / genetics*
RNA, Plant
Sequence Analysis, RNA*
Transcriptome*

Substances

RNA, Plant