Literature DB >> 30701502

Degradome Sequencing in Plants.

Shih-Shun Lin1, Yihua Chen2, Mei-Yeh Jade Lu3.   

Abstract

Degradome sequencing provides large amounts of data regarding RNA degradation. The degradome library construction described here is modified from the 5'-rapid amplification of cDNA ends (5'-RACE), and each degradome cDNA is sequenced by next-generation sequencing (NGS). Degradome profiles provide information confirming miRNA-mediated cleavage of target genes and allow the identification of novel targets. Furthermore, degradome sequencing provides additional information for the study of RNA processing, such as information regarding RNA-binding proteins. In this chapter, we describe a detailed optimized protocol for constructing a degradome library with high yield and quality, along with NGS and data mining procedures. We hope that the degradome approach will be applied to further studies of non-model organisms.

Keywords:  5′-RACE; Degradome; Next-generation sequencing; RNA degradation; Target RNA; microRNA

Mesh:

Substances:

Year:  2019        PMID: 30701502     DOI: 10.1007/978-1-4939-9042-9_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  The RNA degradome: a precious resource for deciphering RNA processing and regulation codes in plants.

Authors:  Xiaoxia Ma; Xiaopu Yin; Zhonghai Tang; Hidetaka Ito; Chaogang Shao; Yijun Meng; Tian Xie
Journal:  RNA Biol       Date:  2020-04-26       Impact factor: 4.652

2.  Degradome sequencing reveals an integrative miRNA-mediated gene interaction network regulating rice seed vigor.

Authors:  Shiqi Zhou; Kerui Huang; Yan Zhou; Yingqian Hu; Yuchao Xiao; Ting Chen; Mengqi Yin; Yan Liu; Mengliang Xu; Xiaocheng Jiang
Journal:  BMC Plant Biol       Date:  2022-06-01       Impact factor: 5.260

Review 3.  MicroRNA-mediated bioengineering for climate-resilience in crops.

Authors:  Suraj Patil; Shrushti Joshi; Monica Jamla; Xianrong Zhou; Mohammad J Taherzadeh; Penna Suprasanna; Vinay Kumar
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

4.  Prediction and Characterization of miRNA/Target Pairs in Non-Model Plants Using RNA-seq.

Authors:  Kira C M Neller; Alexander Klenov; Katalin A Hudak
Journal:  Curr Protoc Plant Biol       Date:  2019-05-13
  4 in total

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