Literature DB >> 23996307

RNA-Seq for transcriptome analysis in non-model plants.

Rohini Garg1, Mukesh Jain.   

Abstract

Sequencing of mRNA using next-generation sequencing (NGS) technologies (RNA-seq) has the potential to reveal unprecedented complexity of the transcriptomes. The transcriptome sequencing of an organism provides quick insights into the gene space, opportunity to isolate genes of interest, development of functional markers, quantitation of gene expression, and comparative genomic studies. Although becoming cheaper, transcriptome sequencing still remains an expensive endeavor. Further, the assembly of millions and billions of RNA-seq reads to construct the complete transcriptome poses great informatics challenges. Here, first we outline various important issues from experimental design to data analysis, including various strategies of transcriptome assembly, which need substantial consideration for a successful RNA-seq experiment. Further, we describe a method for using RNA-seq to characterize the transcriptome of a plant species, taking the example of a legume crop plant chickpea. Our aim is to provide a quick start guide to the nonexpert researchers for NGS-based transcriptome analysis.

Entities:  

Mesh:

Year:  2013        PMID: 23996307     DOI: 10.1007/978-1-62703-613-9_4

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


  19 in total

Review 1.  Legume genomics: understanding biology through DNA and RNA sequencing.

Authors:  Jamie A O'Rourke; Yung-Tsi Bolon; Bruna Bucciarelli; Carroll P Vance
Journal:  Ann Bot       Date:  2014-04-25       Impact factor: 4.357

Review 2.  Integration of omics approaches to understand oil/protein content during seed development in oilseed crops.

Authors:  Manju Gupta; Pudota B Bhaskar; Shreedharan Sriram; Po-Hao Wang
Journal:  Plant Cell Rep       Date:  2016-10-27       Impact factor: 4.570

Review 3.  Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.

Authors:  Manish Tiwari; Baljinder Singh; Doohong Min; S V Krishna Jagadish
Journal:  Front Plant Sci       Date:  2022-05-09       Impact factor: 6.627

4.  An integrated transcriptome mapping the regulatory network of coding and long non-coding RNAs provides a genomics resource in chickpea.

Authors:  Mukesh Jain; Juhi Bansal; Mohan Singh Rajkumar; Rohini Garg
Journal:  Commun Biol       Date:  2022-10-19

5.  Modern Approaches for Transcriptome Analyses in Plants.

Authors:  Diego Mauricio Riaño-Pachón; Hector Fabio Espitia-Navarro; John Jaime Riascos; Gabriel Rodrigues Alves Margarido
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  Transcriptomic analysis of the primary roots of Alhagi sparsifolia in response to water stress.

Authors:  Huanian Wu; Yongqiang Zhang; Wangbin Zhang; Xinwu Pei; Chao Zhang; Shirong Jia; Weimin Li
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

7.  Integrating de novo transcriptome assembly and cloning to obtain chicken Ovocleidin-17 full-length cDNA.

Authors:  Quan Zhang; Long Liu; Feng Zhu; ZhongHua Ning; Maxwell T Hincke; Ning Yang; ZhuoCheng Hou
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

8.  Transcriptome and metabolome analysis in shoot and root of Valeriana fauriei.

Authors:  Yun Ji Park; Xiaohua Li; Seung Jae Noh; Jae Kwang Kim; Soon Sung Lim; Nam Il Park; Soonok Kim; Yeon Bok Kim; Young Ock Kim; Sang Won Lee; Mariadhas Valan Arasu; Naif Abdullah Al-Dhabi; Sang Un Park
Journal:  BMC Genomics       Date:  2016-04-23       Impact factor: 3.969

9.  De novo assembly and transcriptome analysis of two contrary tillering mutants to learn the mechanisms of tillers outgrowth in switchgrass (Panicum virgatum L.).

Authors:  Kaijie Xu; Fengli Sun; Guaiqiang Chai; Yongfeng Wang; Lili Shi; Shudong Liu; Yajun Xi
Journal:  Front Plant Sci       Date:  2015-09-16       Impact factor: 5.753

10.  Massive sequencing of Ulmus minor's transcriptome provides new molecular tools for a genus under the constant threat of Dutch elm disease.

Authors:  Pedro Perdiguero; Martin Venturas; María Teresa Cervera; Luis Gil; Carmen Collada
Journal:  Front Plant Sci       Date:  2015-07-20       Impact factor: 5.753

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