Literature DB >> 22155524

Next-generation sequencing technologies for gene expression profiling in plants.

Mukesh Jain1.   

Abstract

Next-generation sequencing (NGS) provides a better approach to gene expression profiling with several advantages. The power of NGS along with novel molecular techniques and computational tools allow the researchers to perform the gene expression profiling to reveal transcriptional complexity of an organism and answering several biological questions. Although many studies for gene expression profiling related to various aspects have been performed in animal systems revealing unprecedented levels of complexity of transcriptomes, their use is still limited in plant biology. This review describes the use of NGS technologies with respect to gene expression profiling, bioinformatics challenges associated with data analysis and advances made so far in the plant biology research. We anticipate many more studies in recent future, which will surely advance our understanding of the complexity of plant genomes.

Mesh:

Year:  2011        PMID: 22155524     DOI: 10.1093/bfgp/elr038

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  44 in total

Review 1.  Integrated genomics and molecular breeding approaches for dissecting the complex quantitative traits in crop plants.

Authors:  Alice Kujur; Maneesha S Saxena; Deepak Bajaj; Swarup K Parida
Journal:  J Biosci       Date:  2013-12       Impact factor: 1.826

Review 2.  The use of high-throughput sequencing methods for plant microRNA research.

Authors:  Xiaoxia Ma; Zhonghai Tang; Jingping Qin; Yijun Meng
Journal:  RNA Biol       Date:  2015       Impact factor: 4.652

Review 3.  Strengthening desert plant biotechnology research in the United Arab Emirates: a viewpoint.

Authors:  Sanjay Gairola; Khawla I Al Shaer; Eman K Al Harthi; Kareem A Mosa
Journal:  Physiol Mol Biol Plants       Date:  2018-05-30

4.  Analysis of global gene expression profiles during the flowering initiation process of Lilium × formolongi.

Authors:  Yu-Fan Li; Ming-Fang Zhang; Meng Zhang; Gui-Xia Jia
Journal:  Plant Mol Biol       Date:  2017-04-20       Impact factor: 4.076

5.  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

6.  Comprehensive transcriptome profiling to identify genes involved in pistil abortion of Japanese apricot.

Authors:  Shahid Iqbal; Zhenpeng Pan; Faisal Hayat; Yang Bai; Daouda Coulibaly; Sajid Ali; Xiaopeng Ni; Ting Shi; Zhihong Gao
Journal:  Physiol Mol Biol Plants       Date:  2021-06-08

7.  De Novo Assembly and Annotation of the Chinese Chive (Allium tuberosum Rottler ex Spr.) Transcriptome Using the Illumina Platform.

Authors:  Shu-Mei Zhou; Li-Mei Chen; Shi-Qi Liu; Xiu-Feng Wang; Xiu-Dong Sun
Journal:  PLoS One       Date:  2015-07-23       Impact factor: 3.240

8.  Dynamic Analysis of Gene Expression in Rice Superior and Inferior Grains by RNA-Seq.

Authors:  Hongzheng Sun; Ting Peng; Yafan Zhao; Yanxiu Du; Jing Zhang; Junzhou Li; Zeyu Xin; Quanzhi Zhao
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

9.  Advances in functional genomics for investigating salinity stress tolerance mechanisms in cereals.

Authors:  Megan C Shelden; Ute Roessner
Journal:  Front Plant Sci       Date:  2013-05-10       Impact factor: 5.753

10.  De novo sequencing and analysis of the cranberry fruit transcriptome to identify putative genes involved in flavonoid biosynthesis, transport and regulation.

Authors:  Haiyue Sun; Yushan Liu; Yuzhuo Gai; Jinman Geng; Li Chen; Hongdi Liu; Limin Kang; Youwen Tian; Yadong Li
Journal:  BMC Genomics       Date:  2015-09-02       Impact factor: 3.969

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