Literature DB >> 22268224

Designing a transcriptome next-generation sequencing project for a nonmodel plant species.

Susan R Strickler1, Aureliano Bombarely, Lukas A Mueller.   

Abstract

The application of next-generation sequencing (NGS) to transcriptomics, commonly called RNA-seq, allows the nearly complete characterization of transcriptomic events occurring in a specific tissue. It has proven particularly useful in nonmodel species, which often lack the resources available for sequenced organisms. Mainly, RNA-seq does not require a reference genome to gain useful transcriptomic information. In this review, the application of RNA-seq to nonmodel plant species will be addressed. Important experimental considerations from presequencing issues to postsequencing analysis, including sample and platform selection, and useful bioinformatics tools for assembly and data analysis, are covered. Methods of assembling RNA-seq data and analyses commonly performed with RNA-seq data, including single nucleotide polymorphism detection and analysis of differential expression, are explored. In addition, studies that have used RNA-seq to elucidate nonmodel plant transcriptomics are highlighted.

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Year:  2012        PMID: 22268224     DOI: 10.3732/ajb.1100292

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  81 in total

Review 1.  Plant transcriptomics and responses to environmental stress: an overview.

Authors:  Sameen Ruqia Imadi; Alvina Gul Kazi; Mohammad Abass Ahanger; Salih Gucel; Parvaiz Ahmad
Journal:  J Genet       Date:  2015-09       Impact factor: 1.166

Review 2.  Applications and challenges of next-generation sequencing in Brassica species.

Authors:  Lijuan Wei; Meili Xiao; Alice Hayward; Donghui Fu
Journal:  Planta       Date:  2013-09-24       Impact factor: 4.116

3.  De novo sequencing and analysis of the lily pollen transcriptome: an open access data source for an orphan plant species.

Authors:  Veronika Lang; Björn Usadel; Gerhard Obermeyer
Journal:  Plant Mol Biol       Date:  2014-10-24       Impact factor: 4.076

4.  Sequencing, de novo assembly and annotation of Digitalis ferruginea subsp. schischkinii transcriptome.

Authors:  Ercan Selçuk Ünlü; Özge Kaya; İsmail Eker; Ekrem Gürel
Journal:  Mol Biol Rep       Date:  2021-01-05       Impact factor: 2.316

5.  The complete chloroplast genome of the threatened Dipentodon sinicus (Dipentodontaceae).

Authors:  Ming-Tai An; Xing-Yong Cui; Jia-Xin Yang; Guo-Xiong Hu
Journal:  J Genet       Date:  2019-03       Impact factor: 1.166

6.  Illumina-based de novo transcriptome sequencing and analysis of Chinese forest musk deer.

Authors:  Zhongxian Xu; Hang Jie; Binlong Chen; Uma Gaur; Nan Wu; Jian Gao; Pinming Li; Guijun Zhao; Dejun Zeng; Mingyao Yang; Diyan Li
Journal:  J Genet       Date:  2017-12       Impact factor: 1.166

7.  Transcriptome profiling of rubber tree (Hevea brasiliensis) discovers candidate regulators of the cold stress response.

Authors:  Xiao-Xiao Gong; Bing-Yu Yan; Jin Hu; Cui-Ping Yang; Yi-Jian Li; Jin-Ping Liu; Wen-Bin Liao
Journal:  Genes Genomics       Date:  2018-03-06       Impact factor: 1.839

8.  Comparative transcriptome analysis of the petal degeneration mutant pdm in Chinese cabbage (Brassica campestris ssp. pekinensis) using RNA-Seq.

Authors:  Shengnan Huang; Zhiyong Liu; Runpeng Yao; Danyang Li; Hui Feng
Journal:  Mol Genet Genomics       Date:  2015-04-10       Impact factor: 3.291

9.  Comparative physiological and transcriptomic analyses of photosynthesis in Sphagneticola calendulacea (L.) Pruski and Sphagneticola trilobata (L.) Pruski.

Authors:  Min-Ling Cai; Qi-Lei Zhang; Jun-Jie Zhang; Wen-Qiao Ding; Hong-Ying Huang; Chang-Lian Peng
Journal:  Sci Rep       Date:  2020-10-20       Impact factor: 4.379

10.  Characterization of mango (Mangifera indica L.) transcriptome and chloroplast genome.

Authors:  M Kamran Azim; Ishtaiq A Khan; Yong Zhang
Journal:  Plant Mol Biol       Date:  2014-02-11       Impact factor: 4.076

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