Literature DB >> 23336321

Network analysis for gene discovery in plant-specialized metabolism.

Yasuhiro Higashi1, Kazuki Saito.   

Abstract

Recent omics technologies provide information on multiple components of biological networks. Web-based data mining tools are continuously being developed. Because genes involved in specialized (secondary) metabolism are often co-ordinately regulated at the transcriptional level, a number of gene discovery studies have been successfully conducted using network analysis, especially by integrating gene co-expression network analysis and metabolomic investigation. In addition, next-generation sequencing technologies are currently utilized in functional genomics investigations of Arabidopsis and non-model plant species including medicinal plants. Systems-based approaches are expected to gain importance in medicinal plant research. This review discussed network analysis in Arabidopsis and gene discovery in plant-specialized metabolism in non-model plants.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  data mining; functional genomics; gene discovery; network analysis; omics; plant-specialized metabolism; systems biology

Mesh:

Year:  2013        PMID: 23336321     DOI: 10.1111/pce.12069

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  23 in total

Review 1.  Renaissance in phytomedicines: promising implications of NGS technologies.

Authors:  Sonal Sharma; Neeta Shrivastava
Journal:  Planta       Date:  2016-03-22       Impact factor: 4.116

Review 2.  The Plastid and Mitochondrial Peptidase Network in Arabidopsis thaliana: A Foundation for Testing Genetic Interactions and Functions in Organellar Proteostasis.

Authors:  Kristina Majsec; Nazmul H Bhuiyan; Qi Sun; Sunita Kumari; Vivek Kumar; Doreen Ware; Klaas J van Wijk
Journal:  Plant Cell       Date:  2017-09-25       Impact factor: 11.277

3.  Gene discovery of modular diterpene metabolism in nonmodel systems.

Authors:  Philipp Zerbe; Björn Hamberger; Macaire M S Yuen; Angela Chiang; Harpreet K Sandhu; Lina L Madilao; Anh Nguyen; Britta Hamberger; Søren Spanner Bach; Jörg Bohlmann
Journal:  Plant Physiol       Date:  2013-04-23       Impact factor: 8.340

4.  Coupling deep transcriptome analysis with untargeted metabolic profiling in Ophiorrhiza pumila to further the understanding of the biosynthesis of the anti-cancer alkaloid camptothecin and anthraquinones.

Authors:  Mami Yamazaki; Keiichi Mochida; Takashi Asano; Ryo Nakabayashi; Motoaki Chiba; Nirin Udomson; Yasuyo Yamazaki; Dayan B Goodenowe; Ushio Sankawa; Takuhiro Yoshida; Atsushi Toyoda; Yasushi Totoki; Yoshiyuki Sakaki; Elsa Góngora-Castillo; C Robin Buell; Tetsuya Sakurai; Kazuki Saito
Journal:  Plant Cell Physiol       Date:  2013-03-15       Impact factor: 4.927

5.  Conserved changes in the dynamics of metabolic processes during fruit development and ripening across species.

Authors:  Sebastian Klie; Sonia Osorio; Takayuki Tohge; María F Drincovich; Aaron Fait; James J Giovannoni; Alisdair R Fernie; Zoran Nikoloski
Journal:  Plant Physiol       Date:  2013-11-15       Impact factor: 8.340

Review 6.  Putative genes involved in saikosaponin biosynthesis in Bupleurum species.

Authors:  Tsai-Yun Lin; Chung-Yi Chiou; Shu-Jiau Chiou
Journal:  Int J Mol Sci       Date:  2013-06-19       Impact factor: 5.923

7.  Editorial: Emerging Technologies for the Study of Plant Environmental Sensing.

Authors:  Akira Nagatani; Tetsuro Mimura
Journal:  Plant Cell Physiol       Date:  2015-07       Impact factor: 4.927

8.  Landscape of the lipidome and transcriptome under heat stress in Arabidopsis thaliana.

Authors:  Yasuhiro Higashi; Yozo Okazaki; Fumiyoshi Myouga; Kazuo Shinozaki; Kazuki Saito
Journal:  Sci Rep       Date:  2015-05-27       Impact factor: 4.379

Review 9.  Unlocking Triticeae genomics to sustainably feed the future.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2013-11-06       Impact factor: 4.927

10.  An integrated genomic and metabolomic framework for cell wall biology in rice.

Authors:  Kai Guo; Weihua Zou; Yongqing Feng; Mingliang Zhang; Jing Zhang; Fen Tu; Guosheng Xie; Lingqiang Wang; Yangting Wang; Sebastian Klie; Staffan Persson; Liangcai Peng
Journal:  BMC Genomics       Date:  2014-07-15       Impact factor: 3.969

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