Literature DB >> 16096979

Gene network analysis in plant development by genomic technologies.

Frank Wellmer1, José Luis Riechmann.   

Abstract

The analysis of the gene regulatory networks underlying development is of central importance for a better understanding of the mechanisms that control the formation of the different cell-types, tissues or organs of an organism. The recent invention of genomic technologies has opened the possibility of studying these networks at a global level. In this paper, we summarize some of the recent advances that have been made in the understanding of plant development by the application of genomic technologies. We focus on a few specific processes, namely flower and root development and the control of the cell cycle, but we also highlight landmark studies in other areas that opened new avenues of experimentation or analysis. We describe the methods and the strategies that are currently used for the analysis of plant development by genomic technologies, as well as some of the problems and limitations that hamper their application. Since many genomic technologies and concepts were first developed and tested in organisms other than plants, we make reference to work in non-plant species and compare the current state of network analysis in plants to that in other multicellular organisms.

Mesh:

Year:  2005        PMID: 16096979     DOI: 10.1387/ijdb.051991fw

Source DB:  PubMed          Journal:  Int J Dev Biol        ISSN: 0214-6282            Impact factor:   2.203


  17 in total

1.  Control of reproductive floral organ identity specification in Arabidopsis by the C function regulator AGAMOUS.

Authors:  Diarmuid S ÓMaoiléidigh; Samuel E Wuest; Liina Rae; Andrea Raganelli; Patrick T Ryan; Kamila Kwasniewska; Pradeep Das; Amanda J Lohan; Brendan Loftus; Emmanuelle Graciet; Frank Wellmer
Journal:  Plant Cell       Date:  2013-07-02       Impact factor: 11.277

2.  microRNAs responsive to ozone-induced oxidative stress in Arabidopsis thaliana.

Authors:  Niranjani J Iyer; Xiaoyun Jia; Ramanjulu Sunkar; Guiliang Tang; Ramamurthy Mahalingam
Journal:  Plant Signal Behav       Date:  2012-04-01

Review 3.  AP2/EREBP transcription factors are part of gene regulatory networks and integrate metabolic, hormonal and environmental signals in stress acclimation and retrograde signalling.

Authors:  Karl-Josef Dietz; Marc Oliver Vogel; Andrea Viehhauser
Journal:  Protoplasma       Date:  2010-04-22       Impact factor: 3.356

4.  Transcriptome-wide analysis of uncapped mRNAs in Arabidopsis reveals regulation of mRNA degradation.

Authors:  Yuling Jiao; José Luis Riechmann; Elliot M Meyerowitz
Journal:  Plant Cell       Date:  2008-10-24       Impact factor: 11.277

5.  Unraveling transcriptional control in Arabidopsis using cis-regulatory elements and coexpression networks.

Authors:  Klaas Vandepoele; Mauricio Quimbaya; Tine Casneuf; Lieven De Veylder; Yves Van de Peer
Journal:  Plant Physiol       Date:  2009-04-08       Impact factor: 8.340

6.  Silencing of a single gene in tomato plants resistant to Tomato yellow leaf curl virus renders them susceptible to the virus.

Authors:  Assaf Eybishtz; Yuval Peretz; Dagan Sade; Fouad Akad; Henryk Czosnek
Journal:  Plant Mol Biol       Date:  2009-06-17       Impact factor: 4.076

7.  AGRIS and AtRegNet. a platform to link cis-regulatory elements and transcription factors into regulatory networks.

Authors:  Saranyan K Palaniswamy; Stephen James; Hao Sun; Rebecca S Lamb; Ramana V Davuluri; Erich Grotewold
Journal:  Plant Physiol       Date:  2006-03       Impact factor: 8.340

8.  Combinatorial signal integration by APETALA2/Ethylene Response Factor (ERF)-transcription factors and the involvement of AP2-2 in starvation response.

Authors:  Marc Oliver Vogel; Deborah Gomez-Perez; Nina Probst; Karl-Josef Dietz
Journal:  Int J Mol Sci       Date:  2012-05-16       Impact factor: 6.208

9.  Chronopharmacognosy.

Authors:  J Y Ajay; Pradeep Kumar Gajula; K Kalaimagal; B N Vedha Hari
Journal:  Pharmacogn Rev       Date:  2012-01

10.  A cross-species transcriptomics approach to identify genes involved in leaf development.

Authors:  Nathaniel Robert Street; Andreas Sjödin; Max Bylesjö; Petter Gustafsson; Johan Trygg; Stefan Jansson
Journal:  BMC Genomics       Date:  2008-12-05       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.