Literature DB >> 23457664

Extending MapMan Ontology to Tobacco for Visualization of Gene Expression.

Maurice Ht Ling1, Roel C Rabara, Prateek Tripathi, Paul J Rushton, Steven X Ge.   

Abstract

Microarrays are a large-scale expression profiling method which has been used to study the transcriptome of plants under various environmental conditions. However, manual inspection of microarray data is difficult at the genome level because of the large number of genes (normally at least 30,000) and the many different processes that occur within any given plant. MapMan software, which was initially developed to visualize microarray data for Arabidopsis, has been adapted to other plant species by mapping other species onto MapMan ontology. This paper provides a detailed procedure and the relevant computing codes to generate a MapMan ontology mapping file for tobacco (Nicotiana tabacum L.) using potato and Arabidopsis as intermediates. The mapping file can be used directly with our custom made NimbleGen oligoarray, that contains gene sequences from both the tobacco gene space sequence and the tobacco gene index 4 (NTGI4) collection of ESTs. The generated data set will be informative for scientists working on tobacco as their model plant by providing a MapMan ontology mapping file to tobacco, homology between tobacco coding sequences and that of potato and Arabidopsis, as well as adapting our procedure and codes for other plant species where the complete genome is not yet available.

Entities:  

Year:  2013        PMID: 23457664      PMCID: PMC3583537          DOI: 10.7167/2013/706465

Source DB:  PubMed          Journal:  Dataset Pap Biol


  18 in total

1.  Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high-salinity stresses using a full-length cDNA microarray.

Authors:  Motoaki Seki; Mari Narusaka; Junko Ishida; Tokihiko Nanjo; Miki Fujita; Youko Oono; Asako Kamiya; Maiko Nakajima; Akiko Enju; Tetsuya Sakurai; Masakazu Satou; Kenji Akiyama; Teruaki Taji; Kazuko Yamaguchi-Shinozaki; Piero Carninci; Jun Kawai; Yoshihide Hayashizaki; Kazuo Shinozaki
Journal:  Plant J       Date:  2002-08       Impact factor: 6.417

Review 2.  Profiling a plant: expression analysis in Arabidopsis.

Authors:  Wolfgang Busch; Jan U Lohmann
Journal:  Curr Opin Plant Biol       Date:  2007-02-08       Impact factor: 7.834

3.  Conversion of MapMan to allow the analysis of transcript data from Solanaceous species: effects of genetic and environmental alterations in energy metabolism in the leaf.

Authors:  Ewa Urbanczyk-Wochniak; Björn Usadel; Oliver Thimm; Adriano Nunes-Nesi; Fernando Carrari; Marcus Davy; Oliver Bläsing; Magdalena Kowalczyk; Daniel Weicht; Anna Polinceusz; Svenja Meyer; Mark Stitt; Alisdair R Fernie
Journal:  Plant Mol Biol       Date:  2006-03       Impact factor: 4.076

4.  Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods.

Authors:  Noor Remmerie; Thomas De Vijlder; Dirk Valkenborg; Kris Laukens; Koen Smets; Jilles Vreeken; Inge Mertens; Sebastien C Carpentier; Bart Panis; Geert De Jaeger; Ronny Blust; Els Prinsen; Erwin Witters
Journal:  J Proteomics       Date:  2011-04-02       Impact factor: 4.044

5.  A guide to using MapMan to visualize and compare Omics data in plants: a case study in the crop species, Maize.

Authors:  Björn Usadel; Fabien Poree; Axel Nagel; Marc Lohse; Angelika Czedik-Eysenberg; Mark Stitt
Journal:  Plant Cell Environ       Date:  2009-03-24       Impact factor: 7.228

6.  MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes.

Authors:  Oliver Thimm; Oliver Bläsing; Yves Gibon; Axel Nagel; Svenja Meyer; Peter Krüger; Joachim Selbig; Lukas A Müller; Seung Y Rhee; Mark Stitt
Journal:  Plant J       Date:  2004-03       Impact factor: 6.417

7.  Functional analysis of an Arabidopsis transcription factor WRKY25 in heat stress.

Authors:  Shujia Li; Qiantang Fu; Weidong Huang; Diqiu Yu
Journal:  Plant Cell Rep       Date:  2009-01-06       Impact factor: 4.570

8.  Transcriptional profiling of Medicago truncatula under salt stress identified a novel CBF transcription factor MtCBF4 that plays an important role in abiotic stress responses.

Authors:  Daofeng Li; Yunqin Zhang; Xiaona Hu; Xiaoye Shen; Lei Ma; Zhen Su; Tao Wang; Jiangli Dong
Journal:  BMC Plant Biol       Date:  2011-07-01       Impact factor: 4.215

9.  Comprehensive analysis of tobacco pollen transcriptome unveils common pathways in polar cell expansion and underlying heterochronic shift during spermatogenesis.

Authors:  Said Hafidh; Katarína Breznenová; Petr Růžička; Jana Feciková; Věra Capková; David Honys
Journal:  BMC Plant Biol       Date:  2012-02-16       Impact factor: 4.215

10.  Adaptation of the MapMan ontology to biotic stress responses: application in solanaceous species.

Authors:  Ana Rotter; Björn Usadel; Spela Baebler; Mark Stitt; Kristina Gruden
Journal:  Plant Methods       Date:  2007-09-04       Impact factor: 4.993

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  2 in total

1.  Transcriptome profiling of tobacco under water deficit conditions.

Authors:  Roel C Rabara; Prateek Tripathi; Mani Kant Choudhary; Michael P Timko; Qingxi J Shen; Paul J Rushton
Journal:  Genom Data       Date:  2015-06-02

2.  Tobacco drought stress responses reveal new targets for Solanaceae crop improvement.

Authors:  Roel C Rabara; Prateek Tripathi; R Neil Reese; Deena L Rushton; Danny Alexander; Michael P Timko; Qingxi J Shen; Paul J Rushton
Journal:  BMC Genomics       Date:  2015-06-30       Impact factor: 3.969

  2 in total

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