Literature DB >> 16133315

SuperSAGE combined with PCR walking allows global gene expression profiling of banana (Musa acuminata), a non-model organism.

Bert Coemans1, Hideo Matsumura, Ryohei Terauchi, Serge Remy, Rony Swennen, László Sági.   

Abstract

Super-serial analysis of gene expression (SuperSAGE) was used to characterize, for the first time, the global gene expression pattern in banana (Musa acuminata). A total of 10,196 tags were generated from leaf tissue, representing 5,292 expressed genes. Forty-nine tags of the top 100 most abundantly expressed transcripts were annotated by homology to cDNA or EST sequences. Typically for leaf tissue, analysis of the transcript profiles showed that the majority of the abundant transcripts are involved in energy production, mainly photosynthesis. However, the most abundant tag was derived from a type 3 metallothionein transcript, which accounted for nearly 3% of total transcripts analysed. Furthermore, the 26-bp long SuperSAGE tags were applied in 3'-rapid amplification of cDNA ends (3'RACE) for the identification of unknown tags. In combination with thermal asymmetric interlaced PCR (TAIL-PCR), this allowed the recovery of a full gene sequence of a novel NADPH:protochlorophyllide oxidoreductase, the key enzyme in chlorophyll biosynthesis. SuperSAGE in conjunction with 3'RACE and TAIL-PCR will be a powerful tool for transcriptomics of non-model, but otherwise important organisms.

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Year:  2005        PMID: 16133315     DOI: 10.1007/s00122-005-0039-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  27 in total

1.  A modified serial analysis of gene expression that generates longer sequence tags by nonpalindromic cohesive linker ligation.

Authors:  A Ryo; N Kondoh; T Wakatsuki; A Hada; N Yamamoto; M Yamamoto
Journal:  Anal Biochem       Date:  2000-01-01       Impact factor: 3.365

2.  The Arabidopsis root transcriptome by serial analysis of gene expression. Gene identification using the genome sequence.

Authors:  Cécile Fizames; Stéphane Muños; Céline Cazettes; Philippe Nacry; Jossia Boucherez; Frédéric Gaymard; David Piquemal; Valérie Delorme; Thérèse Commes; Patrick Doumas; Richard Cooke; Jacques Marti; Hervé Sentenac; Alain Gojon
Journal:  Plant Physiol       Date:  2004-01       Impact factor: 8.340

3.  Maximizing the efficacy of SAGE analysis identifies novel transcripts in Arabidopsis.

Authors:  Stephen J Robinson; Dustin J Cram; Christopher T Lewis; Isobel A P Parkin
Journal:  Plant Physiol       Date:  2004-10       Impact factor: 8.340

4.  Molecular cloning, nuclear gene structure, and developmental expression of NADPH: protochlorophyllide oxidoreductase in pea (Pisum sativum L.).

Authors:  A J Spano; Z He; H Michel; D F Hunt; M P Timko
Journal:  Plant Mol Biol       Date:  1992-03       Impact factor: 4.076

5.  Efficient isolation and mapping of Arabidopsis thaliana T-DNA insert junctions by thermal asymmetric interlaced PCR.

Authors:  Y G Liu; N Mitsukawa; T Oosumi; R F Whittier
Journal:  Plant J       Date:  1995-09       Impact factor: 6.417

6.  Using the transcriptome to annotate the genome.

Authors:  Saurabh Saha; Andrew B Sparks; Carlo Rago; Viatcheslav Akmaev; Clarence J Wang; Bert Vogelstein; Kenneth W Kinzler; Victor E Velculescu
Journal:  Nat Biotechnol       Date:  2002-05       Impact factor: 54.908

7.  Heterogeneity in polyadenylation cleavage sites in mammalian mRNA sequences: implications for SAGE analysis.

Authors:  E Pauws; A H van Kampen; S A van de Graaf; J J de Vijlder; C Ris-Stalpers
Journal:  Nucleic Acids Res       Date:  2001-04-15       Impact factor: 16.971

8.  SAGE profiling and demonstration of differential gene expression along the axial developmental gradient of lignifying xylem in loblolly pine (Pinus taeda).

Authors:  W Walter Lorenz; Jeffrey F D Dean
Journal:  Tree Physiol       Date:  2002-04       Impact factor: 4.196

9.  The charge-transfer complex between protochlorophyllide and NADPH: an intermediate in protochlorophyllide photoreduction.

Authors:  Victor I Raskin; Amnon Schwartz
Journal:  Photosynth Res       Date:  2002       Impact factor: 3.573

10.  Global transcript analysis of rice leaf and seed using SAGE technology.

Authors:  J George Gibbings; Brian P Cook; Michael R Dufault; Stephen L Madden; Sawsan Khuri; Chris J Turnbull; Jim M Dunwell
Journal:  Plant Biotechnol J       Date:  2003-07       Impact factor: 9.803

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  12 in total

1.  Serial analysis of gene expression in sugarcane (Saccharum spp.) leaves revealed alternative C4 metabolism and putative antisense transcripts.

Authors:  Tercilio Calsa; Antonio Figueira
Journal:  Plant Mol Biol       Date:  2007-01-09       Impact factor: 4.076

2.  Selection and validation of reference genes for quantitative RT-PCR expression studies of the non-model crop Musa.

Authors:  Nancy Podevin; An Krauss; Isabelle Henry; Rony Swennen; Serge Remy
Journal:  Mol Breed       Date:  2012-06-08       Impact factor: 2.589

3.  The salt-responsive transcriptome of chickpea roots and nodules via deepSuperSAGE.

Authors:  Carlos Molina; Mainassara Zaman-Allah; Faheema Khan; Nadia Fatnassi; Ralf Horres; Björn Rotter; Diana Steinhauer; Laurie Amenc; Jean-Jacques Drevon; Peter Winter; Günter Kahl
Journal:  BMC Plant Biol       Date:  2011-02-14       Impact factor: 4.215

4.  Gill transcriptome response to changes in environmental calcium in the green spotted puffer fish.

Authors:  Patrícia Is Pinto; Hideo Matsumura; Michael As Thorne; Deborah M Power; Ryohei Terauchi; Richard Reinhardt; Adelino Vm Canário
Journal:  BMC Genomics       Date:  2010-08-17       Impact factor: 3.969

5.  New insights in the sugarcane transcriptome responding to drought stress as revealed by superSAGE.

Authors:  Éderson Akio Kido; José Ribamar Costa Ferreira Neto; Roberta Lane de Oliveira Silva; Valesca Pandolfi; Ana Carolina Ribeiro Guimarães; Daniela Truffi Veiga; Sabrina Moutinho Chabregas; Sérgio Crovella; Ana Maria Benko-Iseppon
Journal:  ScientificWorldJournal       Date:  2012-05-02

6.  In silico identification of known osmotic stress responsive genes from Arabidopsis in soybean and Medicago.

Authors:  Nina M Soares-Cavalcanti; Luis C Belarmino; Ederson A Kido; Ana C Wanderley-Nogueira; João P Bezerra-Neto; Rafaela Cavalcanti-Lira; Valesca Pandolfi; Alexandre L Nepomuceno; Ricardo V Abdelnoor; Leandro C Nascimento; Ana M Benko-Iseppon
Journal:  Genet Mol Biol       Date:  2012-06       Impact factor: 1.771

7.  Heterologous oligonucleotide microarrays for transcriptomics in a non-model species; a proof-of-concept study of drought stress in Musa.

Authors:  Mark W Davey; Neil S Graham; Bartel Vanholme; Rony Swennen; Sean T May; Johan Keulemans
Journal:  BMC Genomics       Date:  2009-09-16       Impact factor: 3.969

Review 8.  Domestication, genomics and the future for banana.

Authors:  J S Heslop-Harrison; Trude Schwarzacher
Journal:  Ann Bot       Date:  2007-08-31       Impact factor: 4.357

9.  SuperSAGE: the drought stress-responsive transcriptome of chickpea roots.

Authors:  Carlos Molina; Björn Rotter; Ralf Horres; Sripada M Udupa; Bert Besser; Luis Bellarmino; Michael Baum; Hideo Matsumura; Ryohei Terauchi; Günter Kahl; Peter Winter
Journal:  BMC Genomics       Date:  2008-11-24       Impact factor: 3.969

10.  Analysis of wheat SAGE tags reveals evidence for widespread antisense transcription.

Authors:  Rebecca L Poole; Gary L A Barker; Kay Werner; Gaia F Biggi; Jane Coghill; J George Gibbings; Simon Berry; Jim M Dunwell; Keith J Edwards
Journal:  BMC Genomics       Date:  2008-10-10       Impact factor: 3.969

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