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SuperSAGE combined with PCR walking allows global gene expression profiling of banana (Musa acuminata), a non-model organism
- Source :
- Theoretical and Applied Genetics. 111:1118-1126
- Publication Year :
- 2005
- Publisher :
- Springer Science and Business Media LLC, 2005.
-
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.
- Subjects :
- Oxidoreductases Acting on CH-CH Group Donors
DNA, Complementary
Molecular Sequence Data
Polymerase Chain Reaction
Homology (biology)
Rapid amplification of cDNA ends
Musa acuminata
Complementary DNA
Gene expression
Genetics
Gene
DNA Primers
Gene Library
Expressed Sequence Tags
Base Sequence
biology
Gene Expression Profiling
Computational Biology
Musa
Sequence Analysis, DNA
General Medicine
Genome project
biology.organism_classification
Gene expression profiling
Nucleic Acid Amplification Techniques
Agronomy and Crop Science
Biotechnology
Subjects
Details
- ISSN :
- 14322242 and 00405752
- Volume :
- 111
- Database :
- OpenAIRE
- Journal :
- Theoretical and Applied Genetics
- Accession number :
- edsair.doi.dedup.....2f41b58a3dcc735cd071fd16c62cc408
- Full Text :
- https://doi.org/10.1007/s00122-005-0039-7