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Understanding bamboo flowering based on large-scale analysis of expressed sequence tags
- Source :
- Genetics and Molecular Research. 9:1085-1093
- Publication Year :
- 2010
- Publisher :
- Genetics and Molecular Research, 2010.
-
Abstract
- Unlike other plants, bamboo (Bambusoideae) flowering is an elusive physiological phenomena, because it is unpredictable, long-periodic, gregarious, and uncontrollable; also, bamboo plants usually die after flowering. The flowering mechanism in Arabidopsis thaliana, a eudicot model species, is well established, but it remains unknown in bamboo species. We found 4470 and 3878 expressed sequence tags in the flower bud and vegetative shoot cDNA libraries, respectively, of the bamboo species, Bambusa oldhamii. Different genes were found expressed in bamboo flower buds compared to vegetative shoots, based on the Munich Information Center for Protein Sequences functional categorization; flowering-related genes were also identified in this species. We also identified Arabidopsis flowering-specific homologs that are involved in its photoperiod in this bamboo species, along with autonomous, vernalization and gibberellin-dependent pathways, indicating that bamboos may have a similar mechanism to control floral transition. Some bamboo expressed sequence tags shared high similarity with those of rice, but others did not match any known sequences. Our data lead us to conclude that bamboo may have its own unique flowering genes. This information can help us understand bamboo flowering and provides useful experimental methods to study the mechanisms involved.
- Subjects :
- Bamboo
DNA, Complementary
Arabidopsis
Bambusa
Flowers
Bambusa oldhamii
Genes, Plant
Botany
Genetics
Arabidopsis thaliana
Molecular Biology
Crosses, Genetic
Gene Library
Expressed Sequence Tags
Expressed sequence tag
Models, Genetic
biology
Reverse Transcriptase Polymerase Chain Reaction
Bud
fungi
food and beverages
Oryza
General Medicine
Vernalization
biology.organism_classification
Shoot
Plant Shoots
Subjects
Details
- ISSN :
- 16765680
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Genetics and Molecular Research
- Accession number :
- edsair.doi.dedup.....0395624b1fa9473b202a35f46136241c