Project description:Bud dormancy is a crucial stage in perennial trees and allows survival over winter and optimal subsequent flowering and fruit production. Environmental conditions, and in particular temperature, have been shown to influence bud dormancy. Recent work highlighted some physiological and molecular events happening during bud dormancy in trees. However, we still lack a global understanding of transcriptional changes happening during bud dormancy. We conducted a fine tune temporal transcriptomic analysis of sweet cherry (Prunus avium L.) flower buds from bud organogenesis until the end of bud dormancy using next-generation sequencing. We observe that buds in organogenesis, paradormancy, endodormancy and ecodormancy are characterised by distinct transcriptional states, and associated with different pathways. We further identified that endodormancy can be separated in two phases based on its transcriptomic state: early and late endodormancy. We also found that transcriptional profiles of just 7 genes are enough to predict the main cherry tree flower buds dormancy stages. Our results indicate that transcriptional changes happening during dormancy are robust and conserved between different sweet cherry cultivars. Our work also sets the stage for the development of a fast and cost effective diagnostic tool to molecularly define the flower bud stage in cherry trees.
Project description:Using A. lyrata microarray platform the transcriptomic response of shoot tissues was characterized at two different time points- 8d and 11d after withdrawal of regular water application..
Project description:Flower-lotus with many attractive floral characteristics has been studied and discussed the most. These characteristics are used as the standards of the classification in most cases, and always attracted the attention of lotus breeders on improvement program because of associating with ornamental and economic values of lotus. However, molecular mechanisms underlying the formation of these attractive floral features still remain largely unknown. Transcriptome sequencing technique has been established as an efficient approach for gene discovery and expression pattern identification. For some plants, a lot of important genes involved in plant critical metabolisms have been successfully identified by this technique. In the study, mass sequence data obtained from the deep sequencing of a mixed flower-bud cDNA pool from three individuals of N. nucifera provide a platform to comprehensively understand the processes of flower formation and development at the molecular level, and will greatly facilitate the genetic improvement of ornamental characteristics and the directive molecular breeding for lotus in the future.
Project description:Flower-lotus with many attractive floral characteristics has been studied and discussed the most. These characteristics are used as the standards of the classification in most cases, and always attracted the attention of lotus breeders on improvement program because of associating with ornamental and economic values of lotus. However, molecular mechanisms underlying the formation of these attractive floral features still remain largely unknown. Transcriptome sequencing technique has been established as an efficient approach for gene discovery and expression pattern identification. For some plants, a lot of important genes involved in plant critical metabolisms have been successfully identified by this technique. In the study, mass sequence data obtained from the deep sequencing of a mixed flower-bud cDNA pool from three individuals of N. nucifera provide a platform to comprehensively understand the processes of flower formation and development at the molecular level, and will greatly facilitate the genetic improvement of ornamental characteristics and the directive molecular breeding for lotus in the future. A mixed cDNA pool from young flower-buds (35-40mm in length) of three accessions of N. nucifera were used for deep sequencing using 454 GS-FLX Titanium.
Project description:RNA sequencing in tomato for detect mRNA expression of Solanum lycopersicum flower.The two cultivars (monomaker, raceme) had three different flowering stages (budlet, Flower bud, Full bloom) for transcriptome sequencing