Microarray analysis of differentially expressed genes engaged in fruit development between table and wine grape.

Microarray analysis of genes can provide individual gene-expression profiles and new insights for elucidating biological mechanisms responsible for fruit development. To obtain an overall view on expression profiles of metabolism-related genes involved in fruit development of table and wine grapes, a microarray system comprising 15,403 ESTs was used to compare the expressed genes. The expression patterns from the microarray analysis were validated with quantitative real-time polymerase chain reaction analysis of 18 selected genes of interest. During the entire fruit development stage, 2,493 genes exhibited at least 2.0-fold differences in expression levels with 1,244 genes being up-regulated and 1,249 being down-regulated. Following gene ontology analysis, only 929 differentially expressed (including 403 up-regulated and 526 down-regulated) genes were annotated in table and wine grapes. These differentially expressed genes were found to be mainly involved in carbohydrate metabolism, biosynthesis of secondary metabolites as well as energy, lipid and amino acid metabolism via KEGG. Our results provide new insights into the molecular mechanisms and expression profiles of genes in the fruit development stage of table and wine grapes.

Deep sequencing discovery of novel and conserved microRNAs in strawberry (Fragaria×ananassa).

In plants, microRNAs (miRNAs) play a critical role in post-transcriptional gene regulation and have been shown to control many genes involved in various biological and metabolic processes. There have been extensive studies to discover miRNAs and analyze their functions in model plant species, such as Arabidopsis and rice. Deep sequencing technologies have facilitated identification of species-specific or lowly expressed as well as conserved or highly expressed miRNAs in plants. In this research, we used Solexa sequencing to discover new miRNAs in cultivated strawberry (Fragaria×ananassa). A total of 23,282 ,309 reads representing 22,500 ,402 distinct sequences were obtained from a short RNA library generated from small RNAs extracted from strawberry fruit tissues. On the basis of sequence similarity and hairpin structure prediction, we found that 156,639 reads representing 153 sequences have good matches to known miRNAs. We also identified 37 novel miRNA candidates. These sequences had not been previously described in other plant species. Potential target genes were predicted for the majority of and novel miRNAs. These results show that regulatory miRNAs exist in the agriculturally important cultivated strawberry and may play an important role in its growth, development and response to disease.

Computational identification of MicroRNAs in strawberry expressed sequence tags and validation of their precise sequences by miR-RACE.

MicroRNAs (miRNAs) are small, endogenously expressed, nonprotein-coding RNAs that regulate gene expression at the post-transcriptional level in both animals and plants through repressing translation or inducing mRNA degradation. A comprehensive strategy to identify new miRNA homologs by mining the repository of available strawberry expressed sequence tags (ESTs) was developed. By adopting a range of filtering criteria, we identified 11 potential miRNAs belonging to 5 miRNA families from 47 890 Fragaria vesca EST sequences. Using 2 specific 5' and 3' miRNA RACE PCR reactions and a sequence-directed cloning method, we accurately determined both end sequences of 5 candidate miRNAs. Meanwhile, qRT-PCR was used to detect the expression of these 5 miRNAs in different strawberry organs and tissues at several growing stages. These newly identified F. vesca miRNAs (fve-miRNAs) and their expression information can improve our understanding of possible roles of fve-miRNAs in regulating the growth and development of F. vesca.