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.
ABSTRACT. Single nucleotide polymorphisms (SNPs) occur at high frequencies in both plant and animal genomes and can provide broad genome coverage and reliable estimates of genetic relationships. The availability of expressed sequence tag (EST) data has made it feasible to discover SNPs. DNA analysis is crucial in genetic studies not only for strawberry breeding programs but also for characterization of hybrids and species. We cloned 96 EST sequences, and 116 SNPs were discovered by comparing 16 strawberry cultivars grown in the region of Nanjing, China. Sequence alignment of 6 group sequences derived from 16 sample cultivars yielded 116 SNPs, within a total genomic sequence length of 1755 bp. The SNPs were discovered with a mean frequency of one SNP per 15 bp. These SNPs were comprised of 57% transitions, 32.7% transversions, 8.6% InDels, and 1.7% others, based on which a phylogenetic tree was constructed. Among the 116 SNPs, 75% were located within the open reading frame (ORF), while 25% were located outside the ORF. All 16 cultivars scattered well in the dendrogram derived from the SNP data, demonstrating that SNPs can be a powerful tool for cultivar identification and genetic diversity analysis in strawberries.
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.
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