Project description:Purpose: this study provided a comprehensive sequence for a systemic view of the transcriptome between mango leaf and fruit, as well as fruit allergens, which will be useful for further genomic research studies and breeding of lower allergenic mango cultivars. Methods:Some allergens have previously been identified in mango (Mangifera indica Linn), including profilins, Bet v 1-like proteins and chitinase. In this paper, 66 potential allergen genes were identified and their relative expressions evaluated in mango fruit and leaf using Illumina RNA-Seq technology. Results:A total of 17.63Gb Clean Data was obtained.The number of %≥Q30 was above 94.58%.RNA-Seq generated 11,751,123 contigs that were assembled into 99,328 unigenes with 16,848 unigenes of >1000 bp. A total of 230,242 unigenes were annotated using public protein databases, with a cut-off E-value above 10−5, of which 27,295, 46,030, 24,227 and 14,023 unigenes were assigned to gene ontology terms, Nr, Swiss-Prot and clusters of orthologous groups, respectively. Allergens mainly belonged to pollen allergen, pathogenesis-related protein Bet v I family and NADPH-dependent FMN reductase.
Project description:Small RNAs are the non-coding RNAs known to regulate various biological functions such as stress adaptation, metabolism, virulence as well as pathogenicity across wide range of bacteria, mainly by controlling mRNA stabilization or regulating translation. Identification and functional characterization of sRNAs that has been carried out in various plant growth promoting bacteria have shown to help the bacterial cell cope up with environmental stress. Till now no study has been carried out to uncover these regulatory molecules in diazotrophic alpha-proteobacterium Azospirillum brasilense Sp245. RNA-Seq is a suitable approach for expression-based sRNA identification in bacteria.
Project description:Melon (Cucumis melo L.) is a commercially important fruit crop that is cultivated worldwide. The melon research community has recently benefited from the determination of a complete draft genome sequence and the development of associated genomic tools, which have allowed us to focus on small RNAs (sRNAs). These are short, non-coding RNAs 21â24 nucleotides in length with diverse physiological roles. In plants, they regulate gene expression and heterochromatin assembly, and control protection against virus infection. Much remains to be learned about the role of sRNAs in melon. We constructed 10 sRNA libraries from two stages of developing ovaries, fruits and photosynthetic cotyledons infected with viruses, and carried out high-throughput pyrosequencing. We catalogued and analyzed the melon sRNAs, resulting in the identification of 26 known miRNA families (many conserved with other species), the prediction of 84 melon-specific miRNA candidates, the identification of trans-acting siRNAs, and the identification of chloroplast, mitochondrion and transposon-derived sRNAs. In silico analysis revealed more than 400 potential targets for the conserved and novel miRNAs. This analysis provides insight into the composition and function of the melon small RNAome, and paves the way towards an understanding of sRNA-mediated processes that regulate melon fruit development and melonâvirus interactions.
Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.