Project description:Pineapple is a non climacteric fruit. This study investigates changes in gene expression between the mature green fruit and mature yellow fruit ripening stages
Project description:Peel color is a key factor that affects the fruit’s aesthetic and economic values. In Red Sugar pineapple, the peels’ red color reduces during maturation. Limited knowledge is available on the regulation of pineapple peel discoloration, which makes it important to study the molecular mechanisms associated with this important trait. Here, we report that a decrease in anthocyanin biosynthesis is predominantly associated with the pineapple peel color change during maturation. Particularly the exclusive accumulation of cyanidin in 60 days after flowering (DAF) as compared to 120 DAF gives the fruit peel its distinct reddish color. Our findings suggest that the changes in the expression of key structural genes (early and late biosynthetic genes) of the anthocyanin (cyanidin) biosynthesis pathway are responsible for peel discoloration. Based on a gene co-expression analysis and a transient expression, we identified two transcription factors i.e., AcHOX21 and AcMYB12, and showed that their downregulation leads to the reduced anthocyanin accumulation with fruit maturation.
Project description:The main objective of the present study was to identify citrus transcrition factors putatively involved in the juvenile to adult transition in citrus. A oligonucleotide microarray containing 1152 putative unigenes of citrus transcription factors was used. Pineapple sweet orange (C. sinensis (L.) was analyzed in two diferent developmental stages, junenile and adult. Four replicates for each sample category were generated and for each genotipe juvenile versus adult samples were compared . Comparative transcriptomic hybridization
Project description:Here, we used RNA sequencing and tandem mass tag (TMT)–based quantitative proteomics technology to study the comprehensive mRNA and protein expression changes during fruit development and ripening in watermelon. A total of 6,226 proteins were quantified, and the number of quantitative proteins is the largest in fruit proteome to date, comparable to studies in model organisms such as rice and Arabidopsis. Omics analysis showed that smaller changes occurred in protein abundance compared to mRNA abundance. Furthermore, protein and transcript abundance were poorly correlated, and the correlation coefficients decreased during fruit development and ripening. Our comprehensive transcriptomic and proteomic data offer a valuable resource for watermelon research, and provide new insights into the molecular mechanisms underlying complex regulatory networks of fruit ripening in watermelon.
Project description:We used Illumina sequencing to investigate the global transcriptomic expression of hormonal pathway genes in ABA initiated strawberry receptacle ripening. Expression profiles of hormone synthetic and signaling genes further demonstrated the positive roles of ABA and GA, and the negative role of auxin in receptacle ripening. We also evaluated the transcript profiling of ethylene and JA pathway genes, and the results suggested that both ethylene and JA participated in receptacle ripening. Furthermore, two novel miRNAs and three conserved miRNAs were identified and validated to target genes in ABA and auxin pathways, respectively. Our analyses reveal the molecular mechanism of hormonal regulation during strawberry receptacle ripening. The data also provide an abundant of genetic information for molecular manipulation on non-climacteric fruit ripening. Sample 1: CK0 (Strawberry fruit two weeks after athesis treated with water, set as day 0); Sample 2: CK5 (fruit treated with water on day 5); Sample 3: CK8 (fruit treated with water on day 8); Sample 4: ABA5 (fruit treated with ABA on day 5); Sample 5: ABA8 (fruit treated with ABA on day 5); Sample 6: NDGA5 (fruit treated with water on day 5); Sample 7: NDGA8 (fruit treated with NDGA on day 8).
Project description:Here we have undertaken a pilot study analysing the proteome of MD2 pineapple using Liquid Chromatography coupled with Mass Spectrometry (LC-MS/MS) and identified 3,818 peptides from 1,781 candidate proteins in the annotated V3 genome sequenced. In addition, a further 603 peptide identifications were found that mapped exclusively to an independent MD2 transcriptome-derived database and were not found in the standard V3 annotated proteome. Peptide identifications derived from the MD2 transcripts were also cross-referenced to a more recent and complete MD2 genome annotation, resulting in 402 non overlapping peptides with either of the genomes. Subsequently, cross-referencing these peptide identifications via their parent transcripts, 30 high-quality gene candidates novel to the V3 pineapple genomes were identified. These analyses add to the knowledge of experimentally validated pineapple genes and demonstrate the utility of transcript-derived proteomics to discover both novel genes and genetic structure in plant genome, and can help improve its annotation.