Transcriptome analysis of the litchi fruit borer (Conopomorpha sinensis)
Ontology highlight
ABSTRACT:
ORGANISM(S): Conopomorpha sinensis
PROVIDER: GSE67194 | GEO | 2018/03/03
REPOSITORIES: GEO
Similar Datasets
Project description:Background: Litchi has high commercial value for its bright color and rich nutrients. However, it deteriorates with the pericarp turning brown within 1-2 days after harvest. The factors that mediate litchi fruit senescence are complicated. MicroRNAs act as negative regulators involving in almost every physiological process. To understand the mechanism of litchi fruit senescence and pericarp browning from miRNA level, five small RNA libraries and a degradome library from the pericarp of litchi fruit stored at ambient and post cold shelf-life were sequenced. Results: By aligning the sRNA reads onto litchi unigene assembly, 296 miRNAs belonging to 49 known miRNA families were first identified from litchi. In addition, eleven litchi-specific miRNAs were identified. Among these, 167 known miRNAs were identified to cleave 197 targets, and three litchi-specific miRNAs were found to have five targets. Through combined analysis of stem-loop quantitative real-time polymerase chain reaction (qRT-PCR) and transcriptome profiling, 14 miRNA-target pairs were found to be actively involved in litchi fruit senescence-related processes, including energy regulation, anthocyanin metabolism, hormone signaling, and pathogen-infection defense. Conclusions: A network of miRNA-target that regulates litchi fruit senescence has been proposed, revealing the miRNA-mediated regulation in senescent litchi fruit. This will aid to develop new strategies to postpone the senescence of litchi fruit and other horticultural products.
2017-02-13 | GSE63658 | GEO
Project description:• To dissect how the genes are dynamically and differentially expressed during fruit development in sweet orange, a comprehensive transcriptomic study was performed in a pleiotropic mutant (MT) and its wild type (WT). • The detection of the fruit transcriptomic changes was conducted at five stages of fruit development by deep sequencing; the obtained millions of reliable tags were mapped on orange unigenes and subjected to cluster analysis and functional categorization. Sugar and organic acid contents were determined based on the prediction of differential biological processes. • The global clustering analysis revealed a total of 14 expression patterns for the genes involved in fruit development of sweet orange. More than 94% of the genes showed differential expression during fruit development. Comparative transcripts profiling between WT and MT revealed that between 410 and 634 genes were significantly differentially expressed at the five stages. Functional categorization indicated that TCA cycle, carotenoid biosynthesis, and pentose phosphate pathway (OPP) were among the most regulated pathways. • This study provided a dynamic-view of the transcriptome changes during fruit ripening in sweet orange; the results highlighted a set of molecular processes involved in the formation of the mutation trait in the orange fruits. Investigate the transcriptome changes during five fruit developmental stages of two sweet orange genotypes
2012-06-22 | E-GEOD-22505 | biostudies-arrayexpress
Project description:• To dissect how the genes are dynamically and differentially expressed during fruit development in sweet orange, a comprehensive transcriptomic study was performed in a pleiotropic mutant (MT) and its wild type (WT). • The detection of the fruit transcriptomic changes was conducted at five stages of fruit development by deep sequencing; the obtained millions of reliable tags were mapped on orange unigenes and subjected to cluster analysis and functional categorization. Sugar and organic acid contents were determined based on the prediction of differential biological processes. • The global clustering analysis revealed a total of 14 expression patterns for the genes involved in fruit development of sweet orange. More than 94% of the genes showed differential expression during fruit development. Comparative transcripts profiling between WT and MT revealed that between 410 and 634 genes were significantly differentially expressed at the five stages. Functional categorization indicated that TCA cycle, carotenoid biosynthesis, and pentose phosphate pathway (OPP) were among the most regulated pathways. • This study provided a dynamic-view of the transcriptome changes during fruit ripening in sweet orange; the results highlighted a set of molecular processes involved in the formation of the mutation trait in the orange fruits.
2012-06-22 | GSE22505 | GEO
Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of plants. The goals of this study are to compare omparatively evaluated both sequence variation and gene expression at the transcriptomic level between two species. Methods: Pooled total RNA of P. floridana flower buds and young fruits, in triplicate, using Illumina HiSeqTM 2000. The sequence reads remove reads with adaptors or unknown nucleotides larger than 5% and low-quality reads using . qRT–PCR validation was performed using TaqMan and SYBR Green assays Results: Sequencing the Physalis transcriptome revealed 147,118 unigenes. When aligned to the tomato genome, we estimated that around 30,121 genes were expressed in the Physalis floral-fruit transcriptome, and 10,498 orthologous gene pairs were identified between P. floridana and S. pimpinellifolium.with a fold change ≥1.5 and FER value <0.001, 0.68% of the unigenes in the Physalis floral-fruit transcriptome were developmentally regulated at the floral-fruit transition, and Altered expression of 15 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Conclusions: Our study represents the first detailed analysis of floral-fruit transcriptomes, with biologic replicates, generated by RNA-seq technology.The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a organ or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
2018-12-29 | GSE92998 | GEO
Project description:De novo assembly and characterization of Litchi fruit transcriptome
| PRJNA194589 | ENA
Project description:De novo assembly and characterization of Litchi fruit transcriptome
| PRJNA194467 | ENA
Project description:In this data set, we reported for the first time that huanglongbing disease (HLB) induces major changes in the expression of global genes in flavedo, vascular and juice vesicle tissues of citrus fruit. 68 Total samples were analyzed. cDNA generation, array analysis, and statistical tests were performed as a service at the Interdisciplinary Center for Biotechnology Research (ICBR) Microarray Core facility at the University of Florida (Gainesville, FL). The linear models were used for array analysis (Smyth GK et al. Bioinformatics, 2005, 2067-2075). The linear models were firstly used to assess differential expression, and then an empirical Bayes method was used to moderate the standard errors. 13 comparisons were performed for the study. The comparisons in Citrus sinensis cv. Hamlin included: SC vs. CC (genes that respond to infection in symptomatic vascular core); SJV vs. CJV (genes that respond to infection in symptomatic juice vesicle); SS vs. CS (genes that respond to infection in symptomatic seed); SP vs. CP (genes that respond to infection in symptomatic peel). The comparisons in Citrus sinensis cv. Valencia included: SP vs. HP (genes that respond to infection in symptomatic peel); ASP vs. HP (genes that respond to infection in asymptomatic peel); SP vs. ASP (genes that respond to infection in symptomatic peel compared to asymptomatic peel); SC vs. HC (genes that respond to infection in symptomatic vascular core); ASC vs. HC (genes that respond to infection in asymptomatic vascular core); SC vs. ASC (genes that respond to infection in symptomatic vascular core compared to asymptomatic vascular core); SJV vs. HJV (genes that respond to infection in symptomatic juice vesicle); ASJV vs. HJV (genes that respond to infection in asymptomatic juice vesicle); SJV vs. ASJV (genes that respond to infection in symptomatic juice vesicle compared to asymptomatic juice vesicle). ESTs with significant expression changes (P value <0.001; false discovery rate <0.01 with equal or higher than 2-fold changes in expression) were selected for further analysis.
2012-12-01 | E-GEOD-33373 | biostudies-arrayexpress
Project description:Transcriptome sequencing of ‘Feizixiao' litchi pulp at 35, 63 and 69 days after anthesis
2022-11-29 | GSE218876 | GEO
Project description:To investigate the potential mechanism of disease resistance in Litchi, a genome-wide transcriptomic analysis was carried out using 'Guiwei' and 'Yurong1' Litchi under inoculated with P.litchii treatments.
2022-08-01 | GSE201243 | GEO
Project description:Here, the HPG axis transcriptomes of A. sinensis were sequenced using Illumina HiSeq 2000 and 4000 platforms. A total of 271.19 Gb filtered data from 45 samples belonging to 15 individuals (six individuals in stage I, six males and three females in stage II) were obtained, and 74.50% of 121,952 assembled unigenes were annotated to the non-redundant (NR), Swiss-Prot, Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster of Orthologous Groups of proteins (COG), InterPro, Gene Ontology (GO) and NT databases. Additionally, 78,770 unigenes contained complete open reading frames (ORFs). A total of 51,570 simple sequence repeats (SSRs) were detected, and the number of differentially expressed genes (DEGs) from 1,531 to 34,439 in 18 pairwise comparisons were identified for HPG samples of male and female A. sinensis in two stages. We reported the first integrated transcriptome data from HPG samples of male and female A. sinensis in stage I and II of gonadal development. These data offer valuable resources for research into reproductive regulation and the HPG axis interaction in A. sinensis and other sturgeons.
2019-05-15 | GSE126616 | GEO