Project description:The goal of the microarray experiment was to identify genes that were differentially expressed in NAD-treated and water-treated sweet orange leaf tissues. Results indicated that, compared with the water treatment, the NAD tretament triggered profound transcriptome changes in the citrus leaves, with about 1,200 genes being up-regulated or down-regulated by twofold or more.
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:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs in leaves and flowers of sweet orange. Consequently we identified genome-wide 183 known miRNAs and 38 novel miRNAs. Small RNA sequencing of the leaves and flowers in sweet orange
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
Project description:To verify the pathogenicity of Lecanicillium psalliotae invasive pathogens on tsearch leaves, Lecanicillium psalliotae was identified by isolation and purification. sweet orange leaves were infested with it. The results of the experiments showed that 15 days after Lecanicillium psalliotae infested the leaves of sweet orange, yellow spots grew around the pores and irregular yellow spots appeared on both sides of the leaf veins. This was highly similar to the disease in the field, suggesting that Lecanicillium psalliotae is the causal agent of the yellow spots on sweet orange leaves that cause the leaves to wilt and fall off. In previous studies, Verticillium cutaneum was mainly identified as a biological control agent and a suspected pathogen. In this study, the pathogenicity of Verticillium cutaneum was verified for the first time as a causal agent of leaf spot disease of plants.
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.
Project description:Citrus Huanglongbing (HLB, or greening) is one of the most severe diseases of citrus. Plant disease symptom development is considered to be the consequence of a number of molecular, cellular and physiological changes, and may also be associated with host defense responses. Understanding citrus host response to HLB may contribute to the development of new strategies to control this destructive disease. We performed microarray analysis to identify the differentially expressed genes in sweet orange in response to HLB infection using the Affymetrix GeneChipM-BM-. citrus genome array. Two-year-old seedlings of M-bM-^@M-^XMadam VinousM-bM-^@M-^Y sweet orange (Citrus sinensis L. Osbeck) were inoculated by grafting with bud sticks from HLB-diseased, PCR positive sweet orange plants. For mock-inoculated controls, the same types of plants were grafted with bud sticks from HLB-free, PCR negative sweet orange. At 7 months after inoculation, mature leaves were sampled from 3 individual HLB-diseased plants, and healthy leaves from 3 mock-inoculated plants as control. Total RNA was extracted from leaf samples and hybridized on Affymetrix microarrays.