Project description:Basil downy mildew (BDM) caused by Peronospora Belbahrii leads to losses in sweet basil cultivation across the world. Though resistant cultivars of basil exist, the formation of sterile offspring and the introduction of unwanted phenotypic and chemotypic traits slows breeding. Previous work by the Simon lab at Rutgers University identified pair of sweet basil cultivars; one resistant to BDM, MRI, and one susceptible, SB22. They predicted that three genes in MRI confer increased BDM resistance. RNA from infected MRI and SB22 plants was harvested during the first 3 days of infection at 4 timepoints in order to capture as many early phases of plant-pathogen interaction as possible. The goal is to develop resistance markers for use in breeding experiments.
Project description:Two complementary protein extraction methodologies coupled with an automated proteomic platform were employed to analyze tissue-specific proteomes and characterize biological and metabolic processes in sweet potato. A total of 74,255 peptides corresponding to 4,321 nonredundant proteins were successfully identified. Data were compared to predicted protein accessions for Ipomea species and mapped on the sweet potato transcriptome and haplotype-resolved genome. A proteogenomics analysis successfully mapped 12,902 peptides against the transcriptome or genome, representing 90.4% of the total 14,275 uniquely identified peptides, predicted 741 new protein-coding genes, and specified 2726 loci where annotations can be further improved. Overall, 39,916 peptides mapped to 3,143 unique proteins in leaves, and 34,339 peptides mapped to 2,928 unique proteins in roots; 32% and 27% unique identified proteins were leaves- and roots-specific, respectively.
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:Applying a metatranscriptomic analysis pipeline (Guo et al. 2016 Frontiers in Plant Science), we are the first to analyze the host-pathogen metatranscriptome of the basil downy mildew system. RNA-sequencing technology was utilized to gain access to the full array of expressed transcripts from both O. basilicum and P. belbahrii. This RNA-seq workflow has allowed us to identity nearly 3,000 candidate P. belbahrii genes expressed in planta, as well as 1,267 and 2,798 candidate O. basilicum genes induced or suppressed respectively under P. belbahrii infection (five days post inoculation). Up-regulated candidate genes are highly enriched for biological processes such as biotic and abiotic stress responses whereas down-regulated genes are enriched for metabolism and photosynthesis, suggesting that basil plants actively respond to pathogen infection with transcriptome reprogramming.
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.
Project description:Transcriptomic response of sweet basil leaves (Ocimum basilicum) following downy mildew (Peronospora belbahrii) inoculation at two timepoints