GNPS - LAESI-MS for natural products discovery
Ontology highlight
ABSTRACT:
INSTRUMENT(S): LTQ XL
ORGANISM(S): Amycolatopsis Keratiniphila (ncbitaxon:129921) Streptomyces Canus (ncbitaxon:58343)
SUBMITTER: 
Mohammad Seyedsayamdost
PROVIDER: MSV000082658 | GNPS | Tue Jul 24 12:03:00 BST 2018
REPOSITORIES: GNPS
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Project description:LAESI-MS data were collected for high-throughput microbial natural product discovery. Bacteria were cultivated with chemical elicitors and the crude extracts were analyzed by LAESI-MS in a high-throughput manner.
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Project description:High-throughput sequencing of small RNAs from rice was used to identify distinct miRNAs that are responsive to elicitors from the fungal pathogen Magnaporthe oryzae. [Expression profiling by array] We used microarrays to determine the expression behaviour of target genes for elicitor-regulated miRNAs. [High throughput sequencing] High-throughput sequencing of rice small RNAs was performed in two different tissues, leaves and roots, and two different time point of elicitor treatment, 30' and 2h Amplicons were prepared by 5M-BM-4and 3M-BM-4adaptor ligation in which the 5'-adaptor contained a 'barcode' consisting of a 4-nucleotide identifier sequence for each sample. The libraries containing unique barcodes were combined and subjected to pyrosequencing (454 Life SciencesTM, Roche) [Expression profiling by array] Leaves from rice plants were harvested at two time points after the onset of treatment (30' and 2h) with elicitors of Magnaporthe oryzae 18.1 and used for RNA extraction and hybridization on Affymetrix microarrays. Mock inoculations were performed with sterile water for control experiments. Three biological replicates were analyzed. Each sample represented a pool of approximately 150 rice plants. [High throughput sequencing] 8 samples examined: leaves and roots, treated or not with elicitors at two different time points, 30' and 2h (2x2x2)
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