Raw QTOF data of S4S-00069B10-IMA-extract-goondicones
Ontology highlight
ABSTRACT: Goondicones and cratermycins: Cultivation profiling enabled search for new anthelmintics from an Australian pasture soil-derived Actinomadura sp. S4S-00069B10
Project description:Goondicones and cratermycins: Cultivation profiling enabled search for new anthelmintics from an Australian pasture soil-derived Actinomadura sp. S4S-00069B10
Project description:Chinese cordyceps is of particular interest for its confined distribution, mysterious lifecycle, ecological importance and developmental biology. The large scale artificial cultivation of this fungus has been succeeded in China until recently but with low efficiency and high cost being ascribed to too much unsolved biological issues, such as gene expression during development and the sexuality reproduction. The success of artificial cultivation provides the convenient for sampling during the different development stages.
Project description:Soil cultivation of spring wheat cultivar Remus. <br>
Hydroponic sampling of exudates to search for the BNI MBOA (and related compounds)<br>
Quantify MBOA<br>
Search for other known BNIS<br>
Characterize exudate<br>
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LC-HRMS according to 10.1007/s00216-025-05818-y<br>
Project description:Soil cultivation of 11 winter/summer/mixed wheat cultivars. <br>
Collection of irrigation water (leachates). <br>
Hydroponic sampling of exudates to search for the BNI MBOA (and related compounds)<br>
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Aims: <br>
- Quantify MBOA<br>
- Search for other known BNIS<br>
- Characterize exudate<br>
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LC-HRMS according to 10.1007/s00216-025-05818-y<br>
Project description:Transcription profiling by array of Bacillus amyloliquefaciens strain FZB42 after soil extract treatment, at OD600=1.0 and OD600=3.0 respectively.
Project description:Data acquired by LC-MS in full scan mode (MS1) in a five point dilution series of methanolic extracts (methanol:water) for actinomycetes BRA006 (Micromonospora sp.), BRA010 (Streptomyces sp.) and BRA177 (Actinomadura sp.).
Project description:Data obtained by LC-MS/MS of methanolic extracts (methanol:water) for the actinomycetes BRA006 (Micromonospora sp.), BRA010 (Streptomyces sp.) and BRA177 (Actinomadura sp.), where the precursor ions were guided by a scheduled precursor list (SPL).
Project description:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things (IoT)-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system represents a reliable platform for phenotyping plants under drought stress.
Project description:The response of the model cyanobacterium Synechocystis sp. PCC6803 towards light and carbon limitation was systematically probed. To this end, Synechocystis sp. PCC6803 was cultivated in a photo-bioreactor driven in turbidostat-mode. The turbidostat is a continuous cultivation that enabled cells to adapt to a constant environment, leading to a stable and 'optimal' proteome for the respective condition. The major dataset in this project consisted of 5 different 'concentrations' for light and CO2. Changes in the proteome were determined using using liquid chromatography/mass spectrometry and it was found that carbon and light limitation induced gradual but broad responses in gene expression. With decreasing substrate concentration (increasing limitation) a decrease in growth rate and a gradually more severe response in the proteome was visible.