Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1048956 | ENA |
REPOSITORIES: ENA
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Project description:The use of biofertilizers is becoming an economical and environmentally friendly alternative to promote sustainable agriculture. Biochar from microalgae can be applied to enhance the productivity of food crops through soil improvement, slow nutrient absorption and release, increased water uptake, and long-term mitigation of greenhouse gas sequestration. Therefore, the aim of this study was to evaluate the stimulatory effects of biochar produced from Spirulina platensis biomass on the development and seed production of rice plants. Biochar was produced by slow pyrolysis at 300°C, and characterization was performed through microscopy, chemical, and structural composition analyses. Molecular and physiological analyses were performed in rice plants submitted to different biochar concentrations (0.02, 0.1, and 0.5 mg mL-1) to assess growth and productivity parameters. Morphological and physicochemical characterization revealed a heterogeneous morphology and the presence of K and Mg minerals in the biochar composition. Chemical modification of compounds post-pyrolysis and a highly porous structure with micropores were observed. Rice plants submitted to 0.5 mg mL-1 of biochar presented a decrease in root length, followed by an increase in root dry weight. The same concentration influenced seed production, with an increase of 44% in the number of seeds per plant, 17% in the percentage of full seeds per plant, 12% in the weight of 1,000 full seeds, 53% in the seed weight per plant, and 12% in grain area. Differential proteomic analyses in shoots and roots of rice plants submitted to 0.5 mg mL-1 of biochar for 20 days revealed a fine-tuning of resource allocation towards seed production. These results suggest that biochar derived from Spirulina platensis biomass can stimulate rice seed production.
2024-09-16 | PXD051225 | Pride
Project description:In our earlier study, thiourea has been shown to improve the growth of rice and reduce the arsenic load from aerial parts of the seedlings. We have also shown the applicability of thiourea to delineate the redox regulatory mechansisms under arsenic stress in rice. To move further, present microarray was performed to reveal the involvement of overall gene and regulatory netwrok under arsenic with/without thiourea treatment in rice.
2015-09-15 | GSE71492 | GEO
Project description:In our earlier study, thiourea has been shown to improve the growth of rice and reduce the arsenic load from aerial parts of the seedlings. We have also shown the applicability of thiourea to delineate the redox regulatory mechansisms under arsenic stress in rice. To move further, present microarray was performed to reveal the involvement of overall gene and regulatory netwrok under arsenic with/without thiourea treatment in rice. Agilent custom one-color experiment,Organism:Oryza sativa, Whole Genome Rice 8x60k (AMADID: 064722) designed by Genotypic Technology Private Limited.
2015-09-15 | E-GEOD-71492 | biostudies-arrayexpress
Project description:Arsenic stress triggers active exudation of arsenic-phytochelatin complexes from Lupinus albus roots
2023-10-10 | MSV000093078 | MassIVE
Project description:In the present study, we employed the RNA sequencing platform to examine the molecular response of zebrafish liver to arsenic exposure and carry out detailed transcriptomic analyses for further understanding of molecular toxicity. We found that several important biological processes were perturbed by arsenic exposure, including oxidation reduction, translation, iron ion transport, cell redox and homeostasis, as well as related pathways in metabolism and diseases. Furthermore, as there are currently no biomarker genes available for predicting arsenic exposure, we took the advantage of RNA sequencing platform to identify most suitable biomarker genes from top responsive genes to arsenic exposure. We first validated these top responsive genes by RT-qPCR in zebrafish and then in Japanese medaka (Oryzias latipes) at individual fish level for more robustly responsive genes across different fish species. Transcriptome profiling of arsenic-treated sample and control sample were generated by deep sequencing using 3' RNA-SAGE on the SOLiD system.
2013-09-04 | E-GEOD-48427 | biostudies-arrayexpress
Project description:To identified the differential expressed genes between the arsenic exposure cells and wild type cells As is a well- known carcinogen, it receives special attention. Due to its ubiquitous distribution in the environment, a unicellular model system related to the environment will be useful in toxicological research of arsenic. The eukaryotic protist Tetrahymena thermophila is a well-established model in classical toxicology and now a potential model at genomic level. In the present study, Tetrahymena thermophila was inbred with arsenate. With the use of microarray technique, the genes differentially expressed at 4 time points in exposure to arsenate were screened out. The major biological processes involved and their changes over time were identified with enrichment analysis and transformed expression data. Characteristics of arsenic toxicity and response to arsenic were identified, proving T. thermophila a good unicellular model for arsenic toxicological research at genomic level.
2019-12-01 | GSE53836 | GEO
Project description:In the present study, we employed the RNA sequencing platform to examine the molecular response of zebrafish liver to arsenic exposure and carry out detailed transcriptomic analyses for further understanding of molecular toxicity. We found that several important biological processes were perturbed by arsenic exposure, including oxidation reduction, translation, iron ion transport, cell redox and homeostasis, as well as related pathways in metabolism and diseases. Furthermore, as there are currently no biomarker genes available for predicting arsenic exposure, we took the advantage of RNA sequencing platform to identify most suitable biomarker genes from top responsive genes to arsenic exposure. We first validated these top responsive genes by RT-qPCR in zebrafish and then in Japanese medaka (Oryzias latipes) at individual fish level for more robustly responsive genes across different fish species.
2013-09-04 | GSE48427 | GEO