Earthworm field
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1169108 | ENA |
REPOSITORIES: ENA
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Project description:Earthworms enhance plant growth but the precise mechanism by which this occurs is not known. An understanding of the mechanism could potentially support changes in agricultural management reducing fertiliser usage and therefore costs and the carbon footprint of agriculture. We conducted a factorial experiment in which 5 strains of wheat were grown in the presence and absence of earthworms under regular watering and droughted conditions. The different wheat strains all responded in a similar fashion. Plant biomass was greater in the presence of earthworms and under regular watering. The presence of earthworms reduced the impact of drought on plant biomass and also slowed down the rate of drying of the droughted soils. Plant nutrient content (N, P, Si) showed no consistent pattern with treatments but total N, P and Si mirrored plant biomass and decreased in the order earthworm-present watered > earthworm-present droughted > earthworm-absent watered > earthworm-absent droughted. Nutrient availability in the soil, as assessed by chemical extractions showed no consistent pattern with treatments. Differential gene expression of plants was greater between watering treatments than between earthworm treatments. Genes that were differentially expressed between the earthworm treatments predominantly related to plant defences, abiotic stress and control of plant growth though a couple were linked to both nitrogen cycling and stress responses. The soil microbiome of the earthworm-present treatments was more associated with nutrient-rich environments, the promotion of plant growth and the suppression of plant pathogens. Our data suggest that enhanced plant growth was due to changes in the microbiome due to earthworm processing of the soil rather than changes in nutrient availability due to the presence of earthworms.
2025-03-03 | GSE214932 | GEO
Project description:earthworm tissue, Lumbricus rubellus, 3D model building
2022-03-01 | PXD004399 | Pride
Project description:Time-course transcriptional profiling of rice leaf in the field in 2009. This experiment was performed to validate the results of field transcriptomic modeling. Using 461 field transcriptome data obtained in 2008 (GSE36040; GSE36042; GSE36043; GSE36044; GSE18685) and the corresponding meteorologicla dara, we perfomred statistical modeling of transcriptome.
2012-12-07 | GSE36777 | GEO
Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for zebrafish (Danio rerio), fruit fly (Drosophila melanogaster) and earthworm (Eisenia andrei) are still lacking. Here, we construct the zebrafish, Drosophila and earthworm cell atlas with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of zebrafish, Drosophila and earthworm, and studying difference between vertebrates and Invertebrates at single cell level.
2022-07-08 | GSE181511 | GEO
Project description:To understand molecular mechanisms of the chronic, sublethal toxicity of 2,4,6-trinitrotoluene (TNT), a widely used ordnance compound of public concerns, we constructed a microarray consisting of 4,032 cDNA isolated from the earthworm Eisenia fetida using the suppressive subtractive hybridization technique. Worms were exposed to a gradient of TNT-spiked soil for 28 days. Based on the reproduction response to TNT, four treatments, i.e., control, 7, 35 and 139 ppm, were selected for gene expression studies. Keywords: Sublethal toxicity of TNT (dose-response) to earthworm (Eisenia fetida)
2007-10-15 | GSE7024 | GEO
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Tsukuba. Time-course transcriptional profiling of rice leaf in Tsukuba field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
2017-03-31 | GSE65612 | GEO
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Sapporo. Time-course transcriptional profiling of rice leaf in Sapporo field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
2017-03-31 | GSE65609 | GEO
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuyama. Time-course transcriptional profiling of rice leaf in Fukuyama field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
2017-03-31 | GSE65608 | GEO