Wheat earthworm-plant-microbiota interactions
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA887763 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21830114_1.fastq.gz | Fastqsanger.gz | |||
| SRR21830114_2.fastq.gz | Fastqsanger.gz | |||
| SRR21830115_1.fastq.gz | Fastqsanger.gz | |||
| SRR21830115_2.fastq.gz | Fastqsanger.gz | |||
| SRR21830116_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 40 |
Similar Datasets
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:Microbiota from rats fed with wheat aleurone and plant omega fatty acids In this study we investigated how an AX-rich WA and ALA from linseed oil (LO) modulate the gut microbiota of rats. Wistar rats were fed a standard diet and received either an iso-energetic control oil (PO), control oil + aleurone (A+PO), linseed oil (LO) or linseed oil + aleurone (A+LO) during 12 weeks. Feacal samples were recovered after the 12 week treatments. DNA extractions were performed using using the Qiagen's DNA Stool Kit (Qiagen, West Sussex, UK). 10ng of DNA template were amplified by PCR (16S gene) and purified using Qiagen's Qiaquick PCR purification kit (Qiagen, West Sussex, UK). 1ug of purified PCR product were labelled with either Cy3 or Cy5 using Genomic DNA ULS Labelling kit (Agilent Technologies, Palo Alto, CA). 250ng of labelled DNA were hybridized on the microarray for 24h at 65M-BM-0C. Washings were performed as recommended by the manufacturer. Microarray scanning was performed on a Surescan Microarray scanner (Agilent Technologies, Palo Alto, CA). Data were extracted using the Feature extraction software (Agilent Technologies, Palo Alto, CA). The retained intensity value for each probe was the ratio between the spotM-bM-^@M-^Ys median intensity signals and the median of background signals. A 13 chip study was realized to analyze the feacal microbiota of rats treated with either an iso-energetic control oil (PO), control oil + aleurone (A+PO), linseed oil (LO) or linseed oil + aleurone (A+LO) during 12 weeks. Each microarray corresponding to hybridization with 250ng of labelled 16S rRNA gene amplicons from 2 rat DNA faecal samples. Microbiota structure and diversity were assessed using the HuGChip (Tottey et al., 2013). Each probe (4441) was synthetized in three replicates. On the same array, 2 different samples were hybridized. One labelled with the Cy3 dye and one with the Cy5 dye. The results were processed as single channel (13 raw data files available on Series records for 25 samples).
2013-05-02 | E-GEOD-46557 | biostudies-arrayexpress
Project description:Microbiota from rats fed with wheat aleurone and plant omega fatty acids In this study we investigated how an AX-rich WA and ALA from linseed oil (LO) modulate the gut microbiota of rats. Wistar rats were fed a standard diet and received either an iso-energetic control oil (PO), control oil + aleurone (A+PO), linseed oil (LO) or linseed oil + aleurone (A+LO) during 12 weeks. Feacal samples were recovered after the 12 week treatments. DNA extractions were performed using using the Qiagen's DNA Stool Kit (Qiagen, West Sussex, UK). 10ng of DNA template were amplified by PCR (16S gene) and purified using Qiagen's Qiaquick PCR purification kit (Qiagen, West Sussex, UK). 1ug of purified PCR product were labelled with either Cy3 or Cy5 using Genomic DNA ULS Labelling kit (Agilent Technologies, Palo Alto, CA). 250ng of labelled DNA were hybridized on the microarray for 24h at 65°C. Washings were performed as recommended by the manufacturer. Microarray scanning was performed on a Surescan Microarray scanner (Agilent Technologies, Palo Alto, CA). Data were extracted using the Feature extraction software (Agilent Technologies, Palo Alto, CA). The retained intensity value for each probe was the ratio between the spot’s median intensity signals and the median of background signals.
2013-05-02 | GSE46557 | GEO
Project description:Plant-microbiome interactions Transcriptome
| PRJNA1276240 | ENA
Project description:Plant-microbiome interactions Metagenome
| PRJNA1276253 | ENA
Project description:earthworm tissue, Lumbricus rubellus, 3D model building
2022-03-01 | PXD004399 | Pride
Project description:Interactions between plants and each neighboring microbial species are fundamental building blocks that collectively determine the structure and function of the plant microbiota, but the molecular basis of such interactions is poorly characterized. Here, we monocolonized Arabidopsis leaves with nine plant-associated bacteria from all major phyla of the plant microbiota and profiled co-transcriptomes of plants and bacteria. These strains elicited quantitatively different plant transcriptional responses including typical pattern-triggered immunity responses. Genes of non-pathogenic bacteria involved in general metabolism and energy production were commonly suppressed in planta in contrast to a virulent pathogen. Various nutrient acquisition pathways that are frequently encoded in the genomes of plant-associated bacteria were induced in planta in a strain-specific manner, shedding light on bacterial adaptation to the plant environment and identifying a potential driving force of niche separation. Integrative analyses of plant and bacterial transcriptomes suggested that the transcriptional reprogramming of plants is largely uncoupled from that of bacteria at an early stage of interactions. This study provides insights into how plants discriminate among bacterial strains and sets the foundation for in-depth mechanistic dissection of plant-microbiota interactions.
2021-04-26 | GSE150422 | GEO
Project description:This project is designed for whole transcriptome sequencing of bacteria isolated from Rhizosphere of Wheat Plant, which has its impact on overall plant growth.
2024-02-28 | E-MTAB-11516 | biostudies-arrayexpress
Project description:Polyploidization and introgression are major events driving plant genome evolution and influencing crop breeding. However, the mechanisms underlying the higher-order chromatin organization of subgenomes and alien chromosomes are largely unknown. We probe the three-dimensional chromatin architecture of Aikang 58 (AK58), a widely-cultivated allohexaploid wheat variety carrying the 1RS/1BL translocation chromosome. The regions involved in inter-chromosomal interactions, both within and between subgenomes, have highly similar sequences. Subgenome-specific territories tend to be connected by subgenome-dominant homologous transposable elements (TEs). The alien 1RS chromosomal arm, which was introgressed from rye and differs from its wheat counterpart, has relatively few inter-chromosome interactions with wheat chromosomes. An analysis of local chromatin structures reveals topologically associating domain (TAD)-like regions covering 52% of the AK58 genome, the boundaries of which are enriched with active genes, zinc-finger factor-binding motifs, CHH methylation, and 24-nt small RNAs. The chromatin loops are mostly localized around TAD boundaries, and the number of gene loops is positively associated with gene activity. The present study reveals the impact of the genetic sequence context on the higher-order chromatin structure and subgenome stability in hexaploid wheat. Specifically, we characterized the sequence homology-mediated inter-chromosome interactions and the non-canonical role of subgenome-biased TEs. Our findings may have profound implications for future investigations of the interplay between genetic sequences and higher-order structures and their consequences on polyploid genome evolution and introgression-based breeding of crop plants.
2020-11-30 | GSE139020 | 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