Rhizosphere metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA273179 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1776863_1.fastq.gz | Fastqsanger.gz | |||
| SRR1776863_2.fastq.gz | Fastqsanger.gz | |||
| SRR1783792_1.fastq.gz | Fastqsanger.gz | |||
| SRR1783792_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
2020-03-06 | GSE146427 | GEO
Project description:Metagenome data from soil samples were collected at 0 to 10cm deep from 2 avocado orchards in Channybearup, Western Australia, in 2024. Amplicon sequence variant (ASV) tables were constructed based on the DADA2 pipeline with default parameters.
2025-06-15 | GSE298403 | GEO
Project description:To identify genes associated with citrus peel development and manifestation of peel disorders, we analyzed flavedo, albedo and juice sac tissues from five types of citrus fruit including, mandarin orange, navel orange, valencia orange, grapefruit and lemon.
2014-01-01 | GSE50384 | GEO
Project description:To identify genes associated with citrus peel development and manifestation of peel disorders, we analyzed flavedo, albedo and juice sac tissues from navel orange displaying, and not displaying, the puff disorder. Symptomatic and healthy M-bM-^@M-^\NavelM-bM-^@M-^] orange fruits were harvested from an orchard located in in Pauma Valley, San Diego County, California, USA. Sampling for all analysis (healthy or disordered Navel orange) was performed at the same time, from trees grown under the same agronomic, soil, and environmental conditions. Healthy and disordered fruits were analyzed at the mature stage. All transcriptome analysis was performed on mature fruit. For each type of fruit, three tissues (flavedo, albedo, and juice sacs) from three different trees (biological replicates) were separately analyzed. Four symptomatic fruits comprised one biological replicate each. Two healthy fruits comprised two biological replicates of control samples. A 1 cm-thick equatorial disc and four sections (N, S, E, and W) were cut per fruit. Each section of flavedo, albedo, and juice sac tissue was dissected. gene expression variation underlying quality trait, different genotypes
2014-01-01 | E-GEOD-49957 | biostudies-arrayexpress
Project description:To identify genes associated with citrus peel development and manifestation of peel disorders, we analyzed flavedo, albedo and juice sac tissues from five types of citrus fruit including, mandarin orange, navel orange, valencia orange, grapefruit and lemon. Fruits of five different citrus cultivars. Mature, healthy fruits of five different citrus cultivars (M-bM-^@M-^\ValenciaM-bM-^@M-^] and M-bM-^@M-^\NavelM-bM-^@M-^] orange [Citrus sinensis], mandarin [Citrus reticulata], lemon [Citrus M-CM-^W limon], grapefruit [Citrus M-CM-^W paradisi]) were purchased from a food market located in Davis, CA, USA. For all five types of fruit, three tissues (flavedo, albedo, and juice sacs) were compared separately. Each of the three tissues from each of the five types of fruit were sampled in three biological replicates, for a total of 45 samples. Samples were prepared from a 1 cm-thick equatorial disc and four sections (N, S, E, and W) were cut. Each section of flavedo, albedo, and juice sac tissue was dissected. gene expression variation underlying quality trait, different genotypes
2014-01-01 | E-GEOD-50384 | biostudies-arrayexpress
Project description:Metagenome of mango orchard soil Metagenome
| PRJNA592608 | ENA
Project description:This data set contains 1376 mass spectrometry reads from root, rhizosphere and leaf sample of Populus Trichocarpa, as well as associated controls. This metabolomics data set was collected as part of a larger campaign which complements the metabolomics data with metagenome sequencing, transcriptomics, and soil measurement data.
2022-12-12 | MSV000090886 | MassIVE
Project description:Advances in DNA sequencing technologies has drastically changed our perception of the structure and complexity of the plant microbiome. By comparison, our ability to accurately identify the metabolically active fraction of soil microbiota and its specific functional role in augmenting plant health is relatively limited. Here, we combined our recently developed protein extraction method and an iterative bioinformatics pipeline to enable the capture and identification of extracellular proteins (metaexoproteomics) synthesised in the rhizosphere of Brassica spp. We first validated our method in the laboratory by successfully identifying proteins related to a host plant (Brassica rapa) and its bacterial inoculant, Pseudomonas putida BIRD-1. This identified numerous rhizosphere specific proteins linked to the acquisition of plant-derived nutrients in P. putida. Next, we analysed natural field-soil microbial communities associated with Brassica napus L. (oilseed rape). By combining metagenomics with metaexoproteomics, 1882 proteins were identified across bulk and rhizosphere samples. Meta-exoproteomics identified a clear shift (p<0.001) in the metabolically active fraction of the soil microbiota responding to the presence of B. napus roots that was not apparent in the composition of the total microbial community (metagenome). This metabolic shift was associated with the stimulation of rhizosphere-specialised bacteria, such as Gammaproteobacteria, Betaproteobacteria and Flavobacteriia and the upregulation of plant beneficial functions related to phosphorus and nitrogen mineralisation. Together, our metaproteomic assessment of the ‘active’ plant microbiome at the field-scale demonstrates the importance of moving past a genomic assessment of the plant microbiome in order to determine ecologically important plant-microbe interactions underpinning plant health.
2022-07-01 | PXD033692 | Pride
Project description:HLB is suggested to be caused by the phloem-limited fastidious prokaryotic α-proteobacterium “Candidatus Liberibacter spp.” Previous studies focused on the proteome and transcriptome analyses of citrus 5 to 35-week-after “Ca. L. spp.” inoculation. In this study, gene expression profiles was analyzed using mandarin of Citrus reticulate Blanco cv. jiaogan leaves after 2-year infection with “Ca. L. asiaticus”. The Affymetrix GeneChip® citrus genome were applied to study the molecular pathways mediated by “Ca. L. asiaticus” inoculated 3-year-old jiaogan seedlings. Each of them was graft-inoculated with one sweet orange scions with or without “Ca. L. asiaticus” in Dectember, 2009. RNA samples from three mandarin trees infected with 'Candidatus Liberibacter asiaticus' and three uninfected trees were used for affymatrix genochip
2015-04-10 | E-GEOD-67376 | biostudies-arrayexpress