Rhizosphere microbiota at subtropical lakeshore areas
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA490781 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7828880.fastq.gz | Fastqsanger.gz | |||
| SRR7828890.fastq.gz | Fastqsanger.gz | |||
| SRR7828900.fastq.gz | Fastqsanger.gz | |||
| SRR7828910.fastq.gz | Fastqsanger.gz | |||
| SRR7828920.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 58 |
Similar Datasets
Project description:Phyllosphere microbiota in residential areas Raw sequence reads
| PRJNA875589 | ENA
Project description:Rhizosphere microbiota Raw sequence reads
| PRJNA856779 | ENA
Project description:Gene expression patterns of the plant colonizing bacterium,Pseudomonas putida KT2440 were evaluated as a function of growth in the Arabidopsis thaliana rhizosphere. Gene expression in rhizosphere grown P. putida cells was compared to gene expression in non-rhizosphere grown cells. Keywords: Gene expression
2008-01-11 | GSE9005 | GEO
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method.
2014-09-12 | GSE61338 | GEO
Project description:Genome-wide transcriptome analysis was performed to understand the expression pattern of transcriptomes in tolerant and susceptible subtropical maize genotypes under water deficit stress condition.<br><br>
2014-10-11 | E-MEXP-3992 | biostudies-arrayexpress
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:Purpose: The goal of this study is to evaluate transcriptional regulation of the accumulation of phenols and anthocyanins in young leaves of subtropical forest tree species by using NGS-derived RNA-seq. Methods: Leaf mRNA profiles of subtropical tree Schima superba and Cryptocarya concinna grown under contasting light were generated by deep sequencing, in triplicate, using Illumina. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. FPKM produced by RSEM are provided. Results: Assemblies of the sequence data yielded 61,618 and 64,413 unigenes for Schima superba and Cryptocarya concinna,respectively. Overall,75.14% and 66.46% of the unigenes were annotated in the protein database Nonredundant protein (Nr), Nonredundant nucleotide (Nt), Swiss-Prot、Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster of Orthologous Groups of proteins (COG) and Gene Ontology (GO) for S. superba and C concinna,respectively.A total of 3896, 3488 and 266 genes were differentially expressed in full light-exposed young leaf (FLY), low light-exposed young leaf (LYL) and low light-exposed mature leaf (LML) relative to low light-exposed mature leaf (FML) of S. superba, respectively, and 2097, 2047 and 211 genes were differentially expressed in the corresponding leaves of C. concinna. Conclusions: Our study represents the first detailed analysis of transcriptomes in young and mature leaves of dorminant trees from a subtropical forest in China, with biologic replicates, generated by RNA-seq technology. Photosynthesis-related genes and phenol pathways-related genes were extensively down- and up-regulated in young versus mature leaves of the two species.
2018-10-01 | GSE104004 | GEO
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 | PXD033802 | Pride
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 | PXD033803 | Pride
Project description:We present metaproteome data from wheat rhizosphere from saline and non-saline soil. For collection and acquisition of metaproteome from wheat rhizosphere under saline and normal conditions, a survey was conducted in regions of Haryana, India. Samples from 65 days old plants (wheat var HD2967) were collected and pooled and based on EC,saline (NBAIM B; EC 6mS cm-1; pH 9.0; Bhaupur 2, Haryana, INDIA; 29°19'8"N;76°48'53"E) and normal soil samples (NBAIM C; EC 200 uS cm-1; pH 7.2; Near Nainform, Haryana, INDIA; 29°19'8"N;76°48'53"E) were selected for isolation of proteome with the standardized protocol at our laboratory followed by metaproteome analysis with the standardized pipepline. In total 1538 and 891 proteins were obtained from wheat rhizosphere from saline and non-saline respectively with the given parameters and software. Among 1410 proteins unique for saline soil, proteins responsible for glycine, serine and threonine metabolism and arginine and proline biosynthesis were found in saline and absent in non-saline. The present study extends knowledge about the physiology and adaptations of the wheat rhizosphere associated microbiota under saline soil.
2024-01-08 | PXD015387 | Pride