Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S sequence of soil bacteria in wheat-maize rotation field after fluoxastrobin application

PROVIDER: PRJNA892239 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22038600_1.fastq.gz	Fastqsanger.gz
	SRR22038600_2.fastq.gz	Fastqsanger.gz
	SRR22038601_1.fastq.gz	Fastqsanger.gz
	SRR22038601_2.fastq.gz	Fastqsanger.gz
	SRR22038602_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Project description:16S sequence of soil bacteria in wheat-maize rotation field after chlorpyrifos application

| PRJNA890460 | ENA

Project description:Rice-celery rotation field soil 16S rRNA gene sequence

| PRJNA1046389 | ENA

Project description:Diversity analysis of rhizosphere microbial in wheat/maize rotation field

| PRJNA740101 | ENA

Molecular changes in the maize roots transcriptome due to soil microbes

Project description:The association between soil microbes and plant roots is present in all natural and agricultural environments. Microbes can be beneficial, pathogenic, or neutral to the host plant development and adaptation to abiotic or biotic stresses. Progress in investigating the functions and changes in microbial communities in diverse environments have been rapidly developing in recent years, but the changes in root function is still largely understudied. The aim of this study was to determine how soil bacteria influence maize root transcription and microRNAs (miRNAs) populations in a controlled inoculation of known microbes over a defined time course. At each time point after inoculation of the maize inbred line B73 with ten bacterial isolates, DNA and RNA were isolated from roots. The V4 region of the 16S rRNA gene was amplified from the DNA and sequenced with the Illumina MiSeq platform. Amplicon sequencing of the 16S rRNA gene indicated that most of the microbes successfully colonized maize roots. The colonization was dynamic over time and varied with the specific bacterial isolate. Small RNA sequencing and mRNA-Seq was done to capture changes in the root transcriptome from 0.5 to 480 hours after inoculation. The transcriptome and small RNA analyses revealed epigenetic and transcriptional changes in roots due to the microbial inoculation. This research provides the foundational data needed to understand how plant roots interact with bacterial partners and will be used to develop predictive models for root response to bacteria.

2023-05-01 | GSE214656 | GEO

Project description:Studies of soil microbial diversity reduced by phosphate fertilizer application in wheat and maize rotation system

| PRJNA597955 | ENA

uncultured bacterium

Project description:Bacteria with nirS gene in wheat field soil Raw sequence reads

| PRJNA381009 | ENA

Characterization of the Wheat-Psathyrostachys huashania 2Ns/2D Substitution Line H139: A Novel Germplasm with Enhanced Resistance to Wheat Take-all

Project description:Take-all is a devastating soil-borne disease that affects wheat production. The continuous generation of disease-resistance germplasm is an important aspect of the management of this pathogen. In this study, we characterized the wheat-Psathyrostachys huashania Keng-derived progeny H139 that exhibits significantly improved resistance to wheat take-all disease compared with its susceptible parent 7182. GISH) and mc-FISH analyses revealed that H139 is a stable wheat-P. huashania disomic substitution line lacking wheat chromosome 2D.EST-STS marker and Wheat Axiom 660K Genotyping Array analysis further revealed that H139 was a novel wheat-P. huashania 2Ns/2D substitution line, and that the P. huashania 2Ns chromosome shares high sequence similarity to wheat chromosome 2D. These results indicate that H139, with its enhanced wheat take-all disease resistance and desirable agronomic traits, provides valuable genetic resources for wheat chromosome engineering breeding.

2020-01-07 | GSE143188 | GEO

Project description:soil microbiota during pea-wheat rotation

| PRJNA800669 | ENA

Gut microbiota analysis associated with hepatocellular carcinoma

Project description:Here we report 16s rRNA data in gut microbiota of hepatocellular carcinoma (HCC) patients with HBV induced HCC (HBVC) and non-HBV induced HCC (NHBVC) compared with healthy volunteers. A total of 2047 operational taxonomic units (OTUs) were identified in the sequence data. Our data shows that the NHBVC patients harbor lower anti-inflammatory bacteria and more pro-inflammatory bacteria, while the HBVC patients harbor more anti-inflammatory bacteria.

2019-02-27 | GSE108847 | GEO

Project description:16s RNA bacteria sequencing in paddy field soil Raw sequence reads

| PRJNA785760 | ENA