Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Avian farm 16S metagenomes

PROVIDER: PRJNA600473 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	SRR10870500_1.fastq.gz	Fastqsanger.gz
	SRR10870500_2.fastq.gz	Fastqsanger.gz
	SRR10870501_1.fastq.gz	Fastqsanger.gz
	SRR10870501_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 61

Similar Datasets

terrestrial metagenome

Project description:Farm metagenomes conventional and organic

| PRJNA379303 | ENA

Eight shrimp farm soil sediment metagenomes

Project description:Eight shrimp farm soil sediment metagenomes

| PRJNA809862 | ENA

Diel cycles of gene expression in oligotrophic, dystrophic, and eutrophic lakes to identify new gene functions and dissect carbon cycling metabolisms

Project description:Aquatic microbial communities contain a vast amount of genetic diversity and we have much to learn about how this manifests to functional diversity. Existing long-term time series data includes 16S tags, metagenomes, single amplified genomes (SAGs), and genomes from metagenomes (GFMs). Information about functional diversity and metabolic capabilities is often unavailable. The study sites include three lakes that are the subject of intense study through the North Temperate Lakes Long Term Ecological Research site: Sparkling Lake (oligotrophic), Lake Mendota (eutrophic), and Trout Bog Lake (dystrophic). The work (proposal:https://doi.org/10.46936/10.25585/60000947) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

2023-11-02 | MSV000093272 | MassIVE

Indole-3-acetic acid degradation in a novel strain Pseudomonas composti LY1

Project description:Indole-3-acetic acid (IAA), knows as common plant hormone, is one of the most distributed indole derivatives in the environment. A novel strain, which was able to use IAA as sole source of carbon and nitrogen, was isolated from farm soil, identified and classified as Pseudomonas composti LY1 based on 16S rRNA sequence and genome analysis. The optimal growth conditions for LY1 with IAA are characterized. Proteome profile of strain LY1 to IAA and citrate were analyzed and compared using label free strategy with LC-MS/MS.

2021-09-08 | PXD014968 | Pride

Farm Animal Exposure, Respiratory Illnesses, and Nasal Cell Gene Expression

Project description:Background: Farm exposures in early life reduce the risks for childhood allergic diseases and asthma. There is less information about how farm exposures relate to respiratory illnesses and mucosal immune development. Objective: We hypothesized that children raised in farm environments have a lower incidence of viral illnesses over the first two years of life than non-farm children. We also analyzed between farm exposures or respiratory illnesses were related to patterns of nasal cell gene expression. Methods: The Wisconsin Infant Study Cohort (WISC) birth cohort enrolled farm and non-farm pregnant women from central Wisconsin. Parents reported prenatal farm and other environmental exposures. Illness frequency and severity were assessed using illness diaries and periodic surveys. Nasopharyngeal cell gene expression at age two years was compared to farm exposure and respiratory illness history. Results: There was a higher rate of respiratory illnesses in the non-farm vs. farm group (rate ratio 0.82 [0.69,0.97], p=0.020), but no significant differences in wheezing illnesses. There was a stepwise reduction in rates of respiratory illnesses in children exposed at least weekly to 0, 1, or ≥2 animals (p=0.006). In analyzing nasal cell gene expression, farm exposures and preceding respiratory illnesses were positively related to gene signatures for mononuclear cells and innate and antimicrobial responses. Conclusions: Children exposed to farms and farm animals had lower rates of respiratory illnesses over the first two years of life. Both farm exposures and preceding respiratory illnesses were associated with increased innate immune responses, suggesting that these exposures stimulate mucosal immune responses to reduce subsequent illness frequency.

2024-01-29 | GSE233761 | GEO

Five shrimp farm soil sediment metagenomes

Project description:Five shrimp farm soil sediment metagenomes Raw sequence reads

| PRJNA809861 | ENA

Project description:Farm dust metagenomes in European poultry and pig farms

| PRJNA623064 | ENA

Pierce College Farm Soil 16S Survey

Project description:Pierce College Farm Soil 16S Survey

| PRJNA554453 | ENA

Description and determinants of the faecal resistome and microbiome of farmers and slaughterhouse workers: a metagenome-wide cross-sectional study.

Project description:Study generating and describing the faecal metagenomes of 194 persons occupationally exposed to antimicrobial resistance in livestock (including 46 control subjects). Highlights: - DNA of faecal samples of 194 persons occupationally exposed to antimicrobial resistance (AMR) in livestock, i.e. persons living or working on pig and poultry farms and pig slaughterhouse workers and control subjects, was sequenced and metagenomically analysed. - The faecal resistomes and microbiomes of farmers and slaughterhouse workers were described and compared between occupationally exposed groups and controls. - We found an increased ARG carriage in persons working in the Dutch pork production chain as compared to poultry farmers and controls. - Significant differences were found in the resistome and bacteriome composition of pig and pork exposed workers compared to a control group, as well as within-population (farms, slaughterhouse) compositional differences. - On-farm working hours and working or living on a pig farm (versus poultry farm) are determinants for the human faecal resistome. - Direct or indirect contact with AMR in livestock may be a determinant for human ARG carriage.

| EGAS00001003944 | EGA

Project description:Pig farm wastewater Raw sequence reads (16S rRNA)

| PRJNA644106 | ENA