Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

16S Metagenomic Analysis Organic Waste Bio-composts

ABSTRACT: 16S rRNA metagenomic profiling of organic waste bio-composts

PROVIDER: PRJEB62440 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	ERR11454932_1.fastq.gz	Fastqsanger.gz
	ERR11454932_2.fastq.gz	Fastqsanger.gz
	ERR11454933_1.fastq.gz	Fastqsanger.gz
	ERR11454933_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 19

Similar Datasets

ITS metagenomic analysis of bio-composts

Project description:ITS metagenomic analysis of the leaf waste bio-composts and other organic waste bio-composts

| PRJEB64472 | ENA

16S Metagenomic Analysis Soils amended with bio-composts

Project description:16S rRNA metagenomic profiling of soils amended with different types of bio-compost

| PRJEB62447 | ENA

ITS metagenomic profiling of the soils amended with composts

Project description:The ITS metagenomic profiling of different types of soils amended with different organic waste composts.

| PRJEB67873 | ENA

Probing the bio-geochemistry of alkaline waste impacted soil systems

Project description:Bio-geochemistry of alkaline waste

| PRJEB51999 | ENA

Compost and digestate from bio-waste methanisation

Project description:Metagenomes of compost and digestate from bio-waste methanisation

| PRJNA685384 | ENA

Metatranscriptomes of compost and digestate from bio-waste methanisation

Project description:Metatranscriptomes of compost and digestate from bio-waste methanisation

| PRJNA685385 | ENA

Organic acids production from starch waste by rumen microorganisms

Project description:Organic acids production from starch waste by rumen microorganisms

| PRJEB6322 | ENA

16S rRNA metagenomic profiling of red amaranth grown organically with different composts and soils.

Project description:In recent years organic food is gaining popularity as it is believed to promote better human health and improve soil sustainability, but there are apprehensions about pathogens in organic produces. This study was designed to understand the effect of different composts and soils on the status of the microbiome present in organically grown leafy vegetables. 16S rRNA metagenomic profiling of the leaves was done, and data were analyzed. It was found that by adding composts, the OTU of the microbiome in the organic produce was higher than in the conventional produce. The beneficial genera identified across the samples included plant growth promoters (Achromobacter, Paenibacillus, Pseudomonas, Sphingobacterium) and probiotics (Lactobacillus), which were higher in the organic produce. Some pathogenic genera, viz., plant pathogenic bacteria (Cellvibrio, Georgenia) and human pathogenic bacteria (Corynebacterium, Acinetobacter, Streptococcus, Streptomyces) were also found but with relatively low counts in the organic produce. Thus, the present study highlights that organic produce has lesser pathogen contamination than the conventional produce. KEY POINTS: • 16S rRNA metagenomics profiling done for organic red amaranth cultivar • Microbial richness varied with respect to the soil and compost type used • The ratio of beneficial to pathogenic genera improves with the addition of compost.

| S-EPMC10789846 | biostudies-literature

The microbial functional gene diversity in anaerobic digesters under different organic loadings

Project description:Anaerobic digestion is a popular and effective microbial process for waste treatment. The performance of anaerobic digestion processes is contingent on the balance of the microbial food web in utilizing various substrates. Recently, co-digestion, i.e., supplementing the primary substrate with an organic-rich co-substrate has been exploited to improve waste treatment efficiency. Yet the potential effects of elevated organic loading on microbial functional gene community remains elusive. In this study, functional gene array (GeoChip 5.0) was used to assess the response of microbial community to the addition of poultry waste in anaerobic digesters treating dairy manure. Consistent with 16S rRNA gene sequences data, GeoChip data showed that microbial community compositions were significantly shifted in favor of copiotrophic populations by co-digestion, as taxa with higher rRNA gene copy number such as Bacilli were enriched. The acetoclastic methanogen Methanosarcina was also enriched, while Methanosaeta was unaltered but more abundant than Methanosarcina throughout the study period. The microbial functional diversity involved in anaerobic digestion were also increased under co-digestion.

2017-01-12 | GSE93419 | GEO

Home composts ITS survey

Project description:Home composts ITS survey

| PRJEB9459 | ENA