Ontology highlight
ABSTRACT:
PROVIDER: PRJNA637213 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11922715_1.fastq.gz | Fastqsanger.gz | |||
| SRR11922715_2.fastq.gz | Fastqsanger.gz | |||
| SRR11922716_1.fastq.gz | Fastqsanger.gz | |||
| SRR11922716_2.fastq.gz | Fastqsanger.gz | |||
| SRR11922717_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 72 |
Similar Datasets
Project description:The spread of antibiotic resistance genes (ARG) into agricultural soils, products, and foods severely limits the use of organic fertilizers in agriculture. In this study, experimental land plots were fertilized, sown, and harvested for two consecutive agricultural cycles using either mineral or three types of organic fertilizers: sewage sludge, pig slurry, or composted organic fraction of municipal solid waste. The analysis of the relative abundances of more than 200,000 ASV (Amplicon Sequence Variants) allowed the identification of a small, but significant (<10%) overlap between soil and fertilizer microbiomes, particularly in soils sampled the same day of the harvest (post-harvest soils). Loads of clinically relevant ARG were significantly higher (up to 100 fold) in fertilized soils relative to the initial soil. The highest increases corresponded to post-harvest soils treated with organic fertilizers, and they correlated with the extend of the contribution of fertilizers to the soil microbiome. Edible products (lettuce and radish) showed low, but measurable loads of ARG (sul1 for lettuces and radish, tetM for lettuces). These loads were minimal in mineral fertilized soils, and strongly dependent on the type of fertilizer. We concluded that at least part of the observed increase on ARG loads in soils and foodstuffs were actual contributions from the fertilizer microbiomes. Thus, we propose that adequate waste management and good pharmacological and veterinarian practices may significantly reduce the potential health risk posed by the presence of ARG in agricultural soils and plant products.
2021-07-09 | GSE179685 | GEO
Project description:The nutritional similarities between herbicide-tolerant genetically modified (GM) crops and non-GM counterparts are used as scientific evidence to show GM crops are substantially equivalent and safe and nutritious to non-GM. A previous study demonstrated substantial non-equivalence in ready-to-market soybeans obtained from 31 samples from Iowa, USA and discriminated GM, non-GM conventionally farmed and organic soybean. In the present study, by using high-resolution tandem mass spectrometry (HRMS) coupled with high-throughput proteomics and bioinformatic analyses, the same 31 individual soybean samples were investigated. Our results show that proteomic profiles of GM, conventionally, and organically farmed soybean samples were different. Differentially expressed proteins were found that can be used as markers to separate conventionally and organically farmed soybean seeds. Our data indicate that HRMS coupled with bioinformatic analyses provide a powerful platform to probe the equivalence of GM with non-GM material in food and feeding stuff.
2022-06-08 | MSV000089618 | MassIVE
Project description:16S metagenomic analysis of organically grown Red Amaranth grown with different soils
| PRJEB62721 | ENA
Project description:Due to multi-generation domestication selection, farmed and wild Atlantic salmon diverge genetically, which raises concerns about potential genetic interactions among escaped farmed and wild populations and disrupts local adaptation through introgression. When farmed strains of distant geographic origin are used, it is unknown whether the genetic risks posed by escaped farmed fish will be greater than if more locally derived strains are used. Quantifying gene expression differences among divergent farmed, wild and F1 hybrids under controlled conditions is one of the ways to explore the consequences of hybridization. We compared the transcriptomes of late sac fry of a European (EO) farmed (“StofnFiskur”, Norwegian strain), a North American (NA) farmed (Saint John River, NB strain), a Newfoundland (NF) wild population with EO ancestry, and related F1 hybrids using 44K microarrays. Our findings indicate that the wild population showed greater transcriptome differences from the EO farmed strain than that of the NA farmed strain. We also found the largest differences in global gene expression between the two farmed strains. We detected fewer differentially expressed transcripts between F1 hybrids and domesticated/wild maternal strains. We also found that the differentially expressed genes between cross types over-represented GO terms associated with metabolism, development, growth, immune response, and redox homeostasis processes. These findings suggest that the interbreeding of escaped EO/NA farmed and NF wild population would alter gene transcription, and the consequences of hybridization would be greater from escaped EO farmed than NA farmed salmon, resulting in potential effects on the fitness of wild populations.
2022-03-11 | GSE184425 | GEO
Project description:GCMS datasets for the soil depth manuscript
Abstract
Two factors that are well-known to influence soil microbiomes include the depth of the soil as well as the level of moisture. Previous works have demonstrated that climate change will increase the incidence of drought in soils, but it is unknown how fluctuations in moisture availability affect soil microbiome composition and functioning down the depth profile. Here, we investigated soil and wheatgrass rhizosphere microbiomes in a common field setting under four different irrigation regimes and three depths. We demonstrated that there is a significant interactive effect, where fluctuations in soil moisture more strongly influence soil microbiomes at the surface layer than in deeper layers, including for soil community composition, diversity, and for functional profiles. Meanwhile, in rhizosphere communities the influence of irrigation was similar across the different depths, although there were slight discrepancies between the two cultivars of wheatgrass used. The lessened response of deeper soil microbiomes to changes in irrigation may be due to higher incidence of slow-growing, stress-resistant microbes.
2022-11-07 | MSV000090655 | MassIVE