Ontology highlight
ABSTRACT:
PROVIDER: PRJNA912236 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR22742200_1.fastq.gz | Fastqsanger.gz | |||
| SRR22742200_2.fastq.gz | Fastqsanger.gz | |||
| SRR22742201_1.fastq.gz | Fastqsanger.gz | |||
| SRR22742201_2.fastq.gz | Fastqsanger.gz | |||
| SRR22742202_1.fastq.gz | Fastqsanger.gz |
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Project description:integrated soil metagenomics and metaproteomics to study grassland soil microbial communities
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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.
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Project description:integration of metagenomics, metaproteomics, and metabolomics to study soil microbial community.
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Project description:Evaluation of different strategies to interpret metaproteomics data acquired on soil samples from a floodplain along the Seine River (France) incorporating sample-specific metagenomics data, soil genome catalogue database, and generic sequence database.
2022-02-17 | PXD026798 | Pride
Project description:Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, along four sites/elevations of a Tibetan mountainous grassland, aiming to explore potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes. Cold shock genes were more abundant at higher elevations. Also, gdh converting ammonium into urea was more abundant at higher elevations while ureC converting urea into ammonium was less abundant, which was consistent with soil ammonium contents. Significant correlations were observed between N-cycling genes (ureC, gdh and amoA) and nitrous oxide flux, suggesting that they contributed to community metabolism. Lastly, we found by CCA, Mantel tests and the similarity tests that soil pH, temperature, NH4+–N and vegetation diversity accounted for the majority (81.4%) of microbial community variations, suggesting that these four attributes were major factors affecting soil microbial communities. Based on these observations, we predict that climate changes in the Tibetan grasslands are very likely to change soil microbial community functional structure, with particular impacts on microbial N cycling genes and consequently microbe-mediated soil N dynamics.
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Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
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Project description:To investigate the effects of organic fertilizer replacing chemical fertilizer on the growth and development of barley (Kunlun-14), a pot experiment was conducted. The study examined the impacts of different ratios of organic fertilizer replacing chemical fertilizer nitrogen (0%, 40%, 100%, denoted as OFR0, OFR40, OFR100, respectively) on the growth characteristics, leaf carbon-nitrogen balance, and nitrogen metabolism enzyme activities of barley.
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Project description:Nitrogen (N) fertilization is an important abiotic factor for the growth of potato (S. tuberosum) because of its potential effects on yield. Because excess N in the soil runs off into water systems and negatively impacts the environment, studies on N use by the plant are key to decrease N-fertilizer use. Three commercial potato cultivars (Shepody, Russet-Burbank and Atlantic) were grown under two different rates of applied N-fertilizer (0 kg N ha-1 and 180 kg N ha-1) to obtain more information on the underlying gene regulation mechanisms associated with N. Plants with no added N had significantly lower concentrations of petiole nitrates, chlorophyll level indices, biomass and yield per hectare. Total mRNA samples were taken at two different time-points during the growth season and used for sequencing. The results for each cultivar and time-point were analysed separately to find differentially expressed genes. In total, thirty genes were found to be over-expressed and nine genes were found to be under-expressed in plants from all potato cultivars when they were grown with added N-fertilizer. The 1000 bp upstream flanking regions of the differentially expressed genes were analysed to find overrepresented motifs using three motif discovery algorithms (Seeder, Weeder and MEME). Nine different motifs were found, indicating potential gene regulatory mechanisms for potato under N-deficiency.
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