Soil tetracycline resistant genes
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ABSTRACT:
PROVIDER: PRJNA1022849 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Chinese Poyang Lake resistant genes from soil metagenome
| PRJEB9412 | ENA
Project description:EMG produced TPA metagenomics assembly of the Chinese Poyang Lake resistant genes from soil metagenome (Chinese Poyang Lake resistant genes from soil metagenome) data set
| PRJEB22511 | ENA
Project description:Drug profiling exeriment to elucidate protein regulation upon treatment of a multi-drug resistant E.coli strain with tetracycline.
2017-01-06 | PXD003641 | Pride
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.
2020-03-06 | GSE146427 | GEO
Project description:Acinetobacter baumannii causes high mortality in ventilator-associated pneumonia patients and antibiotic treatment is compromised in multi-drug resistant strains resistant to beta-lactams, carbapenems, cephalosporins, polymyxins and tetracyclines. Among COVID-19 patients receiving ventilator support, multi-drug resistant A. baumannii secondary infection is associated with a two-fold increase in mortality. Here we investigated the use of the 8-hydroxyquinoline ionophore PBT2 to break resistance of A. baumannii to tetracycline class antibiotics.
2021-12-17 | GSE175535 | GEO
Project description:Transcriptional profiling of A. oleivorans DR1 cells comparing tetracylcline-treated wild type cells with tetracycline-treated DR1 cell harboring pAST2. To identify genes important for tetracycline stress response in A. oleivorans DR1 and A. oleivorans DR1 harboring pAST2, the cells were grown to exponential phase (OD600 ~0.4) and treated with tetracycline (1μg/ml) over a period of 15 min.
2013-02-21 | E-GEOD-44428 | biostudies-arrayexpress
Project description:We isolated an efficient tetracycline degrading strain Sphingobacterium sp. WM1. To investigate gene expression patterns during tetracycline degradation by strain WM1, we conducted a comparative transcriptomic analysis using cultures of strain WM1 with and without tetracycline addition. The RNA-Seq data revealed that 90.44-96.56% of the reads mapped to the genome of Sphingobacterium sp. WM1 across all samples. Differentially expressed genes (DEGs) analysis (|log2FC| >2; p < 0.01) showed that 693 genes were significantly up-regulated and 592 genes were significantly down-regulated.
2023-09-21 | GSE234909 | GEO
Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
2020-01-14 | GSE143587 | GEO
Project description:Transcriptional profiling of A. oleivorans DR1 cells comparing tetracylcline-treated wild type cells with tetracycline-treated DR1 cell harboring pAST2.
2013-02-21 | GSE44428 | GEO
Project description:Reforestation is effective in restoring ecosystem functions and enhancing ecosystem services of degraded land. The three most commonly employed reforestation methods of natural reforestation, artificial reforestation with native Masson pine (Pinus massoniana Lamb.), and introduced slash pine (Pinus elliottii Engelm.) plantations were equally successful in biomass yield in southern China. However, it is not known if soil ecosystem functions, such as nitrogen (N) cycling, are also successfully restored. Here, we employed a functional microarray to illustrate soil N cycling. The composition and interactions of N-cycling genes in soils varied significantly with reforestation method. Natural reforestation had more superior organization of N-cycling genes, and higher functional potential (abundance of ammonification, denitrification, assimilatory, and dissimilatory nitrate reduction to ammonium genes) in soils, providing molecular insight into the effects of reforestation.
2019-11-04 | GSE100379 | GEO