Ontology highlight
ABSTRACT:
PROVIDER: PRJNA751275 | ENA |
REPOSITORIES: ENA
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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.
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Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.
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Project description:We performed the RNA-seq in control samples and FXR1 knockdown samples, and compared the gene expression profiles to explore the effect of FXR1 knockdown on gene expression. The study was performed in H358 cells. Doxycycline inducible shRNA3 (sh3) was used to knockdown FXR1. Control shRNA (ctrl) samples were used to get rid of the effect of Doxycycline treatment. Both the Doxycycline treament for 3 days (D3) and 5 days (D5) samples were collected. Each sample has three repeats (rep 1, rep 2, and rep 3). The mRNA profiles were generated by deep sequencing using Illumina.Sequenced reads were trimmed for adaptor sequence, then mapped to hg19 whole genome using STAR v2.5.3 with parameters --bamRemoveDuplicatesType UniqueIdentical --outSAMmultNmax 1. Raw reads and Reads Per Kilobase per Megabase of library size (RPKM) were calculated using HOMER (PMID: 20513432). Differential gene expression was analyzed using R package DESeq2 using the raw reads.
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