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Soil amplicon

ABSTRACT: soil amplicon Raw sequence reads

PROVIDER: PRJNA955316 | ENA |

REPOSITORIES: ENA

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Dataset's files

Source:

			Action	DRS
	SRR24170446.fastq.gz	Fastqsanger.gz
	SRR24170447.fastq.gz	Fastqsanger.gz
	SRR24170448.fastq.gz	Fastqsanger.gz
	SRR24170449.fastq.gz	Fastqsanger.gz
	SRR24170450.fastq.gz	Fastqsanger.gz

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soil amplicon

Project description:soil amplicon Raw sequence reads

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High-throughput 16S rRNA amplicon pyrosequencing of contaminated aquifer sediment

Project description:Contaminated aquifer (Dusseldorf-Flinger, Germany) templates extracted from 5 sediment depths ranging between 6.4 and 8.4 m below ground and over 3 years of sampling were amplified for amplicon pyrosequencing using the primers Ba27f (5’-aga gtt tga tcm tgg ctc ag-3’) and Ba519r (5’- tat tac cgc ggc kgc tg-3’), extended as amplicon fusion primers with respective primer A or B adapters, key sequence and multiplex identifiers (MID) as recommended by 454/Roche. Amplicons were purified and pooled as specified by the manufacturer. Emulsion PCR (emPCR), purification of DNA-enriched beads and sequencing run were performed following protocols and using a 2nd generation pyrosequencer (454 GS FLX Titanium, Roche) as recommended by the developer. Quality filtering of the pyrosequencing reads was performed using the automatic amplicon pipeline of the GS Run Processor (Roche), with a slight modification concerning the valley filter (vfScanAllFlows false instead of TiOnly) to extract the sequences. Demultiplexed raw reads were furhter trimmed for quality and lenght (>250 bp).

2012-11-11 | GSE25345 | GEO

Soil amplicon sequencing data

Project description:Soil amplicon sequencing data Raw sequence reads

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MAGE-seq E. coli primary sigma factor RpoD amplicon high-throughput genotyping

Project description:Genotyping of RpoD mutants via amplicon sequencing from the following manuscript: \\"Systematic dissection of σ70 sequence diversity and function in bacteria\\" by Park and Wang (2020). Includes raw sequencing reads from samples from MAGE-seq single codon saturation mutagenesis and high-throughput fitness competition experiment as well as the RpoD ortholog mutants generated through recombineering and CRISPR selection.

2022-06-06 | E-MTAB-9103 | biostudies-arrayexpress

High-throughput 16S rRNA amplicon pyrosequencing of contaminated aquifer sediment

2012-11-11 | E-GEOD-25345 | biostudies-arrayexpress

Amplicon-based targeted re-sequencing analysis of target genes in human DNA samples using the Illumina TruSeq Custom Amplicon technology

Project description:Amplicon-based targeted re-sequencing analysis was performed in the patient-derived gliobastoma cell culture samples. For this purpose, genomic DNA (gDNA) was isolated and DNA libraries were prepared using the TruSeq Custom Amplicon Low Input (Illumina, Inc.) technology. By this, a pool of 375 amplicons was generated for each single sample in order to enrich for the target genes ATRX1, EGFR, IDH1, NF1, PDGFRA, PIK3CG, PIK3R1, PTEN, RB1 and TP53. Sequencing was performed on the Illumina MiSeq® next generation sequencing system (Illumina Inc.) and its 2 x 250 bp paired-end v2 read chemistry. The resulting reads were quality controlled and mapped against the human reference genome (hg19). For all samples, sequence variations of the amplified regions of interest in comparison to the human reference sequence were identified and filtered based on reliability.

2021-07-07 | E-MTAB-9343 | biostudies-arrayexpress

Soil 16S and ITS amplicon sequences

Project description:Soil 16S and ITS amplicon sequences Raw sequence reads

| PRJNA746808 | ENA

Cates Soil Carbon Mineralization 16S Amplicon Analysis

Project description:Cates Soil Carbon Mineralization 16S Amplicon Analysis Raw sequence reads

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ITS amplicon

Project description:ITS amplicon Raw sequence reads

| PRJNA987159 | ENA

RNA-Seq Analysis to confirm Different Transcriptomic Profiles of Soil-Derived Functional Module Consortia.

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

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