Raw sequencing data "Microbial paracetamol degradation involves a high diversity of novel amidase enzyme candidates"
Creators
Date of Archiving
2022Archive
NCBI
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Publication type
Dataset
Access level
Open access
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Organization
Ecological Microbiology
Audience(s)
Biotechnology
Key words
Acetaminophen; amidase evolution; deaminase; dioxygenase; mobile genetic elements; PseudomonasAbstract
This dataset was created to identify the genes involved in paracetamol biodegradation. To do that, we inoculated a bioreactor with sludge of a hospital wastewater treatment plant (WWTP) (Pharmafilter, Delft, NL) and fed it with paracetamol as the sole carbon source. Paracetamol was fully degraded without any lag phase and the enriched microbial community was investigated by metagenomic and metatranscriptomic analyses, which demonstrated that the microbial community was very diverse. Dilution and plating on paracetamol-amended agar plates yielded two Pseudomonas sp. isolates: a fast-growing Pseudomonas sp. (pfast) that degraded 200 mg/L of paracetamol in approximately 10 hours while excreting a dark brown component to the medium, and a slow-growing Pseudomonas sp. (pslow) that degraded paracetamol without obvious intermediates in more than 90 days. We also sequenced the genome and transcriptome of the two Pseudomonas isolates growing on paracetamol as sole carbon source. This database registration corresponds to the raw sequencing data and metadata (isolation site, DNA/RNA extraction method, sequencing platform, etc.). The sequencing files can be download in the read sequence archive (SRA) database of the NCBI under the BioProject ID PRJNA831879. The amino acid sequences and annotation of all genes in the (meta)genomes and the transcripts per million (TPMs) of the transcriptomes are deposited in Dans Easy.
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- Datasets [1855]
- Faculty of Science [37138]