Study Info
INDA Accessions: INRP000684
INSDC Accessions: PRJEB123715, ERP203624
- Title: Metagenomic insights of pineapple peel bioenzyme for wastewater treatment
- Data Type : Whole Genome Sequencing
- Descriptive Title: Metagenomic insights of pineapple peel bioenzyme for wastewater treatment
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Organism:
Scientific Name(Taxon Id): Acetobacter ghanensis (431306) Common Name:
Other Info
- Abstract: Bioenzymes derived from pineapple peels have gained recognition as sustainable and eco-friendly bioremediation agent for wastewater treatment due to their rich microbial composition and enzymatic potential. The present study harnessed whole-genome shotgun metagenomic sequencing to identify the microbial community and functional potential of fermented pineapple peel bioenzyme. Genomic DNA extracted from the bioenzyme was sequenced on the Illumina paired-end platform. The metagenomic dataset revealed a highly diverse microbial community dominated by bacteria associated with fermentation, carbohydrate metabolism, and organic matter degradation. Genome binning recovered two high-quality metagenome-assembled genomes exhibiting completeness, with acceptable contamination levels. Taxonomic classification assigned these MAGs to Acetobacter ghanensis and members of the genus Lactobacillus, microorganisms widely recognised for their roles in organic acid production, carbohydrate fermentation, and enzymatic degradation of complex organic substrates. The prevalence of acetic acid bacteria and lactic acid bacteria suggests a cooperative microbial ecosystem capable of transforming organic residues into biologically active compounds and extracellular enzymes. The identification of extensive functional repertoires further supports the role of pineapple peel bioenzymes as biologically active systems rather than simple fermentation products. These results establish a molecular basis for understanding the mechanisms underlying bioenzyme-mediated wastewater treatment and support the development of optimised bioenzyme formulations for sustainable environmental biotechnology applications.
- Linked publications:
- Center Name: Sukhmanjot Kaur and Urmila Phutela, Punjab Agricultural University, Ludhiana, Punjab, India
- Number of Base(Total) Mbp: 7,888,250,086
- Size in bytes(Total): 5,261,466,146
- Number of sample:
- Number of Runs:
- Number of Sequences:
- Number of Assembly:
- Number of Variant files:
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