Metagenomic Sequencing and Functional Analysis of Arthrospira platensis Cultures Grown in Brewery Wastewater

Description:This dataset contains metagenomic sequencing data and annotations derived from Arthrospira platensis cultures grown in 90% brewery wastewater (BWW). Samples were collected at three key time points—day 0 (inoculation), day 2 (maximum microbial activity), and day 10 (stationary growth phase)—and analyzed to explore microbial diversity, functional gene composition, and metabolic pathways under these conditions.

Experimental and Analytical Workflow:

Sample Collection and Sequencing:

Samples shipped on dry ice to Novogene for sequencing.

DNA extracted and fragmented (~350 bp) for library construction and PE150 sequencing.

Bioinformatics Pipeline:

Quality Control: Removal of low-quality reads and host contamination.

Assembly: Performed using MEGAHIT to generate scaftigs for gene prediction.

Gene Prediction and Annotation:

ORFs predicted using MetaGeneMark and redundancy reduced via CD-HIT.

Annotated against functional databases (e.g., KEGG, eggNOG, CAZy, VFDB, CARD).

Taxonomic Profiling:

Species annotation using DIAMOND and the Micro_NR database.

Diversity analysis: PCA, PCoA, NMDS, and heatmaps.

Functional Analysis:

Abundance tables for genes, taxa, and functional categories.

Pathway-level metabolic comparisons using KEGG and other databases.

Resistance gene identification via the CARD database.

Statistical Analysis:

MetaGenomeSeq, LEfSe, and RandomForest models used to detect intergroup differences and key species.

Dataset Includes:

Raw sequencing data (FASTQ files).

Gene and species abundance tables.

Functional annotation results (KEGG pathways, CAZy enzymes, resistance genes).

PCA, PCoA, and heatmaps for diversity and functional analysis.

QC and bioinformatics reports.

Purpose:The dataset aims to uncover microbial community dynamics and functional potential of microalgal cultures in brewery wastewater, supporting research on wastewater valorization, microbial ecology, and bioresource applications.