CONICET | Buscador de Institutos y Recursos Humanos

Stabilization ponds are the most common treatment technology in developing countries due to their low operation and maintenance costs. Normally they are organized in several serial ponds that combine anaerobic and facultative processes. The microbial community composition in two stabilization ponds systems of dairy industries was analyzed using whole genome shotgun sequencing. Samples were collected from six full-scale stabilization ponds belonging to two cheese industries (CYC and AUR) located in the center of Santa Fe in Argentina. CYC treatment consisted in four serial ponds, while AUR have two serial stabilization ponds. In this work, we carried out two different studies of the composition of the community. First, a taxonomical analysis of the ponds was made using Centrifuge. In summary, we found a majority of the reads belonging to Bacteria, mostly the Proteobacteria phylum. However, the abundances within the phylum vary depending the pond. In addition, approximately 1% of the reads come from Archaeas and a not negligible amount come from Viruses, mainly bacteriophages. The second analysis was a binning process using MaxBin, aiming to reconstruct complete genomes from the metagenomic reads. The quality of the binning was assessed using CheckM, a tool that provides robust estimates of genome completeness and contamination by using collocated sets of genes that are ubiquitous and single-copy within a phylogenetic lineage. In total, we found 39 bins corresponding to CYC lagoons with a high level of completeness (>90% of the genome) and 22 corresponding to AUR. Also, we found 43 bins in CYC with a substantial level of completeness (>70%) and 29 using AUR reads. The knowledge about the taxonomical distribution of the community and the reconstruction of complete genomes is key to understand the process of substrate processing in the ponds and to find genes of biotechnological interest.

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