Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics

PeerJ. 2022 Mar 14:10:e12772. doi: 10.7717/peerj.12772. eCollection 2022.

Abstract

Wastewater stabilization ponds are a natural form of wastewater treatment. Their low operation and maintenance costs have made them popular, especially in developing countries. In these systems, effluents are retained for long periods of time, allowing the microbial communities present in the ponds to degrade the organic matter present, using both aerobic and anaerobic processes. Even though these systems are widespread in low income countries, there are no studies about the microorganisms present in them and how they operate. In this study, we analised the microbial communities of two serial full-scale stabilization ponds systems using whole genome shotgun sequencing. First, a taxonomic profiling of the reads was performed, to estimate the microbial diversity. Then, the reads of each system were assembled and binned, allowing the reconstruction of 110 microbial genomes. A functional analysis of the genomes allowed us to find how the main metabolic pathways are carried out, and we propose several organisms that would be key to this kind of environment, since they play an important role in these metabolic pathways. This study represents the first genome-centred approach to understand the metabolic processes in facultative ponds. A better understanding of these microbial communities and how they stabilize the effluents of dairy industries is necessary to improve them and to minimize the environmental impact of dairy industries wastewater.

Keywords: Facultative stabilization ponds; Metabolic pathways; Metagenomics; Metagenomics assembled genomes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Dairying
  • Genome, Microbial
  • Microbiota* / genetics
  • Ponds
  • Wastewater*

Substances

  • Wastewater

Grants and funding

This research work was supported by FONARSEC FSAGRO-LACTO003 MINCyT; SNDG-DG-F6 MINCyT; PNBIO-1131043 INTA; PNAIyAV-1130034 INTA. Jose M Irazoqui holds a CONICET fellowship. Maria F Eberhardt and Ariel F Amadio are CONICET fellows. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.