Sewage sludge microbial structures and relations to their sources, treatments, and chemical attributes

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Abstract

Sewage sludges generation and their disposal have become one of the greatest challenges of the 21st century. They have great microbial diversity that may impact wastewater treatment plant (WWTP) efficiency and soil quality whether used as fertilizers. Therefore, this research aimed to characterize microbial community diversity and structure of 19 sewage sludges from São Paulo, Brazil, as well as to draw their relations to sludge sources [domestic and mixed (domestic+industrial)], biological treatments (redox conditions and liming), and chemical attributes, using molecular biology as a tool. All sludges revealed high bacterial diversity, but their sources and redox operating conditions as well as liming did not consistently affect bacterial community structures. Proteobacteria was the dominant phylum followed by Bacteroidetes and Firmicutes; whereas Clostridium was the dominant genus followed by Treponema, Propionibacterium, Syntrophus, and Desulfobulbus. The sludge samples could be clustered into six groups (C1 to C6) according their microbial structure similarities. Very high pH (≥11.9) was the main sludge attribute segregating C6, that presented very distinct microbial structure from the others. Its most dominant genera were Propionibacterium > > Comamonas > Brevundimonas > Methylobacterium ~Stenotrophomonas ~Cloacibacterium. The other clusters' dominant genera were Clostridium > > Treponema > Desulfobulbus ~Syntrophus. Moreover, high Fe and S were important modulators of microbial structure in certain sludges undertaking anaerobic treatment and having relatively low N-Kj, B, and P contents (C5). However, high N-Kj, B, P, and low Fe and Al contents were typical of domestic, unlimed, and aerobically treated sludges (C1). In general, heavy metals had little impact on microbial community structure of the sludges. However, our sludges shared a common core of 77 bacteria, mostly Clostridium, Treponema, Syntrophus, and Comamonas. They should dictate microbial functioning within WWTPs, except by SS12 and SS13.

Figures

  • TABLE 1 | Sewage sludges sources and treatments as well as main chemical attributes.
  • FIGURE 1 | Relative microbial community abundance of 19 sewage sludges from São Paulo State, Brazil. (A, phyla; B, classes; C, genera; Others, members with relative abundance < 1%).
  • FIGURE 2 | Principal coordinate analysis (PCoA) for bacterial community structure of 19 sewage sludges from São Paulo State, Brazil (n = 3). Axis values indicated percentage of variance.
  • TABLE 2 | Analysis of similarity (ANOSIM) for microbial community structure and clusters formation for 19 sewage sludges from São Paulo State, Brazil.
  • TABLE 3 | Analysis of similarity (ANOSIM) for microbial community structure as affected by sources and treatments of 19 sewage sludges from São Paulo State, Brazil.
  • FIGURE 3 | Heatmap of the 20 most abundant bacterial genera found in 19 sewage sludges from São Paulo State, Brazil. C1, cluster 1 (n = 3 samples); C2, cluster 2 (n = 2 samples); C3, cluster 3 (n = 2 samples); C4, cluster 4 (n = 6 samples); C5, cluster 5 (n = 4 samples); and C6, cluster 6 (n = 2 samples). Red color, most abundant genus; Yellow, least abundant genus.
  • FIGURE 4 | Redundancy analysis (RDA) between chemical attributes and bacterial community of 19 sewage sludges from São Paulo State, Brazil (n = 3 replicates).

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CITATION STYLE

APA

Nascimento, A. L., Souza, A. J., Andrade, P. A. M., Andreote, F. D., Coscione, A. R., Oliveira, F. C., & Regitano, J. B. (2018). Sewage sludge microbial structures and relations to their sources, treatments, and chemical attributes. Frontiers in Microbiology, 9(JUL). https://doi.org/10.3389/fmicb.2018.01462

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