» Articles » PMID: 28769920

Unraveling the Microbial Interactions and Metabolic Potentials in Pre- and Post-treated Sludge from a Wastewater Treatment Plant Using Metagenomic Studies

Overview
Journal Front Microbiol
Specialty Microbiology
Date 2017 Aug 4
PMID 28769920
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

Sewage waste represents an ecosystem of complex and interactive microbial consortia which proliferate with different kinetics according to their individual genetic as well as metabolic potential. We performed metagenomic shotgun sequencing on Ion-Torrent platform, to explore the microbial community structure, their biological interactions and associated functional capacity of pre-treated/raw sludge (RS) and post-treated/dried sludge (DS) of wastewater treatment plant. Bacterial phylotypes belonging to (∼45.80%) dominated the RS with relatively few Archaea (∼1.94%) whereas DS has the dominance of - (30.23%) and - (13.38%) classes of with relatively greater abundance of (∼7.18%). In particular, appears as a primary energy source in RS and sulfur-reducing bacteria with methanogens seems to be in the potential syntrophic association in DS. These interactions could be ultimately responsible for carrying out amino-acid degradation, aromatic compound degradation and degradation of propionate and butyrate in DS. Our data also reveal the presence of key genes in the sludge microbial community responsible for degradation of polycyclic aromatic hydrocarbons. Potential pathogenic microbes and genes for the virulence factors were found to be relatively abundant in RS which clearly reflect the necessity of treatment of RS. After treatment, potential pathogens load was reduced, indicating the sludge hygienisation in DS. Additionally, the interactions found in this study would reveal the biological and environmental cooperation among microbial communities for domestic wastewater treatment.

Citing Articles

Comparative microbial metagenomic analysis of drinking water plants and wastewater treatment plants in Istanbul.

Demirci M, Cubuk C, Dasdemir F, Saribas A, Balcioglu E, Ozbey D Front Microbiol. 2025; 16:1488268.

PMID: 39901928 PMC: 11788275. DOI: 10.3389/fmicb.2025.1488268.


Microbiome science of human excrement composting.

Meilander J, Caporaso J ISME J. 2024; 18(1).

PMID: 39520251 PMC: 11631093. DOI: 10.1093/ismejo/wrae228.


Nonbacterial Microflora in Wastewater Treatment Plants: an Underappreciated Potential Source of Pathogens.

Ariyadasa S, Taylor W, Weaver L, McGill E, Billington C, Pattis I Microbiol Spectr. 2023; 11(3):e0048123.

PMID: 37222623 PMC: 10269893. DOI: 10.1128/spectrum.00481-23.


High-Throughput Microbial Community Analyses to Establish a Natural Fungal and Bacterial Consortium from Sewage Sludge Enriched with Three Pharmaceutical Compounds.

Ledezma-Villanueva A, Robledo-Mahon T, Gomez-Silvan C, Angeles-De Paz G, Pozo C, Manzanera M J Fungi (Basel). 2022; 8(7).

PMID: 35887425 PMC: 9324927. DOI: 10.3390/jof8070668.


Metagenomic Insights Into the Changes of Antibiotic Resistance and Pathogenicity Factor Pools Upon Thermophilic Composting of Human Excreta.

Werner K, Schneider D, Poehlein A, Diederich N, Feyen L, Axtmann K Front Microbiol. 2022; 13:826071.

PMID: 35432262 PMC: 9009411. DOI: 10.3389/fmicb.2022.826071.


References
1.
Haiko J, Westerlund-Wikstrom B . The role of the bacterial flagellum in adhesion and virulence. Biology (Basel). 2014; 2(4):1242-67. PMC: 4009794. DOI: 10.3390/biology2041242. View

2.
Kotsyurbenko O . Trophic interactions in the methanogenic microbial community of low-temperature terrestrial ecosystems. FEMS Microbiol Ecol. 2005; 53(1):3-13. DOI: 10.1016/j.femsec.2004.12.009. View

3.
Sun L, Pope P, Eijsink V, Schnurer A . Characterization of microbial community structure during continuous anaerobic digestion of straw and cow manure. Microb Biotechnol. 2015; 8(5):815-27. PMC: 4554469. DOI: 10.1111/1751-7915.12298. View

4.
Blow N . Metagenomics: exploring unseen communities. Nature. 2008; 453(7195):687-90. DOI: 10.1038/453687a. View

5.
Saitou N, Nei M . The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4(4):406-25. DOI: 10.1093/oxfordjournals.molbev.a040454. View