Dataset Information

Data of metal and microbial analyses from anaerobic co-digestion of organic and mineral wastes.

ABSTRACT: High concentrations of minerals, heavy metals are often found in mineral wastes (MWs) originated from municipal solid waste incineration plants, so as construction/demolition sites. Such by-products (minerals) often have buffering capacity. The current work provides analysis of total and soluble (dissolved) metal concentrations released by four different MWs (a. cement-based waste, b. incineration (bottom), c. fly and d. boiler ash) supplemented to anaerobic reactors of organic waste at 37 °C. The reactors (continuous stirred tank reactor (CSTR)) were ran for 75 days at hydrolytic retention time of 20 days. Genomic DNA extraction, and qPCR and Illumina HiSeq (16S V4) analyses were conducted to investigate microbial community population and composition in anaerobic digestate samples collected from these reactors. Output data from Illumina sequencing analysis were FastQ files analysed using the QIIME2 pipeline to produce a feature table listing the frequency of each assigned microbial taxa per samples. Additional study was conducted on the microbial data to visualise variations in microbial communities using the STAMP software and phyloseq R package. Detailed interpretation and discussion of the results can be found in the related research article [1].

SUBMITTER: Shamurad B

PROVIDER: S-EPMC6502732 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Data of metal and microbial analyses from anaerobic co-digestion of organic and mineral wastes.

Shamurad Burhan B Gray Neil N Petropoulos Evangelos E Tabraiz Shamas S Acharya Kishor K Quintela-Baluja Marcos M Sallis Paul P

Data in brief 20190419

High concentrations of minerals, heavy metals are often found in mineral wastes (MWs) originated from municipal solid waste incineration plants, so as construction/demolition sites. Such by-products (minerals) often have buffering capacity. The current work provides analysis of total and soluble (dissolved) metal concentrations released by four different MWs (a. cement-based waste, b. incineration (bottom), c. fly and d. boiler ash) supplemented to anaerobic reactors of organic waste at 37 °C. T ...[more]

PMID: 31080853

Similar Datasets

Project description:Although biotic interactions among members of microbial communities have been conceived to be crucial for community assembly, it remains unclear how changes in environmental conditions affect microbial interaction and consequently system performance. Here, we adopted a random matrix theory-based network analysis to explore microbial interactions in triplicate anaerobic digestion (AD) systems, which is widely applied for organic pollutant treatments. The digesters were operated with incremental organic loading rates (OLRs) from 1.0 g volatile solids (VS)/liter/day to 1.3 g VS/liter/day and then to 1.5 g VS/liter/day, which increased VS removal and methane production proportionally. Higher resource availability led to networks with higher connectivity and shorter harmonic geodesic distance, suggestive of more intense microbial interactions and quicker responses to environmental changes. Strikingly, a number of topological properties of microbial network showed significant (P < 0.05) correlation with AD performance (i.e., methane production, biogas production, and VS removal). When controlling for environmental parameters (e.g., total ammonia, pH, and the VS load), node connectivity, especially that of the methanogenic archaeal network, still correlated with AD performance. Last, we identified the Methanothermus, Methanobacterium, Chlorobium, and Haloarcula taxa and an unclassified Thaumarchaeota taxon as keystone nodes of the network.IMPORTANCE AD is a biological process widely used for effective waste treatment throughout the world. Biotic interactions among microbes are critical to the assembly and functioning of the microbial community, but the response of microbial interactions to environmental changes and their influence on AD performance are still poorly understood. Using well-replicated time series data of 16S rRNA gene amplicons and functional gene arrays, we constructed random matrix theory-based association networks to characterize potential microbial interactions with incremental OLRs. We demonstrated striking linkage between network topological features of methanogenic archaea and AD functioning independent of environmental parameters. As the intricate balance of multiple microbial functional groups is responsible for methane production, our results suggest that microbial interaction may be an important, previously unrecognized mechanism in determining AD performance.

Project description:Anaerobic co-digestion (Co-AD) is used to increase the effectiveness of anaerobic digestion (AD) using local "wastes", adding economic and environmental benefits. Since system stability is of existential importance for the operation of wastewater treatment plants, thorough testing of potential co-substrates and their effects on the respective community and system performance is crucial for understanding and utilizing Co-AD to its best capacity. Food waste (FW) and canola lecithin (CL) were tested in mesophilic, lab-scale, semi-continuous reactors over a duration of 120 days with stepwise increased substrate addition. Key performance indicators (biogas, total/volatile solids, fatty acids) were monitored and combined with 16S-rRNA amplicon sequencing to assess the impact of co-substrate addition on reactor performance and microbial community composition (MCC). Additionally, the latter was then compared with natural shifts occurring in the wastewater treatment plant (WWTP, source) at the same time. An almost linear increase in biogas production with both co-substrates at an approximate 1:1 ratio with the organic loading rate (OLR) was observed. The MCCs in both experiments were mostly stable, but also prone to drift over time. The FW experiment MCC more closely resembled the original WWTP community and the observed shifts indicated high levels of functional redundancy. Exclusive to the CL co-substrate, a clear selection for a few operational taxonomic units (OTUs) was observed. There was little evidence for a persistent invasion and establishment of microorganisms from typical primary substrates into the stable resident community of the reactors, which is in line with earlier findings that suggested that the inoculum and history mostly define the MCC. However, external factors may still tip the scales in favor of a few r-strategists (e.g., Prolixibacter) in an environment that otherwise favors K-strategists, which may in fact also be recruited from the primary substrate (Trichococcus). In our study, specialization and diversity loss were also observed in response to the addition of the highly specialized CL, which in turn, may have adverse effects on the system's stability and reduced resilience and recovery.

Dataset Information

Data of metal and microbial analyses from anaerobic co-digestion of organic and mineral wastes.

Publications

Data of metal and microbial analyses from anaerobic co-digestion of organic and mineral wastes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets