Influence of support media supplementation to reduce the inhibition of anaerobic digestion by phenol and ammonia: Effect on degradation performances and microbial dynamics

Data in this article provide detailed information on the microbial dynamics within digesters supplemented with different support media (two types of zeolites, two types of activated carbons, one type of chitosan, one control) in presence of different inhibitory conditions (control without inhibitor, 1.3 g/L of phenol and 19 g/L of total ammonia nitrogen). Data include the operational conditions and degradation performance measurements, as well as microbial community analysis, by 16S rRNA gene sequencing, at different time points for the different conditions (samples). Sequencing data were generated by using IonTorrent PGM sequencer. This data is associated with the research articles “Improving anaerobic digestion with support media: Mitigation of ammonia inhibition and effect on microbial communities?” (Poirier et al., 2017) [1] and “Support media can steer methanogenesis in presence of phenol through biotic and abiotic effects” (Poirier et al., 2018) [2]. The sequencing data have been deposited with links to BioProject accession number PRJNA450513, in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA450513). Samples accession numbers go from SAMN08940368 to SAMN08940426.


a b s t r a c t
Data in this article provide detailed information on the microbial dynamics within digesters supplemented with different support media (two types of zeolites, two types of activated carbons, one type of chitosan, one control) in presence of different inhibitory conditions (control without inhibitor, 1.3 g/L of phenol and 19 g/L of total ammonia nitrogen). Data include the operational conditions and degradation performance measurements, as well as microbial community analysis, by 16S rRNA gene sequencing, at different time points for the different conditions (samples). Sequencing data were generated by using IonTorrent PGM sequencer. This data is associated with the research articles "Improving anaerobic digestion with support media: Mitigation of ammonia inhibition and effect on microbial communities?" (Poirier et al., 2017) [1] and "Support media can steer methanogenesis in presence of phenol through biotic and abiotic effects" (Poirier et al., 2018) [2]. The

Subject area
Biology More specific subject area Microbial ecology of anaerobic digestion Type of data Table, figure, raw sequencing data How data was acquired Gas production and composition were measured respectively by using a differential manometer (Digitron 2082P, Margam, UK) and a micro gas chromatography (CP4900, Varian, Palo Alto, USA). Volatile fatty acids concentrations were quantified by ionic chromatography coupled with conductometric detection (Dionex 120, ThermoFisher). DNA sequencing was carried out with Ion Torrent Personal Genome Machine. Data format Raw, analyzed Experimental factors Liquid samples were centrifuged (10,000g, 10 min). Pellets and supernatants were stored separately at À 20°C before respectively DNA extraction with Powersoil™DNA isolation kit (Mobio Laboratories Inc. Carlsbad) and dilution for VFA analysis. Experimental features 54 anaerobic batch digesters were carried out to evaluate in triplicate and in three different conditions (without inhibitor, in presence of 19 g/L of total ammonia nitrogen and in presence of 1.3 g/L of phenol) the influence of 5 support media on anaerobic digestion performances and microbial dynamics. Data source location Antony, France Data accessibility Data are available in the article. The sequencing data have been deposited in the bioproject PRJNA450313, with the dataset identifier (TaxID) 1263854 in the NCBI BioProject database https://www.ncbi.nlm.nih. gov/sra/?term¼ PRJNA450513

Value of the data
Those data provide a link between anaerobic digester performance (biogas production and volatile fatty acids accumulation), inhibition type (phenol or ammonia), and reduction of the inhibition by different support media and microbial community composition.
Sequencing data can be used to understand the variation of microbial community composition, abundance and diversity in anaerobic digesters inhibited or not by phenol or ammonia and supplemented with different type of support media.
Sequencing data can be used to identify micro-organisms characteristics of the different types of inhibition in the presence of support media. Accessibility to 16S rRNA sequence data and detailed associated metadata allows researchers to perform new analyses with their own research purposes.
A wide number of conditions were tested (18) in triplicates and in similar experimental system, with the same inoculum and feeding, at the same time. A very important number of samples were sequenced, at different time points (59).

Data
A wide variety of inhibitors can induce anaerobic digester disruption [3]. To avoid performance losses, support media such as zeolites [4], activated carbon [5] or chitosan [6] can be used to mitigate inhibitions. Fig. 1 illustrates the global experimental design of this study. Briefly, 54 anaerobic batch digesters were carried out to evaluate in triplicate and in three different conditions (without inhibitor, in presence of 19 g/L of total ammonia nitrogen and in presence of 1.3 g/L of phenol) the influence of 5 support media (2 zeolites, 2 activated carbons and chitosan) on anaerobic digestion performances Fig. 1. Experimental design. 54 anaerobic batch digesters were implemented to evaluate (in triplicate) the influence of five support media (zeolite no 1, zeolite no 2, activated carbon no 1, activated carbon no 2 and chitosan) on anaerobic digestion performances and microbial dynamics in three different conditions (in presence of 1.3 g/L of phenol, in presence of 19 g/L of total ammonia nitrogen and without inhibitor). Control digesters without support were also carried out for each condition.   Table 2 Cumulated CH 4 production (mL) over time (days) for the different support media initially added under non-inhibiting condition.
CH4 production (mL)  Table 3 Cumulated CH 4 production (mL) over time (days) for the different support media initially added in presence of 19 g/L of Total Ammonia Nitrogen.
CH4 production (mL)  Table 4 Cumulated CH 4 production (mL) over time (days) for the different support media initially added in presence of 1.3 g/L of phenol.
CH4 production (mL)  Table 5 Cumulated CO 2 production (mL) over time (days) for the different support media initially added under non-inhibiting condition.

Experimental design and sampling
54 anaerobic batch bioreactors were initially seeded with 20 g of centrifuged methanogenic sludge as inoculum and supplemented with 50 g of mashed biowaste as substrate corresponding to an initial organic loading of 10 g COD/g COD. A total of 5 support media (2 different zeolites, 2 different activated carbons and one type of chitosan) were tested. One triplicate of bioreactors without support was also implemented as control. In a first set of 18 bioreactors, NH 4 Cl (99.998%, Sigma Aldrich) was added in order to reach 19 g/L of total ammonia nitrogen. In the second set of 18 bioreactors, phenol (99%, ACROS Organics) was added in order to reach 1.5 g/L. The last set of 18 bioreactors was not supplemented with inhibitor. Time zero (T0) samples were taken and all reactors were incubated without agitation, in the dark, at 35°C. Liquid samples (2 mL) were periodically taken through the septum and centrifuged at 10,000g for 10 min. Pellets were separated from the supernatant and stored at À 20°C.

DNA extraction, amplification and sequencing
Total DNA was extracted from the pellet using PowersoilTM DNA isolation kit (Mobio Laboratories Inc. Carlsbad) according to the manufacturer's instructions. DNA extracts were used for the amplification of the bacterial and archaeal hypervariable region V4-V5 of the 16S rRNA genes with the           Table 14 Butyrate concentrations (mg/L) over time (days) for the different support media initially added under non-inhibiting condition.

Sequence read processing
PGM software filtered out low quality and polyclonal sequence reads, and quality filtered data was exported as FastQ file.

Transparency document. Supplementary material
Transparency document associated with this article can be found in the online version at https:// doi.org/10.1016/j.dib.2018.06.071.