Biogas productivity of anaerobic digestion process is governed by a core bacterial microbiota

Yu, Tao; Erşahin, Mustafa Evren; Ghasimi, Dara S.M.; Özgün, Hale; Wang, Haoyu; Zhang, Xuedong; Guo, Miao; Yang, Yunfeng; Stuckey, David C.; Lier, Jules B. van

doi:10.1016/j.cej.2019.122425

Cited by 88 publications

(27 citation statements)

References 42 publications

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“…The stable methanogenic population could be due to the fact that methanogens only utilize a few substrates (hydrogen, formate, acetate, or methyl) to generate methane and are categorized into three groups of hydrogenotrophs, acetotrophs, and methylotrophs, which are comprised of several classes ( Methanobacteria , Methanococci , Methanomicrobia , Methanonatronarchaeia, and Methanopyri ) ( Baker et al., 2020 ). The functional redundancy was rarely observable by a significant variation in the methanogenic community in the anaerobic digester, i.e., the methanogens detected were stable as a few genera of methanogens over time in the methanogenic bioreactors ( Tao et al., 2020 ). The generally dominant methanogens were Methanosarcina , Methanosaeta , and Methanobacterium ( Demirel and Scherer, 2008 ).…”

Section: Resultsmentioning

confidence: 99%

“…To ensure that we reached a saturation level of substrate (>2K s ), acetic acid at two concentrations of 1.2 g/L and 1.6 g/L was used for the SMA assays. The SMA was expressed as kg CH 4 /COD/kg VSS/day ( Tao et al., 2020 ).…”

Section: Methodsmentioning

confidence: 99%

“…We have investigated different inocula originating from a full-scale reactor (inocula-F) and a laboratory-based system (inocula-L). The former was obtained from a centralized full-scale AD plant codigesting wastewater and organic solid waste, while the latter was obtained from a laboratory-scale anaerobic membrane bioreactor described in a previous study ( Tao et al., 2020 ). We selected the classical CSTR as the AD reactor in this study; a preadaptation was used to acclimate the inocula to adapt to the unique food-fermentation industrial wastewater from a Quorn mycoprotein production process.…”

Section: Introductionmentioning

confidence: 99%

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Linkage of community composition and function over short response time in anaerobic digestion systems with food fermentation wastewater

et al. 2021

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Summary We investigated the short-term dynamics of microbial composition and function in bioreactors with inocula collected from full-scale and laboratory-based anaerobic digestion (AD) systems. The Bray-Curtis dissimilarity of both inocula was approximately 10% of the predicted Kyoto Encyclopedia of Genes and Genomes pathway and 40% of the taxonomic composition and yet resulted in a similar performance in methane production, implying that the variation of community composition may be decoupled from performance. However, the significant correlation of volatile fatty acids with taxonomic variation suggested that the pathways of AD could be different because of the varying genus. The predicted function of the significantly varying genus was mostly related to fermentation, which strengthened the conclusion that most microbial variation occurred within the fermentative species and led to alternative routes to result in similar methane production in methanogenic bioreactors. This finding sheds some light on the understanding of AD community regulation, which depends on the aims to recover intermediates or methane.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Linkage of community composition and function over short response time in anaerobic digestion systems with food fermentation wastewater

et al. 2021

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“…Anaerobic digestion (AD) can convert organic matters of livestock manure into renewable energy (biomethane) and realize the energy utilization of manure [ 1 , 2 ]. However, the digestate of AD contains high nutrients, suspended solids, and water content, making effective treatment and utilization of digestate difficult to achieve [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Direct Purification of Digestate Using Ultrafiltration Membranes: Influence of Pore Size on Filtration Behavior and Fouling Characteristics

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Ultrafiltration (UF) can effectively remove large particles, suspended solids, and colloidal substances from anaerobic digestate. However, membrane fouling is a technical challenge in the purification of the digestate by UF. In this study, polyethersulfone (PES) membranes with four pore sizes (50.0, 20.0, 10.0 and 5.0 kDa) were employed to filter anaerobic digestate from swine manure. The effects of temperature, transmembrane pressure (TMP), and cross-flow velocity (CFV) on flux were investigated. The purification effects and fouling characteristics of the four membranes were analyzed. The results revealed that the increase of temperature and CFV can effectively promote UF separation efficiency, but as the TMP exceeded 3.0 bar, the flux increase rates of the four membranes were almost zero. The larger membrane pore size caused the faster flux increase with the increase in pressure. During the batch experiment, the 20.0 kDa membrane showed the lowest flux maintenance ability, while the 5.0 kDa showed the highest ability due to the smaller pore size. All four membranes can effectively remove tetracyclines residues. Elements C, O, and S were the major membrane foulant elements. The dominant bacteria orders of membrane fouling were Pseudomonadales, Xanthomonadales and Burkholderiales. Compared with tap water and citric acid, the membrane cleaning by NaOH and NaClO showed higher flux recovery rates. The 50.0 kDa membrane achieved the best cleaning effects under all cleaning methods.

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“…Even though such methods provided relevant results towards the AD microbiome's unravelling, the emergence of high-throughput DNA sequencing methods about fifteen years ago (Hugerth and Andersson, 2017;Sogin et al, 2006) was a real game-changer that quickly accelerated the endeavours to characterise the AD microbiome. With 16S rRNA gene amplicon sequencing, the core taxa in AD were identified (Calusinska et al, 2018;Rui et al, 2015;Tao et al, 2020), and their link with operational parameters clarified (De Vrieze et al, 2018, 2015Mei et al, 2017;Sundberg et al, 2013). The "omics" enabled the transition from identification and fingerprinting towards, amongst others, the complementary estimation of the physiological potential (metagenomics), activity (metatranscriptomics or metaproteomics) and metabolic performance (metabolomics) of the AD microbiome (Hassa et al, 2018;Heyer et al, 2015;Vanwonterghem et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Triangulation of microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles

Vrieze

Heyer

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et al. 2021

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The anaerobic digestion microbiome has been puzzling us since the dawn of molecular methods for mixed microbial community analysis. Monitoring of the anaerobic digestion microbiome can either take place via a non-targeted holistic evaluation of the microbial community through fingerprinting or by targeted monitoring of selected taxa. Here, we compared four different microbial community fingerprinting methods, i.e., amplicon sequencing, metaproteomics, metabolomics and cytomics, in their ability to characterise the full-scale anaerobic digestion microbiome. Cytometric fingerprinting through cytomics reflects a, for anaerobic digestion, novel, single cell-based approach of direct microbial community fingerprinting by flow cytometry. Three different digester types, i.e., sludge digesters, digesters treating agro-industrial waste and dry anaerobic digesters, each reflected different operational parameters. The α-diversity analysis yielded inconsistent results, especially for richness, across the different methods. In contrast, β-diversity analysis resulted in comparable profiles, even when translated into phyla or functions, with clear separation of the three digester types. In-depth analysis of each method's features i.e., operational taxonomic units, metaproteins, metabolites, and cytometric traits, yielded certain similar features, yet, also some clear differences between the different methods, which was related to the complexity of the anaerobic digestion process. In conclusion, cytometric fingerprinting through flow cytometry is a reliable, fast method for holistic monitoring of the anaerobic digestion microbiome, and the complementary identification of key features through other methods could give rise to a direct interpretation of anaerobic digestion process performance.

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Biogas productivity of anaerobic digestion process is governed by a core bacterial microbiota

Cited by 88 publications

References 42 publications

Linkage of community composition and function over short response time in anaerobic digestion systems with food fermentation wastewater

Linkage of community composition and function over short response time in anaerobic digestion systems with food fermentation wastewater

Direct Purification of Digestate Using Ultrafiltration Membranes: Influence of Pore Size on Filtration Behavior and Fouling Characteristics

Triangulation of microbial fingerprinting in anaerobic digestion reveals consistent fingerprinting profiles

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