Temperature affects microbial abundance, activity and interactions in anaerobic digestion

Lin, Qiang; Vrieze, Jo De; Li, Jiabao; Li, Xiangzhen

doi:10.1016/j.biortech.2016.02.132

Cited by 102 publications

(53 citation statements)

References 32 publications

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“…The microbial community of AD reactors is mainly affected by substrate composition (Regueiro et al, 2012;Zhang et al, 2014) and operational conditions (Vanwonterghem et al, 2015;Regueiro et al, 2016;Amha et al, 2018). One of the most important factors that drastically affects AD microbial communities is temperature as it imposes a selection pressure on the communities shifting the abundance and activity of specific populations in digesters treating different kinds of waste like beet molasses, maize, slaughterhouse or fish residues, municipal solid wastes and swine or pig manures (Regueiro et al, 2014;Vrieze et al, 2015;Lin et al, 2016). Thermophilic (45-60°C) communities are regarded as less diverse and even than mesophilic (30-45°C) ones.…”

Section: Introductionmentioning

confidence: 99%

Air‐side ammonia stripping coupled to anaerobic digestion indirectly impacts anaerobic microbiome

Fernandez‐Gonzalez

Pedizzi

Lema

et al. 2019

Microbial Biotechnology

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Summary Air‐side stripping without a prior solid–liquid phase separation step is a feasible and promising process to control ammonia concentration in thermophilic digesters. During the process, part of the anaerobic biomass is exposed to high temperature, high pH and aerobic conditions. However, there are no studies assessing the effects of those harsh conditions on the microbial communities of thermophilic digesters. To fill this knowledge gap, the microbiomes of two thermophilic digesters (55°C), fed with a mixture of pig manure and nitrogen‐rich co‐substrates, were investigated under different organic loading rates (OLR: 1.1–5.2 g COD l−1 day−1), ammonia concentrations (0.2–1.5 g free ammonia nitrogen l−1) and stripping frequencies (3–5 times per week). The bacterial communities were dominated by Firmicutes and Bacteroidetes phyla, while the predominant methanogens were Methanosarcina sp archaea. Increasing co‐substrate fraction, OLR and free ammonia nitrogen (FAN) favoured the presence of genera Ruminiclostridium, Clostridium and Tepidimicrobium and of hydrogenotrophic methanogens, mainly Methanoculleus archaea. The data indicated that the use of air‐side stripping did not adversely affect thermophilic microbial communities, but indirectly modulated them by controlling FAN concentrations in the digester. These results demonstrate the viability at microbial community level of air side‐stream stripping process as an adequate technology for the ammonia control during anaerobic co‐digestion of nitrogen‐rich substrates.

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Section: Introductionmentioning

confidence: 99%

Air‐side ammonia stripping coupled to anaerobic digestion indirectly impacts anaerobic microbiome

Fernandez‐Gonzalez

Pedizzi

Lema

et al. 2019

Microbial Biotechnology

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“…Microbial diversity, activities and interactions can also be affected by process parameters (e.g. temperature and ammonia), which in turn affect overall AD performance (Goux et al, 2016;Lin et al, 2016). Understanding the microbial community structure and pathways in AD is thus important, to ensure the regular operation and performance of the AD process.…”

Section: Introductionmentioning

confidence: 99%

Microbial population dynamics in urban organic waste anaerobic co-digestion with mixed sludge during a change in feedstock composition and different hydraulic retention times

Fitamo¹,

et al. 2017

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Microbial communities play an essential role in the biochemical pathways of anaerobic digestion processes. The correlations between microorganisms' relative abundance and anaerobic digestion process parameters were investigated, by considering the effect of different feedstock compositions and hydraulic retention times (HRTs). Shifts in microbial diversity and changes in microbial community richness were observed by changing feedstock composition from mono-digestion of mixed sludge to co-digestion of food waste, grass clippings and garden waste with mixed sludge at HRT of 30, 20, 15 and 10 days. Syntrophic acetate oxidation along with hydrogenotrophic methanogenesis, mediated by Methanothermobacter, was found to be the most prevalent methane formation pathway, with the only exception of 10 days' HRT, in which Methanosarcina was the most dominant archaea. Significantly, the degradation of complex organic polymers was found to be the most active process, performed by members of S1 (Thermotogales), Thermonema and Lactobacillus in a reactor fed with a high share of food waste. Conversely, Thermacetogenium, Anaerobaculum, Ruminococcaceae, Porphyromonadaceae and the lignocellulosic-degrading Clostridium were the significantly more abundant bacteria in the reactor fed with an increased share of lignocellulosic biomass in the form of grass clippings and garden waste. Finally, microbes belonging to Coprothermobacter, Syntrophomonas and Clostridium were correlated significantly with the specific methane yield obtained in both reactors.

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“…The degradation rate in the present study was constructed by the proportion and the half-life distance of the 410 noneffective WBIF. The proportion of noneffective WBIF relies on microbial activity, which is impacted 411 by temperature (Lin, et al,2016). Therefore, the highest proportion of noneffective WBIF was detected in 412 the frozen spring period, and the lowest proportion as detected in summer.…”

Section: Effectiveness Of Monitoring Upstream Biodiversity Informatiomentioning

confidence: 99%

Simultaneously monitoring aquatic and riparian biodiversity using riverine water eDNA

Yang

Qi³

et al. 2020

Preprint

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Both aquatic and terrestrial biodiversity information can be detected in riverine water environmental DNA (eDNA). However, the monitoring effectiveness (i.e., the proportion of aquatic and terrestrial biodiversity information detected in riverine water eDNA samples) is unknown. To investigate the monitoring effectiveness, we introduced the concept of watershed biological information flow (WBIF) and proposed that the monitoring effectiveness depended on the transportation effectiveness of the WBIF. Then, the monitoring effectiveness could be assessed in the WBIF framework. Here, we conducted a monitoring effectiveness assessment case study in a watershed on the Qinghai-Tibet Plateau according to analysis of the bacterial operational taxonomic unit (OTU) assemblages detected in riverine water eDNA samples and riparian soil eDNA samples during three seasons. The results showed that (1) the downstream-to-upstream monitoring effectiveness: only 76% of the bacterial OTUs could be detected 1 km downstream in spring and more than 97% and 96% could be detected in summer and autumn, respectively. (2) The river-to-land monitoring effectiveness: more than 62% of the bacterial OTUs in riparian soil eDNA samples could be detected in adjacent riverine water eDNA samples on rainy summer days and 16% and 48% could be detected on cloudy spring and autumn days, respectively. These results suggested that riverine water eDNA was viable for simultaneously monitoring aquatic and terrestrial biodiversity and that rainy days in summer or autumn were suitable sampling times on the Qinghai-Tibet Plateau. More studies on monitoring effectiveness in other taxonomies and in other watersheds with different climatic conditions are needed to support simultaneous aquatic and terrestrial biodiversity assessments.

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Temperature affects microbial abundance, activity and interactions in anaerobic digestion

Cited by 102 publications

References 32 publications

Air‐side ammonia stripping coupled to anaerobic digestion indirectly impacts anaerobic microbiome

Air‐side ammonia stripping coupled to anaerobic digestion indirectly impacts anaerobic microbiome

Microbial population dynamics in urban organic waste anaerobic co-digestion with mixed sludge during a change in feedstock composition and different hydraulic retention times

Simultaneously monitoring aquatic and riparian biodiversity using riverine water eDNA

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