Acetoclastic methanogenesis led by Methanosarcina in anaerobic co-digestion of fats, oil and grease for enhanced production of methane

Kurade, Mayur B.; Saha, Shouvik; Salama, El-Sayed; Patil, Swapnil M.; Govindwar, Sanjay P.

doi:10.1016/j.biortech.2018.10.047

Cited by 237 publications

(48 citation statements)

References 49 publications

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“…Lag time was higher ( p < 0.001) for CO than SO. Fat, oils and grease have negative effects on rumen fermentation, which are associated with the inhibition of microbial activity, particularly microorganism methanogenic activity [ 52 ]. It has been mentioned for many years that oil supplementation, particularly with unsaturated oils, affects and modifies the microbial activity of the rumen, which is involved in cellulose degradation.…”

Section: Resultsmentioning

confidence: 99%

Effects of Calcium Soaps from Palm, Canola and Safflower Oils on Dry Matter Intake, Nutrient Digestibility, Milk Production, and Milk Composition in Dairy Goats

Vargas‐Bello‐Pérez

Jiménez

Ayala-Hernández

et al. 2020

Animals

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This study determined the effect of protected dietary oils on dry matter intake (DMI), digestibility and milk production in dairy goats. Nine Saanen goats were used in a 3 × 3 Latin square design with three periods of 25 days. A basal diet based on barley hay and corn silage was supplemented with 2.7% DM of calcium soaps of either palm (PO), canola (CO) or safflower (SO) oils. Data for dry matter intake, nutrient digestibility and milk production was analyzed using the general linear model (GLM) procedure of SAS. Gas production data was analyzed using the procedure of non-linear regression analysis (PROC NLIN) from SAS. Nutrient intakes were not affected by treatments. However, compared with CO, the digestibility of dry matter (653 vs. 552 and 588 g/kg), organic matter (663 vs. 559 and 606 g/kg) and neutral detergent fiber (616 vs. 460 and 510 g/kg) were lowered (p < 0.001) by SO and PO. Compared with CO, in vitro gas production increased (p < 0.001) in PO and SO (174 vs. 201 and 206 mL gas/g incubated DM). Compared with PO and CO, milk production increased (p < 0.001) with SO (0.88 and 0.95 vs. 1.10 kg/d, respectively). With regard to PO and SO, CO decreased fat (34 and 35 vs. 32 g/d) and protein (35 and 38 vs. 30 g/d) in milk. In conclusion, compared to the traditional use of calcium soaps manufactured from PO, protected SO resulted in increased milk yield without negative effects on digestibility and nutrient intake.

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Section: Resultsmentioning

confidence: 99%

Effects of Calcium Soaps from Palm, Canola and Safflower Oils on Dry Matter Intake, Nutrient Digestibility, Milk Production, and Milk Composition in Dairy Goats

Vargas‐Bello‐Pérez

Jiménez

Ayala-Hernández

et al. 2020

Animals

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“…Furthermore, GOM Arc I were positively correlated to higher sediment surface areas (i.e., smaller particle sizes) that might lead to more anaerobic niches within those sites. Methanobacteriaceae and, the metabolically and physiologically versatile Methanosarcinaceae [43], which were also negatively correlated with geographical latitude (Fig. S2).…”

Section: 22methane Oxidizing Microorganismsmentioning

confidence: 93%

Abundance and biogeography of methanogenic and methanotrophic microorganisms across European streams

Nagler

Praeg

Niedrist

et al. 2019

Preprint

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Background: Globally, streams emit significant amounts of methane, a highly potent greenhouse gas. However, little is known about the stream sediment microbial communities that control the net methane balance in these systems, and in particular about their distribution and composition at large spatial scales. This study investigated the diversity and abundance of methanogenic archaea and methane-oxidizing microorganisms across 16 European streams (from northern Spain to northern Sweden and from western Ireland to western Bulgaria) via 16S rRNA gene sequencing and qPCR. Furthermore, it examined environmental factors influencing both abundance and community composition and explored the link to measured potential methane production and oxidation rates of the respective sediments. Results: Our results demonstrated that the methanogenic and methanotrophic microbiomes of the studied European streams were linked to both the temperature and degree of anthropogenic alteration. The microbiomes could be separated into two to three groups according to environmental factors at both stream and catchment scales. Main methanogenic taxa found within more anthropogenically-altered, warm, and oxygen-poor environments were either Methanospirillum spp. or members of the families Methanosarcinaceae and Methanobacteriaceae . Within such environments, methane oxidizing communities were strongly characterized by members of the family Methylobacteriaceae ( Meganema spp. and Microvirga spp.). Contrastingly, communities in colder environments rich in oxygen and with relatively little anthropogenic impact at the catchment scale were characterized by the methanogenic Methanosaetaceae , Methanocellaceae and Methanoregulaceae and the methanotrophic Methyloglobulus spp ., members of the CABC2E06 group (all Methylococcaceae ) and by various Candidatus Methanoperedens. Overall, diversity of methanogenic archaea increased with increasing water temperature. Methane oxidizing communities showed higher diversities in southern sampling sites and in streams with larger stream areas and widths. Potential methane production rates significantly increased with increasing abundance of methanogenic archaea, while potential methane oxidation rates did not show significant correlations with abundances of methane oxidizing bacteria, presumably due to the more diverse physiological capabilities of this group. Conclusions: We present the first large scale overview of the large-scale microbial biogeography of two microbial groups driving the methane cycle dynamics within stream sediments and deduce the impact that future anthropogenic alterations may cause.

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“…For example, the observed correlation between CC1 and the methanogenic acetoclastic activity may be the product of a Methanosarcina species (OTU 6 in S2 Table), which showed preference for the fish substrate. Methanosarcina grows predominantly on acetoclastic methanogenesis when it is provided by fats, oil, and grease [16] (all present in fish waste). On the other hand, the more prominent hydrogenotrophic profile in 100% WAS-digesters may be derived from the presence of Coprothermobacterales, since they are important hydrogen producers [27].…”

Section: Plos Onementioning

confidence: 99%

“…Datasets containing 16S rRNA sequence counts are usually large, sparse, and over-dispersed [13]. To reduce the complexity of the study, several approaches are commonly pursued: to analyze only those OTUs found above an abundance threshold (i.e., 1% of the total abundance [14]), to analyze Archaea and Bacteria separately [15], and even by carrying out directed analyses on the less abundant populations (i.e., comparing populations of Methanosarcina with Methanosaeta [16]). However, none of these three approaches allows for a complete data exploration, as they do not take into account the potential relationships (i.e., between Archaea and Bacteria, and between the dominant and the subdominant micro-organisms) in the ADs.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the microbial interplay during anaerobic co-digestion of wastewater sludge using common components analysis

et al. 2020

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Anaerobic digestion (AD) is used to minimize solid waste while producing biogas by the action of microorganisms. To give an insight into the underlying microbial dynamics in anaerobic digesters, we investigated two different AD systems (wastewater sludge mixed with either fish or grass waste). The microbial activity was characterized by 16S RNA sequencing. 16S data is sparse and dispersed, and existent data analysis methods do not take into account this complexity nor the potential microbial interactions. In this line, we proposed a data pre-processing pipeline addressing these issues while not restricting only to the most abundant microorganisms. The data were analyzed by Common Components Analysis (CCA) to decipher the effect of substrate composition on the microorganisms. CCA results hinted the relationships between the microorganisms responding similarly to the AD physicochemical parameters. Thus, in overall, CCA allowed a better understanding of the inter-species interactions within microbial communities.

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Acetoclastic methanogenesis led by Methanosarcina in anaerobic co-digestion of fats, oil and grease for enhanced production of methane

Cited by 237 publications

References 49 publications

Effects of Calcium Soaps from Palm, Canola and Safflower Oils on Dry Matter Intake, Nutrient Digestibility, Milk Production, and Milk Composition in Dairy Goats

Effects of Calcium Soaps from Palm, Canola and Safflower Oils on Dry Matter Intake, Nutrient Digestibility, Milk Production, and Milk Composition in Dairy Goats

Abundance and biogeography of methanogenic and methanotrophic microorganisms across European streams

Assessment of the microbial interplay during anaerobic co-digestion of wastewater sludge using common components analysis

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