scholarly journals Searching for Metabolic Pathways of Anaerobic Digestion: A Useful List of the Key Enzymes

2019 ◽  
Author(s):  
Anna Sikora ◽  
Anna Detman ◽  
Damian Mielecki ◽  
Aleksandra Chojnacka ◽  
Mieczysław Błaszczyk
Keyword(s):  
Anaerobic Digestion ◽  
Metabolic Pathways ◽  
Key Enzymes

scholarly journals Total solids content: a key parameter of metabolic pathways in dry anaerobic digestion

2013 ◽  
Vol 6 (1) ◽  
pp. 164 ◽  
Author(s):  
Jean-Charles Motte ◽  
Eric Trably ◽  
Renaud Escudié ◽  
Jérôme Hamelin ◽  
Jean-Philippe Steyer ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Metabolic Pathways ◽  
Total Solids ◽  
Solids Content ◽  
Dry Anaerobic Digestion ◽  
Key Parameter

scholarly journals Enhanced β-carotene production by promoting the multivesicular body (MVB) pathway in Yarrowia lipolytica

2020 ◽  
Author(s):  
Fan Yang ◽  
Liang Liu ◽  
Shan Qiang ◽  
Ching Yuan Hu ◽  
Ying Li ◽  
...  
Keyword(s):  
Protein Level ◽  
Metabolic Pathways ◽  
Multivesicular Body ◽  
Carotene Content ◽  
Key Enzymes ◽  
New Strategy ◽  
Key Genes ◽  
Complex Regulatory Network ◽  
Β Carotene ◽  
Carotene Synthesis

Abstract Background: β-carotene is a precursor of vitamin A and has great commercial value as an additive in foods and feeds. Many pathways not directly related to the β-carotene synthesis affect β-carotene production since the interactions among metabolic fluxes of cells confer a complex regulatory network. Engineered Y. lipolytica strain has excellent potential for β-carotene production as oleaginous yeast. Optimizing indirectly metabolic pathways in Y. lipolytica may offer a new strategy for making the β-carotene production achieve a commercially viable yield.Results: In this study, we found that the proper promotion of the multivesicular body (MVB) sorting pathway elevated the production of β-carotene by 1.58 fold when overexpressing one copy of the Did2 gene in Y. lipolytica. Through the measurement of ATP, NADPH, the mRNA, and protein level of key genes in the β-carotene synthesis pathway, the reason for β-carotene elevated was deuced that the protein level of the key enzymes (tHMG and CarA) was increased. When overexpressing two copies of the Did2 gene, the transcription level of the key genes was all elevated. However, the protein level of key enzymes in the β-carotene synthesis pathway was reduced compared with the overexpressing one copy of the Did2 gene, which resulted in reduced β-carotene content.Conclusion: This study suggests that the MVB sorting pathway is not responsible for sorting protein but has a crucial regulating effect on protein abundance in cells. Engineering the MVB sorting pathway could potentially increase the production of other high-value products. Moreover, manipulation of indirectly related metabolic pathways also is a critical strategy in synthetic biology research.

scholarly journals Untargeted Metabolite Profiling for Screening Bioactive Compounds in Digestate of Manure under Anaerobic Digestion

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2420 ◽  
Author(s):  
Jiaxin Lu ◽  
Atif Muhmood ◽  
Wojciech Czekała ◽  
Jakub Mazurkiewicz ◽  
Jacek Dach ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Bioactive Compounds ◽  
Metabolic Pathways ◽  
Metabolite Profiling ◽  
Swine Manure ◽  
Chicken Manure ◽  
Chemical Characteristics ◽  
Chemical Profiling ◽  
Different Types ◽  
Untargeted Metabolite Profiling

Untargeted metabolite profiling was performed on chicken manure (CHM), swine manure (SM), cattle manure (CM), and their respective digestate by XCMS coupled with MetaboAnalyst programs. Through global chemical profiling, the chemical characteristics of different digestates and types of manure were displayed during the anaerobic digestion (AD) process. As the feed for AD, CM had less easily-degradable organics, SM contained the least O-alkyls and anomerics of carbohydrates, and CHM exhibited relatively lower bio-stability. The derived metabolite pathways of different manure during the AD process were identified by MetaboAnalyst. Twelve, 8, and 5 metabolic pathways were affected by the AD process in CHM, SM, and CM, respectively. Furthermore, bioactive compounds of digestate were detected, such as amino acids (L-arginine, L-ornithine, L-cysteine, and L-aspartate), hormones (L-adrenaline, 19-hydroxy androstenedione, and estrone), alkaloids (tryptamine and N-methyltyramine), and vitamin B5, in different types of manure and their digestates. The combination of XCMS and MetaboAnalyst programs can be an effective strategy for metabolite profiling of manure and its anaerobic digestate under different situations.

Modeling anaerobic digestion metabolic pathways for antibiotic-contaminated wastewater treatment

2020 ◽  
Vol 31 (4-6) ◽  
pp. 341-368
Author(s):  
Rafael Frederico Fonseca ◽  
Guilherme Henrique Duarte de Oliveira ◽  
Marcelo Zaiat
Keyword(s):  
Wastewater Treatment ◽  
Anaerobic Digestion ◽  
Metabolic Pathways

scholarly journals Quantitative Metaproteomics Highlight the Metabolic Contributions of Uncultured Phylotypes in a Thermophilic Anaerobic Digester

2016 ◽  
Vol 83 (2) ◽  
Author(s):  
Live H. Hagen ◽  
Jeremy A. Frank ◽  
Mirzaman Zamanzadeh ◽  
Vincent G. H. Eijsink ◽  
Phillip B. Pope ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Microbial Community ◽  
Anaerobic Digestion ◽  
Metabolic Pathways ◽  
Biogas Production ◽  
Proteomics Data ◽  
Content Type ◽  
Biogas Reactor ◽  
The Impact ◽  
Insight Into

ABSTRACT In this study, we used multiple meta-omic approaches to characterize the microbial community and the active metabolic pathways of a stable industrial biogas reactor with food waste as the dominant feedstock, operating at thermophilic temperatures (60°C) and elevated levels of free ammonia (367 mg/liter NH3-N). The microbial community was strongly dominated (76% of all 16S rRNA amplicon sequences) by populations closely related to the proteolytic bacterium Coprothermobacter proteolyticus. Multiple Coprothermobacter-affiliated strains were detected, introducing an additional level of complexity seldom explored in biogas studies. Genome reconstructions provided metabolic insight into the microbes that performed biomass deconstruction and fermentation, including the deeply branching phyla Dictyoglomi and Planctomycetes and the candidate phylum “Atribacteria.” These biomass degraders were complemented by a synergistic network of microorganisms that convert key fermentation intermediates (fatty acids) via syntrophic interactions with hydrogenotrophic methanogens to ultimately produce methane. Interpretation of the proteomics data also suggested activity of a Methanosaeta phylotype acclimatized to high ammonia levels. In particular, we report multiple novel phylotypes proposed as syntrophic acetate oxidizers, which also exert expression of enzymes needed for both the Wood-Ljungdahl pathway and β-oxidation of fatty acids to acetyl coenzyme A. Such an arrangement differs from known syntrophic oxidizing bacteria and presents an interesting hypothesis for future studies. Collectively, these findings provide increased insight into active metabolic roles of uncultured phylotypes and presents new synergistic relationships, both of which may contribute to the stability of the biogas reactor. IMPORTANCE Biogas production through anaerobic digestion of organic waste provides an attractive source of renewable energy and a sustainable waste management strategy. A comprehensive understanding of the microbial community that drives anaerobic digesters is essential to ensure stable and efficient energy production. Here, we characterize the intricate microbial networks and metabolic pathways in a thermophilic biogas reactor. We discuss the impact of frequently encountered microbial populations as well as the metabolism of newly discovered novel phylotypes that seem to play distinct roles within key microbial stages of anaerobic digestion in this stable high-temperature system. In particular, we draft a metabolic scenario whereby multiple uncultured syntrophic acetate-oxidizing bacteria are capable of syntrophically oxidizing acetate as well as longer-chain fatty acids (via the β-oxidation and Wood-Ljundahl pathways) to hydrogen and carbon dioxide, which methanogens subsequently convert to methane.

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