Metabolic capabilities of Actinobacillus succinogenes for succinic acid production

Rafieenia, Razieh

doi:10.1590/0104-6632.20140314s00002997

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…The post-genomic metabolic modeling studies are shown in Table 2. Rafieenia developed the metabolic model of A. succinogenes composed of 27 reactions and 28 metabolites with a sugar mixture of glucose and xylose by applying MFA via a computational technique [81]. Furthermore, constrained [88] and dynamic [90] MFA methods were employed to determine flux ranges and maximum productivity in A. succinogenes metabolism, respectively.…”

Section: Attempts At Metabolic Modeling Of a Succinogenesmentioning

confidence: 99%

Insights on the Advancements of In Silico Metabolic Studies of Succinic Acid Producing Microorganisms: A Review with Emphasis on Actinobacillus succinogenes

et al. 2021

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Succinic acid (SA) is one of the top candidate value-added chemicals that can be produced from biomass via microbial fermentation. A considerable number of cell factories have been proposed in the past two decades as native as well as non-native SA producers. Actinobacillus succinogenes is among the best and earliest known natural SA producers. However, its industrial application has not yet been realized due to various underlying challenges. Previous studies revealed that the optimization of environmental conditions alone could not entirely resolve these critical problems. On the other hand, microbial in silico metabolic modeling approaches have lately been the center of attention and have been applied for the efficient production of valuable commodities including SA. Then again, literature survey results indicated the absence of up-to-date reviews assessing this issue, specifically concerning SA production. Hence, this review was designed to discuss accomplishments and future perspectives of in silico studies on the metabolic capabilities of SA producers. Herein, research progress on SA and A. succinogenes, pathways involved in SA production, metabolic models of SA-producing microorganisms, and status, limitations and prospects on in silico studies of A. succinogenes were elaborated. All in all, this review is believed to provide insights to understand the current scenario and to develop efficient mathematical models for designing robust SA-producing microbial strains.

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Section: Attempts At Metabolic Modeling Of a Succinogenesmentioning

confidence: 99%

Insights on the Advancements of In Silico Metabolic Studies of Succinic Acid Producing Microorganisms: A Review with Emphasis on Actinobacillus succinogenes

et al. 2021

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“…Nature of carbon source is a significant factor directly affecting metabolic fluxes, succinic acid yields and byproduct formation, as also influencing biotechnological process economics. Metabolic engineering produces industrial A. succinogenes strains, redirecting carbon flux towards succinate pathway instead of acetate and formate (Rafieenia, 2014). Mixed substrates, e.g.…”

Section: St Generation Biomassmentioning

confidence: 99%

“…Mixed substrates, e.g. xylose and glucose (Rafieenia, 2014), or fructose and glucose (Wang et al, 2011) for succinate, have often a positive influence on microbial production, basing on the principle of auxiliary carbon. Actinobacillus succinogenes overproduces succinic acid, from cheap feedstock glycerol using an external electron acceptor, e.g.…”

Section: St Generation Biomassmentioning

confidence: 99%

Carbon Sources for Biomass, Food, Fossils, Biofuels and Biotechnology - Review Article

Anastassiadis¹

2016

World J. Biol. Biotechnol.

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Carbon atom Carbon atom is most important and abundant constituent of existing and new generated biological mater and biomass and the basis of all forms of life on earth. It is involved in the composition and construction of organic micro- and macromolecules, cells and living organisms, storage molecules, fossils, fossil fuels, biofuels and energy resources of living and nonliving organic matter. Initially originated from atmospheric carbon dioxide, it is absorbed and incorporated into organic molecules by photosynthetic plants and microorganisms through photosynthetic processes to form glucose and other less or more complex organic molecules, enabling and sustaining life on Earth. A semantic part of CO2 has been captured, trapped and immobilized in various forms of fossils, not participating in biogeochemical carbon cycles for millions of years, or is dissolved in oceans. Carbon sources is also one of most important parameters, strongly influencing microbial growth and the accumulation of cellular metabolites, fermentation technologies, process economics and feasibility of industrial production. Advanced developments in recombinant technologies, such as metabolic and genetic engineering, systems and synthetic biology, as well as in bioengineering, biotechnology, industrial microbiology and fermentation technology will expand the opportunities of literally unseen microbial world.

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“…This model is intermediate in scale between a central carbon metabolism and a genome-scale metabolic model. While the model of Rafieenia [ 16 ] and other existing models proposed by McKinlay et al [ 3 , 4 , 6 , 8 ] focus on the central carbon metabolism, our model includes pathways for the major biomass components including amino acids, RNA, DNA, glycogen and lipids. Thus, our model can be termed as a comprehensive carbon metabolism model and not a genome scale model, since we do not explicitly include all the known metabolic pathways in A .…”

Section: Introductionmentioning

confidence: 99%

Prediction of reaction knockouts to maximize succinate production by Actinobacillus succinogenes

Nag¹,

John²,

Crowley³

et al. 2018

PLoS ONE

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Succinate is a precursor of multiple commodity chemicals and bio-based succinate production is an active area of industrial bioengineering research. One of the most important microbial strains for bio-based production of succinate is the capnophilic gram-negative bacterium Actinobacillus succinogenes, which naturally produces succinate by a mixed-acid fermentative pathway. To engineer A. succinogenes to improve succinate yields during mixed acid fermentation, it is important to have a detailed understanding of the metabolic flux distribution in A. succinogenes when grown in suitable media. To this end, we have developed a detailed stoichiometric model of the A. succinogenes central metabolism that includes the biosynthetic pathways for the main components of biomass-namely glycogen, amino acids, DNA, RNA, lipids and UDP-N-Acetyl-α-D-glucosamine. We have validated our model by comparing model predictions generated via flux balance analysis with experimental results on mixed acid fermentation. Moreover, we have used the model to predict single and double reaction knockouts to maximize succinate production while maintaining growth viability. According to our model, succinate production can be maximized by knocking out either of the reactions catalyzed by the PTA (phosphate acetyltransferase) and ACK (acetyl kinase) enzymes, whereas the double knockouts of PEPCK (phosphoenolpyruvate carboxykinase) and PTA or PEPCK and ACK enzymes are the most effective in increasing succinate production.

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Metabolic capabilities of Actinobacillus succinogenes for succinic acid production

Cited by 4 publications

References 20 publications

Insights on the Advancements of In Silico Metabolic Studies of Succinic Acid Producing Microorganisms: A Review with Emphasis on Actinobacillus succinogenes

Insights on the Advancements of In Silico Metabolic Studies of Succinic Acid Producing Microorganisms: A Review with Emphasis on Actinobacillus succinogenes

Carbon Sources for Biomass, Food, Fossils, Biofuels and Biotechnology - Review Article

Prediction of reaction knockouts to maximize succinate production by Actinobacillus succinogenes

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