Actinobacillus succinogenes
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA35467 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| NHRD01.dat.gz | Other | |||
| NHRD01.fasta.gz | Fasta.gz | |||
| NHRD01.master.dat | Other | |||
| SRR097466_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:A succinate-producing bacteria used by the pharmaceutical industry
| PRJNA13370 | ENA
Project description:Actinobacillus succinogenes is one of the most promising strains for succinic acid production; however, the lack of efficient genetic tools for strain modification development hinders its further application. In this study, a markerless knockout method for A. succinogenes using in-frame deletion was first developed. The resulting ?pflA (encode pyruvate formate lyase 1-activating protein) strain displayed distinctive organic acid synthesis capacity under different cultivation modes. Additional acetate accumulation was observed in the ?pflA strain relative to that of the wild type under aerobic conditions, indicating that acetate biosynthetic pathway was activated. Importantly, pyruvate was completely converted to lactate under anaerobic fermentation. The transcription analysis and enzyme assay revealed that the expression level and specific activity of lactate dehydrogenase (LDH) were significantly increased. In addition, the mRNA expression level of ldh was nearly increased 85-fold compared to that of the wild-type strain during aerobic-anaerobic dual-phase fermentation, resulting in 43.05 g/L lactate. These results demonstrate that pflA plays an important role in the regulation of C3 flux distribution. The deletion of pflA leads to the improvement of acetic acid production under aerobic conditions and activates lactic acid biosynthesis under anaerobic conditions. This study will help elaborate the mechanism governing organic acid biosynthesis in A. succinogenes.
| S-EPMC6759810 | biostudies-literature
Project description:A global transcriptome analysis of the natural succinate producer Actinobacillus succinogenes revealed that 353 genes were differentially expressed when grown on various carbon and energy sources, which were categorized into six functional groups. We then analyzed the expression pattern of 37 potential C4 -dicarboxylate transporters in detail. A total of six transporters were considered potential fumarate transporters: three transporters, Asuc_1999 (Dcu), Asuc_0304 (DASS), and Asuc_0270-0273 (TRAP), were constitutively expressed, whereas three others, Asuc_1568 (DASS), Asuc_1482 (DASS), and Asuc_0142 (Dcu), were differentially expressed during growth on fumarate. Transport assays under anaerobic conditions with [14 C]fumarate and [14 C]succinate were performed to experimentally verify that A. succinogenes possesses multiple C4 -dicarboxlayte transport systems with different substrate affinities. Upon uptake of 5 mmol/L fumarate, the systems had substrate specificity for fumarate, oxaloacetate, and malate, but not for succinate. Uptake was optimal at pH 7, and was dependent on both proton and sodium gradients. Asuc_1999 was suspected to be a major C4 -dicarboxylate transporter because of its noticeably high and constitutive expression. An Asuc_1999 deletion (?1999) decreased fumarate uptake significantly at approximately 5 mmol/L fumarate, which was complemented by the introduction of Asuc_1999. Asuc_1999 expressed in Escherichia coli catalyzed fumarate uptake at a level of 21.6 ?mol·gDW-1 ·min-1 . These results suggest that C4 -dicarboxylate transport in A. succinogenes is mediated by multiple transporters, which transport various types and concentrations of C4 -dicarboxylates.
| S-EPMC6011838 | biostudies-literature
Project description: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-?-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.
| S-EPMC5790215 | biostudies-literature
Project description:Actinobacillus succinogenes, a Gram-negative facultative anaerobe, exhibits the native capacity to convert pentose and hexose sugars to succinic acid (SA) with high yield as a tricarboxylic acid (TCA) cycle intermediate. In addition, A. succinogenes is capnophilic, incorporating CO2 into SA, making this organism an ideal candidate host for conversion of lignocellulosic sugars and CO2 to an emerging commodity bioproduct sourced from renewable feedstocks. In this work, we report the development of facile metabolic engineering capabilities in A. succinogenes, enabling examination of SA flux determinants via knockout of the primary competing pathways-namely, acetate and formate production-and overexpression of the key enzymes in the reductive branch of the TCA cycle leading to SA. Batch fermentation experiments with the wild-type and engineered strains using pentose-rich sugar streams demonstrate that the overexpression of the SA biosynthetic machinery (in particular, the enzyme malate dehydrogenase) enhances flux to SA. Additionally, removal of competitive carbon pathways leads to higher-purity SA but also triggers the generation of by-products not previously described from this organism (e.g., lactic acid). The resultant engineered strains also lend insight into energetic and redox balance and elucidate mechanisms governing organic acid biosynthesis in this important natural SA-producing microbe.IMPORTANCE Succinic acid production from lignocellulosic residues is a potential route for enhancing the economic feasibility of modern biorefineries. Here, we employ facile genetic tools to systematically manipulate competing acid production pathways and overexpress the succinic acid-producing machinery in Actinobacillus succinogenes Furthermore, the resulting strains are evaluated via fermentation on relevant pentose-rich sugar streams representative of those from corn stover. Overall, this work demonstrates genetic modifications that can lead to succinic acid production improvements and identifies key flux determinants and new bottlenecks and energetic needs when removing by-product pathways in A. succinogenes metabolism.
| S-EPMC5561298 | biostudies-literature
Project description:BackgroundActinobacillus succinogenes is a promising bacterial catalyst for the bioproduction of succinic acid from low-cost raw materials. In this work, a genome-scale metabolic model was reconstructed and used to assess the metabolic capabilities of this microorganism under producing conditions.ResultsThe model, iBP722, was reconstructed based on the functional reannotation of the complete genome sequence of A. succinogenes 130Z and manual inspection of metabolic pathways, covering 1072 enzymatic reactions associated with 722 metabolic genes that involve 713 metabolites. The highly curated model was effective in capturing the growth of A. succinogenes on various carbon sources, as well as the SA production under various growth conditions with fair agreement between experimental and predicted data. Calculated flux distributions under different conditions show that a number of metabolic pathways are affected by the activity of some metabolic enzymes at key nodes in metabolism, including the transport mechanism of carbon sources and the ability to fix carbon dioxide.ConclusionsThe established genome-scale metabolic model can be used for model-driven strain design and medium alteration to improve succinic acid yields.
| S-EPMC5975692 | biostudies-literature
Project description:Actinobacillus succinogenes 130Z, A1 genome sequencing
| PRJNA337258 | ENA
Project description:Actinobacillus succinogenes 130Z, C1 genome sequencing
| PRJNA337261 | ENA
Project description:Actinobacillus succinogenes 130Z, G1 genome sequencing
| PRJNA337264 | ENA
Project description:Actinobacillus succinogenes 130Z, H1 genome sequencing
| PRJNA337265 | ENA