Metabolomics approach for determining potential metabolites correlated with sensory attributes of Melaleuca cajuputi essential oil, a promising flavor ingredient.

Melaleuca cajuputi subsp. cajuputi is one of the Australian Melaleuca species commonly found in Pulau Buru (Maluku, Indonesia). Its oil, the M. cajuputi essential oil (MCEO), has been utilized as the main flavor of the Indonesian functional food, Cajuputs Candy. However, the availability of MCEO is becoming limited. On the other hand, Indonesia has many other potential MCEO sources which can be developed as flavor ingredient. Thus, it is noteworthy to explore these new MCEO sources by studying their sensory characteristics and metabolite profiles. This study was conducted to identify potential metabolites that are correlated to sensory attributes of MCEO by using the metabolomics approach. The metabolite profiles of thirteen MCEOs from different origins were analyzed by gas chromatography-mass spectrometry while sensory analyses on Cajuputs Candy were conducted by difference-from-control and rate-all-that-apply tests. Sixty metabolites from the MCEO were annotated that includes 1,8-cineole, α-terpineol, caryophyllene, α-pinene, and γ-terpinene. Sensory analysis revealed cooling aftertaste and sweet taste as favorable attributes. Further analysis using Orthogonal Partial Least Square indicated that 1,8-cineole and γ-terpinene were correlated with cooling aftertaste, while 1,8-cineole and caryophyllene were also correlated with sweet taste. In contrast, linalool and nerolidol were associated with the feature of the most characteristic manufacturer's products which have unfavorable attributes such as floral, iodophor-like, metallic, and soapy attributes. The identification of these metabolites will be useful for the selection of MCEOs that can potentially be used as flavor.

Accumulation of sugars and nucleosides in response to high salt and butanol stress in 1-butanol producing Synechococcus elongatus.

1-Butanol production using photosynthetic organisms such as cyanobacteria has garnered interest among researchers due to its high potential as a sustainable biofuel. Previously, the cyanobacterium Synechococcus elongatus PCC 7942 was engineered to produce 1-butanol through the introduction of a modified CoA-dependent pathway. S. elongatus strain DC11, a high producer of 1-butanol, was constructed based on metabolomics-assisted strain engineering. DC11 can reach a production titer of 418.7 mg/L in 6 days, cutting the production time in half compared to the previously constructed DC7. Regardless, the final 1-butanol titer of DC11 was still low compared to other microbial hosts. Sensitivity towards 1-butanol of the producing strain has been known as one of main hurdles for improving cyanobacterial production system. Thus, to improve cyanobacterial-based 1-butanol production in the future, we employed the metabolomics approach to study the intrinsic effect of improved 1-butanol productivity in DC11. This study focused on metabolite profiling of DC11 using LC/MS/MS. Results showed that there is an accumulation of disaccharide-P and sucrose/trehalose in DC11 compared to the DC7. These metabolites were previously reported to have a role in salt and alcohol stress response in cyanobacteria and therefore, DC11 was subjected to 0.2 M of NaCl and 1000 mg/L of 1-butanol for further investigation. DC11 with stress treatment showed a more prominent accumulation of sugars and nucleosides compared to control. The results obtained from this study may be beneficial for future strain improvement strategies in S. elongatus, particularly addressing the metabolic response of this strain upon 1-butanol stress.

Iterative cycle of widely targeted metabolic profiling for the improvement of 1-butanol titer and productivity in Synechococcus elongatus.

BACKGROUND: Metabolomics is the comprehensive study of metabolites that can demonstrate the downstream effects of gene and protein regulation, arguably representing the closest correlation with phenotypic features. Hence, metabolomics-driven approach offers an effective way to facilitate strain improvement. Previously, targeted metabolomics on the 1-butanol-producing cyanobacterial strain Synechococcus elongatus BUOHSE has revealed the reduction step from butanoyl-CoA to butanal, catalyzed by CoA-acylating propionaldehyde dehydrogenase (PduP), as a rate-limiting step in the CoA-dependent pathway. Moreover, an increase in acetyl-CoA synthesis rate was also observed in this strain, by which the increased rate of release of CoA from butanoyl-CoA was used to enhance formation of acetyl-CoA to feed into the pathway. RESULTS: In the present study, a new strain (DC7) with an improved activity of PduP enzyme, was constructed using BUOHSE as the background strain. DC7 showed a 33% increase in 1-butanol production compared to BUOHSE. For a deeper understanding of the metabolic state of DC7, widely targeted metabolomics approach using ion-pair reversed-phase LC/MS was performed. Results showed a decreased level of butanoyl-CoA and an increased level of acetyl-CoA in DC7 compared to BUOHSE. This served as an indication that the previous bottleneck has been solved and free CoA regeneration increased upon the improvement of the PduP enzyme. In order to utilize the enhanced levels of acetyl-CoA in DC7 for 1-butanol production, overexpression of acetyl-CoA carboxylase (ACCase) in DC7 was performed by inserting the gene encoding an ACCase subunit from Yarrowia lipolytica into the aldA site. The resulting strain, named DC11, was able to reach a production titer of 418.7 mg/L in 6 days, compared to DC7 that approached a similar titer in 12 days. A maximum productivity of 117 mg/L/day was achieved between days 4 and 5 in DC11. CONCLUSIONS: In this study, the iterative cycle of genetic modification based on insights from metabolomics successfully resulted in the highest reported 1-butanol productivity for engineered Synechococcus elongatus PCC 7942.