| Literature DB >> 26979567 |
Nan Jia1,2, Ming-Zhu Ding1,2, Jin Du1,2, Cai-Hui Pan1,2, Geng Tian3, Ji-Dong Lang3, Jian-Huo Fang3, Feng Gao1,2,4, Ying-Jin Yuan1,2.
Abstract
Ketogulonicigenium vulgare has been widely used in vitamin C two steps fermentation and requires companion strain for optimal growth. However, the understanding of K. vulgare as well as its companion strain is still preliminary. Here, the complete genome of K. vulgare Hbe602 was deciphered to provide insight into the symbiosis mechanism and the versatile metabolism. K. vulgare contains the LuxR family proteins, chemokine proteins, flagellar structure proteins, peptides and transporters for symbiosis consortium. Besides, the growth state and metabolite variation of K. vulgare were observed when five carbohydrates (D-sorbitol, L-sorbose, D-glucose, D-fructose and D-mannitol) were used as carbon source. The growth increased by 40.72% and 62.97% respectively when K. vulgare was cultured on D-mannitol/D-sorbitol than on L-sorbose. The insufficient metabolism of carbohydrates, amino acids and vitamins is the main reason for the slow growth of K. vulgare. The combined analysis of genomics and metabolomics indicated that TCA cycle, amino acid and nucleotide metabolism were significantly up-regulated when K. vulgare was cultured on the D-mannitol/D-sorbitol, which facilitated the better growth. The present study would be helpful to further understand its metabolic structure and guide the engineering transformation.Entities:
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Year: 2016 PMID: 26979567 PMCID: PMC4793288 DOI: 10.1038/srep23068
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Comparative genomic analysis of the difference among K. vulgare Hbe602, WSH-001 and Y25.
The chromosome of K. vulgare Hbe602 was used in comparison, the differences with WSH-001 and Y25 were labeled in the red dots and yellow dots, respectively.
Figure 2Growth state of K. vulgare Hbe602 in different carbon sources.
(A) Growth curve the K. vulgare Hbe602 strain grown in seed medium with different carbon source (L-sorbose, D-sorbitol, D-mannitol, D-glucose and D-fructose). The Y axis represents the average OD600nm at each time point; (B) Extracellular concentration of different carbohydrates.
Figure 3Statistics analysis of the metabolite distribution among different samples.
(A) Scores plot of the samples; (B) Loading plot of the samples; (C) Heat map of metabolite expressions in different samples.
Figure 4Changes of detected intermediates in different carbon sources.
(A) Related acid production; (B) Glycolysis and tricarboxylic acid cycle; (C) Amino acids; (D) Others. The relative abundance was calculated by normalization of peak area of each metabolite to internal standard, and the error bars showed the standard deviations of four replicates.