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1.
BMC Biotechnol ; 14: 13, 2014 Feb 14.
Artículo en Inglés | MEDLINE | ID: mdl-24529074

RESUMEN

BACKGROUND: Efficiently utilizing all available carbon from lignocellulosic feedstock presents a major barrier to the production of economically feasible biofuel. Previously, to enable xylose utilization, we introduced a cofactor-dependent xylose reductase (XR) and xylitol dehydrogenase (XDH) pathway, or a cofactor-independent xylose isomerase (XI) pathway, into Saccharomyces cerevisiae. The resulting strains metabolized xylose with high efficiency. However, in both pathway recombinant strains, the cofactor imbalance caused accumulation of the byproducts glycerol and/or xylitol and reduced the ethanol production efficiency. RESULTS: In this study, we introduced NADH oxidase from Lactococcus lactis into both XI and XR-XDH pathway recombinant strains. To reduce byproduct accumulation while maintaining xylose metabolism, we optimized the expression level of NADH oxidase by comparing its expression under the control of different promoters and plasmids. In recombinant XI strains, NADH oxidase was expressed at different levels, regulated by the GPD2 promoter or TEF1 promoter in the 2 µ plasmid. The expression under the control of GPD2 promoter decreased glycerol production by 84% and increased the ethanol yield and specific growth rate by 8% and 12%, respectively. In contrast, in the recombinant XR-XDH strains, such expression level was not efficient enough to decrease the byproduct accumulation. Therefore, higher NADH oxidase expression levels were tested. In the strain expressing NADH oxidase under the control of the TEF1 promoter in the centromeric plasmids, xylitol and glycerol production were reduced by 60% and 83%, respectively, without significantly affecting xylose consumption. CONCLUSIONS: By fine-tuning NADH oxidase expression, we decreased the glycerol or/and xylitol production in both recombinant XI and XR-XDH xylose-metabolizing yeast strains. The optimal NADH oxidase expression levels depend on metabolic pathways. Similar cofactor engineering strategies could maximize the production of other redox dependent metabolites.


Asunto(s)
Etanol/metabolismo , Microbiología Industrial/métodos , Complejos Multienzimáticos/metabolismo , NADH NADPH Oxidorreductasas/metabolismo , Saccharomyces cerevisiae/metabolismo , Xilosa/metabolismo , Fermentación , Ingeniería Genética/métodos , Glicerol/metabolismo , Lactococcus lactis/enzimología , Redes y Vías Metabólicas , Plásmidos , Regiones Promotoras Genéticas , Saccharomyces cerevisiae/genética
2.
Anal Biochem ; 442(2): 241-8, 2013 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-23928049

RESUMEN

It has been considered that more efficient uptake of xylose could promote increased xylose metabolic capacity of several microorganisms. In this study, an assay to screen xylose transporters was established in the Saccharomyces cerevisiae strain, which expresses the xylosidase gene of Bacillus pumilus intracellularly. The absorbed xylose analog p-nitrophenyl-ß-d-xylopyranoside (pNPX) rapidly hydrolyzed to p-nitrophenol (pNP), which displayed a yellow tint when exposed to xylosidase in vivo. The xylose transporter activities of the strain were computed using the pNP production rate, which was detected extracellularly. This method could be used for both high-throughput screening and smaller scale investigations. AraEp, which is a pentose transporter of Corynebacterium glutamicum, was expressed in S. cerevisiae and exhibited better transport capacity than the endogenous transporters Hxt7p and Gal2p. Moreover, a mutant of AraEp with 103% greater transport capacity was screened out, and the computer simulation suggested that transmembrane domain 5 was an important factor for the transport capacity of AraEp in S. cerevisiae.


Asunto(s)
Bioensayo/métodos , Proteínas de Transporte de Membrana/metabolismo , Proteínas de Saccharomyces cerevisiae/metabolismo , Saccharomyces cerevisiae/metabolismo , Xilosa/metabolismo , Bacillus/enzimología , Bacillus/genética , Secuencia de Bases , Transporte Biológico , Membrana Celular/metabolismo , Espacio Intracelular/metabolismo , Proteínas de Transporte de Membrana/genética , Saccharomyces cerevisiae/citología , Saccharomyces cerevisiae/genética , Proteínas de Saccharomyces cerevisiae/genética , Xilosidasas/genética , Xilosidasas/metabolismo
3.
Front Bioeng Biotechnol ; 8: 611701, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33490054

RESUMEN

Microbial production of commodity chemicals has gained increasing attention and most of the focus has been on reducing the production cost. Selecting a suitable microorganism, which can grow rapidly on cheap feedstocks, is of key importance when developing an economically feasible bioprocess. We chose Lactococcus lactis, a well-characterized lactic acid bacterium, as our microbial host to produce pyruvate, which is a commodity chemical with various important applications. Here we report the engineering of Lactococcus lactis into becoming an efficient microbial platform for producing pyruvate. The strain obtained, FS1076 (MG1363 Δ3 ldh Δpta ΔadhE Δals), was able to produce pyruvate as the sole product. Since all the competitive pathways had been knocked out, we achieved growth-coupled production of pyruvate with high yield. More than 80 percent of the carbon flux was directed toward pyruvate, and a final titer of 54.6 g/L was obtained using a fed-batch fermentation setup. By introducing lactose catabolism into FS1076, we obtained the strain FS1080, which was able to generate pyruvate from lactose. We then demonstrated the potential of FS1080 for valorizing lactose contained in dairy side-streams, by achieving a high titer (40.1 g/L) and high yield (78.6%) of pyruvate using residual whey permeate (RWP) as substrate. The results obtained, show that the L. lactis platform is well-suited for transforming lactose in dairy waste into food-grade pyruvate, and the yields obtained are the highest reported in the literature. These results demonstrate that it is possible to achieve sustainable bioconversion of waste products from the dairy industry (RWP) to valuable products.

4.
Biomed Res Int ; 2013: 461204, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-24195072

RESUMEN

The L-arabinose utilization pathway was established in Saccharomyces cerevisiae, by expressing the codon-optimized araA, araB, and araD genes of Lactobacillus plantarum. After overexpressing the TAL1, TKL1, RPE1, RKI1, and GAL2 genes and adaptive evolution, the L-arabinose utilization of the recombinant strain became efficient. The resulting strain displayed a maximum specific growth rate of 0.075 h(-1), a maximum specific L-arabinose consumption rate of 0.61 g h(-1) g(-1) dry cell weight, and a promising ethanol yield of 0.43 g g(-1) from L-arabinose fermentation.


Asunto(s)
Arabinosa/genética , Etanol/síntesis química , Redes y Vías Metabólicas/genética , Saccharomyces cerevisiae/metabolismo , Arabinosa/metabolismo , Transporte Biológico , Fermentación , Glucosa/química , Lactobacillus plantarum/genética , Ingeniería Metabólica , Saccharomyces cerevisiae/genética
5.
Chinese Journal of Zoonoses ; (12): 916-919, 2017.
Artículo en Zh | WPRIM | ID: wpr-667727

RESUMEN

We typed Yersinia pestis isolated from plague foci of Shaanxi Province using different region (DFR) and analyzed epidemiological characteristics.Twenty-three DFRs primers and PMT1 (plasmid) primer were used to verify the DFR genomovars and 48 Yersinia pestis were involved to analyze DFR profiles and epidemiological characteristics.In the same year,the genotypes of Yersinia pestis isolated from different infected vector and animals were basically the same.Three genomovars named Genomovar 11,17,and 20 were verified in 48 Yersinia pestis strains in Shaanxi Province.The main genotypes were different in different epidemic years.In 1987-1988 and 2000-2001 years,genomovar 17 was major genomovar and genomovar 20 in 2006 year.In conclusion,the dominant genotypes were different in different epidemic years.As time goes on,DFR genomovars of Yersinia pestis undergone the evolution of gene deletion,which changes genomovar 17 into genomovar 20.

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