Metabolic strategies for microbial glycerol overproduction

Lim, Chanyuen; Lin, Annette Luhe; Zhao, Hua

doi:10.1002/jctb.5465

Cited by 6 publications

(9 citation statements)

References 35 publications

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“…It is used on a large scale in the pharmaceutical and cosmetic industries, by the paints and dyes industry as a raw material for the synthesis of many chemical compounds (e.g. nitroglycerin, polymers), and in biosurfactants (Taherzadeh et al, 2002;Lim et al, 2018). With an increase in demand for fuels obtained from biomass the amount of glycerine waste is increasing.…”

Section: Introductionmentioning

confidence: 99%

Glycerin as a factor for moderating quality changes in table eggs during storage

et al. 2018

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Abstract. Glycerol, a by-product of biodiesel production, is non-toxic to humans and the environment. With the current increase in the demand for fuels obtained from biomass, the amount of glycerine waste production is increasing. There are many ways to dispose this substance (in pharmaceuticals, cosmetics, and in chemical industry), but its utilization is still insufficient. Therefore, the aim of this study was to assess the possibility of limiting quality changes in table eggs during storage by coating the shells with a glycerol solution. The material used in this research consisted of 270 table chicken eggs collected on the same day. On the first day of the experiment, quality traits of 30 eggs were evaluated (initial control group). The remaining 240 eggs were divided into two equal groups: control (eggs that were not subjected to any treatment) and experimental (eggs that were coated with a 5 % aqueous solution of glycerol). The eggs were placed on transport trays and stored at 14 • C and 70 % humidity. Quality evaluations were carried out after 14 and 28 days of storage. The depth of the air cell, mass and specific gravity of the egg, the shell characteristics (water vapour conductance, strength, mass, thickness, and density), and the content traits (pH of the albumen and yolk, Haugh units, and colour and weight of the yolk) were evaluated. The results obtained suggest that the use of glycerine may contribute to slowing adverse changes in egg quality during storage by limiting CO 2 removal from the egg content, which allows the egg to maintain albumen structure. Due to the fact that glycerine is a safe, cheap, and easy-to-apply substance, its large-scale use in poultry raw material storage seems to be a very real possibility.

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Section: Introductionmentioning

confidence: 99%

Glycerin as a factor for moderating quality changes in table eggs during storage

et al. 2018

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“…As described in the introduction, cells of E. coli are not known to form and excrete glycerol when growing on glucose [ 38 , 39 ]. As we showed that GL3/pJF119 fsaA A129S ( Figure 5 ), and to a lesser extent also GL4 ( Table 4 ), excrete DHA during growth on glucose, we intended to stop the observed catabolism of DHA in order to favor DHA and glycerol formation from sugars.…”

Section: Resultsmentioning

confidence: 99%

“…DHA is an ingredient in many self-tanning compounds and glycerol is a carbon source which has received much attention as it can be used for production of many added-value compounds (for references see [ 36 ]). In contrast to other microorganisms such as yeast [ 37 ], cells of E. coli are not known to form and excrete glycerol when growing on glucose [ 38 , 39 ]. By introduction of genes from yeast which encode enzymes for the conversion of DHAP to glycerol, however, E. coli glycerol producers had been constructed [ 40 , 41 , 42 , 43 ]; eventually this has led to recombinant E. coli cells forming 1,3-propanediol from glucose via the intermediate glycerol.…”

Section: Introductionmentioning

confidence: 99%

Opening a Novel Biosynthetic Pathway to Dihydroxyacetone and Glycerol in Escherichia coli Mutants through Expression of a Gene Variant (fsaAA129S) for Fructose 6-Phosphate Aldolase

Font

Sprenger

2020

IJMS

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Phosphofructokinase (PFK) plays a pivotal role in glycolysis. By deletion of the genes pfkA, pfkB (encoding the two PFK isoenzymes), and zwf (glucose 6-phosphate dehydrogenase) in Escherichia coli K-12, a mutant strain (GL3) with a complete block in glucose catabolism was created. Introduction of plasmid-borne copies of the fsaA wild type gene (encoding E. coli fructose 6-phosphate aldolase, FSAA) did not allow a bypass by splitting fructose 6-phosphate (F6P) into dihydroxyacetone (DHA) and glyceraldehyde 3-phosphate (G3P). Although FSAA enzyme activity was detected, growth on glucose was not reestablished. A mutant allele encoding for FSAA with an amino acid exchange (Ala129Ser) which showed increased catalytic efficiency for F6P, allowed growth on glucose with a µ of about 0.12 h−1. A GL3 derivative with a chromosomally integrated copy of fsaAA129S (GL4) grew with 0.05 h−1 on glucose. A mutant strain from GL4 where dhaKLM genes were deleted (GL5) excreted DHA. By deletion of the gene glpK (glycerol kinase) and overexpression of gldA (of glycerol dehydrogenase), a strain (GL7) was created which showed glycerol formation (21.8 mM; yield approximately 70% of the theoretically maximal value) as main end product when grown on glucose. A new-to-nature pathway from glucose to glycerol was created.

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“…The RPL18A gene encodes a member of the L18AE family of ribosomal proteins, which is a component of the 60S subunit[14]. The TPI1 gene encodes an enzyme composed of two identical proteins that catalyzes the isomerization of glyceraldehyde 3-phosphate (G3P) and dihydroxy-acetone phosphate (DHAP) in glycolysis and gluconeogenesis[15]. Von Willebrand Factor A Domain Containing 5B2 (VWA5B2) is a protein-coding gene.…”

Section: Discussionmentioning

confidence: 99%

Sampling Statistical Errors in Big Data Research: 3 Cases of Breast Cancer Research

Cho

Jeong

2021

Preprint

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Breast cancer is a major cause of female death, and various big data analysis methods have been applied to breast cancer. This study lists cases in which big data analysis was applied to breast cancer research. In addition, statistics and percentages from each specific sample were proposed. However, research on the use of big data has a blind spot that relies on sample characteristics. Therefore, before sampling big data, statistical inference should be discussed more precisely through pre-examination and sample statistical errors should be reduced by professional statistical evaluation of the analysis method.

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Metabolic strategies for microbial glycerol overproduction

Cited by 6 publications

References 35 publications

Glycerin as a factor for moderating quality changes in table eggs during storage

Glycerin as a factor for moderating quality changes in table eggs during storage

Opening a Novel Biosynthetic Pathway to Dihydroxyacetone and Glycerol in Escherichia coli Mutants through Expression of a Gene Variant (fsaAA129S) for Fructose 6-Phosphate Aldolase

Sampling Statistical Errors in Big Data Research: 3 Cases of Breast Cancer Research

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