Metabolic Engineering through Cofactor Manipulation and Its Effects on Metabolic Flux Redistribution in Escherichia coli

Applications of genetic engineering or metabolic engineering have increased in both academic and industrial institutions. Most current metabolic engineering studies have focused on enzyme levels and on the effect of the amplification, addition, or deletion of a particular pathway. Although it is gen...

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Published in:Metabolic engineering Vol. 4; no. 2; pp. 182 - 192
Main Authors: San, Ka-Yiu, Bennett, George N., Berrı́os-Rivera, Susana J., Vadali, Ravi V., Yang, Yea-Tyng, Horton, Emily, Rudolph, Fred B., Sariyar, Berna, Blackwood, Kimathi
Format: Journal Article
Language:English
Published: Belgium Elsevier Inc 01-04-2002
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Abstract Applications of genetic engineering or metabolic engineering have increased in both academic and industrial institutions. Most current metabolic engineering studies have focused on enzyme levels and on the effect of the amplification, addition, or deletion of a particular pathway. Although it is generally known that cofactors play a major role in the production of different fermentation products, their role has not been thoroughly and systematically studied. It is conceivable that in cofactor-dependent production systems, cofactor availability and the proportion of cofactor in the active form may play an important role in dictating the overall process yield. Hence, the manipulation of these cofactor levels may be crucial in order to further increase production. We have demonstrated that manipulation of cofactors can be achieved by external and genetic means and these manipulations have the potential to be used as an additional tool to achieve desired metabolic goals. We have shown experimentally that the NADH/NAD+ ratio can be altered by using carbon sources with different oxidation states. We have shown further that the metabolite distribution can be influenced by a change in the NADH/NAD+ ratio as mediated by the oxidation state of the carbon source used. We have also demonstrated that the total NAD(H/+) levels can be increased by the overexpression of the pncB gene. The increase in the total NAD(H/+) levels can be achieved even in a complex medium, which is commonly used by most industrial processes. Finally, we have shown that manipulation of the CoA pool/flux can be used to increase the productivity of a model product, isoamyl acetate.
AbstractList Applications of genetic engineering or metabolic engineering have increased in both academic and industrial institutions. Most current metabolic engineering studies have focused on enzyme levels and on the effect of the amplification, addition, or deletion of a particular pathway. Although it is generally known that cofactors play a major role in the production of different fermentation products, their role has not been thoroughly and systematically studied. It is conceivable that in cofactor-dependent production systems, cofactor availability and the proportion of cofactor in the active form may play an important role in dictating the overall process yield. Hence, the manipulation of these cofactor levels may be crucial in order to further increase production. We have demonstrated that manipulation of cofactors can be achieved by external and genetic means and these manipulations have the potential to be used as an additional tool to achieve desired metabolic goals. We have shown experimentally that the NADH/NAD(+) ratio can be altered by using carbon sources with different oxidation states. We have shown further that the metabolite distribution can be influenced by a change in the NADH/NAD(+) ratio as mediated by the oxidation state of the carbon source used. We have also demonstrated that the total NAD(H/(+)) levels can be increased by the overexpression of the pncB gene. The increase in the total NAD(H/(+)) levels can be achieved even in a complex medium, which is commonly used by most industrial processes. Finally, we have shown that manipulation of the CoA pool/flux can be used to increase the productivity of a model product, isoamyl acetate.
Applications of genetic engineering or metabolic engineering have increased in both academic and industrial institutions. Most current metabolic engineering studies have focused on enzyme levels and on the effect of the amplification, addition, or deletion of a particular pathway. Although it is generally known that cofactors play a major role in the production of different fermentation products, their role has not been thoroughly and systematically studied. It is conceivable that in cofactor-dependent production systems, cofactor availability and the proportion of cofactor in the active form may play an important role in dictating the overall process yield. Hence, the manipulation of these cofactor levels may be crucial in order to further increase production. We have demonstrated that manipulation of cofactors can be achieved by external and genetic means and these manipulations have the potential to be used as an additional tool to achieve desired metabolic goals. We have shown experimentally that the NADH/NAD super(+) ratio can be altered by using carbon sources with different oxidation states. We have shown further that the metabolite distribution can be influenced by a change in the NADH/NAD super(+) ratio as mediated by the oxidation state of the carbon source used. We have also demonstrated that the total NAD(H/ super(+)) levels can be increased by the overexpression of the pncB gene. The increase in the total NAD(H/ super(+)) levels can be achieved even in a complex medium, which is commonly used by most industrial processes. Finally, we have shown that manipulation of the CoA pool/flux can be used to increase the productivity of a model product, isoamyl acetate.
Author Berrı́os-Rivera, Susana J.
Bennett, George N.
Blackwood, Kimathi
San, Ka-Yiu
Yang, Yea-Tyng
Vadali, Ravi V.
Sariyar, Berna
Horton, Emily
Rudolph, Fred B.
Author_xml – sequence: 1
  givenname: Ka-Yiu
  surname: San
  fullname: San, Ka-Yiu
  organization: Department of Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 2
  givenname: George N.
  surname: Bennett
  fullname: Bennett, George N.
  organization: Department of Biochemistry and Cell Biology, Institute of Biosciences and Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 3
  givenname: Susana J.
  surname: Berrı́os-Rivera
  fullname: Berrı́os-Rivera, Susana J.
  organization: Department of Chemical Engineering, Rice University, Houston, Texas, 77005
– sequence: 4
  givenname: Ravi V.
  surname: Vadali
  fullname: Vadali, Ravi V.
  organization: Department of Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 5
  givenname: Yea-Tyng
  surname: Yang
  fullname: Yang, Yea-Tyng
  organization: Department of Biochemistry and Cell Biology, Institute of Biosciences and Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 6
  givenname: Emily
  surname: Horton
  fullname: Horton, Emily
  organization: Department of Biochemistry and Cell Biology, Institute of Biosciences and Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 7
  givenname: Fred B.
  surname: Rudolph
  fullname: Rudolph, Fred B.
  organization: Department of Biochemistry and Cell Biology, Institute of Biosciences and Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 8
  givenname: Berna
  surname: Sariyar
  fullname: Sariyar, Berna
  organization: Department of Bioengineering, Rice University, Houston, Texas, 77005
– sequence: 9
  givenname: Kimathi
  surname: Blackwood
  fullname: Blackwood, Kimathi
  organization: Department of Biochemistry and Cell Biology, Institute of Biosciences and Bioengineering, Rice University, Houston, Texas, 77005
BackLink https://www.ncbi.nlm.nih.gov/pubmed/12009797$$D View this record in MEDLINE/PubMed
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Snippet Applications of genetic engineering or metabolic engineering have increased in both academic and industrial institutions. Most current metabolic engineering...
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StartPage 182
SubjectTerms Acetyl Coenzyme A - metabolism
Biomedical Engineering
Bioreactors
Carbon - metabolism
Escherichia coli - genetics
Escherichia coli - metabolism
Genes, Bacterial
Genetic Engineering
Models, Biological
NAD - metabolism
Pentosyltransferases - genetics
Pentosyltransferases - metabolism
Title Metabolic Engineering through Cofactor Manipulation and Its Effects on Metabolic Flux Redistribution in Escherichia coli
URI https://dx.doi.org/10.1006/mben.2001.0220
https://www.ncbi.nlm.nih.gov/pubmed/12009797
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