Evaluating Factors That Influence Microbial Synthesis Yields by Linear Regression with Numerical and Ordinal Variables

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dc.contributor.author Colletti, Peter F.
dc.contributor.author Goyal, Yogesh
dc.contributor.author Varman, Arul M.
dc.contributor.author Feng, Xueyang
dc.contributor.author Wu, Bing
dc.contributor.author Tang, Yinjie J.
dc.date.accessioned 2014-03-15T12:32:13Z
dc.date.available 2014-03-15T12:32:13Z
dc.date.issued 2011-04
dc.identifier.citation Goyal, Yogesh et al., “Evaluating factors that influence microbial synthesis yields by linear regression with numerical and ordinal variables”, Biotechnology and Bioengineering, DOI: 10.1002/bit.22996, vol. 108, no. 4, pp. 893–901, 2011. en_US
dc.identifier.issn 0006-3592
dc.identifier.uri http://dx.doi.org/10.1002/bit.22996
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/738
dc.description.abstract In the production of chemicals via microbial fermentation, achieving a high yield is one of the most important objectives. We developed a statistical model to analyze influential factors that determine product yield by compiling data obtained from engineered Escherichia coli developed within last 10 years. Using both numerical and ordinal variables (e.g., enzymatic steps, cultivation conditions, and genetic modifications) as input parameters, our model revealed that cultivation modes, nutrient supplementation, and oxygen conditions were the three significant factors for improving product yield. Generally, the model showed that product yield decreases as the number of enzymatic steps in the biosynthesis pathway increases (7-9% loss of yield per enzymatic step). Moreover, overexpression of enzymes or removal of competitive pathways (e.g., knockout) does not necessarily result in an amplification of product yield (P-value >0.1), possibly because of limited capacity in the biosynthesis pathway to accommodate an increase in flux. The model not only provides general guidelines for metabolic engineering and fermentation processes, but also allows a priori estimation and comparison of product yields under designed cultivation conditions. en_US
dc.description.statementofresponsibility by Yogesh Goyal et al.,
dc.format.extent Vol. 108, No. 4, pp. 893–901
dc.language.iso en en_US
dc.publisher Biotechnology and Bioengineering en_US
dc.subject Biosynthesis pathways en_US
dc.subject Cultivation conditions en_US
dc.subject Enzymatic steps en_US
dc.subject Genetic modifications en_US
dc.subject Influential factors en_US
dc.subject Input parameter en_US
dc.subject Limited capacity en_US
dc.subject Metabolic engineering en_US
dc.subject Ordinal variables en_US
dc.subject Priori estimation en_US
dc.subject Statistical models en_US
dc.title Evaluating Factors That Influence Microbial Synthesis Yields by Linear Regression with Numerical and Ordinal Variables en_US
dc.type Article en_US
dc.relation.journal Wiley


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