Back to results

Massachusetts Institute of Technology

Enabling Cl-Based bioconversion with metabolic engineering

Abstract

dc:description.abstract

Single-carbon (C) substrates, such as synthesis gas and methanol, are attractive feedstocks for biochemical processes, as they are widely available, can be produced renewably, and do not compete with food supply. However, their use in industrial bioprocessing remains limited, primarily because microbes that utilize these substrates are poorly characterized biochemically, and limited tools exist for their genetic modification. This leaves the metabolic engineer with a choice: to develop genetic tools to enable engineering in the desired host, or to import the relevant catabolic pathway into a more tractable organism, such as Escherichia coli. This thesis explores both options within the context of developing strains for the conversion of C1 substrates into value-added chemicals and fuels.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Woolston, Benjamin Michael.
Advisor dc:contributor.advisor
  • Gregory Stephanopoulos.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/127713
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/127713

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Woolston, Benjamin Michael.. Enabling Cl-Based bioconversion with metabolic engineering. Massachusetts Institute of Technology, 2017. https://hdl.handle.net/1721.1/127713