Muconic acid production from glucose and xylose in Pseudomonas putida via evolution and metabolic engineering
Muconic acid is a bioprivileged molecule that can be converted into direct replacement chemicals for incumbent petrochemicals and performance-advantaged bioproducts. In this study, Pseudomonas putida KT2440 is engineered to convert glucose and xylose, the primary carbohydrates in lignocellulosic hyd...
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Published in | Nature communications Vol. 13; no. 1; pp. 4925 - 14 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
22.08.2022
Nature Publishing Group Nature Portfolio |
Subjects | |
Online Access | Get full text |
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Summary: | Muconic acid is a bioprivileged molecule that can be converted into direct replacement chemicals for incumbent petrochemicals and performance-advantaged bioproducts. In this study,
Pseudomonas putida
KT2440 is engineered to convert glucose and xylose, the primary carbohydrates in lignocellulosic hydrolysates, to muconic acid using a model-guided strategy to maximize the theoretical yield. Using adaptive laboratory evolution (ALE) and metabolic engineering in a strain engineered to express the D-xylose isomerase pathway, we demonstrate that mutations in the heterologous D-xylose:H
+
symporter (XylE), increased expression of a major facilitator superfamily transporter (PP_2569), and overexpression of
aroB
encoding the native 3-dehydroquinate synthase, enable efficient muconic acid production from glucose and xylose simultaneously. Using the rationally engineered strain, we produce 33.7 g L
−1
muconate at 0.18 g L
−1
h
−1
and a 46% molar yield (92% of the maximum theoretical yield). This engineering strategy is promising for the production of other shikimate pathway-derived compounds from lignocellulosic sugars.
Muconic acid is a platform chemical with wide industrial applicability. Here, the authors report efficient muconate production from glucose and xylose by engineered
Pseudomonas putida
strain using adaptive laboratory evolution, metabolic modeling, and rational strain engineering strategies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 PNNL-SA-168423; NREL/JA-2A00-81804 AC05-76RL01830; AC36-08GO28308; AC05-00OR22725 USDOE Office of Science (SC), Biological and Environmental Research (BER) USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Bioenergy Technologies Office |
ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-022-32296-y |