Abstract
To move towards a circular bioeconomy, sustainable strategies for the utilization of renewable, non-food biomass wastes such as lignocellulose, are needed. To this end, an efficient bioconversion of D-xylose – after D-glucose the most abundant sugar in lignocellulose – is highly desirable. Most standard organisms used in biotechnology are limited in metabolising D-xylose, and also in vitro enzymatic strategies for its conversion have not been very successful. We herein discuss that bioconversion of D-xylose is mostly hampered by missing knowledge on the kinetic properties of the enzymes involved in its metabolism. We propose a combination of classical enzyme characterizations and mathematical modelling approaches as a workflow for rational, model-based design to optimize enzyme cascades and/or whole cell biocatalysts for efficient D-xylose metabolism.
| Original language | English |
|---|---|
| Pages (from-to) | 55-60 |
| Number of pages | 6 |
| Journal | Current Opinion in Biotechnology |
| Volume | 74 |
| Early online date | 15 Nov 2021 |
| DOIs | |
| Publication status | Published - Apr 2022 |
Bibliographical note
Funding Information:L.S. C.B. and B.S. acknowledge funding by MERCURPr-2013-0010. L.S. C.B. J.S. and B.S. acknowledge funding by the Federal Ministry of Education and Research (BMBF) grant HotSysAPP, 031L0078A within the eBio (2) funding initiative. J.S. acknowledges funding from the DST/NRF, particularly for funding the SARCHI initiative (NRF-SARCHI-82813).
Funding Information:
L.S., C.B. and B.S. acknowledge funding by MERCUR Pr-2013-0010 . L.S., C.B., J.S. and B.S. acknowledge funding by the Federal Ministry of Education and Research (BMBF) grant HotSysAPP , 031L0078A within the eBio (2) funding initiative. J.S. acknowledges funding from the DST / NRF , particularly for funding the SARCHI initiative ( NRF-SARCHI-82813 ).
Publisher Copyright:
© 2021 Elsevier Ltd
Funding
L.S. C.B. and B.S. acknowledge funding by MERCURPr-2013-0010. L.S. C.B. J.S. and B.S. acknowledge funding by the Federal Ministry of Education and Research (BMBF) grant HotSysAPP, 031L0078A within the eBio (2) funding initiative. J.S. acknowledges funding from the DST/NRF, particularly for funding the SARCHI initiative (NRF-SARCHI-82813). L.S., C.B. and B.S. acknowledge funding by MERCUR Pr-2013-0010 . L.S., C.B., J.S. and B.S. acknowledge funding by the Federal Ministry of Education and Research (BMBF) grant HotSysAPP , 031L0078A within the eBio (2) funding initiative. J.S. acknowledges funding from the DST / NRF , particularly for funding the SARCHI initiative ( NRF-SARCHI-82813 ).