Abstract

Plastic pollution is rapidly increasing worldwide, causing adverse impacts on the environment, wildlife and human health. One tempting solution to this crisis is upcycling plastics into products with engineered microorganisms; however, this remains challenging due to complexity in conversion. Here we present a synthetic microbial consortium that efficiently degrades polyethylene terephthalate hydrolysate and subsequently produces desired chemicals through division of labor. The consortium involves two Pseudomonas putida strains, specializing in terephthalic acid and ethylene glycol utilization respectively, to achieve complete substrate assimilation. Compared with its monoculture counterpart, the consortium exhibits reduced catabolic crosstalk and faster deconstruction, particularly when substrate concentrations are high or crude hydrolysate is used. It also outperforms monoculture when polyhydroxyalkanoates serves as a target product and confers flexible tuning through population modulation for cis-cis muconate synthesis. This work demonstrates engineered consortia as a promising, effective platform that may facilitate polymer upcycling and environmental sustainability.

Plastic pollution is rapidly increasing worldwide, causing adverse impacts on the environment, wildlife and human health. Here the authors present a synthetic microbial consortium that efficiently degrades polyethylene terephthalate hydrolysate and upcycles it to desired chemicals through cellular division of labor.

Details

Title
Engineering microbial division of labor for plastic upcycling
Author
Bao, Teng 1 ; Qian, Yuanchao 1 ; Xin, Yongping 1 ; Collins, James J. 2   VIAFID ORCID Logo  ; Lu, Ting 3   VIAFID ORCID Logo 

 University of Illinois Urbana-Champaign, Department of Bioengineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); University of Illinois Urbana-Champaign, Carl R. Woese Institute for Genomic Biology, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991) 
 Massachusetts Institute of Technology, Department of Biological Engineering and Institute for Medical Engineering & Science, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); Harvard University, Wyss Institute for Biologically Inspired Engineering, Longwood, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Broad Institute of MIT and Harvard, Cambridge, USA (GRID:grid.66859.34) 
 University of Illinois Urbana-Champaign, Department of Bioengineering, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); University of Illinois Urbana-Champaign, Carl R. Woese Institute for Genomic Biology, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); University of Illinois Urbana-Champaign, Center for Biophysics and Quantitative Biology, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); University of Illinois Urbana-Champaign, Department of Physics, Urbana, USA (GRID:grid.35403.31) (ISNI:0000 0004 1936 9991); National Center for Supercomputing Applications, Urbana, USA (GRID:grid.505692.d) (ISNI:0000 0000 9934 8971) 
Pages
5712
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2869052833
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.