TY - JOUR
T1 - Plant-wide systems microbiology for the wastewater industry
AU - Cerruti, Marta
AU - Guo, Bing
AU - Delatolla, Robert
AU - De Jonge, Nadieh
AU - Hommes-De Vos Van Steenwijk, Aleida
AU - Kadota, Paul
AU - Lawson, Christopher E.
AU - Mao, Ted
AU - Oosterkamp, Margreet J.
AU - Sabba, Fabrizio
AU - Stokholm-Bjerregaard, Mikkel
AU - Watson, Ian
AU - Frigon, Dominic
AU - Weissbrodt, David G.
N1 - Funding Information:
This opinion article initiative was financially supported by a start-up package of the Department of Biotechnology at the TU Delft, The Netherlands (Prof. David G. Weissbrodt) and by internal fund at McGill University, Canada (Prof. Dominic Frigon). Prof. Bing Guo was supported by a FRQNT Postdoctoral Research Scholarship B3X, Canada, for research with the TU Delft. This academic-industrial initiative thrived on interactive discussions with the community of microbial ecologists and environmental engineers in three international workshops that we organized over the last five years at the 1st Symposium on Microbiological Methods for Waste and Water Resource Recovery (MMWWRR 2017, Delft, Netherlands), at the IWA Microbial Ecology in Water Engineering & Biofilms Joint Specialist Conference (MEWE 2016, Copenhagen, Denmark), and at the 4th Specialized International Conference on Ecotechnologies for Wastewater Treatment (EcoSTP 2018, London, Ontario, Canada). We thank the conference delegates for their active participation and exchange on the principles motivated by this article.
Publisher Copyright:
© The Royal Society of Chemistry.
PY - 2021/10
Y1 - 2021/10
N2 - The wastewater treatment sector embraces mixed-culture biotechnologies for sanitation, environmental protection, and resource recovery. Bioprocess design, monitoring and control thrive on microbial processes selected in complex microbial communities. Microbial ecology and systems microbiology help access microbiomes and characterize microorganisms, metabolisms and interactions at increased resolution and throughput. Big datasets are generated from the sequencing of informational molecules extracted from biomasses sampled across process schemes. However, they mostly remain on science benches and computing clusters, without reaching the industry in a clear engineering objective function. A bilateral bridge should actionize this information. As systems microbiologists, we miss that engineering designs and operations rely on stoichiometry and kinetics. The added-value provided by microbial ecology and systems microbiology to improve capital (CAPEX) and operating expenditures (OPEX) needs to be addressed. As engineers, we miss that microbiology can be provide powerful microbial information on top of physical-chemical measurements for quantitative process design (e.g., nutrient removal systems) with detailed scientific description of phenomena inside microbiomes. In this perspective article, we allied academia and industry to address the state of shared knowledge, successes and failures, and to establish joint investigation platforms. Our roadmap involves three milestones to (i) elaborate an essential list of microbiological information needed to implement methods at the process line; (ii) characterize microbiomes from microorganisms to metabolisms, and shape conceptual ecosystem models as primer for process ecology understanding; (iii) bridge engineering and mathematical models with an analytical toolbox for fast- vs. high-throughput analyses to discover new microbial processes and engineer assemblies. We praise for a harmonized "language of love"(incorporating common vocabulary, units, protocols) across the water and environmental biotechnology sector to team up mindsets for a sewer- and plant-wide integration of systems microbiology and engineering.
AB - The wastewater treatment sector embraces mixed-culture biotechnologies for sanitation, environmental protection, and resource recovery. Bioprocess design, monitoring and control thrive on microbial processes selected in complex microbial communities. Microbial ecology and systems microbiology help access microbiomes and characterize microorganisms, metabolisms and interactions at increased resolution and throughput. Big datasets are generated from the sequencing of informational molecules extracted from biomasses sampled across process schemes. However, they mostly remain on science benches and computing clusters, without reaching the industry in a clear engineering objective function. A bilateral bridge should actionize this information. As systems microbiologists, we miss that engineering designs and operations rely on stoichiometry and kinetics. The added-value provided by microbial ecology and systems microbiology to improve capital (CAPEX) and operating expenditures (OPEX) needs to be addressed. As engineers, we miss that microbiology can be provide powerful microbial information on top of physical-chemical measurements for quantitative process design (e.g., nutrient removal systems) with detailed scientific description of phenomena inside microbiomes. In this perspective article, we allied academia and industry to address the state of shared knowledge, successes and failures, and to establish joint investigation platforms. Our roadmap involves three milestones to (i) elaborate an essential list of microbiological information needed to implement methods at the process line; (ii) characterize microbiomes from microorganisms to metabolisms, and shape conceptual ecosystem models as primer for process ecology understanding; (iii) bridge engineering and mathematical models with an analytical toolbox for fast- vs. high-throughput analyses to discover new microbial processes and engineer assemblies. We praise for a harmonized "language of love"(incorporating common vocabulary, units, protocols) across the water and environmental biotechnology sector to team up mindsets for a sewer- and plant-wide integration of systems microbiology and engineering.
UR - http://www.scopus.com/inward/record.url?scp=85116508760&partnerID=8YFLogxK
U2 - 10.1039/d1ew00231g
DO - 10.1039/d1ew00231g
M3 - Review article
AN - SCOPUS:85116508760
SN - 2053-1400
VL - 7
SP - 1687
EP - 1706
JO - Environmental Science: Water Research and Technology
JF - Environmental Science: Water Research and Technology
IS - 10
ER -