Advancing environmental biotechnology with microbial community modeling rooted in functional 'omics

被引:0
|
作者
Sampara, Pranav [1 ]
Lawson, Christopher E. [2 ]
Scarborough, Matthew J. [3 ]
Ziels, Ryan M. [1 ]
机构
[1] Univ British Columbia, Dept Civil Engn, Vancouver, BC, Canada
[2] Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON, Canada
[3] Univ Vermont, Dept Civil & Environm Engn, Burlington, VT USA
基金
加拿大自然科学与工程研究理事会;
关键词
DIVERSITY; GROWTH;
D O I
10.1016/j.copbio.2024.103165
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Emerging biotechnologies that solve pressing environmental and climate emergencies will require harnessing the vast functional diversity of the underlying microbiomes driving such engineered processes. Modeling is a critical aspect of process engineering that informs system design as well as aids diagnostic optimization of performance. 'Conventional' bioprocess models assume homogenous biomass within functional guilds and thus fail to predict emergent properties of diverse microbial physiologies, such as product specificity and community interactions. Yet, recent advances in functional 'omics-based approaches can provide a 'lens' through which we can probe and measure in situ ecophysiologies of environmental microbiomes. Here, we overview microbial community modeling approaches that incorporate functional 'omics data, which we posit can advance our ability to design and control new environmental biotechnologies going forward.
引用
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页数:9
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