A Quantitative Lens on Anaerobic Life: Leveraging the State-of-the-Art Fluxomics Approach to Explore Clostridial Metabolism

Wei Xiong, Chao Wu, Xiang Gao, Jonathan Lo, Pin-Ching Maness, Melissa Cano

Research output: Contribution to journalArticlepeer-review

5 Scopus Citations

Abstract

Quantitative understanding of clostridial metabolism is of longstanding interest due to the importance of Clostridia as model anaerobes, biotechnology workhorses, and contributors to evolutionary history and ecosystem. Current computational methods such as flux balance analysis-based construction of clostridial metabolism in genome scale provide a fundamental framework for metabolic analysis. However, this method alone is inadequate to characterize cellular metabolic activity. Experiment-driven approaches including isotope tracer-based fluxomics in association with genetic and biochemical methods are needed to gain a more comprehensive understanding. Here we focus on typical examples where these integrated approaches have contributed to the identification of new metabolic pathways and quantification of metabolic fluxes in Clostridia. We also highlight the opportunities and challenges of cutting-edge fluxomics approaches such as machine learning modeling, deuterium tracer approach, and high throughput flux phenotyping in exploring clostridial metabolism with respect to inorganic carbon utilization, redox cofactor interconversion, and other key metabolic features.

Original languageAmerican English
Pages (from-to)47-54
Number of pages8
JournalCurrent Opinion in Biotechnology
Volume64
DOIs
StatePublished - Aug 2020

Bibliographical note

Publisher Copyright:
© 2019

NREL Publication Number

  • NREL/JA-2700-74431

Keywords

  • Clostridium
  • fluxomics
  • metabolic analysis
  • systems microbiology

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