Abstract
Many diseases such as metabolic syndrome, cancer, inflammatory diseases, and pathological phenomena can be understood as an adaptive reconstitution of the metabolic state (metabolic adaptation). One of the effective approaches to reveal the property of metabolic networks is using model organisms such as microorganisms that are easier to experiment with than higher organisms. Using the laboratory evolution approach, we can elucidate the evolutionary dynamics in various stress environments, which provide us an understanding of the metabolic adaptation. In addition, the integration of omics data and phenotypic data enables us to clarify the genetic and phenotypic alterations during adaptation. In this review, we describe our recent studies on bacterial laboratory evolution and the omics approach to clarify the stress adaptation process. We have also obtained high-dimensional phenotypic data using our automated culture system. By combining these genomic and transcriptomic data within high-throughput phenotypic data, we can discuss the complex trans-omics network of metabolic adaptation.
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Acknowledgments
We thank Prof. Mariko Okada and Prof. Takeshi Bamba for the invitation to write a review article in this Special Issue of Biophysical Reviews.
Funding
This work was supported, in part, by a Grant-in-Aid for Scientific Research (C) [19K06630], from the JSPS, and a Grant-in-Aid for Scientific Research on Innovative Areas [18H04807] from MEXT.
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Horinouchi, T., Furusawa, C. Understanding metabolic adaptation by using bacterial laboratory evolution and trans-omics analysis. Biophys Rev 12, 677–682 (2020). https://doi.org/10.1007/s12551-020-00695-4
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DOI: https://doi.org/10.1007/s12551-020-00695-4