Skip to main content

Advertisement

Log in

Genomic, transcriptomic, and metabolic characterizations of Escherichia coli adapted to branched-chain higher alcohol tolerance

  • Bioenergy and biofuels
  • Published:
Applied Microbiology and Biotechnology Aims and scope Submit manuscript

Abstract

Microbial-produced branched-chain higher alcohols (BCHAs), such as isopropanol, isobutanol, and isopentanol in Escherichia coli, have emerged as promising alternative biofuels under development. Elucidating and improving the tolerance of E. coli to BCHAs are important issues for microbial production of BCHAs due to their physiological inhibitory effect. Previous works aimed at understanding the genetic basis of E. coli tolerance to BCHAs with a comparative genome, reverse engineering, or transcriptome approach have gained some important insights into the mechanism of tolerance. However, investigation on BCHA tolerance from the whole-genomic, transcriptomic, and metabolic levels via a systematic approach has not yet been completely elucidated. Here, in this study, genomic, transcriptomic, and 13C-metabolic flux analyses (13C-MFA) of an evolved E. coli strain adapted to BCHA tolerance were conducted. Genome mutation of negative regulation factor (rssB, acrB, and clpX) of RpoS level suggested upregulation of RpoS activity in BCHA tolerance of E. coli. From a more detailed perspective, enhanced energy metabolism was observed to be the main characteristic of E. coli strain tolerant to BCHAs. Enhanced energy metabolism has been achieved through several routes, which included redistribution of the central carbon metabolism, upregulation of the energy generation machinery, and facilitating the operation of electron transferring chain. Evidence of multiple solutions of genotype modification toward BCHA tolerance was also revealed through comparative analysis of previous works from different groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

Download references

Acknowledgments

We would like to thank Dr. Le You and Dr. Lian He from the Washington University in St. Louis for discussion on 13C-metabolic flux analysis experiments. We also would like to thank Ms. Xianni Qi and Yuanyuan Zhang of Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, for technique assistance in GS-MS analysis.

Funding

This work was supported by the National Basic Research Program (973 Program, 2011CBA00800) and the National Knowledge Innovation Project of the Chinese Academy of Sciences (KSCX2-EW-G-14). QHW was supported by the One Hundred Talent Program of the Chinese Academy of Sciences, and RT was supported by Youth Innovation Promotion Association of Chinese Academy of Sciences.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qinhong Wang.

Ethics declarations

Conflict of interest

The authors declared that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(XLSX 14 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, B., Guo, Y., Xu, Z. et al. Genomic, transcriptomic, and metabolic characterizations of Escherichia coli adapted to branched-chain higher alcohol tolerance. Appl Microbiol Biotechnol 104, 4171–4184 (2020). https://doi.org/10.1007/s00253-020-10507-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00253-020-10507-0

Keywords

Navigation