Comparative transcriptomics elucidates adaptive phenol tolerance and utilization in lipid-accumulating Rhodococcus opacus PD630

Aki Yoneda, William R. Henson, Nicholas K. Goldner, Kun Joo Park, Kevin J. Forsberg, Soo Ji Kim, Mitchell W. Pesesky, Marcus Foston, Gautam Dantas, Tae Seok Moon

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

Lignin-derived (e.g. phenolic) compounds can compromise the bioconversion of lignocellulosic biomass to fuels and chemicals due to their toxicity and recalcitrance. The lipid-accumulating bacterium Rhodococcus opacus PD630 has recently emerged as a promising microbial host for lignocellulose conversion to value-added products due to its natural ability to tolerate and utilize phenolics. To gain a better understanding of its phenolic tolerance and utilization mechanisms, we adaptively evolved R. opacus over 40 passages using phenol as its sole carbon source (up to 373% growth improvement over wild-type), and extensively characterized two strains from passages 33 and 40. The two adapted strains showed higher phenol consumption rates (∼20 mg/l/h) and ∼2-fold higher lipid production from phenol than the wild-type strain. Whole-genome sequencing and comparative transcriptomics identified highly-upregulated degradation pathways and putative transporters for phenol in both adapted strains, highlighting the important linkage between mechanisms of regulated phenol uptake, utilization, and evolved tolerance. Our study shows that the R. opacus mutants are likely to use their transporters to import phenol rather than export them, suggesting a new aromatic tolerance mechanism. The identified tolerance genes and pathways are promising candidates for future metabolic engineering in R. opacus for improved lignin conversion to lipid-based products.

Original languageEnglish (US)
Pages (from-to)2240-2254
Number of pages15
JournalNucleic acids research
Volume44
Issue number5
DOIs
StatePublished - Feb 2 2016
Externally publishedYes

ASJC Scopus subject areas

  • Genetics

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