期刊
BIOTECHNOLOGY FOR BIOFUELS
卷 13, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13068-020-01781-1
关键词
Zymomonas mobilis; Adaptive laboratory evolution (ALE); Acidic pH tolerance; Next-generation sequencing (NGS); RNA-Seq; Whole-genome resequencing (WGR)
资金
- National Key Research and Development Program of China [2018YFA090039]
- National Science Foundation of China [21978071, U1932141]
- Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang Province [2018R01014]
- Technical Innovation Special Fund of Hubei Province [2019AHB055, 2018ACA149]
- State Key Laboratory of Biocatalysis and Enzyme Engineering (Hubei University)
Background: Acid pretreatment is a common strategy used to break down the hemicellulose component of the lignocellulosic biomass to release pentoses, and a subsequent enzymatic hydrolysis step is usually applied to release hexoses from the cellulose. The hydrolysate after pretreatment and enzymatic hydrolysis containing both hexoses and pentoses can then be used as substrates for biochemical production. However, the acid-pretreated liquor can also be directly used as the substrate for microbial fermentation, which has an acidic pH and contains inhibitory compounds generated during pretreatment. Although the natural ethanologenic bacteriumZymomonas mobiliscan grow in a broad range of pH 3.5 similar to 7.5, cell growth and ethanol fermentation are still affected under acidic-pH conditions below pH 4.0. Results: In this study, adaptive laboratory evolution (ALE) strategy was applied to adaptZ. mobilisunder acidic-pH conditions. Two mutant strains named 3.6M and 3.5M with enhanced acidic pH tolerance were selected and confirmed, of which 3.5M grew better than ZM4 but worse than 3.6M in acidic-pH conditions that is served as a reference strain between 3.6M and ZM4 to help unravel the acidic-pH tolerance mechanism. Mutant strains 3.5M and 3.6M exhibited 50 similar to 130% enhancement on growth rate, 4 similar to 9 h reduction on fermentation time to consume glucose, and 20 similar to 63% improvement on ethanol productivity than wild-type ZM4 at pH 3.8. Next-generation sequencing (NGS)-based whole-genome resequencing (WGR) and RNA-Seq technologies were applied to unravel the acidic-pH tolerance mechanism of mutant strains. WGR result indicated that compared to wild-type ZM4, 3.5M and 3.6M have seven and five single nucleotide polymorphisms (SNPs), respectively, among which four are shared in common. Additionally, RNA-Seq result showed that the upregulation of genes involved in glycolysis and the downregulation of flagellar and mobility related genes would help generate and redistribute cellular energy to resist acidic pH while keeping normal biological processes inZ. mobilis. Moreover, genes involved in RND efflux pump, ATP-binding cassette (ABC) transporter, proton consumption, and alkaline metabolite production were significantly upregulated in mutants under the acidic-pH condition compared with ZM4, which could help maintain the pH homeostasis in mutant strains for acidic-pH resistance. Furthermore, our results demonstrated that in mutant 3.6M, genes encoding F(1)F(0)ATPase to pump excess protons out of cells were upregulated under pH 3.8 compared to pH 6.2. This difference might help mutant 3.6M manage acidic conditions better than ZM4 and 3.5M. A few gene targets were then selected for genetics study to explore their role in acidic pH tolerance, and our results demonstrated that the expression of two operons in the shuttle plasmids,ZMO0956-ZMO0958encoding cytochrome bc1 complex andZMO1428-ZMO1432encoding RND efflux pump, could helpZ. mobilistolerate acidic-pH conditions. Conclusion: An acidic-pH-tolerant mutant 3.6M obtained through this study can be used for commercial bioethanol production under acidic fermentation conditions. In addition, the molecular mechanism of acidic pH tolerance ofZ. mobiliswas further proposed, which can facilitate future research on rational design of synthetic microorganisms with enhanced tolerance against acidic-pH conditions. Moreover, the strategy developed in this study combining approaches of ALE, genome resequencing, RNA-Seq, and classical genetics study for mutant evolution and characterization can be applied in other industrial microorganisms.
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