Short communicationImproving riboflavin production by knocking down ribF, purA and guaC genes using synthetic regulatory small RNA
Introduction
Riboflavin (RF), also called vitamin B2, is an indispensable micronutrient in living organisms, including microorganisms, plants and mammals. Riboflavin and its active forms, the cofactors flavin mononucleotide (FMN) and flavin adenine dinucleotide (FAD), have been extensively used in the food, feed, pharmaceutical and cosmetic industries (Liu et al., 2020). Traditionally, riboflavin was synthesized and produced by chemical procedures, which had many drawbacks such as environmental pollution, high cost and high energy consumption. Therefore, the microbial fermentation method has been widely applied to RF production. The industrial RF production strains are mainly derived from the fungus Ashbya gossypii (Kato and Park, 2012) and the bacterium Bacillus subtilis (Schallmey et al., 2004). Meanwhile, other species are also engineered for RF production, including Candida famata (Dmytruk et al., 2014), Corynebacterium ammoniagenes (Koizumi et al., 2000), Pichia guilliermondii (Prokopiv et al., 2013), Eremothecium ashbyi (Sengupta et al., 2012) and Escherichia coli (Lin et al., 2014; Liu et al., 2016). A number of genetic and metabolic engineering strategies were carried out to construct riboflavin overproducing strains, which include down-regulation of flavokinase/FAD synthetase activity (Mack et al., 1998; Lin et al., 2014), overexpression of the riboflavin operon (Koizumi et al., 2000; Marx et al., 2008), enhancing the supply of precursor metabolites such as ribulose-5-phosphate and GTP (Shi et al., 2009; Wang et al., 2011; Xu et al., 2015), increasing the efficiency of energy generation (Zamboni et al., 2003; Li et al., 2006) and so on. At present, the highest titer of riboflavin is around 26–30 g/L (Lee et al., 2004; Schallmey et al., 2004), however, the yield on substrate is still far below the theoretical yield and needed to be further improved. For example, the theoretical and experimental yields of Bacillus subtilis were 0.083 and 0.010 mol/mol at a μ of 0.1 h−1, respectively (Dauner and Sauer, 2001).
Several previous reports have shown that down-regulation of ribF (encoding riboflavin kinase/FMN adenylyltransferase) and purA (encoding adenylosuccinate synthetase) genes was effective on riboflavin synthesis or enhancing GTP supply, as they involved in the downstream or branch reactions of riboflavin biosynthesis pathway (Fig.S1). For instance, knocking down ribF gene in Escherichia coli by changing its RBS effectively increased the production of riboflavin by 77.0 % (Lin et al., 2014). A mutant PurA with deceased catalysis activity was used to reduce the flux from IMP to AMP in Bacillus subtilis, resulting in an increase of 40.2 % in riboflavin titer (Xu et al., 2015). What’s more, knocking out guaC gene (encoding GMP reductase) in Bacillus subtilis blocked the flux from GMP to IMP and showed a 0.51-fold increase in GTP concentration (Deng et al., 2019), which indicates guaC knockdown has potential role in riboflavin accumulation. However, there are few studies on the synergistic regulation of ribF, purA and guaC genes for enhancing riboflavin production. Recently, a general strategy for simultaneously fine-tuning the expression levels of multiple genes using synthetic regulatory small RNA (sRNA, Fig. S2) has been reported (Na et al., 2013; Yoo et al., 2013). Owing to its easy implementation and does not require construction of strain libraries, synthetic sRNA has been wildly applied for metabolic engineering of Escherichia coli, Shewanella oneidensis MR-1, Bacillus subtilis, Clostridium acetobutylicum and Corynebacterium glutamicum (Liu et al., 2014; Cao et al., 2017; Cho and Lee, 2017; Sun et al., 2019; Xie et al., 2021), which successfully optimized the production of Tyrosine, Phenol, 1,3-Diaminopropane, Malonyl-CoA and Immunoglobulin G (Kim et al., 2014; Chae et al., 2015; Kim et al., 2015; Sun et al., 2018; Zhang et al., 2020).
The ribF gene is essential in Escherichia coli MG1655 (Gerdes et al., 2003), and the purA knockout strain could not grow in minimal medium without adenine addition (Hoffman et al., 2001; Sleiman et al., 2021). Besides, guaC deletion in WY0T, a riboflavin-producing base strain, resulted in severely impaired cell growth (data not shown), which might be due to the imbalance between AMP and GMP biosynthesis resulted from completely blocking the formation of IMP from GMP (Mager and Magasanik, 1960; Roberts et al., 1988). Therefore, in this study, the expression levels of these 3 genes were down-regulated by using synthetic sRNA, and the corresponding effect on riboflavin synthesis was tested in WY0T. We first designed 15 synthetic sRNAs to regulate the expression levels of these 3 genes. Anti-ribF5 sRNA was then combined with other sRNAs to further increase riboflavin production. Finally, the expression levels of anti-ribF5 and anti-guaC3 were fine-tuned by using 4 different promoters. By doing so, the best strain WY40 produced 1454.5 mg/L riboflavin with a yield of 0.147 g/g glucose, which was 163.4 % and 162.5 % higher than that obtained with WY0T.
Section snippets
Single knockdown of ribF, purA or guaC using synthetic sRNAs
We designed 5 target-binding sequences that bind to target mRNA region with different length, target loci and sequence complementarity, and Escherichia coli MicC was selected as the sRNA scaffold because of its superior repression capability (Na et al., 2013). Then, 15 target-binding sequences (Fig. S3) were inserted into the plasmid p20C-MicC, creating 15 single-sRNA expression plasmids pF1−5, pA1−5 and pC1−5. Finally, p20C and all 15 plasmids were introduced into the base strain WY0T,
Conclusion
As far as we know, this is the first report on simultaneously regulating the expression levels of ribF, purA and guaC genes for riboflavin biosynthesis by using synthetic regulatory small RNA, which led to a highest yield of 0.147 g/g glucose among all reported riboflavin-producing strains.
CRediT authorship contribution statement
Wenya Hu: Investigation, Formal analysis, Writing - original draft. Shuang Liu: Investigation, Methodology, Formal analysis. Zhiwen Wang: Methodology, Validation. Tao Chen: Conceptualization, Writing - review & editing, Supervision.
Declaration of Competing Interest
The authors report no declarations of interest.
Acknowledgements
This work was supported by the National Natural Science Foundation of China [NSFC-21621004 and NSFC-21776208].
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Wenya Hu and Shuang Liu contributed equally to the work.