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Development of Rhodococcus opacus as a chassis for lignin valorization and bioproduction of high-value compounds


The current extraction and use of fossil fuels has been linked to extensive negative health and environmental outcomes. Lignocellulosic biomass-derived biofuels and bioproducts are being actively considered as renewable alternatives to the fuels, chemicals, and materials produced from fossil fuels. A major challenge limiting large-scale, economic deployment of second-generation biorefineries is the insufficient product yield, diversity, and value that current conversion technologies can extract from lignocellulose, in particular from the underutilized lignin fraction. Rhodococcus opacus PD630 is an oleaginous gram-positive bacterium with innate catabolic pathways and tolerance mechanisms for the inhibitory aromatic compounds found in depolymerized lignin, as well as native or engineered pathways for hexose and pentose sugars found in the carbohydrate fractions of biomass. As a result, R. opacus holds potential as a biological chassis for the conversion of lignocellulosic biomass into biodiesel precursors and other value-added products. This review begins by examining the important role that lignin utilization will play in the future of biorefineries and by providing a concise survey of the current lignin conversion technologies. The genetic machinery and capabilities of R. opacus that allow the bacterium to tolerate and metabolize aromatic compounds and depolymerized lignin are also discussed, along with a synopsis of the genetic toolbox and synthetic biology methods now available for engineering this organism. Finally, we summarize the different feedstocks that R. opacus has been demonstrated to consume, and the high-value products that it has been shown to produce. Engineered R. opacus will enable lignin valorization over the coming years, leading to cost-effective conversion of lignocellulose into fuels, chemicals, and materials.


In comparison with estimated pre-industrial levels (circa 1700 CE), the current global atmospheric CO2 concentration has increased over 100 parts per million (ppm) and is now stably maintained over 400 ppm, with three quarters of that change occurring since 1960 due to emissions from the burning of fossil [1]. This increase in the CO2 concentration has already contributed to a small, but significant, rise in global average temperatures, and will lead to even greater increases in the future. Climate change can lead to decreasing crop yields and seed quality [1], facilitate sea level rise, promote destructive extreme weather events, and cause spikes in energy usage as increasingly frequent severe weather can cause unscheduled shutdown/start-up cycles [2]. Addressing greenhouse gas-driven climate change will require a complex, multi-tiered approach toward a more carbon–neutral world, including a greater usage of biofuels in the transportation industry and more sustainable chemical and material synthesis.

Biofuels or bioproducts, derived from biological sources (i.e., biomass) rather than petroleum, are not a new concept—the inventor of the diesel engine advocated for farmers generating their own vegetable-oil fuel in areas lacking a consistent source of petroleum [3]. First-generation biofuels and bioproducts are derived from food crops like corn, soy, palm, and sugarcane [3,4,5,6]. While these biofuels and bioproducts have the potential to mitigate CO2 emissions associated with fossil fuels [3, 5, 6], they are economically and environmentally problematic: energy uses related to irrigation, fertilizer production, cultivation, and transportation are significant, and global demand for food outweighs the supply of arable land [4, 6]. Other sources of biomass, like lignocellulose, are readily available as by-products of the agriculture and forestry industries. Moreover, the dedicated cultivation of properly selected and/or engineered species as sources of lignocellulose can be achieved in a wider distribution of climate and soil conditions with reduced water and fertilizer requirements compared to first-generation sources [7]. However, lignocellulose does require more complex processing to produce a second-generation biofuel or bioproduct. The structural component of lignocellulose, lignin, provides a particular challenge as it is a complex aromatic macromolecule that evolved to resist degradation [8]. Complete utilization and upgrading of lignin are critical for economic viability of second-generation biorefineries.

The processing of lignocellulosic biomass can be split up into two steps: (1) depolymerization in which the polymers within lignocellulose (e.g., cellulose, hemicellulose, and lignin) undergo cleavage reaction producing their respective subunits, and (2) upgrading in which these subunits are converted into a value-added product. Both steps of biomass processing can be achieved through diverse biological, thermochemical, and catalytic processes. However, the generation of a single value-added product requires upgrading followed by extensive chemical separations, or the use of biological catalysts (i.e., a microbe) that can funnel and convert many different lignocellulose-derived substrates into a single product. Rhodococcus opacus PD630 (hereafter R. opacus) has been identified as a potential biological chassis for the funneling and conversion of lignocellulose-derived substrates to lipids, a biofuel precursor. R. opacus has a natural tolerance to toxic aromatic compounds found in the lignin fraction of lignocellulose, an ability to increase this tolerance through adaption, and numerous catabolic pathways for consumption of both carbohydrates and aromatics, making it an ideal candidate to address the challenges of biomass conversion [9]. R. opacus has also shown the ability to accumulate up to ~ 80% of its cell dry weight in lipids, such as triacylglycerols (TAGs), under certain growth conditions. These lipids can then be converted to biodiesel via a transesterification reaction [10, 11]. In this review, we focus on discussing the important role of lignin valorization in regard to the viability of second-generation biorefineries, summarize different lignocellulose depolymerization methods, and examine R. opacus’ potential for the conversion of biomass breakdown products into diverse fuels and chemicals.

Why bioproducts?

Industrial oil drilling began in the mid-nineteenth century, and in 2015, there was an assessed 35.2 billion barrels of proven oil reserves in the USA, with an estimated 3.4 billion barrels produced domestically that year [12]. While predictions of “peak oil” made over the past two decades have been overly pessimistic, it is not unreasonable to predict that recovery of global oil reserves will, at some point, become economically unfeasible [13]. Thus, an alternative renewable source of energy and substitutes for products derived from petroleum will be required in the future. Lignocellulosic biomass represents one of the few sources of renewable carbon, while renewable energy (e.g., electricity) can be generated from other renewable sources such as wind and solar power. Biorefineries can convert biomass into a range of products by employing integrated catalytic, thermochemical, and biological conversion processes that efficiently utilize the carbon and energy stored in that biomass [14, 15]. A future that does not rely on fossil resources will involve renewable electrical production paired with the generation of biomass-derived products.

The last two decades of research in carbohydrate conversion techniques have witnessed successful biofuel and biochemical production, but the conversion of the lignin fraction of biomass has been less explored [16]. Federal regulation and clean energy initiatives are targeting production rates of 79 billion liters per year of second-generation biofuels by 2022, and the quantity of lignin remaining after the sugar fraction is fermented to reach that target could be as high as 62 million dry tons annually [17,18,19]. Increasing lignin utilization would not only help offset the environmental impact of biomass refinement, but also drastically increase the economic feasibility of the biorefinery. Second-generation biofuels and value-added bioproducts derived from biomass represent versatile end products, but the future commercial viability of biorefinery products depends on efficient use of both the carbohydrate and lignin substrates [20].

What is lignin?

Lignin is a complex and heterogeneous macromolecule composed of cross-linked aromatic monomers and imparts a rigid or “woody” characteristic of plants that helps provide structural support and limit degradation of polysaccharides. The molecular structure of lignin polymers is primarily derived from p-coumaryl, coniferyl, and sinapyl alcohols and corresponds to p-hydroxyphenyl, guaiacyl, and syringyl monolignol units, respectively; however, there are a variety of other units which occur less frequently [8, 21]. The composition and relative abundance of each type of monolignol varies species to species, genotype to genotype, across tissue types, between cell wall layers, across different development stages, and as a function of environmental factors [22]. The monolignols form several inter-monomer linkages, most commonly aryl ether bonds (e.g., β-O-4, α-O-4, and 4-O-5) [23]. The extremely diverse and variable molecular structure of lignin makes commercial degradation difficult and widespread utilization of lignin challenging; however, effective utilization of lignin is necessary for lignocellulose conversion profitability [24].

Thermochemical and catalytic conversion of lignin

Research has been conducted to develop conversion technologies that deconstruct lignin, in particular lignin generated as a by-product of papermaking and biomass-derived carbohydrate fermentation, for the production of renewable fuels, chemicals, and materials [25]. Lignin’s inherent recalcitrance toward deconstruction makes it difficult to depolymerize for industrial purposes [19, 26]. Transforming lignin into higher-value products is further complicated by its structural diversity and the high propensity of its intermediates to engage in secondary reactions. An identical lignin conversion process can generate different distributions of compounds depending on the chemical and molecular structure of the lignin feedstock. Additionally, each type of conversion technology has numerous processing conditions that determine the product phase (i.e., solid, liquid, or gas), composition, and application, as well as other conversion performance metrics (e.g., product yield, productivity, selectivity, and composition). For example, a liquid fuel product can easily be derived from lignin using pyrolysis, which exposes the lignin to high temperatures in the absence of oxygen [27]. However, the chemical composition of this lignin-derived pyrolysis oil has such a wide distribution of compounds that it has little to no utility for chemical production [28].

Thermochemical and catalytic conversion technologies for lignin valorization primarily include pyrolysis, hydrothermal liquefaction (HTL), gasification, oxidative cracking, hydrogenolysis, and solvolysis (Table 1) [25, 29, 30]. These lignin conversion technologies generate gas, liquid, and/or solid breakdown products through numerous complex reactions. Due to differing process conditions defining these conversion technologies, certain reaction pathways are favored, which alters the yield and composition of the breakdown products. Catalytic technologies (i.e., oxidative cracking, hydrogenolysis, and solvolysis), which have been reviewed in detail by Zakzeski et al., provide a promising avenue to convert lignin selectively into its constituent monomers or monomer derivatives [30]. Aromatic carbon–oxygen bonds in aryl ether inter-monomer linkages, which comprise 50–60% of the inter-monomer linkages of lignin [31], represent a potential macromolecular “weak” point that could prove an effective target for selective depolymerization. In this case, a catalyst not only facilitates cleavage of specific bonds along the lignin chains, but also allows the cleavage to occur with a lower energy input, reducing the occurrence of secondary reactions with higher activation energies. The resulting product mixture would therefore have a much narrower distribution of aromatic compounds, which may be more amenable to cost-effective chemical separation and/or downstream upgrading.

Table 1 Summary of thermochemical and catalytic technologies for lignin conversion [25]

Biological and hybrid conversion of lignin

Although catalysts can provide a route toward selective lignin depolymerization chemistry, thermocatalytic processing of lignin often results in a product mixture that still requires extensive chemical separations. Additionally, lignin depolymerization products are generally limited to aromatic and phenolic derivatives. There has been significant research studying the application of enzymes and various microorganisms as a more selective and facile method of lignin depolymerization, as discussed in a recent report [32]. In general, biological systems require mild conditions that avoid costs associated with the use of high temperatures and high pressures. However, only a few bacteria (e.g., Streptomyces spp., Rhodococcus spp., and Nocardia spp.) and brown/white-rot fungi [33, 34] have an ability to depolymerize lignin, and their lignin depolymerization rate is too low to be useful on an industrial scale [26, 35].

To overcome these challenges, researchers have adopted a hybrid conversion approach which combines the best attributes of thermocatalytic and biological conversion technologies [36]. In a hybrid conversion approach, a thermocatalytic conversion process with advantageous reaction kinetics and conversion is applied for the initial lignin depolymerization. Downstream, microbial conversion and funneling of the depolymerized lignin breakdown products (LBPs) to a value-added product then occur with advantageous selectivity [37]. There are numerous aromatic catabolic pathways in various microbes which can be harnessed into a “biological funnel” by converting the heterogeneous substrates generated during depolymerization into common metabolic intermediates (e.g., protocatechuate and catechol) [38]. These intermediates undergo further conversion to central metabolites (e.g., acetyl-CoA) that can be utilized to produce target compounds at a high selectivity.

Hybrid conversion technologies have been previously implemented, but they have almost exclusively focused on sugar utilization [39, 40]. For example, cellulosic technologies can consist of thermochemical polysaccharide depolymerization (e.g., acid hydrolysis [41] or production of pyrolytic sugars [42]) and biological conversion of the resulting monosaccharides into ethanol or other products [39]. Recent work has begun to shift the focus from sugar fermentation to lignin utilization, with most research concentrating on using lignin model compounds to characterize aromatic degradation pathways [43,44,45] and bioconversion abilities [46, 47]. Demonstrations of an integrated thermochemical process with an aromatic-metabolizing microbial catalyst using pretreatment liquors have been performed, but these feedstocks frequently contain only a portion of the original lignin content, as the pretreatment process has been optimized for sugar release via enzymatic hydrolysis rather than maximizing lignin conversion [38, 48, 49]. For an effective lignin hybrid conversion process, the upstream thermochemical or catalytic depolymerization process must meet the following requirements: (1) production of aqueous soluble LBPs; (2) optimization of lignin conversion for yield and selectivity toward the preferred substrates for microbial growth and utilization; (3) minimal generation of inhibitor compounds; and (4) a process configuration and condition that is compatible with an economical, sustainable, and large-scale design. To this end, multiple lignocellulosic biomass pretreatment techniques have been tested, demonstrating the potential of hybrid conversion processes [48,49,50,51,52].

Why Rhodococcus opacus PD630 for the hybrid conversion of lignin?

Rhodococcus opacus PD630 has been identified as a candidate biological catalyst for the conversion of both the carbohydrate and lignin fractions of lignocellulose into valuable products. R. opacus was originally isolated from soil collected near a gas works plant by enrichment on phenyldecane as a sole carbon source [11]. R. opacus possesses extensive catabolic pathways for both sugars and aromatics and can tolerate inhibitory compounds found in depolymerized biomass (e.g., phenolics and furfural) [53]. The ability to metabolize aromatic compounds is shared by a number of microorganisms and is likely a common evolutionary trait due to the prevalence of lignin in natural environments. Many of the aromatic compounds that R. opacus is known to metabolize can be found in LBPs [9, 54,55,56,57,58]. In addition to lignin model compounds (e.g., 4-hydroxybenzoate, benzoate, phenol, vanillate, guaiacol, and trans-p-coumaric acid), R. opacus has been shown to degrade depolymerized kraft lignin [59], alkali-treated corn stover [60, 61], alkali-treated poplar wood [34], and switchgrass pyrolysis oil [52]. Through adaptive evolution, R. opacus has been further evolved to more efficiently degrade phenol, syringaldehyde, and aromatic mixtures [9, 53, 54]. R. opacus has also been engineered using exogenous genes expressed on plasmids to degrade cellulose, arabinose, and xylose [62,63,64]. It is therefore, through native or engineered means, able to tolerate and utilize a variety of typically toxic lignin-derived compounds, in addition to sugars.

Unlike most bacteria that store carbon as polyhydroxyalkanoic acids (PHAs), R. opacus stores carbon as energy-rich triacylglycerols (TAGs) [58, 65]. Acetyl-CoA is the product of diverse catabolic pathways in R. opacus, including glycolysis, the Entner–Doudoroff pathway, and aromatic degradation pathways (e.g., β-ketoadipate pathway), and it is a key precursor in TAG biosynthesis. Under nitrogen limitation, the non-limiting essential nutrient (i.e., carbon) is stored as TAGs in R. opacus, accumulating up to ~ 80% of its cellular dry weight when cultured on gluconate [11, 66]. On aromatic compounds, lipid production is reduced, but accumulation can still reach up to 44% of cellular dry weight in TAGs under nitrogen-limiting conditions [9]. R. opacus can also synthesize branched-chain and odd-numbered fatty acids that are necessary for next-generation biofuels. Shifting lipid storage in R. opacus to these compounds would make it an even more valuable production strain [67].

Other organisms have been proposed for lignin conversion, but R. opacus has demonstrated equal or higher rates of aromatic degradation and tolerance compared to those species. For example, a phenol-adapted Pseudomonas putida strain had a maximum phenol degradation rate of ~ 12 mg phenol/L/h when grown at its maximum tolerated phenol concentration of 1 g/L [68]. Bacillus brevis previously claimed the highest phenol tolerance and utilization when cultures grew at concentrations up to 1.75 g/L phenol, and demonstrated a maximum degradation rate of ~ 20 mg/L/h [69]. Adapted R. opacus strains were able to grow at 2 g/L phenol and demonstrated a maximum degradation rate of ~ 21–22 mg/L/h [54].

In summary, R. opacus is an ideal candidate for the hybrid approach of lignocellulose utilization because of its high tolerance to aromatic compounds, its capacity to utilize a wide variety of substrates (both carbohydrates and LBPs), and its ability to accumulate lipids. These traits are uniquely suited to handling the diverse feedstock mixtures produced by lignocellulose depolymerization processes and metabolizing them into valuable compounds. Additionally, R. opacus is amenable to adaptive evolution to improve the tolerance and growth rate on aromatic and lignin substrates [9, 53, 54]. These natural characteristics, along with a growing toolbox of genetic tools, make R. opacus an ideal organism for lignin valorization [70].

Genetic and metabolic characteristics of R. opacus

Aromatic degradation in R. opacus is facilitated by a high-flux β-ketoadipate pathway that produces acetyl-CoA (Fig. 1) [71]. As acetyl-CoA is the precursor molecule for many biochemicals, R. opacus is thus well suited for chemical production based on an aromatic feedstock. Additionally, glucose metabolism in R. opacus exclusively utilizes the Entner–Doudoroff pathway, enabling simultaneous utilization of phenol and glucose. This lack of catabolite repression means that R. opacus can effectively use both the carbohydrate and lignin fractions of lignocellulosic biomass with reduced fermentation times and increased productivities. While sugar and phenol metabolisms are independent, R. opacus degrades aromatic compounds in a preferential order [9, 72]. It is unclear what is driving this preferential consumption, but it may result from variations in enzyme and transporter activities, or transcriptional-level regulation.

Fig. 1
figure 1

Aromatic degradation and carbon metabolism in R. opacus. R. opacus genes involved in reactions are listed. Dashed arrows represent multiple intermediate steps not shown. Xylose and arabinose consumptions occur via engineered pathways

Aromatic compounds entering the cell generally first undergo preliminary degradation to either protocatechuate or catechol before being metabolized through the β-ketoadipate pathway. Mechanistically, this import into the cell and preprocessing occurs via specialized aromatic transporters and funneling enzymes, which have been identified using transcriptomics and proteomics [9, 34, 54]. Henson et al. identified three aromatic-associated transporters: one specific to phenol, one associated with both phenol and vanillate, and a promiscuous transporter associated with phenol, vanillate, benzoate, and guaiacol [9]. Several funneling enzymes have also been identified, including those which convert vanillate and 4-hydroxybenzoate to protocatechuate, as well as those which convert phenol, guaiacol, and benzoate to catechol [9].

Advantageous mutations and transcriptional changes have been identified in R. opacus that could be future targets for additional growth optimization through forward engineering. Genes for enzymes involved in oxidation–reduction reactions underwent changes in multiple strains adapted for improved growth on one or more phenolic compounds, including cytochrome ubiquinol oxidase subunit I and superoxide dismutase [9, 54]. The fact that functionally equivalent mutations occurred in multiple aromatic-adapted strains suggests their link to improved aromatic tolerance and utilization. For example, decreasing the activity of superoxide dismutase, as demonstrated in these mutated strains, may allow the cells to increase oxidizing equivalents, which are necessary to degrade highly reduced aromatic rings. Transcriptomic analysis of adapted strains also identified increased expression of aromatic transporters, which correlated with increased phenolic tolerance and utilization. These and other changes identified in the genome and transcriptome of adaptively evolved strains could be replicated in a rationally engineered strain to fine-tune its growth on and tolerance to aromatic-rich substrates.

Additional potential targets for strain optimization in R. opacus are its 9 endogenous plasmids (2 circular and 7 linear plasmids; a combined total of 0.79 Mbp). These plasmids have been posited to act as a hyper-recombinational gene storage strategy in which infrequently used catabolic genes are stored on plasmids as a failsafe against rarely encountered compounds (e.g., nitrophenolates and polycyclic and/or halogenated aromatics) which may be present in the environment [73,74,75,76,77,78]. If genes located on a plasmid are found to be regularly useful, they can undergo recombination with the 8.38 Mbp circular chromosome and become permanent components of the genome. This strategy has been observed in strains of related Actinomycetales, where stored genes provide the catabolic versatility to degrade a larger array of organic compounds [79, 80]. Additionally, genes located on plasmids, particularly if they are duplicates not subject to evolutionary conservation, can collect mutations more rapidly than those genes in the chromosome, allowing for improved adaptive capacity. For potential industrial use with a relatively well-defined and consistent feedstock, tailored strains of R. opacus may benefit from the selective removal of some of these plasmids, as previously adapted strains that exhibited improved growth profiles on phenolic compounds underwent large deletions or complete loss of plasmids 1 (0.17 Mbp) and 2 (0.098 Mbp) [9]. Plasmid removal under selective pressure may be driven by a reduced metabolic burden. Strategically, intentional plasmid curing would best be employed when cells are cultured on a defined range of carbon sources, where trading catabolic potential for improved growth rate is an acceptable risk.

Tool and technique development for R. opacus engineering

As R. opacus is a non-model bacterium, the available genetic tools and techniques for engineering this organism were relatively sparse until recently. The genetic toolbox available for R. opacus has expanded to include a reference genome [58, 65], plasmid backbones for gene overexpression, and promoters for tunable gene expression (Table 2). Furthermore, methods for performing gene knockouts and knock-ins, modulating and quantifying gene expression, and extracting intracellular products via viral lysis have all been demonstrated. We summarize the most prominent genetic tools and techniques developed for several R. opacus strains.

Table 2 List of genetic parts demonstrated in R. opacus, including plasmid backbones, selection markers, promoters, and recombination-related parts

A common element used for gene overexpression is the replicating plasmid backbone. As previously mentioned, R. opacus PD630 has 9 endogenous plasmids, which range in size from 37 to 172 Kbp [19]. These endogenous plasmids have 1 to 5 copies per chromosome, with plasmid 8 (5 copies per chromosome) having a confirmed neutral site for stable integration of heterologous DNA constructs [73]. Additionally, there are a number of heterologous plasmids isolated from other Actinomyces spp. that have been demonstrated to replicate stably in R. opacus (Table 2). While they have several names, these plasmid backbones can be grouped into five primary categories. The pAL5000-based plasmid group, consisting of short and long variants, is derived from Mycobacteria spp. and has been demonstrated to have 3 to 11 copies per chromosome, dependent on the variant [73, 81, 82]. The pNG2, pGA1, and pSR1 plasmid groups are all ancestrally related and derived from cryptic Corynebacterium spp. plasmids that replicate through rolling-circle amplification [83,84,85,86,87]. A BioBrick-compatible version of pSR1 (pSRKBB) has recently been developed for easy cloning [88]. The pAL5000 and pNG2 backbones have been demonstrated to be compatible, allowing co-maintenance of two heterologous plasmids [73]. Finally, pB264, which is derived from an endogenous Rhodococcus sp. B264 plasmid, has ~ 8 copies per chromosome and is easily curable from the cell once antibiotic selection pressure is removed [73, 89]. To ensure that heterologous plasmids are stably maintained within a cell, selection is required, most frequently in the form of an antibiotic resistance marker. Several of these markers have been demonstrated and optimized for selection in R. opacus (Table 2), though there may be room for refinement with regard to stable maintenance concentrations [88]. A recent study employed single-cell fluorescence to demonstrate that the concentration of kanamycin sufficient for selection was not the ideal concentration for plasmid function maintenance. The commonly used concentration of 50 µg/mL led to a bimodal population of cell fluorescence, with fewer than half of the cells demonstrating fluorescent reporter expression when analyzed via flow cytometry [88]. Increasing the concentration of kanamycin to 250 µg/mL led to a majority of cells expressing the fluorescent reporter.

The ability to readily transform a bacterium with heterologous DNA is critical if it is to be a platform organism. R. opacus is transformable through multiple methods, including conjugation and electroporation. Conjugation requires a plasmid containing an origin of transfer (OriT) and a bacterial strain capable of conjugating with the strain of interest to horizontally transfer the plasmid [106]. Both E. coli DH5α-pKOS111-47 and E. coli S17.1 have been used as conjugative helper strains with R. opacus [98, 100]. Electroporation, wherein a pulse of electricity creates pores in the cellular membrane, can facilitate uptake of plasmid DNA in R. opacus at a reported efficiency of ~ 105 CFUs/μg DNA [97, 107].

Successful cellular engineering requires the use of well-characterized genetic parts for predictable gene expression, and in non-model organisms, parts are often borrowed from related organisms [108]. One core component needed for reliable gene expression is the promoter, which drives gene transcription. A number of studies have utilized constitutive promoters from related gram-positive Actinomycetales (e.g., Mycobacterium spp. and Streptomyces spp.) or from genetically distant bacteria, such as gram-negative E. coli, for heterologous gene expression [62, 63, 82, 88, 96]. When performing metabolic engineering, however, a number of different promoters of varying strengths are required to balance the expression of multiple genes in an enzymatic pathway for optimal product titers [108, 109]. An alternative to using borrowed promoters is the creation of a de novo constitutive promoter library, where many promoters of varying strengths are developed and characterized. Using a fluorescent reporter, a constitutive promoter library spanning a 45-fold change in fluorescent output from weakest to strongest promoter was generated for R. opacus [73]. Performing initial optimization of an enzymatic pathway combinatorially with a range of constitutive promoters, however, can be time-consuming and costly in non-model organisms.

An alternative to constitutive promoters is tunable promoters whose expression is induced or repressed relative to the concentration of a specific compound. Table 2 summarizes the inducible and repressible promoters that have been demonstrated in R. opacus. Of particular interest to the goal of using R. opacus for the conversion of lignin to lipids are the aromatic- and ammonium-responsive promoters. The aromatic promoters (pLPD06740, pLPD06575, pLPD06699, pLPD06568) are differentially induced in the presence of a variety of aromatic compounds, including some found in depolymerized lignin, and could be employed in metabolic engineering related to aromatic catabolism [104]. pLPD03031 is a promoter that is repressed in the presence of ammonium, which can be used as a sole nitrogen source in R. opacus, and turns on when ammonium is depleted [104]. As nitrogen starvation triggers lipid accumulation in R. opacus, this promoter could be used to modulate lipid pathways under lipid-accumulating conditions [10, 54]. Combining the aromatic- and ammonium-responsive promoters into genetic circuits could lead to dynamic regulation, which has been shown to increase final product titers through reductions in metabolic burden [29]. Furthermore, pLPD03031 has been employed to create a cellular timer designed to activate at specific points in the cellular growth cycle, dependent on the initial ammonium concentration in the culture [104].

In addition to expressing a gene construct on a plasmid, heterologous expression can be achieved by integrating the DNA into the genome of the organism, where it can be stably maintained. To date, genome modification in R. opacus has been performed through both single- and double-crossover homologous recombination [73, 98, 100, 105]. Two methods utilizing single-crossover recombination, combined with the conjugative transfer of a donor plasmid via an E. coli helper strain, have been described for R. opacus [98, 100]. One difficulty with genomic recombination in R. opacus, however, is that it often results in illegitimate integration, wherein the integration cassette is inserted at an incorrect location or the entire plasmid is integrated. This is a common issue in other actinobacteria, such as Mycobacterium tuberculosis and Rhodococcus fascians, and can be overcome through the heterologous expression of helper recombinases [79, 110]. In R. opacus, a pair of bacteriophage recombinases, Che9c60 and Che9c61, has been demonstrated to facilitate double-crossover homologous recombination when donor template is provided via electroporation [73, 79, 105]. Ideally, the integration of foreign DNA into the genome would have no adverse effects on cell health, but in practice care must be taken in choosing an integration site. Three neutral sites, or locations that have been demonstrated not to cause a decrease in growth rate when a gene cassette is integrated into them, have been identified in the chromosome and a native endogenous plasmid of R. opacus [73].

In addition to the tools that facilitate gene overexpression in R. opacus, it may also be desirable to eliminate certain genes. Genetic knockouts through homologous recombination have also been performed to disrupt gene expression. Both single- and double-crossover recombination have been used to knockout and confirm the functional roles of transcriptional regulators, catabolic enzymes, and transporters in R. opacus [9, 100]. Furthermore, the sacB negative selection marker, which sensitizes the cell to sucrose, has been used for markerless genome engineering in R. opacus [100, 101].

Gene knockouts can be informative when investigating gene function, but as permanent modifications, they may be lethal or deleterious to the cell. As an alternative, a gene’s expression can be selectively and temporarily reduced through CRISPR interference (CRISPRi). CRISPRi utilizes a complex comprising a deactivated Cas9 nuclease (dCas9) and an engineered small guide RNA (sgRNA) to bind to DNA in a sequence-dependent manner and interfere with the transcriptional machinery, leading to targeted gene repression [111]. The most commonly used CRISPRi system is derived from Streptococcus pyogenes (dCas9Spy), but this system was found to be ineffective in Mycobacterium tuberculosis, an Actinomycetales species closely related to R. opacus [112]. A version of dCas9 sourced from Streptococcus thermophilus (dCas9Sth1), which was found to be effective in M. tuberculosis, has been developed as a repression system for use in R. opacus [73]. Experimentally, up to 58% repression of a chromosomally integrated fluorescent protein was observed using this optimized dCas9Sth1 [73]. Tunable gene repression using dCas9Sth1 can be used in the future to remodel native metabolic pathways in R. opacus.

To quantify changes in gene expression between different growth conditions, stably expressed reference (or “housekeeping”) genes in R. opacus have been identified for use with reverse transcription quantitative PCR (RT-qPCR) [113]. When ribosomal RNAs (rRNAs) are present in the samples, it was found that the combined use of genes for the ATP-binding subunit, ClpX, of the ATP-dependent Clp protease (PD630_RS25530) and 16S rRNA (PD630_RS01395) provided the best normalization results. If rRNAs are depleted, as is the case in samples prepared for RNA-Seq, the best pair of genes was found to be the same ATP-binding subunit ClpX and the rRNA small subunit methyltransferase G (PD630_RS37755). Using an appropriate set of reference genes is essential to generate meaningful expression-change data, and these pairs provide this baseline to an array of analyses.

A final technique that has been implemented to improve bioproduction in R. opacus is the development of a method for controlled cellular lysis to release intracellular compounds [114]. A bottleneck in microbial manufacturing is separating the target product from the cells, and implementing a controlled release strategy could reduce processing costs. A domesticated version of R. opacus created through serial culturing was found to be sensitive to a lytic tectivirus (Phage Toil) [114], which can be used to trigger cell lysis at a desired timepoint and can thus serve as a cheap and effective method for releasing products (e.g., TAGs) from R. opacus [114].

R. opacus as a production host

The production of TAGs and fatty acids in R. opacus has been demonstrated on an array of carbon feedstocks (Table 3). When fed kraft lignin (a toxic by-product of the paper and pulping industry) in combination with laccase (a class of enzymes which oxidize phenolics), R. opacus was able to generate 0.145 g/L of lipid [59]. A strain of R. opacus adaptively evolved to tolerate higher levels of aromatic compounds, PVHG6, was able to generate 0.13 g/L lipids when provided with five lignin model compounds as sole carbon sources in equal quantities [9]. Growth of R. opacus on pre-treated corn stover produced 1.3 g/L of lipid (measured as fatty acid methyl esters (FAME)) [60]. A xylose-fermenting strain (MITXM-61) was developed by heterologous gene expression, and when it was grown in corn stover hydrolysates (containing 118 g/L initial total sugars), it converted xylose and glucose into 15.9 g/L TAGs [54% of dry cell weight (DCW)] [115]. When R. opacus was cultured in glucose and glycerol, Suwaleerat et al. observed a maximum of 2.4 g/L lipids in 10.2 g/L biomass [116]. While R. opacus grows poorly on glycerol alone [116, 117], this demonstrates that it can be used to enhance lipid production compared to just glucose as a sole carbon source. As glycerol is a by-product of TAG transesterification, feeding it back to the production strain could reduce overall costs [118]. Using adaptive evolution, Sinskey and colleagues generated an MITXM-61 derivative strain, MITGM-173, which was able to grow on up to 160 g/L glycerol [119]. Optimized TAG production in this adapted strain occurred with a 1:2:2 mixture of glycerol/glucose/xylose, reaching 13.6 g/L TAGs (51.2% of DCW).

Table 3 Bioproduction by R. opacus wild-type and engineered strains on various feedstocks

Rhodococcus opacus can also be used as a platform to produce high-value compounds other than lipids. For example, R. opacus naturally produces carotenoids, which are prized for their pigmentation and antioxidant properties [116]. In a 7:3 ratio of glucose and glycerol, R. opacus was able to produce 0.99 mg/L of carotenoids [116]. Though R. opacus has, at present, a limited pool of demonstrated products (i.e., lipids and carotenoids), there is potential to expand the range, particularly as its genetic toolbox has recently been developed. With rational metabolic engineering, it may be possible to shunt more carbon flux into carotenoid production to improve yields and titers. Similarly, manipulation of enzymes in the β-ketoadipate pathway (Fig. 1) could result in the accumulation of high-value intermediates, including cis, cis-muconic acid (bioplastic precursor) and succinic acid (food additive). Furthermore, the downstream product of aromatic degradation, acetyl-CoA, can be diverted to produce diverse compounds. Production of these high-value compounds from lignocellulose or lignocellulose-derived sources has been demonstrated in other bacterial hosts, which provides a guide for engineering R. opacus (Table 4).

Table 4 Compounds produced from lignin or lignin-derived sources in selected non-R. opacus bacterial hosts


Biofuels and bioproducts can be produced from lignocellulose to replace or supplement petroleum-based fuels, chemicals, and materials. To improve the economic competitiveness and reduce the environmental footprint of biorefineries, both the carbohydrate and lignin fractions should be utilized. However, due to its recalcitrance, lignin has been an untapped carbon source which is either discarded or burned for process heat. Additionally, aromatic compounds found in depolymerized lignin are toxic to most microbes, presenting a challenge to developing an economically viable process. To overcome these challenges, we propose a hybrid conversion approach that combines thermochemical/catalytic and biological conversion processes as discussed in this review.

Rhodococcus opacus is an ideal organism for such a hybrid conversion process due to its ability to tolerate and utilize a wide variety of aromatic compounds found in lignin breakdown products. Additionally, R. opacus is oleaginous and can produce high levels of lipids. While R. opacus engineering has been limited, recent identification of aromatic degradation pathways and substrate transporters has provided several targets that can be modified for strain optimization. In addition, the toolbox for genetic engineering is under active development, providing methods for gene modification and transcription control. Further engineering will be necessary to increase the tolerance, growth rate, and lipid production of R. opacus on depolymerized lignin substrates. Furthermore, R. opacus can be engineered to synthesize more valuable chemicals, such as branched-chain fatty acid esters, carotenoids, and cis, cis-muconic acid. With advances in both lignin depolymerization processes and rational engineering tool development for R. opacus, the coming years will witness rapid progress toward cost-effective conversion of lignocellulose into bioproducts.

Availability of data and materials

Not applicable.





hydrothermal liquefaction


lignin breakdown products








origin of transfer


CRISPR interference


deactivated Cas9 nuclease


small guide RNA

dCas9Spy :

dCas9 originating from Streptococcus pyogenes

dCas9Sth1 :

dCas9 originating from Streptococcus thermophilus


reverse transcription quantitative PCR


ribosomal RNA


fatty acid methyl esters


dry cell weight


  1. 1.

    Prasad PVV, Thomas JMG, Narayanan S. Global warming effects. In: Thomas B, Murray BG, Murphy DJ, editors. Encyclopedia of applied plant sciences. 2nd ed. Oxford: Academic Press; 2017. p. 289–99.

    Chapter  Google Scholar 

  2. 2.

    Zirogiannis N, Hollingsworth AJ, Konisky DM. Understanding excess emissions from industrial facilities: evidence from texas. Environ Sci Technol. 2018;52(5):2482–90.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Lewis P, Karimi B, Shan Y, Rasdorf W. Comparing the economic, energy, and environmental impacts of biodiesel versus petroleum diesel fuel use in construction equipment. Int J Constr Educ Res. 2018;1:15.

    Article  Google Scholar 

  4. 4.

    Kalghatgi G. Is it really the end of internal combustion engines and petroleum in transport? Appl Energy. 2018;225:965–74.

    Article  Google Scholar 

  5. 5.

    Elgowainy A, Han J, Ward J, Joseck F, Gohlke D, Lindauer A, et al. Current and future united states light-duty vehicle pathways: Cradle-to-Grave lifecycle greenhouse gas emissions and economic assessment. Environ Sci Technol. 2018;52(4):2392–9.

    CAS  PubMed  Article  Google Scholar 

  6. 6.

    ElGalad MI, El- Khatib KM, Abdelkader E, El-Araby R, ElDiwani G, Hawash SI. Empirical equations and economical study for blending biofuel with petroleum jet fuel. J Adv Res. 2018;9:43–50.

    CAS  PubMed  Article  Google Scholar 

  7. 7.

    Coulman B, Dalai A, Heaton E, Lee CP, Lefsrud M, Levin D, et al. Developments in crops and management systems to improve lignocellulosic feedstock production. Biofuels Bioprod Biorefin. 2013;7(5):582–601.

    CAS  Article  Google Scholar 

  8. 8.

    Vanholme R, Demedts B, Morreel K, Ralph J, Boerjan W. Lignin biosynthesis and structure. Plant Physiol. 2010;153(3):895–905.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  9. 9.

    Henson WR, Campbell T, DeLorenzo DM, Gao Y, Berla B, Kim SJ, et al. Multi-omic elucidation of aromatic catabolism in adaptively evolved Rhodococcus opacus. Metab Eng. 2018;49:69–83.

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Kurosawa K, Boccazzi P, de Almeida NM, Sinskey AJ. High-cell-density batch fermentation of Rhodococcus opacus PD630 using a high glucose concentration for triacylglycerol production. J Biotechnol. 2010;147:212–8.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Alvarez HM, Mayer F, Fabritius D, Steinbüchel A. Formation of intracytoplasmic lipid inclusions by Rhodococcus opacus strain PD630. Arch Microbiol. 1996;165(6):377–86.

    CAS  PubMed  Article  Google Scholar 

  12. 12.

    EIA U. US crude oil and natural gas proved reserves, year-end 2015. US Energy Information Administration; 2016.

  13. 13.

    Bardi U. Peak oil, 20 years later: failed prediction or useful insight? Energy Res Soc Sci. 2019;48:257–61.

    Article  Google Scholar 

  14. 14.

    Pu Y, Zhang D, Singh PM, Ragauskas AJ. The new forestry biofuels sector. Biofuels Bioprod Biorefin. 2008;2(1):58–73.

    CAS  Article  Google Scholar 

  15. 15.

    Ragauskas AJ, Williams CK, Davison BH, Britovsek G, Cairney J, Eckert CA, et al. The path forward for biofuels and biomaterials. Science. 2006;311(5760):484–9.

    CAS  Article  Google Scholar 

  16. 16.

    Vlachos DG, Chen JG, Gorte RJ, Huber GW, Tsapatsis M. Catalysis center for energy innovation for biomass processing: research strategies and goals. Catal Lett. 2010;140(3–4):77–84.

    CAS  Article  Google Scholar 

  17. 17.

    Regalbuto JR. Cellulosic biofuels—got gasoline. Science. 2009;325(5942):822–4.

    PubMed  Article  Google Scholar 

  18. 18.

    Kaparaju P, Serrano M, Thomsen AB, Kongjan P, Angelidaki I. Bioethanol, biohydrogen and biogas production from wheat straw in a biorefinery concept. Biores Technol. 2009;100(9):2562–8.

    CAS  Article  Google Scholar 

  19. 19.

    Ragauskas AJ, Beckham GT, Biddy MJ, Chandra R, Chen F, Davis MF, et al. Lignin valorization: improving lignin processing in the biorefinery. Science. 2014;344(6185):1246843.

    PubMed  Article  CAS  Google Scholar 

  20. 20.

    Balan V, Chiaramonti D, Kumar S. Review of US and EU initiatives toward development, demonstration, and commercialization of lignocellulosic biofuels. Biofuels Bioprod Biorefin. 2013;7(6):732–59.

    CAS  Article  Google Scholar 

  21. 21.

    Mottiar Y, Vanholme R, Boerjan W, Ralph J, Mansfield SD. Designer lignins: harnessing the plasticity of lignification. Curr Opin Biotechnol. 2016;37:190–200.

    CAS  PubMed  Article  Google Scholar 

  22. 22.

    Gou JY, Park S, Yu XH, Miller LM, Liu CJ. Compositional characterization and imaging of “wall-bound” acylesters of Populus trichocarpa reveal differential accumulation of acyl molecules in normal and reactive woods. Planta. 2008;229(1):15–24.

    CAS  PubMed  Article  Google Scholar 

  23. 23.

    Boerjan W, Ralph J, Baucher M. Lignin biosynthesis. Annu Rev Plant Biol. 2003;54(1):519–46.

    CAS  PubMed  Article  Google Scholar 

  24. 24.

    Montague L, Slayton A, Lukas J. Lignocellulosic biomass to ethanol process design and economics utilizing co-current dilute acid prehydrolysis and enzymatic hydrolysis for corn stover. NREL Technical Report 2002; 2002.

  25. 25.

    Gao Y, Beganovic M, Foston MB. Lignin conversion to fuels and chemicals. In: Valorization of lignocellulosic biomass in a biorefinery: from logistics to environmental and performance impact; 2016. p. 245–92.

  26. 26.

    Himmel ME, Ding SY, Johnson DK, Adney WS, Nimlos MR, Brady JW, Foust TD. Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science. 2007;315(5813):804–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Babu BV. Biomass pyrolysis: a state-of-the-art review. Biofuels Bioprod Biorefin. 2008;2(5):393–414.

    CAS  Article  Google Scholar 

  28. 28.

    Mohan D, Pittman CU, Steele PH. Pyrolysis of wood/biomass for bio-oil: a critical review. Energy Fuels. 2006;20(3):848–89.

    CAS  Article  Google Scholar 

  29. 29.

    Xu P, Li L, Zhang F, Stephanopoulos G, Koffas M. Improving fatty acids production by engineering dynamic pathway regulation and metabolic control. Proc Natl Acad Sci USA. 2014;111(31):11299–304.

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    Zakzeski J, Bruijnincx PCA, Jongerius AL, Weckhuysen BM. The catalytic valorization of lignin for the production of renewable chemicals. Chem Rev. 2010;110(6):3552–99.

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Zaheer M, Kempe R. Catalytic hydrogenolysis of aryl ethers: a key step in lignin valorization to valuable chemicals. ACS Catal. 2015;5(3):1675–84.

    CAS  Article  Google Scholar 

  32. 32.

    Chen H, Liu J, Chang X, Chen D, Xue Y, Liu P, et al. A review on the pretreatment of lignocellulose for high-value chemicals. Fuel Process Technol. 2017;160:196–206.

    CAS  Article  Google Scholar 

  33. 33.

    Bugg TD, Ahmad M, Hardiman EM, Rahmanpour R. Pathways for degradation of lignin in bacteria and fungi. Nat Prod Rep. 2011;28(12):1883–96.

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Li X, He Y, Zhang L, Xu Z, Ben H, Gaffrey MJ, et al. Discovery of potential pathways for biological conversion of poplar wood into lipids by co-fermentation of Rhodococci strains. Biotechnol Biofuels. 2019;12(1):60.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    Gasser CA, Hommes G, Schäffer A, Corvini PFX. Multi-catalysis reactions: new prospects and challenges of biotechnology to valorize lignin. Appl Microbiol Biotechnol. 2012;95(5):1115–34.

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Beckham GT, Johnson CW, Karp EM, Salvachúa D, Vardon DR. Opportunities and challenges in biological lignin valorization. Curr Opin Biotechnol. 2016;42:40–53.

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Lynd LR, Van Zyl WH, McBride JE, Laser M. Consolidated bioprocessing of cellulosic biomass: an update. Curr Opin Biotechnol. 2005;16(5):577–83.

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Linger JG, Vardon DR, Guarnieri MT, Karp EM, Hunsinger GB, Franden MA, et al. Lignin valorization through integrated biological funneling and chemical catalysis. Proc Natl Acad Sci. 2014;111:12013–8.

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Schwartz TJ, O’Neill BJ, Shanks BH, Dumesic JA. Bridging the chemical and biological catalysis gap: challenges and outlooks for producing sustainable chemicals. ACS Catal. 2014;4:2060–9.

    CAS  Article  Google Scholar 

  40. 40.

    Sheldon RA. Green and sustainable manufacture of chemicals from biomass: state of the art. Green Chem. 2014;16:950–63.

    CAS  Article  Google Scholar 

  41. 41.

    Taherzadeh MJ, Karimi K. Acid-based hydrolysis processes for ethanol from lignocellulosic materials: a review. BioResources. 2007;2:472–99.

    CAS  Google Scholar 

  42. 42.

    Rover MR, Johnston PA, Jin T, Smith RG, Brown RC, Jarboe L. Production of clean pyrolytic sugars for fermentation. Chemsuschem. 2014;7(6):1662–8.

    CAS  PubMed  Article  Google Scholar 

  43. 43.

    Okamura-Abe Y, Abe T, Nishimura K, Kawata Y, Sato-Izawa K, Otsuka Y, et al. Beta-ketoadipic acid and muconolactone production from a lignin-related aromatic compound through the protocatechuate 3,4-metabolic pathway. J Biosci Bioeng. 2016;121:652–8.

    CAS  PubMed  Article  Google Scholar 

  44. 44.

    Mycroft Z, Gomis M, Mines P, Law P, Bugg TDH. Biocatalytic conversion of lignin to aromatic dicarboxylic acids in Rhodococcus jostii RHA1 by re-routing aromatic degradation pathways. Green Chem. 2015;17:4974–9.

    CAS  Article  Google Scholar 

  45. 45.

    Matera I, Ferraroni M, Kolomytseva M, Golovleva L, Scozzafava A, Briganti F. Catechol 1,2-dioxygenase from the Gram-positive Rhodococcus opacus 1CP: quantitative structure/activity relationship and the crystal structures of native enzyme and catechols adducts. J Struct Biol. 2010;170:548–64.

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Weber C, Brückner C, Weinreb S, Lehr C, Essl C, Boles E. Biosynthesis of cis, cis-muconic acid and its aromatic precursors, catechol and protocatechuic acid, from renewable feedstocks by Saccharomyces cerevisiae. Appl Environ Microbiol. 2012;78:8421–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    Sonoki T, Morooka M, Sakamoto K, Otsuka Y, Nakamura M, Jellison J, et al. Enhancement of protocatechuate decarboxylase activity for the effective production of muconate from lignin-related aromatic compounds. J Biotechnol. 2014;192(Pt A):71–7.

    CAS  PubMed  Article  Google Scholar 

  48. 48.

    Wei Z, Zeng G, Huang F, Kosa M, Sun Q, Meng X, et al. Microbial lipid production by oleaginous Rhodococci cultured in lignocellulosic autohydrolysates. Appl Microbiol Biotechnol. 2015;99(17):7369–77.

    CAS  PubMed  Article  Google Scholar 

  49. 49.

    Wells T, Wei Z, Ragauskas A. Bioconversion of lignocellulosic pretreatment effluent via oleaginous Rhodococcus opacus DSM 1069. Biomass Bioenerg. 2015;72:200–5.

    CAS  Article  Google Scholar 

  50. 50.

    Linger JG, Vardon DR, Guarnieri MT, Karp EM, Hunsinger GB, Franden MA, et al. Lignin valorization through integrated biological funneling and chemical catalysis. Proc Natl Acad Sci. 2014;111(33):12013–8.

    CAS  PubMed  Article  Google Scholar 

  51. 51.

    Wei Z, Zeng G, Huang F, Kosa M, Huang D, Ragauskas AJ. Bioconversion of oxygen-pretreated Kraft lignin to microbial lipid with oleaginous Rhodococcus opacus DSM 1069. Green Chem. 2015;17(5):2784–9.

    CAS  Article  Google Scholar 

  52. 52.

    Wei Z, Zeng G, Kosa M, Huang D, Ragauskas AJ. Pyrolysis oil-based lipid production as biodiesel feedstock by Rhodococcus opacus. Appl Biochem Biotechnol. 2015;175(2):1234–46.

    CAS  PubMed  Article  Google Scholar 

  53. 53.

    Kurosawa K, Laser J, Sinskey AJ. Tolerance and adaptive evolution of triacylglycerol-producing Rhodococcus opacus to lignocellulose-derived inhibitors. Biotechnol Biofuels. 2015;8(1):76.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  54. 54.

    Yoneda A, Henson WR, Goldner NK, Park KJ, Forsberg KJ, Kim SJ, et al. Comparative transcriptomics elucidates adaptive phenol tolerance and utilization in lipid-accumulating Rhodococcus opacus PD630. Nucleic Acids Res. 2016;44(5):2240–54.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  55. 55.

    Wang B, Rezenom YH, Cho K-C, Tran JL, Lee DG, Russell DH, et al. Cultivation of lipid-producing bacteria with lignocellulosic biomass: effects of inhibitory compounds of lignocellulosic hydrolysates. Biores Technol. 2014;161:162–70.

    CAS  Article  Google Scholar 

  56. 56.

    Yang S, Franden MA, Yang Q, Chou Y-C, Zhang M, Pienkos PT. Identification of inhibitors in lignocellulosic slurries and determination of their effect on hydrocarbon-producing microorganisms. Front Bioeng Biotechnol. 2018;6:23.

    PubMed  PubMed Central  Article  Google Scholar 

  57. 57.

    Xie S, Sun Q, Pu Y, Lin F, Sun S, Wang X, et al. Advanced chemical design for efficient lignin bioconversion. ACS Sustain Chem Eng. 2017;5(3):2215–23.

    CAS  Article  Google Scholar 

  58. 58.

    Holder JW, Ulrich JC, DeBono AC, Godfrey PA, Desjardins CA, Zucker J, et al. Comparative and functional genomics of Rhodococcus opacus PD630 for biofuels development. PLoS Genet. 2011;7(9):e1002219.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. 59.

    Zhao C, Xie S, Pu Y, Zhang R, Huang F, Ragauskas AJ, et al. Synergistic enzymatic and microbial lignin conversion. Green Chem. 2016;18(5):1306–12.

    CAS  Article  Google Scholar 

  60. 60.

    Le RK, Wells T Jr, Das P, Meng X, Stoklosa RJ, Bhalla A, et al. Conversion of corn stover alkaline pre-treatment waste streams into biodiesel via Rhodococci. RSC Adv. 2017;7(7):4108–15.

    CAS  Article  Google Scholar 

  61. 61.

    He Y, Li X, Ben H, Xue X, Yang B. Lipid production from dilute alkali corn stover lignin by Rhodococcus strains. ACS Sustain Chem Eng. 2017;5(3):2302–11.

    CAS  Article  Google Scholar 

  62. 62.

    Xiong X, Wang X, Chen S. Engineering of a xylose metabolic pathway in Rhodococcus strains. Appl Environ Microbiol. 2012;78(16):5483–91.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  63. 63.

    Hetzler S, Bröker D, Steinbüchel A. Saccharification of cellulose by recombinant Rhodococcus opacus PD630 Strains. Appl Environ Microbiol. 2013;79(17):5159–66.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. 64.

    Kurosawa K, Plassmeier J, Kalinowski J, Rückert C, Sinskey AJ. Engineering l-arabinose metabolism in triacylglycerol-producing Rhodococcus opacus for lignocellulosic fuel production. Metab Eng. 2015;30:89–95.

    CAS  PubMed  Article  Google Scholar 

  65. 65.

    Chen Y, Ding Y, Yang L, Yu J, Liu G, Wang X, et al. Integrated omics study delineates the dynamics of lipid droplets in Rhodococcus opacus PD630. Nucleic Acids Res. 2014;42(2):1052–64.

    CAS  PubMed  Article  Google Scholar 

  66. 66.

    Alvarez AF, Alvarez HM, Kalscheuer R, Wältermann M, Steinbüchel A. Cloning and characterization of a gene involved in triacylglycerol biosynthesis and identification of additional homologous genes in the oleaginous bacterium Rhodococcus opacus PD630. Microbiology. 2008;154(8):2327–35.

    CAS  PubMed  Article  Google Scholar 

  67. 67.

    Tsitko IV, Zaitsev GM, Lobanok AG, Salkinoja-Salonen MS. Effect of aromatic compounds on cellular fatty acid composition of Rhodococcus opacus. Appl Environ Microbiol. 1999;65(2):853–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  68. 68.

    Kumar A, Kumar S, Kumar S. Biodegradation kinetics of phenol and catechol using Pseudomonas putida MTCC 1194. Biochem Eng J. 2005;22(2):151–9.

    CAS  Article  Google Scholar 

  69. 69.

    Arutchelvan V, Kanakasabai V, Elangovan R, Nagarajan S, Muralikrishnan V. Kinetics of high strength phenol degradation using Bacillus brevis. J Hazard Mater. 2006;129(1):216–22.

    CAS  PubMed  Article  Google Scholar 

  70. 70.

    Mahan KM, Le RK, Yuan J, Ragauskas AJ. A review on the bioconversion of lignin to microbial lipid with oleaginous. J Biotechnol Biomater. 2017;7(2):1.

    Article  Google Scholar 

  71. 71.

    Hollinshead WD, Henson WR, Abernathy M, Moon TS, Tang YJ. Rapid metabolic analysis of Rhodococcus opacus PD630 via parallel 13C-metabolite fingerprinting. Biotechnol Bioeng. 2016;113(1):91–100.

    CAS  PubMed  Article  Google Scholar 

  72. 72.

    Ravi K, Abdelaziz OY, Nöbel M, García-Hidalgo J, Gorwa-Grauslund MF, Hulteberg CP, et al. Bacterial conversion of depolymerized Kraft lignin. Biotechnol Biofuels. 2019;12(1):56.

    PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    DeLorenzo DM, Rottinghaus AG, Henson WR, Moon TS. Molecular toolkit for gene expression control and genome modification in Rhodococcus opacus PD630. ACS Synth Biol. 2018;7(2):727–38.

    CAS  PubMed  Article  Google Scholar 

  74. 74.

    Eulberg D, Schlomann M. The putative regulator of catechol catabolism in Rhodococcus opacus 1CP—an IclR-type, not a LysR-type transcriptional regulator. Antonie Van Leeuwenhoek. 1998;74(1–3):71–82.

    CAS  PubMed  Article  Google Scholar 

  75. 75.

    Di Canito A, Zampolli J, Orro A, D’Ursi P, Milanesi L, Sello G, et al. Genome-based analysis for the identification of genes involved in o-xylene degradation in Rhodococcus opacus R7. BMC Genomics. 2018;19(1):587.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  76. 76.

    Kitagawa W, Kimura N, Kamagata Y. A Novel p-nitrophenol degradation gene cluster from a gram-positive bacterium, Rhodococcus opacus sao101. j Bacteriol. 2004;186(15):4894–902.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. 77.

    Martinkova L, Uhnakova B, Patek M, Nesvera J, Kren V. Biodegradation potential of the genus Rhodococcus. Environ Int. 2009;35(1):162–77.

    CAS  PubMed  Article  Google Scholar 

  78. 78.

    Zaitsev GM, Uotila JS, Tsitko IV, Lobanok AG, Salkinoja-Salonen MS. Utilization of halogenated benzenes, phenols, and benzoates by Rhodococcus opacus GM-14. Appl Environ Microbiol. 1995;61(12):4191–201.

    CAS  PubMed  PubMed Central  Google Scholar 

  79. 79.

    van Kessel JC, Hatfull GF. Recombineering in Mycobacterium tuberculosis. Nat Methods. 2007;4(2):147–52.

    PubMed  Article  CAS  Google Scholar 

  80. 80.

    Larkin MJ, Kulakov LA, Allen CCR. Biodegradation and Rhodococcus—masters of catabolic versatility. Curr Opin Biotechnol. 2005;16(3):282–90.

    CAS  PubMed  Article  Google Scholar 

  81. 81.

    Ehrt S, Guo XV, Hickey CM, Ryou M, Monteleone M, Riley LW, et al. Controlling gene expression in mycobacteria with anhydrotetracycline and Tet repressor. Nucleic Acids Res. 2005;33(2):e21.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  82. 82.

    Kurosawa K, Wewetzer SJ, Sinskey AJ. Engineering xylose metabolism in triacylglycerol-producing Rhodococcus opacus for lignocellulosic fuel production. Biotechnol Biofuels. 2013;6(1):134.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Pátek M, Nešvera J. Promoters and plasmid vectors of Corynebacterium glutamicum. In: Yukawa H, Inui M, editors. Corynebacterium glutamicum. Microbiology monographs. Berlin: Springer; 2013. p. 51–88.

    Chapter  Google Scholar 

  84. 84.

    Zhang Y, Praszkier J, Hodgson A, Pittard AJ. Molecular analysis and characterization of a broad-host-range plasmid, pEP2. J Bacteriol. 1994;176(18):5718–28.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  85. 85.

    Vesely M, Patek M, Nesvera J, Cejkova A, Masak J, Jirku V. Host-vector system for phenol-degrading Rhodococcus erythropolis based on Corynebacterium plasmids. Appl Microbiol Biotechnol. 2003;61(5–6):523–7.

    CAS  PubMed  Article  Google Scholar 

  86. 86.

    Archer JA, Sinskey AJ. The DNA sequence and minimal replicon of the Corynebacterium glutamicum plasmid pSR1: evidence of a common ancestry with plasmids from C. diphtheriae. J Gen Microbiol. 1993;139(8):1753–9.

    CAS  PubMed  Article  Google Scholar 

  87. 87.

    Nesvera J, Patek M, Hochmannova J, Abrhamova Z, Becvarova V, Jelinkova M, et al. Plasmid pGA1 from Corynebacterium glutamicum codes for a gene product that positively influences plasmid copy number. J Bacteriol. 1997;179(5):1525–32.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  88. 88.

    Ellinger J, Schmidt-Dannert C. Construction of a BioBrick compatible vector system for Rhodococcus. Plasmid. 2017;90:1–4.

    CAS  PubMed  Article  Google Scholar 

  89. 89.

    Lessard PA, O’Brien XM, Currie DH, Sinskey AJ. pB264, a small, mobilizable, temperature sensitive plasmid from Rhodococcus. BMC Microbiol. 2004;4:15.

    PubMed  PubMed Central  Article  Google Scholar 

  90. 90.

    Ranes MG, Rauzier J, Lagranderie M, Gheorghiu M, Gicquel B. Functional analysis of pAL5000, a plasmid from Mycobacterium fortuitum: construction of a “mini” mycobacterium-Escherichia coli shuttle vector. J Bacteriol. 1990;172(5):2793–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  91. 91.

    Mahenthiralingam E, Draper P, Davis EO, Colston MJ. Cloning and sequencing of the gene which encodes the highly inducible acetamidase of Mycobacterium smegmatis. J Gen Microbiol. 1993;139(3):575–83.

    CAS  PubMed  Article  Google Scholar 

  92. 92.

    Timm J, Lim EM, Gicquel B. Escherichia coli—mycobacteria shuttle vectors for operon and gene fusions to lacZ: the pJEM series. J Bacteriol. 1994;176(21):6749–53.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  93. 93.

    Snapper SB, Melton RE, Mustafa S, Kieser T Jr, Jacobs WR Jr. Isolation and characterization of efficient plasmid transformation mutants of Mycobacterium smegmatis. Mol Microbiol. 1990;4(11):1911–9.

    CAS  PubMed  Article  Google Scholar 

  94. 94.

    Chiba K, Hoshino Y, Ishino K, Kogure T, Mikami Y, Uehara Y, et al. Construction of a pair of practical Nocardia-Escherichia coli shuttle vectors. Jpn J Infect Dis. 2007;60(1):45–7.

    CAS  PubMed  Google Scholar 

  95. 95.

    Tauch A, Kirchner O, Loffler B, Gotker S, Puhler A, Kalinowski J. Efficient electrotransformation of corynebacterium diphtheriae with a mini-replicon derived from the Corynebacterium glutamicum plasmid pGA1. Curr Microbiol. 2002;45(5):362–7.

    CAS  PubMed  Article  Google Scholar 

  96. 96.

    Hetzler S, Steinbüchel A. Establishment of cellobiose utilization for lipid production in Rhodococcus opacus PD630. Appl Environ Microbiol. 2013;79(9):3122–5.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  97. 97.

    Kalscheuer R, Arenskotter M, Steinbuchel A. Establishment of a gene transfer system for Rhodococcus opacus PD630 based on electroporation and its application for recombinant biosynthesis of poly(3-hydroxyalkanoic acids). Appl Microbiol Biotechnol. 1999;52(4):508–15.

    CAS  PubMed  Article  Google Scholar 

  98. 98.

    Hernandez MA, Arabolaza A, Rodriguez E, Gramajo H, Alvarez HM. The atf2 gene is involved in triacylglycerol biosynthesis and accumulation in the oleaginous Rhodococcus opacus PD630. Appl Microbiol Biotechnol. 2013;97(5):2119–30.

    CAS  PubMed  Article  Google Scholar 

  99. 99.

    Lanfranconi MP, Alvarez HM. Rewiring neutral lipids production for the de novo synthesis of wax esters in Rhodococcus opacus PD630. J Biotechnol. 2017;260:67–73.

    CAS  PubMed  Article  Google Scholar 

  100. 100.

    Nga DP, Altenbuchner J, Heiss GS. NpdR, a repressor involved in 2,4,6-trinitrophenol degradation in Rhodococcus opacus HL PM-1. J Bacteriol. 2004;186(1):98–103.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  101. 101.

    Pelicic V, Reyrat JM, Gicquel B. Expression of the Bacillus subtilis sacB gene confers sucrose sensitivity on mycobacteria. J Bacteriol. 1996;178(4):1197–9.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  102. 102.

    Nakashima N, Tamura T. A novel system for expressing recombinant proteins over a wide temperature range from 4 to 35°C. Biotechnol Bioeng. 2004;86(2):136–48.

    CAS  PubMed  Article  Google Scholar 

  103. 103.

    Dong L, Nakashima N, Tamura N, Tamura T. Isolation and characterization of the Rhodococcus opacus thiostrepton-inducible genes tipAL and tipAS: application for recombinant protein expression in Rhodococcus. FEMS Microbiol Lett. 2004;237(1):35–40.

    CAS  PubMed  Article  Google Scholar 

  104. 104.

    DeLorenzo DM, Henson WR, Moon TS. Development of chemical and metabolite sensors for Rhodococcus opacus PD630. ACS Synth Biol. 2017;6(10):1973–8.

    PubMed  Article  CAS  Google Scholar 

  105. 105.

    Kowalczykowski SC, Dixon DA, Eggleston AK, Lauder SD, Rehrauer WM. Biochemistry of homologous recombination in Escherichia coli. Microbiol Rev. 1994;58(3):401–65.

    CAS  PubMed  PubMed Central  Google Scholar 

  106. 106.

    Furuya N, Komano T. Initiation and termination of DNA transfer during conjugation of IncI1 plasmid R64: roles of two sets of inverted repeat sequences within oriT in termination of R64 transfer. J Bacteriol. 2000;182(11):3191–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  107. 107.

    Sugar IP, Neumann E. Stochastic model for electric field-induced membrane pores electroporation. Biophys Chem. 1984;19(3):211–25.

    CAS  PubMed  Article  Google Scholar 

  108. 108.

    Gilman J, Love J. Synthetic promoter design for new microbial chassis. Biochem Soc Trans. 2016;44(3):731–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  109. 109.

    Coussement P, Bauwens D, Maertens J, De Mey M. Direct combinatorial pathway optimization. ACS Synth Biol. 2017;6(2):224–32.

    CAS  PubMed  Article  Google Scholar 

  110. 110.

    Desomer J, Crespi M, Van Montagu M. Illegitimate integration of non-replicative vectors in the genome of Rhodococcus fascians upon electrotransformation as an insertional mutagenesis system. Mol Microbiol. 1991;5(9):2115–24.

    CAS  PubMed  Article  Google Scholar 

  111. 111.

    Larson MH, Gilbert LA, Wang X, Lim WA, Weissman JS, Qi LS. CRISPR interference (CRISPRi) for sequence-specific control of gene expression. Nat Protoc. 2013;8(11):2180–96.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  112. 112.

    Rock JM, Hopkins FF, Chavez A, Diallo M, Chase MR, Gerrick ER, et al. Programmable transcriptional repression in mycobacteria using an orthogonal CRISPR interference platform. Nat Microbiol. 2017;2:16274.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  113. 113.

    DeLorenzo DM, Moon TS. Selection of stable reference genes for RT-qPCR in Rhodococcus opacus PD630. Sci Rep. 2018;8(1):6019.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  114. 114.

    Gill JJ, Wang B, Sestak E, Young R, Chu K-H. Characterization of a novel tectivirus phage toil and its potential as an agent for biolipid extraction. Scientific Rep. 2018;8(1):1062.

    Article  CAS  Google Scholar 

  115. 115.

    Kurosawa K, Wewetzer SJ, Sinskey AJ. triacylglycerol production from corn stover using a xylose-fermenting Rhodococcus opacus strain for lignocellulosic biofuels. J Microbial Biochem Technol. 2014;6(5):254–9.

    CAS  Article  Google Scholar 

  116. 116.

    Suwaleerat T, Thanapimmetha A, Srisaiyoot M, Chisti Y, Srinophakun P. Enhanced production of carotenoids and lipids by Rhodococcus opacus PD630. J Chem Technol Biotechnol. 2018;93(8):2160–9.

    CAS  Article  Google Scholar 

  117. 117.

    Herrero OM, Moncalián G, Alvarez HM. Physiological and genetic differences amongst Rhodococcus species for using glycerol as a source for growth and triacylglycerol production. Microbiology. 2016;162(2):384–97.

    CAS  PubMed  Article  Google Scholar 

  118. 118.

    Goswami L, Tejas Namboodiri MM, Vinoth Kumar R, Pakshirajan K, Pugazhenthi G. Biodiesel production potential of oleaginous Rhodococcus opacus grown on biomass gasification wastewater. Renew Energy. 2017;105:400–6.

    CAS  Article  Google Scholar 

  119. 119.

    Kurosawa K, Radek A, Plassmeier JK, Sinskey AJ. Improved glycerol utilization by a triacylglycerol-producing Rhodococcus opacus strain for renewable fuels. Biotechnol Biofuels. 2015;8:31.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  120. 120.

    Huang L, Zhao L, Zan X, Song Y, Ratledge C. Boosting fatty acid synthesis in Rhodococcus opacus PD630 by overexpression of autologous thioesterases. Biotech Lett. 2016;38(6):999–1008.

    CAS  Article  Google Scholar 

  121. 121.

    Herrero OM, Alvarez HM. Whey as a renewable source for lipid production by Rhodococcus strains: physiology and genomics of lactose and galactose utilization. Eur J Lipid Sci Technol. 2016;118(2):262–72.

    CAS  Article  Google Scholar 

  122. 122.

    Herrero OM, Villalba MS, Lanfranconi MP, Alvarez HM. Rhodococcus bacteria as a promising source of oils from olive mill wastes. World J Microbiol Biotechnol. 2018;34(8):114.

    PubMed  Article  CAS  Google Scholar 

  123. 123.

    Sainsbury PD, Hardiman EM, Ahmad M, Otani H, Seghezzi N, Eltis LD, et al. Breaking down lignin to high-value chemicals: the conversion of lignocellulose to vanillin in a gene deletion mutant of Rhodococcus jostii RHA1. ACS Chem Biol. 2013;8(10):2151–6.

    CAS  PubMed  Article  Google Scholar 

  124. 124.

    Salvachúa D, Johnson CW, Singer CA, Rohrer H, Peterson DJ, Black BA, et al. Bioprocess development for muconic acid production from aromatic compounds and lignin. Green Chem. 2018;20(21):5007–19.

    Article  Google Scholar 

  125. 125.

    Becker J, Kuhl M, Kohlstedt M, Starck S, Wittmann C. Metabolic engineering of Corynebacterium glutamicum for the production of cis, cis-muconic acid from lignin. Microb Cell Fact. 2018;17(1):115.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  126. 126.

    Shi Y, Yan X, Li Q, Wang X, Xie S, Chai L, et al. Directed bioconversion of Kraft lignin to polyhydroxyalkanoate by Cupriavidus basilensis B-8 without any pretreatment. Process Biochem. 2017;52:238–42.

    CAS  Article  Google Scholar 

  127. 127.

    Bradfield MF, Mohagheghi A, Salvachúa D, Smith H, Black BA, Dowe N, et al. Continuous succinic acid production by Actinobacillus succinogenes on xylose-enriched hydrolysate. Biotechnol Biofuels. 2015;8(1):181.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

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The authors thank members of the Moon, Dantas, and Foston research groups for scientific discussions.


US Department of Energy [DE-SC0018324 to M.F., G.D., and T.S.M.].

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All authors contributed text to the manuscript. WEA generated the figure. All authors read and approved the final manuscript.

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Correspondence to Tae Seok Moon or Gautam Dantas.

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Anthony, W.E., Carr, R.R., DeLorenzo, D.M. et al. Development of Rhodococcus opacus as a chassis for lignin valorization and bioproduction of high-value compounds. Biotechnol Biofuels 12, 192 (2019).

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  • Rhodococcus opacus PD630
  • Non-model organism
  • Lignocellulose
  • Lignin
  • Biofuel
  • Bioproduct
  • Aromatic compound
  • Genetic tool
  • Thermochemical conversion
  • Biological conversion