Abstract
Microbial production of chemicals using renewable feedstocks such as glucose has emerged as a green alternative to conventional chemical production processes that rely primarily on petroleum-based feedstocks. The carbon footprint of such processes can further be reduced by using engineered cells that harness solar energy to consume feedstocks traditionally considered to be wastes as their carbon sources. Photosynthetic bacteria utilize sophisticated photosystems to capture the energy from photons to generate reduction potential with such rapidity and abundance that cells often cannot use it fast enough and much of it is lost as heat and light. Engineering photosynthetic organisms could enable us to take advantage of this energy surplus by redirecting it toward the synthesis of commercially important products such as biofuels, bioplastics, commodity chemicals, and terpenoids. In this work, we review photosynthetic pathways in aerobic and anaerobic bacteria to better understand how these organisms have naturally evolved to harness solar energy. We also discuss more recent attempts at engineering both the photosystems and downstream reactions that transfer reducing power to improve target chemical production. Further, we discuss different methods for the optimization of photosynthetic bioprocess including the immobilization of cells and the optimization of light delivery. We anticipate this review will serve as an important resource for future efforts to engineer and harness photosynthetic bacteria for chemical production.
Introduction
Societal dependence on fossil fuels is extensive and commonplace. This can be inferred from their widespread use in diverse applications including power, transportation, heating, and in the manufacture of plastics and beauty products. In an analysis using 2013 data, it was estimated that over 800 megatons of the chemical products we use annually are produced using petrochemical feedstocks (Levi and Cullen, 2018). Considering fossil fuels as a resource are finite and its extraction and use is a known contributor to the accumulation of greenhouse gases, finding viable alternative energy sources and chemical feedstocks is a challenge facing this generation.
Solar energy, as the most abundant energy source available on Earth (), usually elicits images of large expanses of buzzing, black panels of photovoltaic cells which convert the energy from solar rays into electricity. However, the world’s oldest photovoltaic cells evolved within living organisms— the photosystems of photosynthetic bacteria capture photons to provide themselves the energy required for survival. Harnessing their ability to harvest solar energy and using it to produce the chemicals humans use daily could turn these bacteria into solar-powered microbial cell factories. If chemicals could be produced through this method at high enough yields and rates to be economically viable, a new era of consumerism could be ushered in— one that is both carbon-neutral and completely renewable.
Finding new pathways in photosynthetic organisms to convert substrates to valuable products is an area that has garnered a great deal of interest in recent years (Scholes et al., 2011; ; ; Knoot et al., 2018; ; Tiang et al., 2020). While processes using alternative substrates are also being developed in non-photosynthetic microbes, the most widely used carbon feedstock industrially is glucose from molasses or starch (Wendisch et al., 2016). Feedstock costs constitute most of the operating costs of a biological process and, on a large scale, this can be prohibitive unless the product value is high (). Alternatively, anthropogenic CO2 or wastewater streams could be used as the feedstock to synthesize chemicals using photosynthetic organisms. Considering large companies pay for the wastewater treatment of their processes and for the offset of their carbon emissions, using them as inputs to bioprocesses could have the potential to be both economically and ecologically lucrative in that they would both treat waste and output a product.
Typically, “photosynthesis” refers to oxygenic photosynthesis: the process performed by plants, algae, and cyanobacteria that generates oxygen through water splitting. This process is credited to having caused the oxygenation of Earth that made multicellular life possible over 500 million years ago (Madigan et al., 2010a) and continues to do so to this day. However, this process is theorized to have evolved 3.5 billion years ago from the lesser-known anoxygenic photosynthesis, a form that does not produce oxygen (; Madigan et al., 2010a; ). Cyanobacteria are the only bacteria that perform oxygenic photosynthesis and they are an appealing chassis for biotechnological applications due to their genetic tractability particularly when compared to organisms like plants and algae (Jensen and Leister, 2014; Knoot et al., 2018; ). Purple non-sulfur bacteria (PNSB) perform anoxygenic photosynthesis and are attractive for engineering because of their anaerobicity, metabolic versatility, and ability to naturally produce hydrogen (Tiang et al., 2020). Also, because they have been used as a model for the study of photosynthesis, their photosystems are generally well-understood (Yang et al., 2017; ).
This review will look at both oxygenic and anoxygenic photosynthesis focusing on cyanobacteria and PNSB and consider how the different photosynthetic systems are being used and engineered both on a genetic level and a bioprocess level to overproduce native chemicals or to divert electrons toward heterologous products. When developing a bioprocess, an engineer must take a holistic approach: from organism selection based on biological strengths, to considerations of internal cellular processes, and finally to the design of the overall process. The electron transport chains of oxygenic and anoxygenic photosynthesis are similar but have several distinctions that would serve different applications. The complexes that drive photosynthesis can be engineered for increased electron flux to downstream cellular processes such as for the production of chemicals through the introduction of heterologous pathways. Additionally, external factors such as photobioreactor design can affect production as cells react to their environment and, as such, is a significant consideration. This review will examine each of these areas with the overarching goal of bioprocess design for solar-powered cell factories.
A Comparison of Oxygenic and Anoxygenic Photosynthesis
From a high-level perspective, photosystems can be likened to photovoltaic cells: solar energy packets known as quanta (Madigan et al., 2010b) are converted into electrical energy within photosystems, transferred along the electron transport chain (ETC), and ultimately stored in chemical bonds in energy carriers like ATP and NADH or NADPH for later use. The photosystem consists of light-harvesting complexes arranged around a reaction center similar in appearance to petals around a sunflower and in function to an antenna (Figure 1A). The reaction center is where solar energy is used to excite an electron and initiate the action of the ETC, but the majority of energy needed to do this is transferred from the antenna, which increases the cross-section for light absorption by approximately 100 times (Scholes et al., 2011).
FIGURE 1
Each reaction center is surrounded by a variety of nearly 200 choromophores (colored pigments like carotenoids, phycobilins, and chlorophyll or bacteriochlorophyll) bound in light harvesting complexes (Scholes et al., 2011). Different organisms contain different combinations of chromophores and, therefore, different ranges of absorbable light wavelengths, depending on their evolutionary history (
Oxygenic photosynthesis (Figure 1B) has a two-stage process of electron excitation found in plants, algae, and cyanobacteria. Solar energy is absorbed by the antenna-like light-harvesting complexes that surround the reaction center of Photosystem II (PSII) and transferred by resonance energy transfer to its reaction center where this energy is used to break the O-H bond in water, releasing molecules of dioxygen (O2), protons (H+), and electrons (e–). The electrons begin to travel down the ETC and the protons create an electrochemical gradient across the thylakoid membrane. First, the electrons are transferred to a pool of plastoquinone (PQ), reducing it to plastoquinol (PQH2). PQH2 can then diffuse through the membrane to transfer electrons to the cytochrome b6f complex. Ultimately, one electron ends up being transferred to photosystem I (PSI) by diffusion of either cytochrome c6 or plastocyanine depending on the organism expression (Lea-Smith et al., 2016). Once in PSI, the electron is re-excited by the absorption of solar energy. The electron is then transferred by diffusion of ferredoxin to reduce NADP+ via the enzyme ferredoxin-NADP+ reductase (Lea-Smith et al., 2016).
Anoxygenic photosynthesis (Figure 1C) such as that performed by PNSB is arguably a simpler process with only one stage of electron excitation and cyclic electron flow to generate the proton motive force necessary for ATP production. Just as in the oxygenic process, solar energy is absorbed by the light-harvesting complexes and transferred to the reaction center to excite an electron, but this electron is then transferred to the quinone pool. From there, electron pairs are transferred to the cytochrome bc1 complex to pump protons across the membrane, then on to cytochrome c2, and back to the reaction center in a cyclic process to generate a proton motive force that drives ATP production. Another differentiation from oxygenic photosynthesis is that there can be reverse electron flow in anoxygenic photosynthesis when there is sufficient build-up in the quinone pool: electrons travel against the thermodynamic gradient, driven by the energy of the proton motive force toward NADH dehydrogenase to generate NADH from NAD+ (Madigan et al., 2010b;
Anoxygenic photosynthesis may only have one stage of light harvesting but it requires less ubiquitous, more reduced molecules than water as an electron donor, the donor for oxygenic photosynthesis. However, PNSB are widely considered among the most metabolically diverse groups of bacteria (Larimer et al., 2004; Pechter et al., 2016; Imhoff, 2017). Using light as their energy source and organic carbons as both the electron donor and carbon source, photoheterotrophy is the preferred mode of growth but PNSB can switch between any of the metabolic modes that support life: photoautotrophy, photoheterotrophy, chemoautotrophy, and chemoheterotrophy (Imhoff, 2017). This metabolic versatility is one aspect that makes it attractive for engineering not only because of the breadth of opportunities for products but also because of the possibilities for feedstocks. PNSB have been studied extensively for wastewater cleanup (
The origin of photosynthesis and how it has evolved is a subject that has been studied for decades and has yet to reach definitive conclusions (
Knowing the origins and motives behind these organisms operating the way they do is important in biological process development, particularly when engineering an organism. Selecting an organism that functions on either oxygenic or anoxygenic photosynthesis depends upon the application an engineer is designing for. For example, if a product or process is sensitive to oxygen, such as enzymes used in the production of butanol (Lan and Liao, 2011), perhaps the process would be better suited to the anoxygenic PNSB. Or, if a process is being designed around the consumption of CO2 and it is not an ideal situation to provide a separate electron donor [which is required for PNSB to reduce CO2 (Larimer et al., 2004)], then perhaps the process would be better suited to cyanobacteria. In any case, photosynthetic organisms have evolved to sustain their own growth and metabolic processes necessary for survival not to maximize chemical production. They would, thus, need to be engineered to maximize their capacity for industrial process scales starting with solar energy capture.
Engineering Photosynthesis
In photosynthetic organisms, it is estimated that as much as 75% of incident photon flux is in excess (Lüttge, 2011). As a result, they have evolved methods like safety valves to regulate, reroute, and dissipate the excessive electrons excited within their reaction centers (Scholes et al., 2011). If these electrons could be redirected toward an alternative pathway or if the bottleneck to their usage could be removed, there could be an uptick in the potential for commercial viability.
One of the most notorious bottlenecks in photosynthesis is the first enzyme in the carbon fixation cycle: ribulose-1,5-bisphosphate carboxylase-oxygenase, also known as RuBisCO. RuBisCo is a large enzyme that can only process about three molecules of CO2 every second, which is a fraction of the substrate a typical enzyme can process (
Bypassing carbon fixation by providing electrons with an alternative pipeline directly from the ETC is also a tactic being investigated. An example demonstrating this is the insertion of the mammalian cytochrome P450 CYP1A1 into cyanobacterium Synechococcus PCC 7002 as an artificial electron sink for excess electrons (
FIGURE 2

The production of H2 gas from the nitrogenase enzyme in PNSB under photoheterotrophic conditions. In wild-type PNSB, (a) the nitrogenase enzyme is expressed for N2 fixation when a more reduced nitrogen compound is not available. In mutant PNSB with the nitrogenase enzyme obligately expressed and more reduced nitrogen compounds are provided, (b) N2 does not need to be fixed and additional H2 can be produced using the same amount of ATP.
The ETC itself has also been demonstrated to be a potential bottleneck to increased electron flux capacity. Investigating the difference between the cyanobacteria Synechococcus 7942 and the faster growing Synechococcus 2973, researchers concluded that there is a bottleneck following PSII: there are insufficient electron carriers to continue down the ETC in the slower growing strain— the faster strain had a higher expression of PSI, cytochrome b6f, and plastocyanin on a per cell basis (Ungerer et al., 2018). Similarly, in PNSB, using a computational genome scale metabolic model, it was shown that the quinol oxidation rate was a determining factor for energy production from the ETC (
Another method being used to engineer organisms for industrial applications is adjusting the photochemistry of photosynthesis (i.e., engineering the complexes and antennae of light absorption). As mentioned previously, most of the photon flux incident on the light harvesting complexes are in excess. However, only a small portion of those photons are within the range of wavelengths absorbable by the antenna. In cyanobacteria, PSII absorbs wavelengths around 680 nm and PSI absorbs around 700 nm, which means they often compete for photons of similar wavelength (
Increasing the electron flux down the ETC increases the capacity for solar harvesting in photosynthetic bacteria and maximizes the generation of reducing equivalents— essentially optimizing the upstream process of a photosynthetic organism. Ultimately, this would be for naught if the downstream process is not also optimized. Whether generating a new pathway for product formation or increasing the formation of natural products, metabolic bottlenecks in the transfer of electrons in the upstream process to ultimate product formation need to be resolved.
Engineering Electron Pathways for Product Formation
Conventionally, genetic modifications used a combination of random mutations and phenotypic screening methods (Nielsen, 2001) but numerous sophisticated tools and procedures have since been developed and the field has expanded. Using synthetic biology tools like regulating transcription or translation and modifying genetic material through the insertion or deletion of genes (
FIGURE 3

Solar-powered microbial cell factories: Cell A is the wild type organism that takes the carbon source, energy, and electrons and converts them to Product 1 via Enzyme 1. Cell B has had two heterologous enzymes (Enzyme 2 and Enzyme 3) inserted into the cell that produce Product 3 via the original Product 1. Cell C has silenced Enzyme 1 such that no or minimal Product 1 is produced in favor of Product 2 via the inserted non-native Enzyme 2. Cell D has overexpressed Enzyme 1 such that native Product 1 is overproduced.
The model organisms of metabolic engineering are the prokaryotic bacteria Escherichia coli (E. coli) and the eukaryotic yeast Saccharomyces cerevisiae (S. cerevisiae). They became model organisms mainly due to the speed at which they grow and the ease with which they can be handled but also because use begets more use. The more they were used for this application as the field was developing in the 1970s and 1980s, the more was known about them and the further technology was developed around them (Woolston et al., 2013). Other bacteria have also been used on a smaller scale for metabolic engineering for reasons such as their ability to grow at higher temperatures for faster reaction rates (e.g., thermophiles) or to use alternative feedstocks (e.g., CO2) (Woolston et al., 2013). However, in other organisms, synthetic biology tools have been reported to behave differently than they do in E. coli (
The engineering of photosynthetic organisms to produce heterologous products involves redirecting the electrons and energy generated from photosynthesis away from native pathways and toward more industrially advantageous products. Among photosynthetic microbes, cyanobacteria are the model organisms for metabolic engineering due to their genetic tractability and ability to produce valuable products using only CO2 and light (Jensen and Leister, 2014; Knoot et al., 2018; Xia et al., 2019;
TABLE 1
| Organism | Product | Method | Titer | References |
| Synechococcus 7942 | 2,3-Butanediol | Insertion of galP, zwf, gnd Overexpression of prk, rbcLXS Deletion of cp12 | 12.6 g/L | Kanno et al., 2017 |
| Butanol | Insertion of nphT7, pduP, phaB, phaJ, ter, yqhD | 0.4 g/L | Lan et al., 2013 | |
| Ethanol | Insertion and overexpression of pdc-adh Deletion glgC Supplementation of cofactors (Mg+2, Zn+2, thiamine pyrophosphate, and NADP+) | 3.9 g/L | Velmurugan and Incharoensakdi, 2020 | |
| Glycerol | Insertion of gpd1, hor2 | 1.2 g/L | ||
| Isobutanol | Insertion of alsS, ilvCD, kivD, yqhD Deletion of glgC | 0.6 g/L | Li et al., 2014 | |
| Isobutyraldehyde | Overexpression of RuBisCo Insertion of alsS, kivD, ilvCD, rbcLS | 1.1 g/L | ||
| Isoprene | Overexpression of dxs and ispG Fused proteins IspS-IDI | 1.3 g/L | ||
| Isopropanol | Insertion of thlA, atoAD’, adc, adhE Overexpressing pdhABCD | 0.3 g/L | ||
| 1,3-Propanediol | Insertion of dhaB1, dhaB2, dhaB3, gdrA, gdrB, yqhD | 1.2 g/L | ||
| Squalene | Overexpression of dxs, idi Expression of ispA and CpcB1-SF-SQS fusion protein | 12.0 mg/L | ||
| Sucrose | Expression of cscB Deletion of invA, glgC | 2.6 g/L | ||
| Synechococcus 7002 | 2,3-Butanediol | Insertion of alsD, adh | 1.6 g/L | Nozzi et al., 2017 |
| Fatty acid | Insertion and overexpression rbcLS | 0.1 g/L | Ruffing, 2014 | |
| L-Lysine | Insertion of ybjE, lysC | 0.4 g/L | Korosh et al., 2017 | |
| Mannitol | Insertion of mlp, mtlD | 1.1 g/L | Jacobsen and Frigaard, 2014 | |
| Synechocystis 6803 | Acetone | Expression of ctfAB, adc Deletion of phaCE, pta | 36.0 mg/L | Zhou et al., 2012 |
| Alkene | Overexpression of sll0208 and sll0209 | 26.0 mg/L | Wang et al., 2013 | |
| Ethanol | Insertion of pdc, slr1192 Silencing of slr9394 | 5.5 g/L | ||
| Fatty acid | Insertion of tesA Deletion of slr1609 | 0.2 g/L | Liu et al., 2011 | |
| 3-hydroxybutyrate | Insertion of phaA, phaB1, and tesB Deletion of phaEC | 1.8 g/L | Wang et al., 2018 | |
| 3-Hydroxypropionic acid | Insertion of mcr, pntAB, accBCAD, birA | 0.8 g/L | Wang et al., 2016 | |
| Isobutanol | Insertion of kivd, yqhD | 0.3 g/L | Miao et al., 2017 | |
| Lactic Acid | Insertion of ldh, pyk Deletion of ppc | 0.8 g/L | ||
| Limonene | Overexpression of rpi and rpe Insertion of gpps | 6.7 mg/L | Lin et al., 2017 | |
| Synechococcus 2973 | Sucrose | Expression of cscB Overexpression of sps and spp | 8 g/L | Lin et al., 2020 |
Cyanobacteria as cell factories: the production of heterologous products via genetic modification and the production titers thereof.
Facing similar difficulties, engineering the anoxygenic organism PNSB is an even more recent endeavor. However, interest in PNSB for its intrinsic ability to produce a commercially important product precedes efforts to engineer the organism itself. PNSB are naturally able to produce hydrogen gas as a by-product of nitrogen fixation and as an alternative pathway for an electron sink when there is an excess of electrons from photosynthesis (
More recently, interest in PNSB has shifted to other marketable products that are heterologous such as terpenoids, non-native carotenoids, and biofuels (Table 2). The sesquiterpenoids valencene (citrus flavor) and patchoulol (patchouli scent) are being produced in Rhodobacter sphaeroides on an industrial scale (Schempp et al., 2018). Carotenoids are commonly used as pigments, but they are also antioxidants that are used in health supplements (
TABLE 2
| Organism | Product | Method | Titer | References |
| Rhodobacter Sphaeroides Rs265 | Amorphadiene | Expression of ads and MVA pathway (mvaA, idi, hcs, mvk, pmk, mvd) ( | 46.1 mg/L | Orsi et al., 2020a |
| Coenzyme Q10 | Overexpression of crtE and ppsR Deletion of crtB, crtC, crtD and crtI | 73.2 mg/L | Zhu et al., 2017 | |
| Lycopene | Insertion of crtI4 and dxs Deletion of crtI3, crtC, and zwf | 66.0 mg/L | Su et al., 2018 | |
| Sesquiterpene | Insertion of MVA pathway (mvaA, idi, hcs, mvk, pmk, mvd) ( | 7.0 mg/L | Orsi et al., 2020b | |
| Valencene | Insertion of CnVS and MVA pathway (mvaA, idi, hcs, mvk, pmk, mvd) ( | 0.4 g/L | ||
| Rhodobacter sphaeroides HY01 | Hydrogen | Overexpression of atp (F1 operon) | 8.5 LH2/L | Zhang et al., 2016a |
| Rhodobacter sphaeroides HJ | Poly(3-hydroxybutyrate) | Insertion of phaA3, phaB2, and phaC1 Deletion of phaZ | 1.9 g/L | Kobayashi and Kondo, 2019 |
| Rhodobacter capsulatus SB1003 | Botryococcene | Insertion of dxs, idi, fps | 0.1 g/L | Khan et al., 2015 |
| Hydrogen | Deletion of mmsa | 4.7 LH2/L | Zhang et al., 2016b | |
| Patchoulol | Insertion of P, ispA, dxs and idi, and MVA pathway (mvaA, idi, hcs, mvk, pmk, mvd) ( | 24 mg/L | Troost et al., 2019 | |
| Valencene | Insertion of CnVS, ispA, and MVA pathway (mvaA, idi, hcs, mvk, pmk, mvd) ( | 18 mg/L | Troost et al., 2019 | |
| Rhodopseudomonas palustris TIE-1 | Squalene | Expression of dxs and a fused crtE-hpnD Deletion of shc | 15.8 mg/g DCW | Xu et al., 2016 |
| Rhodopseudomonas palustris CGMCC 1.2180 | Methane | Mutation of nifD at V75A and H201Q | 144 nmol/mg total protein | Ma et al., 2020 |
| Rhodopseudomonas palustris CGA009 | Butanol | Insertion of adhE2 | 0.1 g/L | |
| Hydrogen | Expression of nifA Deletion of draT2 | 1.3 LH2/L | Wu et al., 2016 | |
| Rhodopseudomonas palustris CEA1001 | Canthaxanthin | Insertion of crtY, and crtW Deletion of crtC and crtD | 0.8 mg/L | |
| β-carotene | Insertion of crtY, and crtW Deletion of crtC and crtD | 4.7 mg/L | ||
| Lycopene | Deletion of crtC and crtD | 7.2 mg/L | ||
| Rhodospirillum rubrum S1 | Lycopene | Deletion of crtC and crtD | 15 mg/L | Wang et al., 2012 |
Purple non-sulfur bacteria as cell factories: the production of heterologous products and overexpression of native products via genetic modification and the production titers thereof.
The ability to produce marketable products on a small scale is an important step in the development of an industrial process but this process must be scalable. A common issue with failed process scale-ups is the development of a microbial strain without consideration for how suitable it would be for industrial production (
Engineering Light Delivery Systems
Engineering the internal chemistry of an organism to produce heterologous compounds or to increase the production of natural compounds is certainly essential in the development of economically viable bioprocesses. However, the external environment, in the form of reactor design and process optimization, also has a significant impact on product formation. Factors including light intensity and penetration as well as cell immobilization affect the metabolism of cells and, therefore, product formation.
One of the most important considerations in terms of reactor design for photosynthetic organisms is that of light delivery. Due to cell shading and light scattering, there is attenuation of light from the source into the depths of a reactor, particularly when the process liquid is turbid. Hence, delivering light uniformly and at an effective intensity can be a challenge. This challenge is one that the algae industry has been facing for many years. The most common system for algal growth is the outdoor raceway pond and other such open systems as they are the most economical and simple to operate (Nwoba et al., 2019). However, in addition to the issue of light attenuation, open systems are more difficult to scale up. Moreover, it is difficult to implement systems for pH or temperature control and maintain sterility in such systems (McBride and Merrick, 2014). When developing a process around an engineered organism, these factors are important to account for, and an open system would likely not be a practical or, ultimately, economical option if the engineered organism is outcompeted by wild bacteria. Developing methods for improving light delivery in a closed system has been a focus in the field of algal technology and one which has extended to use for other photosynthetic organisms (Heimann, 2016; Nwoba et al., 2019).
One of the techniques proposed for uniform light distribution is to grow cells on the surface on which light is incident using waveguide technology (Jung et al., 2012;
Most bacterial cells naturally aggregate in a biofilm by excreting an extracellular polymeric matrix to adhere to surfaces and to each other (
In addition to providing energy, light can be used as an engineering technique. Considering that the full spectrum of light is not absorbed by a photosynthetic organism and that different photosystems have evolved to preferentially absorb certain wavelengths and light intensities (
Similar to the effects of wavelength, light intensity also affects gene expression in a photosynthetic organism. PNSB grow additional light harvesting complexes (pigments and carotenoids) around their photosynthetic reaction centers in the presence of low light intensity (
While bioreactors are often considered merely vessels for cellular growth, the way they are designed and operated affect the internal processes of the cell through upregulation or downregulation of genes in response to their environment. The availability, intensity, and wavelength of light inside a photobioreactor affect the structure and quantity of solar harvesting complexes for photosynthesis, which impacts the energy and electrons available for downstream cellular processes. Likewise, cellular immobilization can make cells more resilient to sudden changes in temperature, pH, and nutrient availability by creating a microenvironment separate from the reactor bulk fluid and where there is a division of labor among the individual cells (
Conclusion
To “begin with the end in mind” is an approach recommended when the overall goal is large-scale production (
A simple explanation of the differences between oxygenic and anoxygenic photosynthetic organisms is that oxygenic photosynthesis, such as that performed by cyanobacteria, evolves oxygen from the splitting of water molecules whereas anoxygenic photosynthesis, such as that performed by purple bacteria, does not evolve oxygen. Additional distinctions include the differing complexes of the ETC, whether the flow of electrons within the ETC is cyclic or not, and differences in feedstock preferences: some organisms more efficiently consume CO2 while others specialize in the uptake of organic carbons in wastewater. However, there is more complexity to it when considering the internal processes and bottlenecks in the ETC.
With much of the energy incident on photosynthetic organisms being dissipated as waste, there is considerable opportunity to increase the flux of electrons through the ETC and toward the production of chemicals. One bottleneck is RuBisCO, which is both slow and lacking in selectivity for the fixation of carbon. Another is the complexes in the ETC itself, where increasing expression of electron carriers can improve electron flux capacity. A further prospect to augment electron flux through the ETC is to modify the antennae of photosynthesis to increase the spectrum of absorbable energy. With more energy and electron flux available from the ETC, there is an enhanced ability to produce chemicals.
The production of chemicals using strategies such as the expression of heterologous genes, the deletion of native genes, and the overexpression of genes has been demonstrated in both oxygenic and anoxygenic photosynthetic organisms, but on significantly lower scales than with model organisms such as E. coli and yeast. Development and improvement of the library of tools available for use in unconventional organisms will be needed to advance this field, as will be the development of photobioreactors practical for this application on a large scale.
Considerations for light availability inside a photobioreactor is a challenge for effective distribution and for setpoint optimization both for wavelength and intensity. These affect the structure and availability of photosynthetic complexes and thus the efficiency of energy harvesting. The development of strategies for effective light distribution is an area requiring advancement. Another technology that requires further development is the coupling of light to solar energy whether through waveguides that guide solar light or through solar-powered lighting systems.
Both oxygenic and anoxygenic photosynthetic organisms have vast potential to change the course of consumerism to one that is environmentally conscious. However, diverting electrons and energy stored from photosynthesis toward chemical production pathways is no small feat. The production of chemicals from photosynthetic organisms has been demonstrated but, for the most part, currently lacks the titers and the equipment necessary for large-scale production. While microbial cell factories have been in development for more than 40 years and some have reached industrial quantities (Yim et al., 2011), the advancement of solar-powered microbial cell factories has been delayed largely by a lack of genetic tools and challenges associated with photobioreactors such as the delivery of light. Considering all these factors in a holistic approach will likely be necessary to reach industrial scales of production. The potential to use solar energy to power the production of chemicals from anthropogenic waste will be critical to address net zero emissions in most advanced economies.
Statements
Author contributions
SS compiled the literature and drafted the manuscript. RM and DGA revised and edited the manuscript. All authors contributed to the article and approved the submitted version.
Funding
Funding has been provided by the Natural Sciences and Engineering Research Council of Canada (NSERC).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
purple bacteria, cyanobacteria, metabolic engineering, biofilm, photosynthesis, bioprocess, waveguide, solar energy
Citation
Stephens S, Mahadevan R and Allen DG (2021) Engineering Photosynthetic Bioprocesses for Sustainable Chemical Production: A Review. Front. Bioeng. Biotechnol. 8:610723. doi: 10.3389/fbioe.2020.610723
Received
27 September 2020
Accepted
01 December 2020
Published
08 January 2021
Volume
8 - 2020
Edited by
Jian-Ming Liu, Technical University of Denmark, Denmark
Reviewed by
Jianping Yu, National Renewable Energy Laboratory (DOE), United States; Namita Khanna, Birla Institute of Technology and Science, India
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© 2021 Stephens, Mahadevan and Allen.
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*Correspondence: Radhakrishnan Mahadevan, krishna.mahadevan@utoronto.caD. Grant Allen, dgrant.allen@utoronto.ca
This article was submitted to Synthetic Biology, a section of the journal Frontiers in Bioengineering and Biotechnology
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