Skip to main content

PERSPECTIVE article

Front. Astron. Space Sci., 19 July 2021
Sec. Astrobiology
This article is part of the Research Topic Bioregenerative Life-Support Systems for Crewed Missions to the Moon and Mars View all 26 articles

Towards a Biomanufactory on Mars

  • 1Center for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, United States
  • 2Department of Bioengineering, University of California Berkeley, Berkeley, CA, United States
  • 3Department of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, CA, United States
  • 4Department of Chemical Engineering, University of California Davis, Davis, CA, United States
  • 5Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States
  • 6Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, United States
  • 7Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, United States
  • 8Department of Materials Science and Engineering, University of California Berkeley, Berkeley, CA, United States
  • 9Department of Chemistry and Biochemistry, Utah State University, Logan, UT, United States
  • 10Department of Plants, Soils, and Climate, Utah State University, Logan, UT, United States
  • 11Department of Chemistry, Stanford University, Stanford, CA, United States
  • 12Department of Horticultural Sciences, Texas A&M University, College Station, TX, United States
  • 13Lawrence Berkeley National Laboratory, Berkeley, CA, United States
  • 14Global HealthShare Initiative, Davis, CA, United States
  • 15Kavli Energy Nanosciences Institute, Berkeley, CA, United States

A crewed mission to and from Mars may include an exciting array of enabling biotechnologies that leverage inherent mass, power, and volume advantages over traditional abiotic approaches. In this perspective, we articulate the scientific and engineering goals and constraints, along with example systems, that guide the design of a surface biomanufactory. Extending past arguments for exploiting stand-alone elements of biology, we argue for an integrated biomanufacturing plant replete with modules for microbial in situ resource utilization, production, and recycling of food, pharmaceuticals, and biomaterials required for sustaining future intrepid astronauts. We also discuss aspirational technology trends in each of these target areas in the context of human and robotic exploration missions.

1 Introduction

Extended human stay in space or upon the surface of alien worlds like Mars introduces new mission elements that require innovation (Musk, 2017); among these are the biotechnological elements (Menezes et al., 2015a; Menezes et al., 2015b; Nangle et al., 2020a) that support human health, reduce costs, and increase operational resilience. The potential for a Mars mission in the early 2030s (Drake et al., 2010) underscores the urgency of developing a roadmap for advantageous space biotechnologies.

A major limiting factor of space exploration is the cost of launching goods into space (Wertz and Larson, 1996). The replicative capacity of biology reduces mission launch cost by producing goods on-demand using in situ resources (Rapp, 2013), recycling waste products (Hendrickx et al., 2006), and interacting with other biological processes for stable ecosystem function (Gòdia et al., 2002). This trait not only lowers initial launch costs, but also minimizes the quantity and frequency of resupply missions that would otherwise be required due to limited food and pharmaceutical shelf-life (Du et al., 2011) on deep space missions. Biological systems also provide robust utility via genetic engineering, which can provide solutions to unforeseen problems and lower inherent risk (Menezes et al., 2015a; Berliner et al., 2019). For example, organisms can be engineered on-site to produce a pharmaceutical to treat an unexpected medical condition when rapid supply from Earth would be infeasible (McNulty et al., 2021). A so-called “biomanufactory” for deep space missions (Menezes, 2018) based on in situ resource utilization and composed of integrated biologically-driven subunits capable of producing food, pharmaceuticals, and biomaterials (Figure 1) will greatly reduce launch and resupply cost, and is therefore critical to the future of human-based space exploration (Menezes et al., 2015a; Nangle et al., 2020a).

FIGURE 1
www.frontiersin.org

FIGURE 1. Artist’s rendering of a crewed Martian biomanufactory powered by photovoltaics, fed via atmospheric ISRU, and capable of food and pharmaceutical synthesis (FPS), in situ manufacturing (ISM), and biological loop closure (LC). Artwork by Davian Ho.

2 Feasibility, Needs, and Mission Architecture

The standard specifications for Mars exploration from 2009 (Drake et al., 2010) to 2019 (Linck et al., 2019) are not biomanufacturing-driven (Berliner et al., 2019) due to the novelty of space bioengineering. Here, we outline biotechnological support to produce food, medicine, and specialized construction materials on a long-term mission with six crew-members and surface operations for 500 sols (a Martian sol is 40 min longer than an Earth day) flanked by two interplanetary transits of 210 days (Miele and Wang, 1999). We further assume predeployment cargo that includes in situ resource utilization (ISRU) hardware for Mars-ascent propellant production (Sanders, 2018), which is to be launched from Earth to a mission site. Additional supplies such as habitat assemblies (Hoffman and Kaplan, 1997; Cohen, 2015), photovoltaics (Landis, 2000; Landis et al., 2004), experimental equipment, and other non-living consumables (Benton, 2008) will be included.

The proposed biomanufactory would augment processes for air generation and water and waste recycling and purification—typically associated with Environmental Control and Life Support Systems (ECLSS) (Gòdia et al., 2002; Hendrickx et al., 2006)—since its needs overlap but are broader, and drive a wider development of an array of ISRU, in situ manufacturing (ISM), food and pharmaceutical synthesis (FPS), and loop closure (LC) technologies (Figure 2).

FIGURE 2
www.frontiersin.org

FIGURE 2. Proposed surface operations are drawn from inventories of in situ resources (red) such as ice, atmosphere, regolith, and sunlight. Atmospheric feedstocks of carbon and nitrogen are biologically fixed via the ISRU (in situ resource utilization) biomanufactory components (including abiotic processes, purple), providing the source of biopolymer manufacturing via the ISM (in situ manufacturing) component (grey) and food via the FPS (food and pharmaceutical synthesis) component (green), which are used for astronaut consumption and utilization during mission operations. Waste from each of these elements is collected and fed into the LC (loop closure) element (pink) to maximize efficiency and reduce the cost of supply logistics from Earth.

Food, medicine, and gas exchange to sustain humans imposes important ECLSS feasibility constraints (Yeh et al., 2005; Yeh et al., 2009; Weber and Schnaitmann, 2016). These arise from a crewmember (CM) physiological profile, with an upper-bound metabolic rate of 11–13 MJ/CM-sol that can be satisfied through prepackaged meals and potable water intake of 2.5 kg/CM-sol (Liskowsky and Seitz, 2010; Anderson et al., 2018). Sustaining a CM also entails providing oxygen at 0.8 kg/CM-sol and recycling the 1.04 kg/CM-sol of CO2, 0.11 kg of fecal and urine solid, and 3.6 kg of water waste within a habitat kept at 294 K and 70 kPa. Proposed short duration missions lean heavily on chemical processes for life support with consumables sent from Earth (Drake et al., 2010). As the length of a mission increases, demands on the quantity and quality of consumables increase dramatically. As missions become more complex with longer surface operations, biotechnology offers methods for consumable production in the form of edible crops and waste recycling through microbial digestion (Hendrickx et al., 2006). Advancements in biomanufacturing for deep space exploration will ensure a transition from short-term missions such as those on the ISS that are reliant on single-use-single-supply resources to long-term missions that are sustainable.

2.1 Biomanufactory Systems Engineering

Efficiency gains in a biomanufactory come in part from the interconnection (Figure 2) and modularity of various unit operations (Figures 36) (Crowell et al., 2018). However, different mission stage requirements for assembly, operation, timing, and productivity can lead to different optimal biomanufactory system configurations. A challenge therefore exists for technology choice and process optimization to address the high flexibility, scalability, and infrastructure minimization needs of an integrated biomanufactory. Current frameworks for biomanufacturing optimization do not dwell on these aspects. A series of new innovations in modeling processes and developing performance metrics specific to ECLSS biotechnology is called for, innovations that can suitably capture risk, modularity, autonomy, and recyclability. Concomitant invention in engineering infrastructure will also be required.

FIGURE 3
www.frontiersin.org

FIGURE 3. FPS (green in Figure 2) system breakdown for biomanufactory elements of (A) crops, (B) a biopharmaceutical, and (C) functional food production. In all cases, growth reactors require power (electrical current symbol www.frontiersin.org) and light (γ). (A) Crop biomass and oxygen gas (O2) are produced from hydroponically grown plants using seeds and the set of media elements ({M}) derived from supply cargo. The reactor is also supplied with an ammonium (NH4+) nitrogen source and CO2 carbon source from ISRU processes. (B) In a similar fashion, medicine can be produced from genetically modified crops such as lettuce (C) Functional foods such as nutritional supplements are produced via autotrophic growth of Arthrospira platensis. In all cases, biomass is produced, collected, and inedible biomass is distributed to the LC module for recycling. Orange lines indicate additional power supply to the system.

3 Food and Pharmaceutical Synthesis

An estimated 10,000 kg of food mass is required for a crew of six on a 900 days mission to Mars (Menezes et al., 2015a). Food production for longer missions reduces this mission overhead and increases food store flexibility, bolsters astronaut mental health, revitalizes air, and recycles wastewater through transpiration and condensation capture (Vergari et al., 2010; Kyriacou et al., 2017). Pharmaceutical life support must address challenges of accelerated instability [75% of solid formulation pharmaceuticals are projected to expire mid-mission at 880 days (Menezes et al., 2015a)], the need for a wide range of pharmaceuticals to mitigate a myriad of low probability medical risks, and the mismatch between the long re-supply times to Mars and often short therapeutic time windows for pharmaceutical treatment. Pharmaceutical production for longer missions can mitigate the impact of this anticipated instability and accelerate response time to unanticipated medical threats. In early missions, FPS may boost crew morale and supplement labile nutrients (Khodadad et al., 2020). As mission scale increases, FPS may meet important food and pharmaceutical needs (Cannon and Britt, 2019). A biomanufactory that focuses on oxygenic photoautotrophs, namely plants, algae and cyanobacteria, enhances simplicity, versatility, and synergy with intersecting life support systems (Gòdia et al., 2002; Wheeler, 2017) and a Martian atmosphere has been shown to support such biological systems (Verseux et al., 2021). While plant-based food has been the main staple considered for extended missions (Drake et al., 2010; Anderson et al., 2018; Cannon and Britt, 2019), the advent of cultured and 3D printed meat-like products from animal, plant and fungal cells may ultimately provide a scalable and efficient alternative to cropping systems (Cain, 2005; Pandurangan and Kim, 2015; Hindupur et al., 2019).

FPS organisms for Mars use must be optimized for growth and yields of biomass, nutrient, and pharmaceutical accumulation. Providing adequate and appropriate lighting will be a challenge of photoautotrophic-centric FPS on Mars (Massa et al., 2007; Kusuma et al., 2020). Developing plants and algae with reduced chloroplast light-harvesting antenna size has the potential to improve whole-organism quantum yield by increasing light penetration deeper into the canopy, which will reduce the fraction of light that is wastefully dissipated as heat and allow higher planting density (Friedland et al., 2019). Developing FPS organisms for pharmaceutical production is especially complicated, given the breadth of production modalities and pharmaceutical need (e.g., the time window of intervention response, and molecule class) (McNulty et al., 2021). Limited-resource pharmaceutical purification is also a critically important consideration that has not been rigorously addressed. Promising biologically-derived purification technologies (Werner et al., 2006; Mahmoodi et al., 2019) should be considered for processing drugs that require very high purity (e.g., injectables).

Developing FPS growth systems for Mars requires synergistic biotic and abiotic optimization, as indicated by lighting systems and plant microbiomes. For lighting, consider that recent advancements in LED efficiency now make LEDs optimal for crop growth in extraterrestrial systems (Hardy et al., 2020). The ideal spectra from tunable LEDs will likely be one with a high fraction of red photons for maximum production efficiency, but increasing the fraction of shorter wavelength blue photons could increase crop quality (Johkan et al., 2010; Kusuma et al., 2021). Similarly, higher photon intensities increase production rates but decrease production efficiency. Understanding the associated volume and power/cooling requirement tradeoffs will be paramount to increasing overall system efficiency.

For microbiomes, consider that ISS open-air plant cultivation results in rapid and widespread colonization by atypicaly low-diversity bacterial and fungal microbiomes that often lead to plant disease and decreased plant productivity (Khodadad et al., 2020). Synthetic microbial communities (SynComs, Figure 3A) may provide stability and resilience to the plant microbiome and simultaneously improve the phenotype of host plants via the genes carried by community members. A subset of naturally occurring microbes are well known to promote growth of their plant hosts (Hassani et al., 2018), accelerate wastewater remediation and nutrient recycling (Nielsen, 2017), and shield plant hosts from both abiotic and biotic stresses (Caddell et al., 2019), including opportunistic pathogens (Bishop et al., 1997; Ryba-White et al., 2001; Leach et al., 2007). While SynCom design is challenging, the inclusion of SynComs in life support systems represents a critical risk-mitigation strategy to protect vital food and pharma resources. The application of SynComs to Mars-based agriculture motivates additional discussions in tradeoffs between customized hydroponics versus regolith-based farming, both of which will require distinct technology platforms and applied SynComs.

3.1 FPS Integration Into the Biomanufactory

Our biomanufactory FPS module has three submodules: crops, pharmaceuticals, and functional foods (Figure 3). The inputs to all three submodules (Figure 3) are nearly identical in needing H2O as an electron donor, CO2 as a carbon source, and light as an energy source, with the required nitrogen source being organism-dependent (e.g., Arthrospira platensis requires nitrate). H2O, CO2, and light are directly available from the Martian environment. Fixed nitrogen comes from the biomanufactory ISRU module. The submodules output O2, biomass, and waste products. However, the crop submodule (Figure 3A) chiefly outputs edible biomass for bulk food consumption, the pharmaceutical submodule (Figure 3B) synthesizes medicines, and the functional foods submodule (Figure 3C) augments the nutritional requirements of the crop submodule with microbially-produced vitamins (e.g., vitamin B12). These outputs will be consumed directly by crew-members, with waste products entering the LC module for recycling.

All submodules will have increased risk, modularity, and recyclability relative to traditional technological approaches. Increased risk is associated with biomass loss due to lower-than-expected yields, contamination, and possible growth system failure. Increased modularity over shipping known pharmaceuticals to Mars derives from the programmability of biology, and the rapid response time of molecular pharming in crops for as-needed production of biologics. Increased recyclability stems from the lack of packaging required for shipping food and pharmaceuticals from Earth, as well as the ability to recycle plant waste using anaerobic digestion.

At a systems integration level, FPS organism care will increase the crew time requirements for setup, maintenance, and harvesting compared to advance food and pharmaceutical shipments. However, overall cost impacts require careful scrutiny: crop growth likely saves on shipping costs, whereas pharmaceutical or functional food production on Mars may increase costs relative to shipping drugs and vitamins from Earth.

4 In Situ Materials Manufacturing

Maintaining FPS systems requires cultivation vessels/chambers, support structures, plumbing, and tools. Such physical objects represent elements of an inventory that, for short missions, will likely be a combination of predeployment cargo and supplies from the crewed transit vehicle (Drake et al., 2010). As mission duration increases, so does the quantity, composition diversity, and construction complexity of these objects. The extent of ISM for initial exploration missions is not currently specified (Drake et al., 2010). Nevertheless, recent developments (Owens et al., 2015; Moses and Bushnell, 2016; Owens and De Weck, 2016) imply that ISM will be critical for the generation of commodities and consumables made of plastics (Carranza et al., 2006), metals (Everton et al., 2016), composite-ceramics (Karl et al., 2020), and electronics (Werkheiser, 2015) as mission objects, with uses ranging from functional tools (Grenouilleau et al., 2000) to physical components of the life-supporting habitat (Owens et al., 2015).

Plastics will make up the majority of high-turnover items with sizes on the order of small parts to bench-top equipment, and will also account for contingencies (Prater et al., 2016). Biotechnology—specifically synthetic biology—in combination with additive manufacturing (Rothschild, 2016) has been proposed an a critical element towards the establishment of offworld manufacturing (Snyder et al., 2019) and can produce such polymeric constructs from basic feedstocks in a more compact and integrated way than chemical synthesis, because microbial bioreactors operate much closer to ambient conditions than chemical processes (Malik et al., 2015). The versatility of microbial metabolisms allows direct use of CO2 from Mars’ atmosphere, methane (CH4) from abiotic Sabatier processes (Hintze et al., 2018), and/or biologically synthesized C2 compounds such as acetate, as well as waste biomass.

A class of bioplastics that can be directly obtained from microorganisms (Naik et al., 2008) are polyhydroxyalkanoates (PHAs). While the dominant natural PHA is poly (3-hydroxybutyrate) (PHB), microbes can produce various co-polymers with an expansive range of physical properties (Myung et al., 2017). This is commonly accomplished through co-feeding with fatty acids or hydroxyalkanoates, which get incorporated in the polyester. These co-substrates can be sourced from additional process inputs or generated in situ. For example the PHA poly-lactic acid (PLA) can be produced by engineered Escherichia coli (Jung et al., 2010), albeit to much lower weight percent than is observed in organisms producing PHAs naturally. PHA composition can be modulated in other organisms (Rehm, 2010). The rapid development of synthetic biology tools for non-model organisms opens an opportunity to tune PHA production in high PHB producers and derive a range of high-performance materials.

Before downstream processing (melting, extrusion/molding), the intracellularly accumulating bioplastics need to be purified. The required degree of purity determines the approach and required secondary resources. Fused filament fabrication 3D-printing, which works well in microgravity (Prater et al., 2016; Prater et al., 2018), has been applied for PLA processing and may be extendable to other bio-polyesters. Ideally, additive manufacturing will be integrated in-line with bioplastics production and filament extrusion.

4.1 ISM Integration Into the Biomanufactory

Figure 4 depicts the use of three organism candidates from genera Cupriavidus, Methylocystis, and Halomonas that can meet bioplastic production. This requires a different set of parameters to optimize their deployment, which strongly affects reactor design and operation. These microbes are capable of using a variety of carbon sources for bioplastic production, each with a trade-off. For example, leveraging C2 feedstocks as the primary source will allow versatility in the microbe selection, but may be less efficient and autonomous than engineering a single organism like Cupriavidus necator to use CO2 directly from the atmosphere. Alternatively, in the event that CH4 is produced abiotically for ascent propellant (Musk, 2017), a marginal fraction of total CH4 will be sufficient for producing enough plastic without additional hardware costs associated with ISRU C2 production. Relying on Halomonas spp. in combination with acetate as substrate may allow very rapid production of the required bioplastic, but substrate availability constraints are higher than for CH4 or CO2/H2. A terminal electron acceptor is required in all cases, which will almost certainly be O2. Supplying O2 safely without risking explosive gas mixtures, or wasting the precious resource, is again a question of reactor design and operation. Certain purple non-sulfur alphaproteobacteria (e.g., Rhodospirillum rubrum (Brandl et al., 1989; Heinrich et al., 2016) and Rhodopseudomonas palustris (Doud et al., 2017; Touloupakis et al., 2021)) also feature remarkable substrate flexibility and can produce PHAs (Averesch, 2021).

FIGURE 4
www.frontiersin.org

FIGURE 4. ISM (grey in Figure 2) systems breakdown for biomanufactory elements of biopolymer production and 3D-printing. 3D printed parts are fabricated from bioproduced plastics. Biopolyesters such as PHB, along with corresponding waste products, are formed in cargo-supplied reactors with the aid of microorganisms. A variety of available carbon feedstocks can serve as substrates for aerobic auto-, hetero-, or mixotrophic microorganisms such as Cupriavidus necator, Methylocystis parvus and Halomonas spp. All three microbes are capable of using C2 feedstocks (like acetate, indicated by solid line), while C. necator and Methylocystis can also use C1 feedstocks. The former utilizes a combination of CO2 and H2 (large dotted line), while only M. parvus can leverage CH4 (small dotted line).

Bioplastic recovery and purification is a major challenge. To release the intracellular compound, an osmolysis process (Rathi et al., 2013) may be employed with the halophile (Tan et al., 2011; Chen et al., 2017). However, the transfer of cells into purified water and separation of the polyesters from the cell debris, potentially through several washing steps, may require substantial amounts of water. An alternative and/or complement to the common process for extraction of PHAs with halogenated organic solvents, is to use acetate or methanol as solvents (Anbukarasu et al., 2015; Aramvash et al., 2018). This is applicable independent of the organism and the inputs can be provided from other biomanufactory modules.

The high crystallinity of pure PHB makes it brittle and causes it to have a narrow melting range, resulting in warp during extrusion and 3D-printing. Such behavior places operational constraints on processing and hampers applications to precision manufacturing (Marchessault and Yu, 2005). Workarounds may be through additives, biocomposite synthesis, and copolymerization. However, this ultimately depends on what biology can provide (Müller and Seebach, 1993). There is a need to advance space bio-platforms to produce more diverse PHAs through synthetic biology.

ISM of biomaterials can reduce the mission cost, increase modularity, and improve system recyclability compared to abiotic approaches. In an abiotic approach, plastics will be included in the payload, thereby penalizing up-mass at launch. As with elements of FPS and ISRU, ISM increases flexibility and can create contingencies during surface operations, therefore reducing mission risk. The high modularity of independent plastic production, filament formation, and 3D-printing allows for a versatile process, at the cost of greater resources required for systems operations. Overall, this maximizes resource use and recyclability, by utilizing mission waste streams and byproducts for circular resource management.

5 In Situ Resource Utilization

Biomanufacturing on Mars can be supported by flexible biocatalysts that extract resources from the environment and transform them into the complex products needed to sustain human life. The Martian atmosphere contains CO2 and N2 (Menezes et al., 2015a). Water and electrolytically produced O2 and H2 are critical to mission elements for any Mars mission. It is very likely that the expensive and energy-intensive Sabatier plants (Clark and Clark, 1997; Meier et al., 2017; Hintze et al., 2018) for CH4 production will be available per Design Reference Architecture (DRA 5.0) (Drake et al., 2010). While a Haber-Bosch plant could be set up for ammonia production, this is neither part of the current DRA (Drake et al., 2010) nor exceptionally efficient. Thus, for a biomanufactory, we must have carbon fixation reactors to fix CO2 into feedstocks for non-methanotrophs, and have nitrogen fixation reactors to fix N2 to fulfill nitrogen requirements for non-diazotrophs. Trace elements and small-usage compounds can be transported from Earth, or in some cases extracted from the Martian regolith. In the case where power is provided from photocollection or photovoltaics, light energy will vary with location and season, and may be critical to power our bioreactors.

Although photosynthetic organisms are attractive for FPS, a higher demand for carbon-rich feedstocks and other chemicals necessitates a more rapid and efficient CO2 fixation strategy. Physicochemical conversion is inefficient due to high temperature and pressure requirements. Microbial electrosynthesis (MES), whereby reducing power is passed from abiotic electrodes to microbes to power CO2 reduction, can offer rapid and efficient CO2 fixation at ambient temperature and pressure (Abel and Clark, 2020). MES can produce a variety of chemicals including acetate (Liu et al., 2015), isobutanol (Li et al., 2012), PHB (Liu et al., 2016), and sucrose (Nangle et al., 2020b), and therefore represents a flexible and highly promising ISRU platform technology (Abel et al., 2020).

Biological N2-fixation offers power- and resource-efficient ammonium production. Although photoautotrophic N2 fixation with, for example, purple non-sulfur bacteria, is possible, slow growth rates due to the high energetic demand of nitrogenase limit throughput (Doloman and Seefeldt, 2020). Therefore, heterotrophic production with similar bacteria using acetate or sucrose as a feedstock sourced from electromicrobial CO2-fixation represents the most promising production scheme, and additionally benefits from a high degree of process redundancy with heterotrophic bioplastic production.

Regolith provides a significant inventory for trace elements (Fe, K, P, S, etc.) and, when mixed with the substantial cellulosic biomass waste from FPS processes, can facilitate recycling organic matter into fertilizer to support crop growth. However, regolith use is hampered by widespread perchlorate (Catling et al., 2010; Cull et al., 2010; Navarro-González et al., 2010), indicating that decontamination is necessary prior to enrichment or use. Dechlorination can be achieved via biological perchlorate reduction using one of many dissimilatory perchlorate reducing organisms (Byrne-Bailey and Coates, 2012; Davila et al., 2013; Wetmore et al., 2015; Bywaters and Quinn, 2016). Efforts to reduce perchlorate biologically have been explored independently and in combination with a more wholistic biological platform (Llorente et al., 2018). Such efforts to integrate synthetic biology into human exploration missions suggest that a number of approaches should be considered within a surface biomanufactory.

5.1 ISRU Integration Into the Biomanufactory

A biomanufactory must be able to produce and utilize feedstocks along three axes as depicted in Figure 5: CO2-fixation to supply a carbon and energy source for downstream heterotrophic organisms or to generate commodity chemicals directly, N2-fixation to provide ammonium and nitrate for plants and non-diazotrophic microbes, and regolith decontamination and enrichment for soil-based agriculture and trace nutrient provision. ISRU inputs are submodule and organism dependent, with all submodules requiring water and power. For the carbon fixation submodule (Figure 5A), CO2 is supplied as the carbon source, and electrons are supplied as H2 or directly via a cathode. Our proposed biocatalysts are the lithoautotrophic Cupriavidus necator for longer-chain carbon production [e.g., sucrose (Nangle et al., 2020b)] and the acetogen Sporomusa ovata for acetate production. C. necator is a promising chassis for metabolic engineering and scale-up (Nangle et al., 2020b), with S. ovata having one of the highest current consumptions for acetogens characterized to date (Logan et al., 2019). The fixed-carbon outputs of this submodule are then used as inputs for the other ISRU submodules (Figures 5B,C) in addition to the ISM module (Figure 2). The inputs to the nitrogen fixation submodule (Figure 5B) include fixed carbon feedstocks, N2, and light. The diazotrophic purple-non sulfur bacterium Rhodopseudomonas palustris is the proposed biocatalyst, as this bacterium is capable of anaerobic, light-driven N2 fixation utilizing acetate as the carbon source, and has a robust genetic system allowing for rapid manipulation (Doloman and Seefeldt, 2020; Abel et al., 2020). The output product is fixed nitrogen in the form of ammonium, which is used as a feedstock for the carbon-fixation submodule of ISRU along with the FPS and ISM modules. The inputs for the regolith enrichment submodule (Figure 5C) include regolith, fixed carbon feedstocks, and N2. Azospira suillum is a possible biocatalyst of choice due to its dual use in perchlorate reduction and nitrogen fixation (Bywaters and Quinn, 2016). Regolith enrichment outputs include soil for the FPS module (in the event that solid support-based agriculture is selected instead of hydroponics), H2 that can be fed back into the carbon fixation submodule and the ISM module, chlorine gas from perchlorate reduction, and waste products.

FIGURE 5
www.frontiersin.org

FIGURE 5. ISRU (purple in Figure 2) system breakdown of biomanufactory elements. (A) Carbon fixation with the autotrophic bacteria Sporomusa ovata or Cupriavidus necator through electrosynthesis or lithoautotrophic fixation of C1-carbon (cathodes or H2 as the electron donor). (B) Microbial nitrogen fixation with diazotrophic bacteria like Rhodopseudomonas palustris growing photoheterotrophically (C) Regolith (Reg) enrichment using the perchlorate-reducing microbe Azospira suillum. Black lines represent material and energy flows related to biological consumption and production. Orange lines indicate additional power supply to the system.

Replicate ISRU bioreactors operating continuously in parallel with back-up operations lines can ensure a constant supply of the chemical feedstocks, commodity chemicals, and biomass for downstream processing in ISM and FPS operations. Integration of ISRU technologies with other biomanufactory elements, especially anaerobic digestion reactors, may enable (near-)complete recyclability of raw materials, minimizing resource consumption and impact on the Martian environment (MacElroy and Wang, 1989; Pogue et al., 2002).

6 Loop Closure and Recycling

Waste stream processing to recycle essential elements will reduce material requirements in the biomanufactory. Typical feedstocks include inedible crop mass, human excreta, and other mission wastes. Space mission waste management traditionally focuses on water recovery and efficient waste storage through warm air drying and lyophilization (Yeh et al., 2005; Anderson et al., 2018). Mission trash can be incinerated to produce CO2, CO, and H2O (Hintze et al., 2013). Pyrolysis, another abiotic technique, yields CO and H2 alongside CH4 (Serio et al., 2008). The Sabatier process converts CO2 and CO to CH4 by reacting with H2. An alternate thermal degradation reactor (Caraccio et al., 2013), operating under varying conditions that promote pyrolysis, gasification, or incineration, yields various liquid and gaseous products. The fact remains however, that abiotic carbon recycling is inefficient with respect to desired product CH4, and is highly energy-intensive.

Microbes that recover resources from mission wastes are a viable option to facilitate loop closure. Aerobic composting produces CO2 and a nutrient-rich extract for plant and microbial growth (Ramirez-Perez et al., 2007; Ramirez-Perez et al., 2008). However, this process requires O2, which will likely be a limited resource. Hence, anaerobic digestion, a multi-step microbial process that can produce a suite of end-products at lower temperature than abiotic techniques (35–55°C compared to 500–600°C, an order of magnitude difference), is the most promising approach for a Mars biomanufactory (Meegoda et al., 2018; Strazzera et al., 2018) to recycle streams for the ISM and FPS processes. Digestion products CH4 and volatile fatty acids (VFA, such as acetic acid) can be substrates for polymer-producing microbes (Myung et al., 2015; Chen et al., 2018). Digestate, with nutrients of N, P, and K, can be ideal for plant and microbial growth (Möller and Müller, 2012), as shown in Figure 6. Additionally, a CH4 and CO2 mixture serves as a biogas energy source, and byproduct H2 is also an energy source (Schievano et al., 2012; Khan et al., 2018).

FIGURE 6
www.frontiersin.org

FIGURE 6. LC-based (pink in Figure 2) anaerobic digestion of mission waste such as inedible plant matter, microbial biomass, human, and other wastes produce methane, volatile fatty acids (VFAs), and digestate rich with key elemental nutrients (N, P, K), thereby supplementing ISRU operation.

Because additional infrastructure and utilities are necessary for waste processing, the extent of loop closure that is obtainable from a treatment route must be analyzed to balance yield with its infrastructure and logistic costs. Anaerobic digestion performance is a function of the composition and pretreatment of input waste streams (crop residuals, feces, urine, end-of-life bioproducts), as well as reaction strategies like batch or continuous, number of stages, and operation conditions such as organic loading rate, solids retention time, operating temperature, pH, toxic levels of inhibitors (H2S, NH3, salt) and trace metal requirements (Rittmann and McCarty, 2001; Schievano et al., 2012; Aramrueang et al., 2016; Liu et al., 2018; Meegoda et al., 2018; Strazzera et al., 2018). Many of these process parameters exhibit trade-offs between product yield and necessary resources. For example, a higher waste loading reduces water demand, albeit at the cost of process efficiency. There is also a potential for multiple co-benefits of anaerobic digestion within the biomanufactory. Anaerobic biodegradation of nitrogen-rich protein feedstocks, for example, releases free NH3 by ammonification. While NH3 is toxic to anaerobic digestion and must thus be managed (Rittmann and McCarty, 2001), it reacts with carbonic acid to produce bicarbonate buffer and ammonium, decreasing CO2 levels in the biogas and buffering against low pH. The resulting digestate ammonium can serve as a fertilizer for crops and nutrient for microbial cultures.

6.1 LC Integration Into the Biomanufactory

FPS and ISM waste as well as human waste are inputs for an anaerobic digester, with output recycled products supplementing the ISRU unit. Depending on the configuration of the waste streams from the biomanufactory and other mission elements, the operating conditions of the process can be varied to alter the efficiency and output profile. Open problems include the design and optimization of waste processing configurations and operations, and the identification of optimal end-product distributions based on a loop closure metric (Benvenuti et al., 2020) against mission production profiles, mission horizon, biomanufacturing feedstock needs, and the possible use of leftover products by other mission elements beyond the biomanufactory. A comparison with abiotic waste treatment strategies (incineration and pyrolysis) is also needed, checking power demand, risk, autonomy, and modularity benefits.

7 Discussion and Roadmap

Biomanufactory development must be done in concert with planned NASA missions that can provide critical opportunities to test subsystems and models necessary to evaluate efficacy and technology readiness levels (TRLs) (Mankins, 1995). Figure 7 is our attempt to place critical elements of a biomanufactory roadmap into this context. We label critical mission stages using Reference Mission Architecture (RMA)-S and RMA-L, which refer to Mars surface missions with short (30 sols) and long (>500 sols) durations, respectively.

FIGURE 7
www.frontiersin.org

FIGURE 7. Proposed roadmap from 2021 to 2052 in log2-scale time of Earth-based developments (black) and their relationships to ISS (gold), lunar (blue), and Martian (red) missions. Missions range in status from currently operational, to enroute, planned, and proposed. Reference Mission Architecture (RMA)-S is a 30-sol mission, and RMA-L are missions with more than 500 sols of surface operations. RMA-L1 is the mission target for deployment of a biomanufactory. An arrival at target location is denoted with a symbol to indicate its type as orbiter, rover, lander, helicopter, support, or crewed operations. Circled letters are colored by location and correspond to specific milestones or opportunities for biomanufactory development.

Reliance on biotechnology can increase the risk of forward biological contamination (Piaseczny et al., 2019). Beyond contamination, there are ethical issues that concern both the act of colonizing a new land and justifying the cost and benefits of a mission given needs of the many here on earth. Our roadmap begins with the call for an extensive and ongoing discussion of ethics (Figure 7 Ⓐ). Planetary protection policies can provide answers or frameworks to address extant ethical questions surrounding deep-space exploration, especially on Mars (Rivkin et al., 2020; Tavares et al., 2020). Critically, scientists and engineers developing these technologies cannot be separate or immune to such policy development.

7.1 Autonomous Martian Surface Missions

Figure 7 Ⓑ denotes the interconnection between current Martian mission objects (Mars InSight Landing Pres, 2018; Mars Science Laboratory L, 2012; Baldwin et al., 2016; MAVEN Press Kit, 2013; Mars Reconnaissance Orbit, 2006; Mars Express: A Decade of Observing the Red Planet, 2013; Mars Odyssey Arrival Pres, 2001) and Earth-based process development elements for a biomanufactory (Figures 36). Together with en route autonomous surface missions (Mars Helicopter/Ingenuity, 2020; Mars 2020 Perseverance La, 2020) (Figure 7 Ⓒ), these missions provide a roadmap for continued mission development based on landing location biosignatures (Bussey and Hoffman, 20162016; Vago et al., 2017). The biomanufactory (Figures 36) will require ample water in media, atmospheric gas feedstocks, and power that can be bounded by measurements from autonomous missions. Upcoming sample return missions offer an opportunity to shape the design of ISRU processes such as regolith decontamination from perchlorate and nitrogen enrichment for crop growth. Additional orbiters (Jedrey et al., 2016) and lander/rover pairs (Figure 7 Ⓗ) have been planned and will aid in the selection of a landing site for short term Martian exploration missions (Figure 7 Ⓙ, Ⓚ). Such locations will be determined based on water/ice mining/availability (McKay et al., 2013) as depicted in Figure 7 Ⓘ. These missions can be deployed with specific payloads to experimentally validate biomanufactory elements. Low TRL biotechnologies can be flown as experimental packages on upcoming rovers and landers, offering the possibility for TRL advancement of biology-driven subsystems. Planning for such testing will require coordination with, and validation on, ISS and satellite payloads (Figure 7 Ⓔ), for instance, to understand the impact of Martian gravity, to contrast levels of radiation exposure, and so on.

7.2 Artemis Operations

The upcoming lunar exploration missions, Artemis (Smith et al., 2020) and Gateway (Crusan et al., 2019), provide additional opportunities for integration with Earth-based biomanufactory development. Early support missions (Figure 7 Ⓓ, Ⓕ) will provide valuable experience in cargo predeployment for crewed operations, and is likely to help shape logistics development for short-term (Figure 7 Ⓙ, Ⓚ) as well as long-term Mars exploration missions (Figure 7 Ⓜ) when a biomanufactory can be deployed. Here we present a subset of Artemis efforts as they relate to mission elements with opportunities for testing and maturing biomanufacturing technology. Although ISRU technologies for the Moon and Mars will be sufficiently distinct due to different resource availabilities, crewed Artemis missions (Figure 7 Ⓕ, Ⓖ) provide a testing ground for crewed Mars bioprocess infrastructure. Later Artemis missions (Figure 7 Ⓛ) also provide a suitable environment to test modular, interlocked, scalable reactor design, as well as the design of compact molecular biology labs for DNA synthesis and transformation. Since these technologies are unlikely to be mission critical during Artemis, their TRL can be increased and their risk factors studied through in-space evaluation.

The Artemis missions also provide a testbed to evaluate the space-based evolution of microbes and alterations of seedstocks as a risk inherent to the biological component of the biomanufactory. This risk can be mitigated by incorporating backup seed and microbial freezer stocks to reset the system. However, ensuring that native and/or engineered traits remain robust over time is critical to avoid the resource penalties that are inherent to such a reset. Consequently, while optimal organisms and traits can be identified and engineered prior to a mission, testing their long-term performance on future NASA missions prior to inclusion in life support systems will help to assess whether engineered traits are robust to off-planet growth, whether microbial communities are stable across crop generations, and whether the in situ challenges that astronauts will face when attempting to reset the biomanufacturing system are surmountable. Quantifying these uncertainties during autonomous and crewed Artemis missions will inform tradeoff and optimization studies during the design of an enhanced life support system for Martian surface bio-operations.

7.3 Human Exploration of Mars

Crewed surface operations of 30 sols by four to six astronauts are projected (Drake et al., 2010) to begin in 2031 (Figure 7 Ⓙ), with an additional mission similar in profile in 2033 (Figure 7 Ⓚ). Given the short duration, a mission-critical biomanufactory as described herein is unlikely to be deployed. However, these short-term, crewed missions RMA-S1, S2 provide opportunities to increase the TRL of biomanufactory elements for 500 sol surface missions RMA-L1 (Figure 7 Ⓜ) in 2040 and RMA-L2 (Figure 7 Ⓝ) in 2044. Building on the abiotic ISRU from early Artemis missions, we propose that RMA-S1 carry experimental systems for C-and-N-fixation processes such that a realized biomanufactory element can be properly scaled (Figure 5). Since RMA-S1, S2 will be crewed, regolith process testing becomes more feasible to be tested onsite on the surface of Mars, than during a complex sample return mission. Additionally, while relying on prepacked food for consumption, astronauts in RMA-S1 will be able to advance the TRL of platform combinations of agriculture hardware, crop cultivars, and operational procedures. An example is growing crops under various conditions (Figure 3A) to validate that a plant microbiome can provide a prolonged benefit in enclosed systems, and to determine resiliency in the event of pathogen invasion or a loss of microbiome function due to evolution. Additionally, the TRL for crop systems can be re-evaluated on account of partial gravity and/or microgravity.

The RMA-S1 and RMA-S2 crews will be exposed for the first time to surface conditions after interplanetary travel, allowing for an initial assessment of health effects that can be contrasted to operations on the lunar surface (Figure 7 Ⓕ), and that may be alleviated by potential biomanufactory pharmaceutical and functional food outputs (Figures 3B,C). The RMA-S1 and RMA-S2 mission ISRU and FPS experiments will also provide insight into the input requirements for downstream biomanufactory processes. ISM technologies such as bioplastic synthesis and additive manufacture (Figure 4) can be evaluated for sufficient TRL. Further, loop closure performance for several desired products can also be tested. This will help estimate the impact of waste stream characteristics changes on recycling (Brémond et al., 2018).

7.4 Moving Forward

We have outlined the design and future deployment of a biomanufactory to support human surface operations during a 500 days manned Mars mission. We extended previous stand-alone biological elements with space use potential into an integrated biomanufacturing system by bringing together the important systems of ISRU, synthesis, and recycling, to yield food, pharmaceuticals, and biomaterials. We also provided an envelope of future design, testing, and biomanufactory element deployment in a roadmap that spans Earth-based system development, testing on the ISS, integration with lunar missions, and initial construction during shorter-term initial human forays on Mars. The innovations necessary to meet the challenges of low-cost, energy and mass efficient, closed-loop, and regenerable biomanufacturing for space will undoubtedly yield important contributions to forwarding sustainable biomanufacturing on Earth. We anticipate that the path towards instantiating a biomanufactory will be replete with science, engineering, and ethical challenges. But that is the excitement—part-and-parcel—of the journey to Mars.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding authors.

Author Contributions

AJB, JMH, AJA, and APA conceived the concept based on the Center for the Utilization of Biological Engineering in Space (CUBES) that was established by AJB, BB, DSC, DCD, AM, SN, RMW, PY, CSC, KAM, LCS, AAM, and APA. All authors wrote and edited the manuscript with grouped efforts led by JMH, AJA, AJB, MJM, NJHA, SSG, and GM.

Funding

This material is based upon work supported by NASA under grant or cooperative agreement award number NNX17AJ31G.

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.

References

Abel, A. J., and Clark, D. S. (2020). A Comprehensive Modeling Analysis of Formate-Mediated Microbial Electrosynthesis, ChemSusChem.14, 344–355. doi:10.1002/cssc.202002079

PubMed Abstract | CrossRef Full Text | Google Scholar

Abel, A. J., Hilzinger, J. M., Arkin, A. P., and Clark, D. S. (2020). Systems-informed Genome Mining for Electroautotrophic Microbial Production. bioRxiv. doi:10.1101/2020.12.07.414987

CrossRef Full Text | Google Scholar

Anbukarasu, P., Sauvageau, D., and Elias, A. (2015). Tuning the Properties of Polyhydroxybutyrate Films Using Acetic Acid via Solvent Casting. Sci. Rep. 5, 17884. doi:10.1038/srep17884

PubMed Abstract | CrossRef Full Text | Google Scholar

Anderson, M. S., Ewert, M. K., and Keener, J. F.. Life Support Baseline Values and Assumptions Document (2018).

Google Scholar

Aramrueang, N., Rapport, J., and Zhang, R. (2016). Effects of Hydraulic Retention Time and Organic Loading Rate on Performance and Stability of Anaerobic Digestion of Spirulina Platensis. Biosyst. Eng. 147, 174–182. doi:10.1016/j.biosystemseng.2016.04.006

CrossRef Full Text | Google Scholar

Aramvash, A., Moazzeni Zavareh, F., and Gholami Banadkuki, N. (2018). Comparison of Different Solvents for Extraction of Polyhydroxybutyrate fromCupriavidus Necator. Eng. Life Sci. 18, 20–28. doi:10.1002/elsc.201700102

PubMed Abstract | CrossRef Full Text | Google Scholar

Averesch, N. J. H. (2021). Choice of Microbial System for In-Situ Resource Utilization on Mars. Front. Astron. Space Sci. 8. doi:10.3389/fspas.2021.700370

CrossRef Full Text | Google Scholar

[Dataset] Baldwin, E., Clark, S., Scuka, D., and O’Flaherty, K.. ExoMars 2016: Analysing Atmospheric Gases for Signs of Active Biological or Geological Processes on Mars, and Testing Key landing Technologies (2016).

Google Scholar

Benton, M. (2008). “Crew and Cargo Landers for Human Exploration of Mars-Vehicle System Design,” in 44th AIAA/ASME/SAE/ASEE Joint Propulsion Conference {\&} Exhibit, 5156. doi:10.2514/6.2008-5156

CrossRef Full Text | Google Scholar

Benvenuti, A. J., Drecksler, S. R., Sen Gupta, S., Menezes, A. A., J\∼Benvenuti, A., R\∼Drecksler, S., et al. (2020). “Design of Anaerobic Digestion Systems for Closed Loop Space Biomanufacturing,” in 50th International Conference on Environmental Systems (ICES).

Google Scholar

Berliner, A. J., Makrygiorgos, G., Mirkovic, M., Menezes, A. A., Mesbah, A., and Arkin, A. P. (2019). Towards a Biomanufacturing-Driven Reference Mission Architecture for Long-Term Human Mars Exploration. LPICo 2089, 6261.

Google Scholar

Bishop, D. L., Levine, H. G., Kropp, B. R., and Anderson, A. J. (1997). Seedborne Fungal Contamination: Consequences in Space-Grown Wheat. Phytopathology 87, 1125–1133. doi:10.1094/phyto.1997.87.11.1125

PubMed Abstract | CrossRef Full Text | Google Scholar

Brandl, H., Knee, E. J., Fuller, R. C., Gross, R. A., and Lenz, R. W. (1989). Ability of the Phototrophic Bacterium Rhodospirillum Rubrum to Produce Various Poly (β-Hydroxyalkanoates): Potential Sources for Biodegradable Polyesters. Int. J. Biol. Macromolecules 11, 49–55. doi:10.1016/0141-8130(89)90040-8

CrossRef Full Text | Google Scholar

Brémond, U., de Buyer, R., Steyer, J.-P., Bernet, N., and Carrere, H. (2018). Biological Pretreatments of Biomass for Improving Biogas Production: an Overview from Lab Scale to Full-Scale. Renew. Sustain. Energ. Rev. 90, 583–604. doi:10.1016/j.rser.2018.03.103

CrossRef Full Text | Google Scholar

Bussey, B., and Hoffman, S. J. (2016). “Human Mars landing Site and Impacts on Mars Surface Operations,” in IEEE Aerospace Conference (IEEE), 1–21. doi:10.1109/aero.2016.7500775

CrossRef Full Text | Google Scholar

Byrne-Bailey, K. G., and Coates, J. D. (2012). Complete Genome Sequence of the Anaerobic Perchlorate-Reducing Bacterium Azospira Suillum Strain PS. J. Bacteriol. 194, 2767–2768. doi:10.1128/jb.00124-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Bywaters, K. F., and Quinn, R. C. (2016). Perchlorate-Reducing Bacteria: Evaluating the Potential for Growth Utilizing Nutrient Sources Identified on Mars. Lunar Planet. Sci. Conf. 47, 2946.

Google Scholar

Caddell, D. F., Deng, S., and Coleman-Derr, D. (2019). Role of the Plant Root Microbiome in Abiotic Stress Tolerance. Seed Endophytes. Springer Nature Switzerland AG, 273–311. doi:10.1007/978-3-030-10504-4_14

CrossRef Full Text | Google Scholar

Cain, F. (2005). Artificial Meat Could Be Grown on a Large Scale. Universe Today.

Google Scholar

Cannon, K. M., and Britt, D. T. (2019). Feeding One Million People on Mars. New Space 7, 245–254. doi:10.1089/space.2019.0018

CrossRef Full Text | Google Scholar

Caraccio, A. J., Hintze, P., Anthony, S. M., Devor, R. W., Captain, J. G., and Muscatello, A. C. (2013). “Trash-to-gas: Converting Space Trash into Useful Products,” in 43rd International Conference on Environmental Systems (ICES). doi:10.2514/6.2013-3440AIAA 2013-3440

CrossRef Full Text | Google Scholar

Carranza, S., Makel, D. B., and Blizman, B. (2006). “In Situ manufacturing of Plastics and Composites to Support H{\&}R Exploration,” in AIP Conference Proceedings (American Institute of Physics), 813, 1122–1129.

Google Scholar

Catling, D. C., Claire, M. W., Zahnle, K. J., Quinn, R. C., Clark, B. C., Hecht, M. H., et al. (2010). Atmospheric Origins of Perchlorate on Mars and in the Atacama. J. Geophys. Res. Planets 115. doi:10.1029/2009je003425

CrossRef Full Text | Google Scholar

Chen, J., Li, W., Zhang, Z.-Z., Tan, T.-W., and Li, Z.-J. (2018). Metabolic Engineering of Escherichia coli for the Synthesis of Polyhydroxyalkanoates Using Acetate as a Main Carbon Source. Microb. Cel Fact 17, 102. doi:10.1186/s12934-018-0949-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Yin, J., Ye, J., Zhang, H., Che, X., Ma, Y., et al. (2017). Engineering Halomonas Bluephagenesis TD01 for Non-sterile Production of Poly(3-Hydroxybutyrate-Co-4-Hydroxybutyrate). Bioresour. Technol. 244, 534–541. doi:10.1016/j.biortech.2017.07.149

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, D., and Clark, D. (1997). “In-situ Propellant Production on Mars-A Sabatier/electrolysis Demonstration Plant,” in 33rd Joint Propulsion Conference and Exhibit, 2764.

CrossRef Full Text | Google Scholar

Cohen, M. M. (2015). “First Mars Habitat Architecture,” in AIAA SPACE 2015 Conference and Exposition, 4517. doi:10.2514/6.2015-4517

CrossRef Full Text | Google Scholar

Crowell, L. E., Lu, A. E., Love, K. R., Stockdale, A., Timmick, S. M., Wu, D., et al. (2018). On-demand Manufacturing of Clinical-Quality Biopharmaceuticals. Nat. Biotechnol. 36, 988–995. doi:10.1038/nbt.4262

PubMed Abstract | CrossRef Full Text | Google Scholar

Crusan, J., Bleacher, J., Caram, J., Craig, D., Goodliff, K., Herrmann, N., et al. (2019). “NASA’s Gateway: An Update on Progress and Plans for Extending Human Presence to Cislunar Space,” in 2019 IEEE Aerospace Conference (IEEE), 1–19. doi:10.1109/aero.2019.8741561

CrossRef Full Text | Google Scholar

Cull, S. C., Arvidson, R. E., Catalano, J. G., Ming, D. W., Morris, R. V., Mellon, M. T., et al. (2010). Concentrated Perchlorate at the Mars Phoenix landing Site: Evidence for Thin Film Liquid Water on Mars. Geophys. Res. Lett. 37. doi:10.1029/2010gl045269

CrossRef Full Text | Google Scholar

[Dataset] 2001 Mars Odyssey Arrival Press Kit (2001).

Davila, A. F., Willson, D., Coates, J. D., and McKay, C. P. (2013). Perchlorate on Mars: a Chemical hazard and a Resource for Humans. Int. J. Astrobiology 12, 321–325. doi:10.1017/s1473550413000189

CrossRef Full Text | Google Scholar

Doloman, A., and Seefeldt, L. C. (2020). An Experimentally Evaluated Thermodynamic Approach to Estimate Growth of Photoheterotrophic Purple Non-sulfur Bacteria. Front. Microbiol. 11, 540378. doi:10.3389/fmicb.2020.540378

PubMed Abstract | CrossRef Full Text | Google Scholar

Doud, D. F. R., Holmes, E. C., Richter, H., Molitor, B., Jander, G., and Angenent, L. T. (2017). Metabolic Engineering of Rhodopseudomonas Palustris for the Obligate Reduction of N-Butyrate to N-Butanol. Biotechnol. Biofuels 10, 1–11. doi:10.1186/s13068-017-0864-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Drake, B. G., Hoffman, S. J., and Beaty, D. W. (2010). “Human Exploration of Mars, Design Reference Architecture 5.0,” in Aerospace Conference, 2010 IEEE (IEEE), 1–24. doi:10.1109/aero.2010.5446736

CrossRef Full Text | Google Scholar

Du, B., Daniels, V. R., Vaksman, Z., Boyd, J. L., Crady, C., and Putcha, L. (2011). Evaluation of Physical and Chemical Changes in Pharmaceuticals Flown on Space Missions. Aaps J. 13, 299–308. doi:10.1208/s12248-011-9270-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Everton, S. K., Hirsch, M., Stravroulakis, P., Leach, R. K., and Clare, A. T. (2016). Review of Iin-Ssitu Process Monitoring and Iin-Ssitu Metrology for Metal Additive Manufacturing. Mater. Des. 95, 431–445. doi:10.1016/j.matdes.2016.01.099

CrossRef Full Text | Google Scholar

Friedland, N., Negi, S., Vinogradova-Shah, T., Wu, G., Ma, L., Flynn, S., et al. (2019). Fine-tuning the Photosynthetic Light Harvesting Apparatus for Improved Photosynthetic Efficiency and Biomass Yield. Sci. Rep. 9, 1–12. doi:10.1038/s41598-019-49545-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Gòdia, F., Albiol, J., Montesinos, J. L., Pérez, J., Creus, N., Cabello, F., et al. (2002). MELISSA: a Loop of Interconnected Bioreactors to Develop Life Support in Space. J. Biotechnol. 99, 319–330. doi:10.1016/s0168-1656(02)00222-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Grenouilleau, J. C., Housseini, O., and Pérès, F. (2000). In-Situ Rapid Spares Manufacturing and its Application to Human Space Missions. Space 2000, 42–48. doi:10.1061/40479(204)5

CrossRef Full Text | Google Scholar

Hardy, M., Wheeler, R., Ewert, M., Kusuma, P., and Bugbee, B. (2020). “Providing Photons for Food in Regenerative Life Support: A Comparative Analysis of Solar Fiber Optic and Electric Light Systems,” in 50th International Conference on Environmental Systems (ICES).

Google Scholar

Hassani, M. A., Durán, P., and Hacquard, S. (2018). Microbial Interactions within the Plant Holobiont. Microbiome 6, 58. doi:10.1186/s40168-018-0445-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Heinrich, D., Raberg, M., Fricke, P., Kenny, S. T., Morales-Gamez, L., Babu, R. P., et al. (2016). Synthesis Gas (Syngas)-Derived Medium-Chain-Length Polyhydroxyalkanoate Synthesis in Engineered Rhodospirillum Rubrum. Appl. Environ. Microbiol. 82, 6132–6140. doi:10.1128/aem.01744-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Hendrickx, L., De Wever, H., Hermans, V., Mastroleo, F., Morin, N., Wilmotte, A., et al. (2006). Microbial Ecology of the Closed Artificial Ecosystem MELiSSA (Micro-ecological Life Support System Alternative): Reinventing and Compartmentalizing the Earth's Food and Oxygen Regeneration System for Long-Haul Space Exploration Missions. Res. Microbiol. 157, 77–86. doi:10.1016/j.resmic.2005.06.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Hindupur, A., Ball, N., Kagawa, H., Kostakis, A., Levri, J., Sims, K., et al. BioNutrients-1: On-Demand Production of Nutrients in Space (2019).

Google Scholar

Hintze, P., Meier, A., and Shah, M. (2018). “Sabatier System Design Study for a Mars ISRU Propellant Production Plant,” in 48th International Conference on Environmental Systems.

Google Scholar

Hintze, P. E., Caraccio, A., Anthony, S. M., DeVor, R., Captain, J. G., Tsoras, A., et al. (2013). “Trash-to-gas: Using Waste Products to Minimize Logistical Mass during Long Duration Space Missions,” in AIAA SPACE 2013 Conference and Exposition, 5326. doi:10.2514/6.2013-5326

CrossRef Full Text | Google Scholar

Hoffman, S. J., and Kaplan, D. I. (1997). Human Exploration of Mars: The Reference mission of the NASA Mars Exploration Study Team, Vol. 6107. National Aeronautics and Space Administration, Lyndon B. Johnson Space Center.

[Dataset] Jedrey, T., Lock, R., and Matsumoto, M. Conceptual Studies for the Next Mars Orbiter (NeMO) (2016).

Google Scholar

Johkan, M., Shoji, K., Goto, F., Hashida, S.-n., and Yoshihara, T. (2010). Blue Light-Emitting Diode Light Irradiation of Seedlings Improves Seedling Quality and Growth after Transplanting in Red Leaf Lettuce. horts 45, 1809–1814. doi:10.21273/HORTSCI.45.12.1809

CrossRef Full Text | Google Scholar

Jung, Y. K., Kim, T. Y., Park, S. J., and Lee, S. Y. (2010). Metabolic Engineering ofEscherichia Colifor the Production of Polylactic Acid and its Copolymers. Biotechnol. Bioeng. 105, 161–171. doi:10.1002/bit.22548

PubMed Abstract | CrossRef Full Text | Google Scholar

Karl, D., Kamutzki, F., Lima, P., Gili, A., Duminy, T., Zocca, A., et al. (2020). Sintering of Ceramics for clay In Situ Resource Utilization on Mars. Open Ceramics 3. doi:10.1016/j.oceram.2020.100008

CrossRef Full Text | Google Scholar

Khan, M. A., Ngo, H. H., Guo, W., Liu, Y., Zhang, X., Guo, J., et al. (2018). Biohydrogen Production from Anaerobic Digestion and its Potential as Renewable Energy. Renew. Energ. 129, 754–768. doi:10.1016/j.renene.2017.04.029

CrossRef Full Text | Google Scholar

Khodadad, C. L. M., Hummerick, M. E., Spencer, L. E., Dixit, A. R., Richards, J. T., Romeyn, M. W., et al. (2020). Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station. Front. Plant Sci. 11, 199. doi:10.3389/fpls.2020.00199

PubMed Abstract | CrossRef Full Text | Google Scholar

Kusuma, P., Pattison, P. M., and Bugbee, B. (2020). From Physics to Fixtures to Food: Current and Potential LED Efficacy. Hortic. Res. 7, 1–9. doi:10.1038/s41438-020-0283-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kusuma, P., Swan, B., and Bugbee, B. (2021). Does Green Really Mean Go? Increasing the Fraction of Green Photons Promotes Growth of Tomato but Not Lettuce or Cucumber. Plants. 10 (4). doi:10.3390/plants10040637

Kyriacou, M. C., De Pascale, S., Kyratzis, A., and Rouphael, Y. (2017). Microgreens as a Component of Space Life Support Systems: A Cornucopia of Functional Food. Front. Plant Sci. 8, 1587. doi:10.3389/fpls.2017.01587

PubMed Abstract | CrossRef Full Text | Google Scholar

Landis, G., Kerslake, T., Scheiman, D., and Jenkins, P. (2004). “Mars Solar Power,” in 2nd International Energy Conversion Engineering Conference, 5555. doi:10.2514/6.2004-5555

CrossRef Full Text | Google Scholar

Landis, G. A. (2000). Solar Cell Selection for Mars. IEEE Aerosp. Electron. Syst. Mag. 15, 17–21. doi:10.1109/62.821659

CrossRef Full Text | Google Scholar

Leach, J. E., Ryba-White, M., Sun, Q., Wu, C. J., Hilaire, E., Gartner, C., et al. (2007). Plants, Plant Pathogens, and Microgravity-Aa Deadly Trio. Gravit. Space Biol. Bull. 14, 15–23.

Google Scholar

Li, H., Opgenorth, P. H., Wernick, D. G., Rogers, S., Wu, T.-Y., Higashide, W., et al. (2012). Integrated Electromicrobial Conversion of CO2 to Higher Alcohols. Science 335, 1596. doi:10.1126/science.1217643

PubMed Abstract | CrossRef Full Text | Google Scholar

Linck, E., Crane, K. W., Zuckerman, B. L., Corbin, B. A., Myers, R. M., Williams, S. R., et al. (2019). Evaluation of a Human Mission to Mars by 2033. Washington, DC: IDA Science and Technology Policy Institute.

Liskowsky, D. R., and Seitz, W. W. (2010). Human Integration Design Handbook. Washington, DC, Rep. NASA/SP-2010-3407. NASA.

Google Scholar

Liu, C., Wang, W., Anwar, N., Ma, Z., Liu, G., and Zhang, R. (2018). Effect of Organic Loading Rate on Anaerobic Digestion of Food Waste under Mesophilic and Thermophilic Conditions. Energy Fuels 31, 2976–2984.

Google Scholar

Liu, C., Colón, B. C., Ziesack, M., Silver, P. A., and Nocera, D. G. (2016). Water Splitting-Biosynthetic System with CO2reduction Efficiencies Exceeding Photosynthesis. Science 352, 1210–1213. doi:10.1126/science.aaf5039

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Gallagher, J. J., Sakimoto, K. K., Nichols, E. M., Chang, C. J., Chang, M. C. Y., et al. (2015). Nanowire-Bacteria Hybrids for Unassisted Solar Carbon Dioxide Fixation to Value-Added Chemicals. Nano Lett. 15, 3634–3639. doi:10.1021/acs.nanolett.5b01254

PubMed Abstract | CrossRef Full Text | Google Scholar

Llorente, B., Williams, T., and Goold, H. (2018). The Multiplanetary Future of Plant Synthetic Biology. Genes 9, 348. doi:10.3390/genes9070348

PubMed Abstract | CrossRef Full Text | Google Scholar

Logan, B. E., Rossi, R., Ragab, A. a., and Saikaly, P. E. (2019). Electroactive Microorganisms in Bioelectrochemical Systems. Nat. Rev. Microbiol. 17, 307–319. doi:10.1038/s41579-019-0173-x

PubMed Abstract | CrossRef Full Text | Google Scholar

MacElroy, R. D., and Wang, D. (1989). Waste Recycling Issues in Bioregenerative Life Support. Adv. Space Res. 9, 75–84. doi:10.1016/0273-1177(89)90031-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahmoodi, S., Pourhassan-Moghaddam, M., Wood, D. W., Majdi, H., and Zarghami, N. (2019). Current Affinity Approaches for Purification of Recombinant Proteins. Cogent Biol. 5, 1665406. doi:10.1080/23312025.2019.1665406

CrossRef Full Text | Google Scholar

Malik, M. R., Yang, W., Patterson, N., Tang, J., Wellinghoff, R. L., Preuss, M. L., et al. (2015). Production of High Levels of Poly-3-Hydroxybutyrate in Plastids of Camelina Sativaseeds. Plant Biotechnol. J. 13, 675–688. doi:10.1111/pbi.12290

PubMed Abstract | CrossRef Full Text | Google Scholar

Mankins, J. C. (1995). Technology Readiness Levels. White Paper, April 6, 1995.

Google Scholar

Marchessault, R. H., and Yu, G. (2005). Crystallization and Material Properties of Polyhydroxyalkanoates PHAs. Biopolymers Online Biol. Chem. Biotechnol. Appl. 3. doi:10.1002/3527600035.bpol3b07

CrossRef Full Text | Google Scholar

[Dataset] Mars 2020 Perseverance Launch Press Kit (2020).

[Dataset] Mars Express: A Decade of Observing the Red Planet (2013).

[Dataset] Mars Helicopter/Ingenuity (2020).

[Dataset] Mars InSight Landing Press Kit (2018).

[Dataset] Mars Reconnaissance Orbiter Arrival Press Kit (2006).

[Dataset] Mars Science Laboratory Landing Press Kit (2012).

Massa, G. D., Emmerich, J. C., Morrow, R. C., Bourget, C. M., and Mitchell, C. A. (2007). Plant-growth Lighting for Space Life Support: a Review. Gravit. Space Res. 19.

Google Scholar

[Dataset] MAVEN Press Kit (2013).

McKay, C. P., Stoker, C. R., Glass, B. J., Davé, A. I., Davila, A. F., Heldmann, J. L., et al. (2013). The Icebreaker Life Mission to Mars: a Search for Biomolecular Evidence for Life. Astrobiology 13, 334–353. doi:10.1089/ast.2012.0878

PubMed Abstract | CrossRef Full Text | Google Scholar

McNulty, M. J., Xiong, Y., Yates, K., Karuppanan, K., Hilzinger, J. M., Berliner, A. J., et al. (2021). Molecular Pharming to Support Human Life on the Moon, mars, and beyond. Crit. Rev. Biotechnol. 0, 1–16. doi:10.1080/07388551.2021.1888070

CrossRef Full Text | Google Scholar

Meegoda, J., Li, B., Patel, K., and Wang, L. (2018). A Review of the Processes, Parameters, and Optimization of Anaerobic Digestion. Ijerph 15, 2224. doi:10.3390/ijerph15102224

PubMed Abstract | CrossRef Full Text | Google Scholar

Meier, A., Shah, M., Hintze, P., Petersen, E., and Muscatello, A. (2017). “Mars Atmospheric Conversion to Methane and Water: An Engineering Model of the Sabatier Reactor with Characterization of Ru/al2o3 for Long Duration Use on mars,” in 47th International Conference on Environmental Systems.

Google Scholar

Menezes, A. A. (2018). Realizing a Self-Reproducing Space Factory with Engineered and Programmed Biology. LPICo 2063, 3145.

Google Scholar

Menezes, A. A., Cumbers, J., Hogan, J. A., and Arkin, A. P. (2015). Towards Synthetic Biological Approaches to Resource Utilization on Space Missions. J. R. Soc. Interf. 12, 20140715. doi:10.1098/rsif.2014.0715 (The Royal Society)

PubMed Abstract | CrossRef Full Text | Google Scholar

Menezes, A. A., Montague, M. G., Cumbers, J., Hogan, J. A., and Arkin, A. P. (2015). Grand Challenges in Space Synthetic Biology. J. R. Soc. Interf. 12, 20150803. doi:10.1098/rsif.2015.0803

PubMed Abstract | CrossRef Full Text | Google Scholar

Miele, A., and Wang, T. (1999). Optimal Transfers from an Earth Orbit to a Mars Orbit. Acta Astronautica 45, 119–133. doi:10.1016/s0094-5765(99)00109-5

CrossRef Full Text | Google Scholar

Möller, K., and Müller, T. (2012). Effects of Anaerobic Digestion on Digestate Nutrient Availability and Crop Growth: a Review. Eng. Life Sci. 12, 242–257. doi:10.1002/elsc.201100085

CrossRef Full Text | Google Scholar

Moses, R. W., and Bushnell, D. M.. Frontier Iin-Ssitu Resource Utilization for Enabling Sustained Human Presence on mars (2016).

Google Scholar

Müller, H.-M., and Seebach, D. (1993). Poly(hydroxyalkanoates): A Fifth Class of Physiologically Important Organic Biopolymers?. Angew. Chem. Int. Ed. Engl. 32, 477–502. doi:10.1002/anie.199304771

CrossRef Full Text | Google Scholar

Musk, E. (2017). Making Humans a Multi-Planetary Species. New Space 5, 46–61. doi:10.1089/space.2017.29009.emu

CrossRef Full Text | Google Scholar

Myung, J., Flanagan, J. C. A., Waymouth, R. M., and Criddle, C. S. (2017). Expanding the Range of Polyhydroxyalkanoates Synthesized by Methanotrophic Bacteria through the Utilization of omega-hydroxyalkanoate Co-substrates. AMB Expr. 7, 118. doi:10.1186/s13568-017-0417-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Myung, J., Wang, Z., Yuan, T., Zhang, P., Van Nostrand, J. D., Zhou, J., et al. (2015). Production of Nitrous Oxide from Nitrite in Stable Type II Methanotrophic Enrichments. Environ. Sci. Technol. 49, 10969–10975. doi:10.1021/acs.est.5b03385

PubMed Abstract | CrossRef Full Text | Google Scholar

Naik, S., Venu Gopal, S. K., and Somal, P. (2008). Bioproduction of Polyhydroxyalkanoates from Bacteria: a Metabolic Approach. World J. Microbiol. Biotechnol. 24, 2307–2314. doi:10.1007/s11274-008-9745-z

CrossRef Full Text | Google Scholar

Nangle, S. N., Wolfson, M. Y., Hartsough, L., Ma, N. J., Mason, C. E., Merighi, M., et al. (2020). The Case for Biotech on Mars. Nat. Biotechnol. 38, 401–407. doi:10.1038/s41587-020-0485-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Nangle, S. N., Ziesack, M., Buckley, S., Trivedi, D., Loh, D. M., Nocera, D. G., et al. (2020). Valorization of CO2 through Lithoautotrophic Production of Sustainable Chemicals in Cupriavidus Necator. Metab. Eng. 62, 207–220. doi:10.1016/j.ymben.2020.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Navarro-González, R., Vargas, E., de La Rosa, J., Raga, A. C., and McKay, C. P. (2010). Reanalysis of the Viking Results Suggests Perchlorate and Organics at Midlatitudes on Mars. J. Geophys. Res. Planets 115. doi:10.1029/2010je003599

CrossRef Full Text | Google Scholar

Nielsen, P. H. (2017). Microbial Biotechnology and Circular Economy in Wastewater Treatment. Microb. Biotechnol. 10, 1102–1105. doi:10.1111/1751-7915.12821

PubMed Abstract | CrossRef Full Text | Google Scholar

Owens, A., and De Weck, O. (2016). Systems Analysis of In-Space Manufacturing Applications for the International Space Station and the Evolvable Mars Campaign. AIAA SPACE 2016, 5394. doi:10.2514/6.2016-5394

CrossRef Full Text | Google Scholar

Owens, A., Do, S., Kurtz, A., and Weck, Od. (2015). “Benefits of Additive Manufacturing for Human Exploration of mars,” in 45th International Conference on Environmental Systems.

Google Scholar

Pandurangan, M., and Kim, D. H. (2015). A Novel Approach for In Vitro Meat Production. Appl. Microbiol. Biotechnol. 99, 5391–5395. doi:10.1007/s00253-015-6671-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Piaseczny, J., Brecht, A. S., Som, S. M., Tavares, F., and Wilhelm, M. B. (2019). Atmospheric Dispersal of Contamination Sourced from a Putative Human Habitat on Mars. AGUFM 2019, P51C–P08.

Google Scholar

Pogue, G. P., Lindbo, J. A., Garger, S. J., and Fitzmaurice, W. P. (2002). MAKING ANALLY FROM ANENEMY: Plant Virology and the New Agriculture. Annu. Rev. Phytopathol. 40, 45–74. doi:10.1146/annurev.phyto.40.021102.150133

PubMed Abstract | CrossRef Full Text | Google Scholar

Prater, T. J., Bean, Q. A., Beshears, R. D., Rolin, T. D., Werkheiser, N. J., Ordonez, E. A., et al. (2016). Summary Report on Phase I Results from the 3D Printing in Zero G Technology Demonstration mission, Volume I. Tech. Rep..

Google Scholar

Prater, T. J., Werkheiser, N. J., and Ledbetter, F. E. (2018). Summary Report on Phase I and Phase II Results from the 3D Printing in Zero-G Technology Demonstration Mission. Tech. Rep. Vol. II.

Google Scholar

Ramirez-Perez, J. C., Hogan, J. A., and Strom, P. F. (2007). Inedible Biomass Biodegradation for Advanced Life Support Systems: I. Composting Reactor and Kinetics. habitation (elmsford) 11, 105–122. doi:10.3727/154296607783948713

CrossRef Full Text | Google Scholar

Ramirez-Perez, J. C., Hogan, J. A., and Strom, P. F. (2008). Inedible Biomass Biodegradation for Advanced Life Support Systems: II. Compost Quality and Resource Recovery. habitation (elmsford) 11, 163–172. doi:10.3727/154296608785908615

CrossRef Full Text | Google Scholar

Rapp, D. (2013). Mars ISRU Technology. Use of Extraterrestrial Resources for Human Space Missions to Moon or Mars. Springer Nature Switzerland AG, 31–90. doi:10.1007/978-3-642-32762-9_2

CrossRef Full Text | Google Scholar

Rathi, D.-N., Amir, H. G., Abed, R. M. M., Kosugi, A., Arai, T., Sulaiman, O., et al. (2013). Polyhydroxyalkanoate Biosynthesis and Simplified Polymer Recovery by a Novel Moderately Halophilic Bacterium Isolated from Hypersaline Microbial Mats. J. Appl. Microbiol. 114, 384–395. doi:10.1111/jam.12083

PubMed Abstract | CrossRef Full Text | Google Scholar

Rehm, B. H. A. (2010). Bacterial Polymers: Biosynthesis, Modifications and Applications. Nat. Rev. Microbiol. 8, 578–592. doi:10.1038/nrmicro2354

PubMed Abstract | CrossRef Full Text | Google Scholar

Rittmann, B. E., and McCarty, P. L. (2001). Environmental Biotechnology: Principles and Applications. New York, NY: McGraw-Hill Education.

Rivkin, A. S., Milazzo, M., Venkatesan, A., Frank, E., Vidaurri, M. R., Metzger, P., et al. (2020). Asteroid Resource Utilization: Ethical Concerns and Progress. arXiv preprint arXiv:2011.03369.

Google Scholar

Rothschild, L. J. (2016). Synthetic Biology Meets Bioprinting: Enabling Technologies for Humans on Mars (And Earth). Biochem. Soc. Trans. 44, 1158–1164. doi:10.1042/BST20160067

PubMed Abstract | CrossRef Full Text | Google Scholar

Ryba-White, M., Nedukha, O., Hilaire, E., Guikema, J. A., Kordyum, E., and Leach, J. E. (2001). Growth in Microgravity Increases Susceptibility of Soybean to a Fungal Pathogen. Plant Cel Physiol. 42, 657–664. doi:10.1093/pcp/pce082

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanders, G. Current NASA Plans for Mars In Situ Resource Utilization (2018).

Google Scholar

Schievano, A., Tenca, A., Scaglia, B., Merlino, G., Rizzi, A., Daffonchio, D., et al. (2012). Two-Stage vs Single-Stage Thermophilic Anaerobic Digestion: Comparison of Energy Production and Biodegradation Efficiencies. Environ. Sci. Technol. 46, 8502–8510. doi:10.1021/es301376n

PubMed Abstract | CrossRef Full Text | Google Scholar

Serio, M., Kroo, E., Florczak, E., Wójtowicz, M., Wignarajah, K., Hogan, J., et al. (2008). Pyrolysis of Mixed Solid Food, Paper, and Packaging Wastes. Tech. Rep.. doi:10.4271/2008-01-2050

CrossRef Full Text | Google Scholar

Smith, M., Craig, D., Herrmann, N., Mahoney, E., Krezel, J., McIntyre, N., et al. (2020). “The Artemis Program: An Overview of NASA’s Activities to Return Humans to the Moon,” in 2020 IEEE Aerospace Conference (IEEE), 1–10. doi:10.1109/aero47225.2020.9172323

CrossRef Full Text | Google Scholar

Snyder, J. E., Walsh, D., Carr, P. A., and Rothschild, L. J. (2019). A Makerspace for Life Support Systems in Space. Trends Biotechnology 37, 1164–1174. doi:10.1016/j.tibtech.2019.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Strazzera, G., Battista, F., Garcia, N. H., Frison, N., and Bolzonella, D. (2018). Volatile Fatty Acids Production from Food Wastes for Biorefinery Platforms: A Review. J. Environ. Manag. 226, 278–288. doi:10.1016/j.jenvman.2018.08.039

CrossRef Full Text | Google Scholar

Tan, D., Xue, Y.-S., Aibaidula, G., and Chen, G.-Q. (2011). Unsterile and Continuous Production of Polyhydroxybutyrate by Halomonas TD01. Bioresour. Technol. 102, 8130–8136. doi:10.1016/j.biortech.2011.05.068

PubMed Abstract | CrossRef Full Text | Google Scholar

Tavares, F., Buckner, D., Burton, D., McKaig, J., Prem, P., Ravanis, E., et al. (2020). Ethical Exploration and the Role of Planetary Protection in Disrupting Colonial Practices. arXiv preprint arXiv:2010.08344.

Google Scholar

Touloupakis, E., Poloniataki, E. G., Ghanotakis, D. F., and Carlozzi, P. (2021). Production of Biohydrogen And/or Poly-β-Hydroxybutyrate by Rhodopseudomonas Sp. Using Various Carbon Sources as Substrate. Appl. Biochem. Biotechnol. 193, 307–318. doi:10.1007/s12010-020-03428-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Vago, J. L., Westall, F., Coates, A. J., Jaumann, R., Korablev, O., Ciarletti, V., et al. Pasteur Instrument Teams, Landing SPI (2017). Habitability on Early Mars and the Search for Biosignatures with the ExoMars Rover. Astrobiology 17, 471–510. doi:10.1089/ast.2016.1533

PubMed Abstract | CrossRef Full Text | Google Scholar

Vergari, F., Tibuzzi, A., and Basile, G. (2010). An Overview of the Functional Food Market: from Marketing Issues and Commercial Players to Future Demand from Life in Space. Bio-Farms for Nutraceuticals, 308–321. doi:10.1007/978-1-4419-7347-4_23(Springer)

PubMed Abstract | CrossRef Full Text | Google Scholar

Verseux, C., Heinicke, C., Ramalho, T. P., Determann, J., Duckhorn, M., Smagin, M., et al. (2021). A Low-Pressure, N2/CO2 Atmosphere Is Suitable for Cyanobacterium-Based Life-Support Systems on Mars. Front. Microbiol. 12, 67. doi:10.3389/fmicb.2021.611798

CrossRef Full Text | Google Scholar

Weber, J., and Schnaitmann, J. (2016). “A New Human Thermal Model for the Dynamic Life Support System Simulation V-HAB,” in 46th International Conference on Environmental Systems.

Google Scholar

Werkheiser, N. In-space Manufacturing: Pioneering a Sustainable Path to Mars (2015).

Google Scholar

Werner, S., Marillonnet, S., Hause, G., Klimyuk, V., and Gleba, Y. (2006). Immunoabsorbent Nanoparticles Based on a Tobamovirus Displaying Protein A. Proc. Natl. Acad. Sci. 103, 17678–17683. doi:10.1073/pnas.0608869103

PubMed Abstract | CrossRef Full Text | Google Scholar

Wertz, J. R., and Larson, W. J. (1996). Reducing Space mission Cost. Torrance, CA: Microcosm Press Torrance.

Wetmore, K. M., Price, M. N., Waters, R. J., Lamson, J. S., He, J., Hoover, C. A., et al. (2015). Rapid Quantification of Mutant Fitness in Diverse Bacteria by Sequencing Randomly Bar-Coded Transposons. mBio 6, 1–15. doi:10.1128/mBio.00306-15

CrossRef Full Text | Google Scholar

Wheeler, R. M. (2017). Agriculture for Space: People and Places Paving the Way. Open Agric. 2, 14–32. doi:10.1515/opag-2017-0002

CrossRef Full Text | Google Scholar

Yeh, H. H. J., Brown, C. B., and Jeng, F. J.. Tool for Sizing Analysis of the Advanced Life Support System (2005).

Google Scholar

Yeh, H. Y., Brown, C. B., Anderson, M. S., Ewert, M. K., and Jeng, F. F. (2009). ALSSAT Development Status. Tech. Rep. doi:10.4271/2009-01-2533

CrossRef Full Text | Google Scholar

Keywords: space systems bioengineering, human exploration, in situ resource utilization, life support systems, biomanufacturing

Citation: Berliner AJ, Hilzinger JM, Abel AJ, McNulty MJ, Makrygiorgos G, Averesch NJH, Sen Gupta S, Benvenuti A, Caddell DF, Cestellos-Blanco S, Doloman A, Friedline S, Ho D, Gu W, Hill A, Kusuma P, Lipsky I, Mirkovic M, Luis Meraz J, Pane V, Sander KB, Shi F, Skerker JM, Styer A, Valgardson K, Wetmore K, Woo S-G, Xiong Y, Yates K, Zhang C, Zhen S, Bugbee B, Clark DS, Coleman-Derr D, Mesbah A, Nandi S, Waymouth RM, Yang P, Criddle CS, McDonald KA, Seefeldt LC, Menezes AA and Arkin AP (2021) Towards a Biomanufactory on Mars. Front. Astron. Space Sci. 8:711550. doi: 10.3389/fspas.2021.711550

Received: 18 May 2021; Accepted: 01 July 2021;
Published: 19 July 2021.

Edited by:

Cyprien Verseux, University of Bremen, Germany

Reviewed by:

Briardo Llorente, Macquarie University, Australia
Ricardo Amils, Autonomous University of Madrid, Spain
Ivan Glaucio Paulino-Lima, Blue Marble Space Institute of Science (BMSIS), United States

Copyright © 2021 Berliner, Hilzinger, Abel, McNulty, Makrygiorgos, Averesch, Sen Gupta, Benvenuti, Caddell, Cestellos-Blanco, Doloman, Friedline, Ho, Gu, Hill, Kusuma, Lipsky, Mirkovic, Luis Meraz, Pane, Sander, Shi, Skerker, Styer, Valgardson, Wetmore, Woo, Xiong, Yates, Zhang, Zhen, Bugbee, Clark, Coleman-Derr, Mesbah, Nandi, Waymouth, Yang, Criddle, McDonald, Seefeldt, Menezes and Arkin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Adam P. Arkin, YXBhcmtpbkBsYmwuZ292; and Aaron J. Berliner, YWFyb24uYmVybGluZXJAYmVya2VsZXkuZWR1

Present Address: Anna Doloman, Laboratory of Microbiology, Wageningen University, Wageningen, Netherlands

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.