Impact Factor 4.076

The 3rd most cited journal in Microbiology

Opinion ARTICLE

Front. Microbiol., 21 March 2017 | https://doi.org/10.3389/fmicb.2017.00450

Future Microbial Applications for Bioenergy Production: A Perspective

  • 1Department of Biotechnology, ITS Paramedical College, Ghaziabad, India
  • 2Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed University), Nirjuli, India

The fast receding concentration of fossil fuels and the mounting global demand of energy has necessitated the production of alternate fuels to replace the conventional fossil fuels so as to counter the increased deposition of greenhouse gasses in the atmosphere, which has led to considerable climatic changes. These changes could result in catastrophic repercussions in the near future, including rising temperature and sea levels. Evidently, the utilization of fossil fuels for electricity and heat production and for transportation accounts for 25% and 14% of the total greenhouse gas emissions, respectively (IPCC, 2014). Therefore, nowadays, the production of economically feasible and eco-friendly renewable energy fuels is the world's highest demand that indicates the potential to simultaneously replace the conventional fuels and reduce the environmental concern. The use of versatile microorganisms to generate renewable energy fuels from the biomass and biological wastes can diminish this menacing concern to a large extent. The interest in the production of various biofuels using microorganisms has been steadily increasing in the recent years (Table 1) (Liao et al., 2016), particularly because of the metabolic diversity of different microorganisms that enables the production of biofuels from various substrates. For example, most of the bacteria can easily convert sugars into ethanol, and cellulolytic microbes can utilize plant-driven substrates. Cyanobacteria and microalgae possess the potential to photosynthetically reduce the atmospheric CO2 into biofuels, and methanotrophs can use methane to produce methanol (Liao et al., 2016). In addition, some of the bacteria such as Geobacter sulfurreducens and Shewanella oneidensis exhibit specific “molecular machinery” that helps transfer electrons from microbial outer-membrane to conductive surfaces (Kracke et al., 2015), subsequently, this feature can be deployed in bioelectrochemical devices for biohydrogen and bioelectricity generation. The impending need to address the challenges involved in enabling these microorganisms to become a more feasible option for replacing the conventional fossil fuels has been discussed in this paper with possible future directions.

TABLE 1
www.frontiersin.org

Table 1. List of microorganisms producing biofuels or the precursors for biofuel production.

Microbial Factories for Biofuels

The consumption of organic substrates by a microorganism and its further utilization in the metabolic processes generates useful products, which can be used as a fuel to produce energy. An outline of the microbial pathways for the production of different biofuels has been illustrated in Figure 1. The selection of microbes, substrates, and the production processes are pivotal for biofuel synthesis. The microbial biofuel production, e.g., ethanol from corn, also needs more input of fossil fuel energy as compared to the process involving sugarcane as the substrate (Goldemberg et al., 2008). Therefore, a biofuel with more positive net balance energy is considered suitable for commercialization. The other important concern is the selection of an efficient substrate for microbes. The lignocellulose-containing substrates such as agricultural waste and plant biomass are the most desirable alternatives compared to other types of feedstocks. However, some microorganisms such as S. cerevisiae cannot degrade lignocellulose completely into fermentative constituents (Chang et al., 2013).

FIGURE 1
www.frontiersin.org

Figure 1. An overview of microbial metabolic pathways for biofuel production.

Plant biomass of lignocellulose can be converted to biofuel through deconstruction to sugars; this process generally starts with a pre-treatment step, followed by enzymatic hydrolysis or by consolidated bioprocessing (which combines the two processes in one reactor) (Mosier et al., 2005; Kumar et al., 2009). This cellulolytic hyphal penetration process can be physical, chemical, biological, or a combination of all of these. The penetrated biomass is then hydrolysed by either non-complexed cellulose enzyme cocktails or by a cellulolytic microorganism (Lynd et al., 2002).

The greenhouse gas methane is emitted in less quantity but is more potent than CO2 (Yvon-Durocher et al., 2014), and it is produced from landfill or through anaerobic digestion of various organic wastes. Methane is a major component in natural gas, the production of which has undergone a dramatic flow in the past few decades. This highlights an urgent need to search for more efficient carbon source. Low-throughput methane from a landfill or natural gas wells that is otherwise flared can be used directly by methanotrophs to produce fuels, or it can be converted to methanol (CH3OH) and, eventually, utilized by methylotrophs for fuel production (Liao et al., 2016). Methanotrophs oxidize methane by first initiating reduction of oxygen atoms to H2O2 and then transformation of methane to CH3OH using methane monooxygenases (MMOs) (Fuerst, 2013). The MMOs are of two types: soluble MMOs (sMMO) and particulate MMOs (pMMO). The cells containing pMMO have demonstrated higher growth capabilities and higher affinity for methane than sMMO-containing cells.

Metabolic Engineering to Upscale Biofuel Production

The microorganisms exhibit a specific metabolic pathway and different types of catalytic enzymes for biofuel production. For example, in Saccharomyces cerevisiae, direct decarboxylation of pyruvate leads to the production of ethanol, while in Escherichia coli, CoA activates the acyl group during pyruvate decarboxylation and then reduces to ethanol. Metabolic engineering of such pathways could be fruitful in increasing the productivity of biofuels. This approach can be applied in numerous ways for enhancing microbial biofuel production. First, as mentioned earlier, ethanol can be produced by two different pathways in yeast and in E. coli. Ethanol production without using CoA is regarded as an efficient route for ethanol production comparatively (Liao et al., 2016). Therefore, this pathway can be expressed in other microbes through genetic engineering techniques for ethanol production. Similarly, the microorganisms lacking the metabolic pathways for a particular biofuel can be injected with the imperative genes or the enzymes extracted from efficient biofuel producing organism, transforming the non-biofuel producing microorganism to a biofuel-producing microbe. This approach could be beneficial to engineer microbes for exploiting various substrates for biofuel production. Second, the competing pathways that drain the products (biofuels) or the precursors (such as pyruvate, acetyl-CoA) or the enzymes that interfere with the biofuel synthesis pathway can be a knockout with the help of metabolic engineering. For example, in E. coli, acyl-ACP (acyl carrier protein) inhibits fatty acid biosynthesis pathway (Davis and Cronan, 2001). The overexpression of thioesterase can avoid this inhibition, allowing the synthesis of free fatty acids, which subsequently results in the production of a precursor (acyl-CoA, for fatty alcohol synthesis). Moreover, the catalytic activity of the substrate-specific enzymes and the number of turnovers can be enhanced by manipulating the genetic material of the enzyme using advanced design tools and experimental techniques. In addition, computation-based proteins can be adopted to structure unnatural amino acids to create artificial enzymes of desired functions that can be further utilized in biofuel production. However, the synthesis of an artificial metabolic pathway could be challenging, requiring advanced effective tools to control the proteins and the mRNA levels for the proper functioning of an artificial pathway.

Microbial Factories in Bioelectrochemical Devices for Bioelectricity and Biohydrogen Production

In recent years, bioelectrochemical cells (BEC) have gained a significant interest in generating bioenergy from organic biomass and wastewaters. Especially, microbial fuel cells (MFCs) and microbial electrolysis cells (MECs) have been extensively exploited for bioelectricity and biohydrogen production (Logan et al., 2015; Dai et al., 2016). From a biological perspective, both the types of fuel cells function on the similar principle; therefore, common microorganisms can be deployed in these fuel cells for bioenergy production. The unique characteristic of these microorganisms (generally referred to as exoelectrogens or electricigens) in BEC is the exhibition of a specific “molecular machinery” that helps transfer the electrons from microbial outer-membrane to the conductive surfaces (Kracke et al., 2015). Subsequently, the electrons can be used to generate electricity and hydrogen. However, the energy outputs from MFCs and MECs are insufficient for real-world applications, and, currently, not feasible for commercialization. Theoretically, an MFC can produce a maximum voltage of 1.2 V, and the optimum hydrogen production yield in MEC would be 3.4 mol H2/mol-acetate (Logan et al., 2015). The real challenge to implement the BEC on a large-scale would be the high cost incurred per unit of energy produced in the system. Moreover, an efficient and suitable BEC design that plays an indispensable role in energy output is required to upscale the BECs. The BECs are in their infancy age, which leaves much scope for exploration of its relative concerns in the future toward improving the bioenergy production. A better understanding of the microbial pathways that are pivotal in BEC's performances such as electroactive biofilm formation, electron transfer mechanisms, and their further manipulations can help improve the energy output from these systems.

The BECs present a substantial platform to explore microbe–metal surface interactions and the microbial physiology to understand the different processes such as biofilm formation and the electron transfer mechanisms between bacteria and electrode surfaces as well as between bacteria. The exoelectrogens exhibit specific redox proteins/molecules that help the transfer of electrons from the microbial outer-membrane to the electrode surface (Kracke et al., 2015). The production of such proteins or the secretion of redox molecules can be enhanced in the exoelectrogens; consequently, more electrons could be transferred at a faster rate. This objective can be achieved by inserting the genes encoding these redox proteins or molecules into the exoelectrogen's genetic material considering that genetic engineering techniques promise great feasibility. Therefore, such genetically engineered exoelectrogens that possess the ability to produce abundant redox proteins can be employed in the BECs to increase the energy output. Similarly, the genes of the biosynthetic pathway for redox proteins can be expressed in non-exoelectrogens to increase the availability of versatile microorganisms in order to exploit the usefulness of numerous substrates for bioenergy production. Moreover, this approach would be extremely effective in terms of decreasing the start-up time and toward improving the performance of BECs. Hence, the use of genetically engineered exoelectrogens can be an advantageous tool in scaling-up the technology.

Conclusions and Future Outlook

The most challenging hurdle of producing biofuels using “microbial factories” is to generate a large amount of fuel on a comparatively lower budget and greater efficiency as compared to the conventional fossil fuels. In other words, for replacing petrol with bioethanol, the latter should be cheaper, which could be a highly challenging task in terms of meeting the daily requirement (quantity). For example, in USA, approximately 19 million barrels of petrol is consumed per day; generating this amount on the industrial scale could be an arduous task. Therefore, to increase the acceptability of microbial biofuel, its productivity should be prioritized in the future.

Author Contributions

RK write the manuscript. PK help in writing, edit and finalize the manuscript.

Conflict of Interest Statement

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.

Acknowledgments

Authors like to thanks their respective departments for the support and facilities.

References

Beopoulos, A., Cescut, J., Haddouche, R., Uribelarrea, J. L., Molina-Jouve, C., and Nicaud, J. M. (2009). Yarrowia lipolytica as a model for bio-oil production. Prog. Lipid Res. 48, 375–387. doi: 10.1016/j.plipres.2009.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, J. J., Ho, F. J., Ho, C. Y., Wu, Y. C., Hou, Y. H., Huang, C. C., et al. (2013). Assembling a cellulase cocktail and a cellodextrin transporter into a yeast host for CBP ethanol production. Biotechnol. Biofuels 6, 19–31. doi: 10.1186/1754-6834-6-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Chung, D., Cha, M., Guss, A. M., and Westpheling, J. (2014). Direct conversion of plant biomass to ethanol by engineered Caldicellulosiruptor bescii. Proc. Natl Acad. Sci. U.S.A. 111, 8931–8936. doi: 10.1073/pnas.1402210111

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, H., Yang, H., Liu, X., Jian, X., and Liang, Z. (2016). Electrochemical evaluation of nano-Mg(OH)2/graphene as a catalyst for hydrogen evolution in microbial electrolysis cell. Fuel 174, 251–256. doi: 10.1016/j.fuel.2016.02.013

CrossRef Full Text | Google Scholar

Davies, F. K., Work, V. H., Beliaev, A. S., and Posewitz, M. C. (2014). Engineering limonene and bisabolene production in wild type and a glycogen-deficient mutant of Synechococcus sp. PCC 7002. Front. Bioeng. Biotechnol. 2:21. doi: 10.3389/fbioe.2014.00021

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, M. S., and Cronan, J. E. (2001). Inhibition of Escherichia coli acetyl coenzyme a carboxylase by acyl-acyl carrier protein. J. Bacteriol. 183, 1499–1503. doi: 10.1128/JB.183.4.1499-1503.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

Deeba, F., Pruthi, V., and Negi, Y. S. (2016). Converting paper mill sludge into neutral lipids by oleaginous yeast Cryptococcus vishniaccii for biodiesel production. Bioresour. Technol. 213, 96–102. doi: 10.1016/j.biortech.2016.02.105

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuerst, J. (ed.). (2013). Planctomycetes: Cell Structure, Origins And Biology. New York, NY: Humana Press.

Google Scholar

Goldemberg, J., Coelho, S. T., and Guardabassi, P. (2008). The sustainability of ethanol production from sugarcane. Energy Policy 36, 2086–2097. doi: 10.1016/j.enpol.2008.02.028

CrossRef Full Text | Google Scholar

Hirokawa, Y., Maki, Y., Tatsuke, T., and Hanai, T. (2016). Cyanobacterial production of 1, 3-propanediol directly from carbon dioxide using a synthetic metabolic pathway. Metab. Eng. 34, 97–103. doi: 10.1016/j.ymben.2015.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, J., Chen, D., Wei, Y., Wang, Q., Li, Z., Chen, Y., et al. (2014). Direct ethanol production from lignocellulosic sugars and sugarcane bagasse by a recombinant Trichoderma reesei strain HJ48. Sci. World J. 2014:798683. doi: 10.1155/2014/798683

PubMed Abstract | CrossRef Full Text | Google Scholar

IPCC (2014). “Climate Change 2014: Mitigation of Climate Change,” in Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, eds O. Edenhofer, R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel, and J. C. Minx (Cambridge; New York, NY: Cambridge University Press), 7–9.

Kracke, F., Vassilev, I., and Krömer, J. O. (2015). Microbial electron transport and energy conservation–the foundation for optimizing bioelectrochemical systems. Front. Microbiol. 6:575. doi: 10.3389/fmicb.2015.00575

PubMed Abstract | CrossRef Full Text | Google Scholar

Kremer, T. A., LaSarre, B., Posto, A. L., and McKinlay, J. B. (2015). N2 gas is an effective fertilizer for bioethanol production by Zymomonas mobilis. Proc. Natl. Acad. Sci. U.S.A. 112, 2222–2226. doi: 10.1073/pnas.1420663112

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, P., Barrett, D. M., Delwiche, M. J., and Stroeve, P. (2009). Methods for pretreatment of lignocellulosic biomass for efficient hydrolysis and biofuel production. Ind. Eng. Chem. Res. 48, 3713–3729. doi: 10.1021/ie801542g

CrossRef Full Text | Google Scholar

Liao, J. C., Mi, L., Pontrelli, S., and Luo, S. (2016). Fuelling the future: microbial engineering for the production of sustainable biofuels. Nat. Rev. Microbiol. 14, 288–304. doi: 10.1038/nrmicro.2016.32

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, P. P., Mi, L., Morioka, A. H., Yoshino, K. M., Konishi, S., Xu, S. C., et al. (2015). Consolidated bioprocessing of cellulose to isobutanol using Clostridium thermocellum. Metab. Eng. 31, 44–52. doi: 10.1016/j.ymben.2015.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Logan, B. E., Wallack, M. J., Kim, K. Y., He, W., Feng, Y., and Saikaly, P. E. (2015). Assessment of microbial fuel cell configurations and power densities. Environ. Scie. Technol. Lett. 2, 206–214. doi: 10.1021/acs.estlett.5b00180

CrossRef Full Text | Google Scholar

Lütke-Eversloh, T., and Bahl, H. (2011). Metabolic engineering of Clostridium acetobutylicum: recent advances to improve butanol production. Curr. Opin. Biotechnol. 22, 634–647. doi: 10.1016/j.copbio.2011.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Lynd, L. R., Weimer, P. J., van Zyl, W. H., and Pretorius, I. S. (2002). Microbial cellulose utilization: fundamentals and biotechnology. Microbiol. Mol. Biol. Rev. 66, 506–577. doi: 10.1128/MMBR.66.3.506-577.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Mosier, N., Wyman, C., Dale, B., Elander, R., Lee, Y. Y., Holtzapple, M., et al. (2005). Features of promising technologies for pretreatment of lignocellulosic biomass. Bioresour. Technol. 96, 673–686. doi: 10.1016/j.biortech.2004.06.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielsen, D. R., Leonard, E., Yoon, S. H., Tseng, H. C., Yuan, C., and Prather, K. L. J. (2009). Engineering alternative butanol production platforms in heterologous bacteria. Metab. Eng. 11, 262–273. doi: 10.1016/j.ymben.2009.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Romero-García, J. M., Martínez-Pati-o, C., Ruiz, E., Romero, I., and Castro, E. (2016). Ethanol production from olive stone hydrolysates by xylose fermenting microorganisms. Bioethanol 2, 51–65. doi: 10.1515/bioeth-2016-0002

CrossRef Full Text | Google Scholar

Shen, C. R., Lan, E. I., Dekishima, Y., Baez, A., Cho, K. M., and Liao, J. C. (2011). Driving forces enable high-titer anaerobic 1-butanol synthesis in Escherichia coli. Appl. Environ. Microbiol. 77, 2905–2915. doi: 10.1128/AEM.03034-10

PubMed Abstract | CrossRef Full Text | Google Scholar

Westfall, P. J., Pitera, D. J., Lenihan, J. R., Eng, D., Woolard, F. X., Regentin, R., et al. (2012). Production of amorphadiene in yeast, and its conversion to dihydroartemisinic acid, precursor to the antimalarial agent artemisinin. Proc. Natl. Acad. Sci. U.S.A. 109, 111–118. doi: 10.1073/pnas.1110740109

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, S., Mohagheghi, A., Franden, M. A., Chou, Y. C., Chen, X., Dowe, N., et al. (2016). Metabolic engineering of Zymomonas mobilis for 2, 3-butanediol production from lignocellulosic biomass sugars. Biotechnol. Biofuels 9:189. doi: 10.1186/s13068-016-0606-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, A. Q., Juwono, N. K. P., Foo, J. L., Leong, S. S. J., and Chang, M. W. (2016). Metabolic engineering of Saccharomyces cerevisiae for the overproduction of short branched-chain fatty acids. Metab. Eng. 34, 36–43. doi: 10.1016/j.ymben.2015.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Yvon-Durocher, G., Allen, A. P., Bastviken, D., Conrad, R., Gudasz, C., St-Pierre, A., et al. (2014). Methane fluxes show consistent temperature dependence across microbial to ecosystem scales. Nature 507, 488–491. doi: 10.1038/nature13164

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: biofuels, biofuel cell, bioenergy, renewable energy, environmental impact

Citation: Kumar R and Kumar P (2017) Future Microbial Applications for Bioenergy Production: A Perspective. Front. Microbiol. 8:450. doi: 10.3389/fmicb.2017.00450

Received: 30 June 2016; Accepted: 03 March 2017;
Published: 21 March 2017.

Edited by:

David B. Wilson, Cornell University, USA

Reviewed by:

Jayanta Kumar Patra, Dongguk University Seoul, South Korea
Avinash Chandra Pandey, Syngenta India, India
Ram Prasad, Amity University, India

Copyright © 2017 Kumar and Kumar. 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) or licensor 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: Pradeep Kumar, pkbiotech@gmail.com