Cited by 42Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBacterial Genetics and Biotechnology

Multifaceted Applications of Synthetic Microbial Communities: Advances in Biomedicine, Bioremediation, and Industry

Open access
Contreras-Salgado, Edgar Adrian, Sánchez-Morán, Ana Georgina, Rodríguez-Preciado, Sergio Yair, Sifuentes-Franco, Sonia, Rodríguez-Rodríguez, Rogelio, Macías-Barragán, José, Díaz-Zaragoza, Mariana·2024·Microbiology Research

Abstract

The broad range of applications offered by synthetic biology and bioengineering has revolutionized the ability to design and redesign microorganisms to express specific functions, overcoming the limitations of natural biological systems. This advancement has been achieved through the use of mathematical models and genetic circuits, enabling the precise design of synthetic microbial communities. These are defined as artificially created communities through co-cultures of selected species that share similar characteristics and environments. Reprogramming an organism is carried out by inserting synthetic genetic circuits, which are designed in a controlled manner to obtain biotechnological products beneficial to humans, their health, and the environment. The potential applications in medicine, bioremediation, industry, and pharmaceuticals make the research of synthetic microbial communities a promising field for the future. However, the implementation of synthetic microbial communities carries potential risks, such as horizontal gene transfer and possible environmental impacts. It is crucial to carefully evaluate these functions and risks, considering biocontainment and the associated ethical and ecological implications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/microbiolres15030113

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Synthetic microbial consortia have been explored to enhance biodegradation, yet their success in real-world applications remains limited by challenges in controlling their behavior outside controlled laboratory settings.

    “In addition, synthetic microbial consortia have been explored to enhance biodegradation, yet their success in real-world applications remains limited by challenges in controlling their behavior outside of controlled laboratory settings [74].”

    From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [74]

    Section 5.2 (Bioremediation and Industry; page not available) describes synthetic consortia constructed to degrade oil and reports improved degradation under optimal conditions. Sections 2.1 and 6 discuss controllability under laboratory conditions and risks of implementation, but the paper does not establish that difficulty controlling behavior outside the lab has limited real-world biodegradation success. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 97

  1. Callieri, C.; Eckert, E.M.; Di Cesare, A.; Bertoni, F. Microbial Communities. In Encyclopedia of Ecology, 2nd ed.; Fath, B., Ed.; Elsevier: Amsterdam, The Netherlands, 2019; pp. 126-134. [CrossRef] · DOI
  2. Gautam, S.S.; Gondwal, M.; Soni, R.; Gautam, B.P.S. Potash biofertilizers: Current development, formulation, and applications. In Trends of Applied Microbiology for Sustainable Economy; Academic Press: Cambridge, MA, USA, 2022; pp. 481-500. [CrossRef] · DOI
  3. Ding, Q.; Diao, W.; Gao, C.; Chen, X.; Liu, L. Microbial cell engineering to improve cellular synthetic capacity. Biotechnol. Adv. 2020, 45, 107649. [CrossRef] [PubMed] · DOI
  4. Sgobba, E.; Wendisch, V.F. Synthetic microbial consortia for small molecule production. Curr. Opin. Biotechnol. 2020, 62, 72-79. [CrossRef] [PubMed] · DOI
  5. Ben Said, S.; Or, D. Synthetic Microbial Ecology: Engineering Habitats for Modular Consortia. Front. Microbiol. 2017, 8, 1125. [CrossRef] · DOI
  6. Jagmann, N.; Philipp, B. Design of synthetic microbial communities for biotechnological production processes. J. Biotechnol. 2014, 184, 209-218. [CrossRef] [PubMed] · DOI
  7. Johns, N.I.; Blazejewski, T.; Gomes, A.L.; Wang, H.H. Principles for designing synthetic microbial communities. Curr. Opin. Microbiol. 2016, 31, 146-153. [CrossRef] [PubMed] · DOI
  8. Großkopf, T.; Soyer, O.S. Synthetic microbial communities. Curr. Opin. Microbiol. 2014, 18, 72-77. [CrossRef] [PubMed] · DOI
  9. Tan, X.; Letendre, J.H.; Collins, J.J.; Wong, W.W. Synthetic biology in the clinic: Engineering vaccines, diagnostics, and therapeutics. Cell 2021, 184, 881-898. [CrossRef] · DOI
  10. Cermak, N.; Datta, M.S.; Conwill, A. Rapid, Inexpensive Measurement of Synthetic Bacterial Community Composition by Sanger Sequencing of Amplicon Mixtures. iScience 2020, 23, 100915. [CrossRef] · DOI
  11. Konopka, A. Ecology, microbial. In Encyclopedia of Microbiology; Academic Press: Cambridge, MA, USA, 2009; pp. 91-106. [CrossRef] · DOI
  12. Bernstein, H.C.; Carlson, R.P. Microbial Consortia Engineering for Cellular Factories: In vitro to in silico systems. Comput. Struct. Biotechnol. J. 2012, 3, e201210017. [CrossRef] · DOI
  13. Blasche, S.; Kim, Y.; Oliveira, A.P.; Patil, K.R. Model microbial communities for ecosystems biology. Curr. Opin. Syst. Biol. 2017, 6, 51-57. [CrossRef] · DOI
  14. Zhang, Y.; Yu, J.; Wu, Y.; Li, M.; Zhao, Y.; Zhu, H.; Chen, C.; Wang, M.; Chen, B.; Tan, T. Efficient production of chemicals from microorganism by metabolic engineering and synthetic biology. Chin. J. Chem. Eng. 2021, 30, 14-28. [CrossRef] · DOI
  15. Aguirre-Cárcer, D. Experimental and computational approaches to unravel microbial community assembly. Comput. Struct. Biotechnol. J. 2020, 18, 4071-4081. [CrossRef] · DOI
  16. Mccarty, N.S.; Ledesma-Amaro, R. Synthetic Biology Tools to Engineer Microbial Communities for Biotechnology. Trends Biotechnol. 2019, 37, 181-197. [CrossRef] · DOI
  17. Antoniewicz, M.R. A guide to deciphering microbial interactions and metabolic fluxes in microbiome communities. Curr. Opin. Biotechnol. 2020, 64, 230-237. [CrossRef] · DOI
  18. Eng, A.; Borenstein, E. Microbial community design: Methods, applications, and opportunities. Curr. Opin. Biotechnol. 2019, 58, 117-128. [CrossRef] · DOI
  19. Rojas-Badía, M. Quorum sensing in beneficial plant-bacteria associations. Rev. Colomb. Biotecnol. 2011, 13, 135-143.
  20. Honjo, H.; Iwasaki, K.; Soma, Y.; Tsuruno, K.; Hamada, H.; Hanai, T. Synthetic microbial consortium with specific roles designated by genetic circuits for cooperative chemical production. Metab. Eng. 2019, 55, 268-275. [CrossRef] [PubMed] · DOI
  21. Bengtsson-Palme, J. Microbial model communities: To understand complexity, harness the power of simplicity. Comput. Struct. Biotechnol. J. 2020, 18, 3987-4001. [CrossRef] [PubMed] · DOI
  22. Brenner, K.; Karig, D.K.; Weiss, R.; Arnold, F.H. Engineered bidirectional communication mediates a consensus in a microbial biofilm consortium. Proc. Natl. Acad. Sci. USA 2007, 104, 17300-17304. [CrossRef] [PubMed] · DOI
  23. Zhang, M.; Qiao, C.; Luan, G.; Luo, Q.; Lu, X. Systematic Identification of Target Genes for Cellular Morphology Engineering in Synechococcus elongatus PCC7942. Front. Microbiol. 2020, 11, 1608. [CrossRef] · DOI
  24. García-Jiménez, B.; Torres-Bacete, J.; Nogales, J. Metabolic modelling approaches for describing and engineering microbial communities. Comput. Struct. Biotechnol. J. 2021, 19, 226-246. [CrossRef] [PubMed] · DOI
  25. Gallardo-Navarro, O.; Aguilar-Salinas, B.; Rocha, J.; Olmedo-Álvarez, G. Higher-Order Interactions and Emergent Properties of Microbial Communities: The Power of Synthetic Ecology. Heliyon 2024, 10, E33896. [CrossRef] · DOI
  26. Bruno, J.F.; Stachowicz, J.J.; Bertness, M.D. Inclusion of facilitation into ecological theory. Trends Ecol. Evol. 2003, 18, 119-125. [CrossRef] · DOI
  27. Zhang, H.; Hu, J.; Peng, X.; Zhou, L.; Zhang, T.; Zhang, Y.; Yin, H.; Meng, D. Impacts of ammoniacal odour removal bioagent on air bacterial community. Adv. Biotechnol. 2024, 2, 8. [CrossRef] · DOI
  28. Cao, P.; Wei, X.; Wang, G.; Chen, X.; Han, J.; Li, Y. Microbial inoculants and garbage fermentation liquid reduced root-knot nematode disease and As uptake in Panax quinquefolium cultivation by modulating rhizosphere microbiota community. Chin. Herb. Med. 2022, 14, 58-69. [CrossRef] · DOI
  29. Faust, K.; Raes, J. Microbial interactions: From networks to models. Nat. Rev. Microbiol. 2012, 10, 538-550. [CrossRef] · DOI
  30. Wang, Y.; Zhang, M.; Dong, L.; Zhang, G.; Bai, X.; Wang, J.; Li, Y.; Hu, S.; Yu, X. Interactions between root and rhizosphere microbes mediate phosphorus acquisition in Pinus tabulaeformis. Ind. Crops Prod. 2024, 215, 118624. [CrossRef] · DOI
  31. Maqsood, Q.; Sumrin, A.; Waseem, R.; Hussain, M.; Imtiaz, M.; Hussain, N. Bioengineered microbial strains for detoxification of toxic environmental pollutants. Environ. Res. 2023, 227, 115665. [CrossRef] [PubMed] · DOI
  32. Requena, T.; Velasco, M. Microbioma humano en la salud y la enfermedad. Rev. Clín. Esp. 2019, 221, 233-240. [CrossRef] · DOI
  33. De Lorenzo, V.; Krasnogor, N.; Schmidt, M. For the sake of the Bioeconomy: Define what a Synthetic Biology Chassis is! New Biotechnol. 2021, 60, 44-51. [CrossRef] · DOI
  34. Bittihn, P.; Din, M.O.; Tsimring, L.S.; Hasty, J. Rational engineering of synthetic microbial systems: From single cells to consortia. Curr. Opin. Microbiol. 2018, 45, 92-99. [CrossRef] [PubMed] · DOI
  35. Kapoore, R.V.; Padmaperuma, G.; Maneein, S.; Vaidyanathan, S. Co-culturing microbial consortia: Approaches for applications in biomanufacturing and bioprocessing. Crit. Rev. Biotechnol. 2021, 42, 46-72. [CrossRef] [PubMed] · DOI
  36. Troncoso, C.; Pavez, M.; Santos, A.; Salazar, R.; Barrientos, L. Structural and physiological implications of bacterial cell in antibiotic resistance mechanisms. Int. J. Morphol. 2017, 35, 1214-1223. [CrossRef] · DOI
  37. Foresto, E.; Bogino, P.C. Quorum sensing: Un lenguaje común entre bacterias y plantas con importancia en la producción agrícola. Rev. Bol. Biol. 2020, 22, 10-55.
  38. Malla, M.A.; Ansari, F.A.; Bux, F.; Kumari, S. Re-vitalizing wastewater: Nutrient recovery and carbon capture through microbe- algae synergy using omics-biology. Environ. Res. 2024, 259, 119439. [CrossRef] [PubMed] · DOI
  39. Porter, J.R.; Batchelor, E. Using Computational Modeling and Experimental Synthetic Perturbations to Probe Biological Circuits. In Methods in Molecular Biology; Humana Press: New York, NY, USA, 2014; pp. 259-276. [CrossRef] · DOI
  40. Zomorrodi, A.R.; Segrè, D. Synthetic ecology of microbes: Mathematical models and applications. J. Mol. Biol. 2016, 428, 837-861. [CrossRef] [PubMed] · DOI
  41. Hsu, R.H.; Clark, R.L.; Tan, J.W.; Ahn, J.C.; Gupta, S.; Romero, P.A.; Venturelli, O.S. Microbial Interaction Network Inference in Microfluidic Droplets. Cell Syst. 2019, 9, 229-242.e4. [CrossRef] [PubMed] · DOI
  42. Glass, D.S.; Riedel-Kruse, I.H. A Synthetic Bacterial Cell-Cell Adhesion Toolbox for Programming Multicellular Morphologies and Patterns. Cell 2018, 174, 649-658.e16. [CrossRef] [PubMed] · DOI
  43. Jin, X.; Riedel-Kruse, I.H. Biofilm lithography enables high-resolution cell patterning via optogenetic adhesin expression. Proc. Natl. Acad. Sci. USA 2018, 115, 3698-3703. [CrossRef] · DOI
  44. Gardner, T.S.; Cantor, C.R.; Collins, J.J. Construction of a genetic toggle switch in Escherichia coli. Nature 2000, 403, 339-342. [CrossRef] · DOI
  45. Elowitz, M.B.; Leibler, S. A synthetic oscillatory network of transcriptional regulators. Nature 2000, 403, 335-338. [CrossRef] [PubMed] · DOI
  46. Miller, M.B.; Bassler, B.L. Quorum sensing in bacteria. Annu. Rev. Microbiol. 2001, 55, 165-199. [CrossRef] [PubMed] · DOI
  47. He, Y.; Yun, H.; Peng, L.; Ji, J.; Wang, W.; Li, X. Deciphering the potential role of quorum quenching in efficient aerobic denitrification driven by a synthetic microbial community. Water Res. 2024, 251, 121162. [CrossRef] [PubMed] · DOI
  48. Han, Y.H.; Kim, G.; Seo, S.W. Programable synthetic biology tools for developing microbial cell factories. Curr. Opin. Biotechnol. 2023, 79, 102874. [CrossRef] · DOI
  49. Selberg, J.; Gomez, M.; Rolandi, M. The potential for convergence between synthetic biology and bioelectronics. Cell Syst. 2018, 7, 231-244. [CrossRef] [PubMed] · DOI
  50. Didovyk, A.; Borek, B.; Hasty, J.; Tsimring, L. Orthogonal Modular Gene Repression in Escherichia coli Using Engineered CRISPR/Cas9. ACS Synth. Biol. 2016, 5, 81-88. [CrossRef] [PubMed] · DOI
  51. Barreto, A.C. Quorum Sensing: Sistemas de comunicación bacteriana. Cienc. Actual 2011, 2, 43-50.
  52. Zhang, L.; Zou, W.; Ni, M.; Hu, Q.; Zhao, L.; Liao, X.; Huang, Q.; Zhou, R. Development and application of two inducible expression systems for Streptococcus suis. Microbiol. Spectrum. 2022, 10, e0036322. [CrossRef] · DOI
  53. Charubin, K.; Bennett, R.K.; Fast, A.G.; Papoutsakis, E.T. Engineering Clostridium organisms as microbial cell-factories: Chal- lenges & opportunities. Metab. Eng. 2018, 50, 173-191. [CrossRef] · DOI
  54. Jeong, S.H.; Lee, H.J.; Lee, S.J. Recent advances in CRISPR-Cas technologies for synthetic biology. J. Microbiol. 2023, 61, 13-36. [CrossRef] · DOI
  55. Hutinet, G.; Kot, W.; Cui, L.; Hillebrand, R.; Balamkundu, S.; Gnanakalai, S.; Neelakandan, R.; Carstens, A.B.; Lui, C.F.; Tremblay, D.; et al. 7-Deazaguanine modifications protect phage DNA from host restriction systems. Nat. Commun. 2019, 10, 5442. [CrossRef] · DOI
  56. Mojica, F.J.M.; Juez, G.; Rodriguez-Valera, F. Transcription at different salinities of Haloferax mediterranei sequences adjacent to partially modified PstI sites. Mol. Microbiol. 1993, 9, 613-621. [CrossRef] [PubMed] · DOI
  57. Lammoglia-Cobo, M.F.; Lozano-Reyes, R.; García-Sandoval, C.D.; Avilez-Bahena, C.M.; Trejo-Reveles, V.; Muñoz-Soto, R.B.; López- Camacho, C. La revolución en ingeniería genética: Sistema CRISPR/Cas. Investig. Discapacidad. 2016, 5, 116-128. ISSN 2992-779X.
  58. Doudna, J.A.; Charpentier, E. The new frontier of genome engineering with CRISPR-Cas9. Science 2014, 346, 1258096. [CrossRef] · DOI · Paper page
  59. Rubin, B.E.; Diamond, S.; Cress, B.F.; Crits-Christoph, A.; Lou, Y.C.; Borges, A.L.; Shivram, H.; He, C.; Xu, M.; Zhou, Z.; et al. Species-and site-specific genome editing in complex bacterial communities. Nat. Microbiol. 2021, 7, 34-47. [CrossRef] [PubMed] · DOI
  60. Stephens, K.; Bentley, W.E. Synthetic Biology for Manipulating Quorum Sensing in Microbial Consortia. Trends Microbiol. 2020, 28, 633-643. [CrossRef] · DOI
  61. Nealson, K.H.; Hastings, J.W. Bacterial bioluminescence: Its control and ecological significance. Microbiol. Rev. 1979, 43, 496-518. [CrossRef] [PubMed] · DOI
  62. Sarkar, K.; Sil, P.C. Effect of diet, pharmaceuticals, and environmental toxicants on gut microbiota imbalance and increased intestinal membrane permeability. In Toxicological Risk Assessment and Multi-System Health Impacts from Exposure; Tsatsakis, A.M., Ed.; Academic Press: Cambridge, MA, USA, 2021; pp. 403-413. [CrossRef] · DOI
  63. Thursby, E.; Juge, N. Introduction to the human gut microbiota. Biochem. J. 2017, 474, 1823-1836. [CrossRef] · DOI · Paper page
  64. Afzaal, M.; Saeed, F.; Shah, Y.A.; Hussain, M.; Rabail, R.; Socol, C.T.; Hassoun, A.; Pateiro, M.; Lorenzo, J.M.; Rusu, A.V.; et al. Human gut microbiota in health and disease: Unveiling the relationship. Front. Microbiol. 2022, 26, 999001. [CrossRef] · DOI · Paper page
  65. Zhang, J.S.; Chu, C.H.; Yu, O.Y. Oral Microbiome and Dental Caries Development. Dent. J. 2022, 10, 184. [CrossRef] · DOI
  66. Van Leeuwen, P.T.; Brul, S.; Zhang, J.; Wortel, M.T. Synthetic microbial communities (SynComs) of the human gut: Design, assembly, and applications. FEMS Microbiol. Rev. 2023, 47, fuad012. [CrossRef] [PubMed] · DOI
  67. Donkers, J.M.; van der Vaart, J.I.; van de Steeg, E. Gut-on-a-chip research for drug development: Implications of chip design on preclinical oral bioavailability or intestinal disease studies. Biomimetics 2023, 8, 226. [CrossRef] [PubMed] · DOI
  68. Liu, J.; Zhu, W.; Lessing, D.J.; Chu, W. Synthetic microbial consortia for the treatment of Clostridioides difficile infection in mice model. Microb. Biotechnol. 2023, 16, 1985-2006. [CrossRef] [PubMed] · DOI
  69. Gurbatri, C.R.; Lia, I.; Vincent, R.; Coker, C.; Castro, S.; Treuting, P.M.; Hinchliffe, T.E.; Arpaia, N.; Danino, T. Engineered probiotics for local tumor delivery of checkpoint blockade nanobodies. Sci. Transl. Med. 2020, 12, eaax0876. [CrossRef] [PubMed] · DOI · Paper page
  70. Anderson, J.C.; Clarke, E.J.; Arkin, A.P.; Voigt, C.A. Environmentally controlled invasion of cancer cells by engineered bacteria. J. Mol. Biol. 2006, 355, 619-627. [CrossRef] [PubMed] · DOI
  71. Patel, V.K.; Sarim, K.M.; Patel, A.K.; Rout, P.K.; Kalra, A. Synthetic microbial ecology and nanotechnology for the production of Taxol and its precursors: A step towards sustainable production of cancer therapeutics. In Design of Nanostructures for Theranostics Applications; Grumezescu, A.M., Ed.; William Andrew Publishing: Norwich, NY, USA, 2018; pp. 563-587. [CrossRef] · DOI
  72. Chen, D.S.; Irving, B.A.; Hodi, F.S. Molecular pathways: Next generation immunotherapy-Inhibiting programmed death ligand 1 and programmed death-1. Clin. Cancer Res. 2012, 18, 6580-6587. [CrossRef] [PubMed] · DOI
  73. Buchbinde, A.; Desai, A. CTLA-4 y PD-1 Pathways. Am. J. Clin. Oncol. 2016, 39, 98-106. [CrossRef] · DOI · Paper page
  74. Hu, Y.; Liu, C.; Muyldermans, S. Nanobody-Based Delivery Systems for Diagnosis and Targeted Tumor Therapy. Front. Immunol. 2017, 8, 1442. [CrossRef] [PubMed] · DOI
  75. Rylott, E.L.; Bruce, N.C. How synthetic biology can help bioremediation. Curr. Opin. Chem. Biol. 2020, 58, 86-95. [CrossRef] · DOI
  76. Fuentes, S.; Méndez, V.; Aguila, P.; Seeger, M. Bioremediation of petroleum hydrocarbons: Catabolic genes, microbial communities, and applications. Appl. Microbiol. Biotechnol. 2014, 98, 4781-4794. [CrossRef] · DOI
  77. Schwab, S.; de Souza Pires, A.; Candido, G.Z.; Saggin Júnior, O.J.; Reis, V.M.; Cruz, L.M. Analysis of the endophytic microbiota of roots and culms of two commercial sugarcane cultivars inoculated with a synthetic microbial community. Appl. Soil. Ecol. A Sect. Agric. Ecosyst. Environ. 2024, 195, 105235. [CrossRef] · DOI
  78. Chen, J.; Cai, Y.; Wang, Z.; Xu, Z.; Li, J.; Ma, X.; Zhuang, W.; Liu, D.; Wang, S.; Song, A.; et al. Construction of a synthetic microbial community based on multiomics linkage technology and analysis of the mechanism of lignocellulose degradation. Bioresour. Technol. 2023, 389, 129799. [CrossRef] [PubMed] · DOI
  79. Revelo-Romo, D.M.; Hurtado Gutiérrez, N.H.; Ruiz Pazos, J.O.; Pabón Figueroa, L.V.; Ordóñez Ordóñez, L.A. Bacterial diversity in the Cr(VI) reducing biocathode of a Microbial Fuel Cell with salt bridge. Rev. Argent. Microbiol. 2019, 51, 110-118. [CrossRef] [PubMed] · DOI
  80. Verma, N.; Sharma, R. Bioremediation of Toxic Heavy Metals: A Patent Review. Recent. Pat. Biotechnol. 2017, 11, 171-187. [CrossRef] · DOI
  81. Tripathi, S.; Arora, N.; Gupta, P.; Pruthi, P.A.; Poluri, K.M.; Pruthi, V. Microalgae. In Advanced Biofuels; Woodhead Publishing: Sawston, UK, 2019; pp. 97-128. [CrossRef] · DOI
  82. Chakravorty, M.; Nanda, M.; Bisht, B.; Sharma, R.K.; Kumar, S.; Mishra, A.; Vlaskin, M.S.; Chauhan, P.K.; Kumar, V. Heavy metal tolerance in microalgae: Detoxification mechanisms and applications. Aquat. Toxicol. 2023, 260, 106555. [CrossRef] [PubMed] · DOI
  83. Vacca-Jimeno, V.A.; Angulo-Mercado, E.R.; Puentes Ballesteros, D.M.; Torres-Yépez, J.G.; Plaza-Vega, M.E. Using the microalgae Chlorella sp. live suspended in decoloration wastewater from a textile factory. Prospects 2017, 15, 93-99. [CrossRef] · DOI
  84. Marrero-Coto, J.; Díaz-Valdivia, A.; Coto-Pérez, O. Mecanismos moleculares de resistencia a metales pesados en las bacterias y sus aplicaciones en la biorremediación. RCCB 2009, 41, 67-78. Available online: https://www.redalyc.org/articulo.oa?id=181221 644010 (accessed on 12 February 2024).
  85. Quiroga, M.V.; Stegen, J.C.; Mataloni, G.; Cowan, D.; Lebre, P.H.; Valverde, A. Microdiverse bacterial clades prevail across Antarctic wetlands. Mol. Ecol. 2024, 33, e17189. [CrossRef] · DOI
  86. Abele, D.; Vazquez, S.; Buma, A.; Hernandez, E.; Quiroga, C.; Held, C.; Frickenhaus, S.; Harms, L.; Lopez, J.L.; Helmke, E.; et al. Pelagic and benthic communities of the Antarctic ecosystem of Potter Cove: Genomics and ecological implications. Mar. Genom. 2017, 33, 1-11. [CrossRef] · DOI
  87. Roell, M.S.; Zurbriggen, M.D. The impact of synthetic biology for future agriculture and nutrition. Curr. Opin. Biotechnol. 2020, 61, 102-109. [CrossRef] [PubMed] · DOI
  88. Valenzuela-Ruiz, V.; Ayala-Zepeda, M.; Arellano-Wattenbarger, G.L.; Parra-Cota, F.I.; García-Pereyra, G.; Aviña-Martínez, G.N.; de los Santos-Villalobos, S. Las colecciones microbianas y su potencial contribución a la seguridad alimentaria actual y futura. Rev. Latinoam. Rec. Nat. 2018, 14, 18-25. ISSN 2594-0384.
  89. Mardanov, A.V.; Kotlyarov, R.V.; Beletsky, A.V.; Pimenov, N.V.; Nikolaev, Y.A.; Grachev, V.A.; Berestovskaya, Y.Y.; Ravin, N.V. Metagenomic data of the microbial community of lab-scale nitritation-anammox sequencing-batch bioreactor performing nitrogen removal from synthetic wastewater. Data Brief 2019, 27, 104722. [CrossRef] [PubMed] · DOI
  90. Schnell, S.; Bak, F.; Pfennig, N. Anaerobic degradation of aniline and dihydroxybenzenes by newly isolated sulfate-reducing bacteria and description of Desulfobacterium anilini. Arch. Microbiol. 1989, 152, 556-563. [CrossRef] [PubMed] · DOI
  91. Xie, X.; Müller, N. Enhanced aniline degradation by Desulfatiglans anilini in a synthetic microbial community with the phototrophic purple sulfur bacterium Thiocapsa roseopersicina. Syst. Appl. Microbiol. 2019, 42, 125998. [CrossRef] [PubMed] · DOI
  92. Cui, J.; Huang, L.; Wang, W.; Xu, P.; Zanaroli, G.; Tang, H. Maximization of the petroleum biodegradation using a synthetic bacterial consortium based on minimal value algorithm. Int. Biodeterior. Biodegrad. 2020, 150, 104964. [CrossRef] · DOI
  93. Silva, R.M.P.; Pozo, M.I.C.; de Oca, J.M.M.; Rodríguez, A.A.; Viñas, M.; Moreno, D.C. Aislamiento y selección de una cepa bacteriana degradadora de hidrocarburos a partir de suelos contaminados con petróleo. Rev. CENIC Cienc. Biol. 2008, 39, 44-51. Available online: https://www.redalyc.org/articulo.oa?id=181214889004 (accessed on 18 November 2023).
  94. Chen, W.; Li, J.; Sun, X.; Min, J.; Hu, X. High efficiency degradation of alkanes and crude oil by a salt-tolerant bacterium Dietzia species CN-3. Int. Biodeterior. Biodegrad. 2017, 118, 110-118. [CrossRef] 100. Reyes-Reyes, M.A.; Puentes-Cala, E.A.; Casanova-Montes, E.L.; López-Deluque, F.; Panqueva-Álvarez, J.H.; Castillo-Villamizar, G.A. Immobilization of potentially crude oil degrading bacteria in synthetic and natural organic matrices. Rev. Int. Contam. Ambient. 2018, 34, 597-609. [CrossRef] 101. Du, R.; Jiang, J.; Qu, G.; Wu, Q.; Xu, Y. Directionally controlling flavor compound profile based on the structure of synthetic microbial community in Chinese liquor fermentation. Food Microbiol. 2023, 114, 104305. [CrossRef] 102. Jiang, X.; Peng, Z.; Zhang, J. Starting with screening strains to construct synthetic microbial communities (SynComs) for traditional food fermentation. Int. Food Res. 2024, 190, 114557. [CrossRef] 103. Xin, W.; Zhang, J.; Yu, Y.; Tian, Y.; Li, H.; Chen, X.; Li, W.; Liu, Y.; Lu, T.; He, B.; et al. Root microbiota of tea plants regulate nitrogen homeostasis and theanine synthesis to influence tea quality. Curr. Biol. 2024, 34, 868-880.e6. [CrossRef] [PubMed] 104. · DOI
  95. Yuan, J.; Zhao, K.; Tan, X.; Xue, R.; Zeng, Y.; Ratti, C.; Trivedi, P. Perspective on the development of synthetic microbial community (SynCom) biosensors. Trends Biotechnol. 2023, 41, 1227-1236. [CrossRef] [PubMed] 105. Yu, W.; Xu, X.; Jin, K.; Liu, Y.; Li, J.; Du, G.; Lv, X.; Liu, L. Genetically encoded biosensors for microbial synthetic biology: From conceptual frameworks to practical applications. Biotechnol. Adv. 2023, 62, 108077. [CrossRef] [PubMed] 106. Li, X.; Zheng, X.; Yadav, N.; Saha, S.; Salama, E.-S.; Li, X.; Wang, L.; Jeon, B.-H. Rational management of the plant microbiome for the Second Green Revolution. Plant Commun. 2024, 5, 100812. [CrossRef] 107. Hao, X.; Wang, X.; Chen, C.; Liu, R.; Yin, Y.; Yao, J.; Xiao, Z.; Liu, X.; Shen, X.; Liu, X. Synthetic bacterial communities reshape microbial communities and enhance nutrient supply in desertified land of Northwest China. Appl. Soil. Ecol. A Sect. Agric. Ecosyst. Environ. 2023, 189, 104972. [CrossRef] 108. · DOI
  96. Hays, S.G.; Yan, L.L.; Silver, P.A.; Ducat, D.C. Synthetic photosynthetic consortia define interactions leading to robustness and photoproduction. J. Biol. Eng. 2017, 11, 4. [CrossRef] 109. Ding, M.-Z.; Song, H.; Wang, E.-X.; Liu, Y.; Yuan, Y.-J. Design and construction of synthetic microbial consortia in China. Synth. Syst. Biotechnol. 2016, 1, 230-235. [CrossRef] 110. · DOI
  97. Trump, B.D.; Foran, C.; Rycroft, T.; Wood, M.D.; Bandolin, N.; Cains, M.; Hamilton, K. Development of community of practice to support quantitative risk assessment for synthetic biology products: Contaminant bioremediation and invasive carp control as cases. Environ. Syst. Decis. 2018, 38, 517-527. [CrossRef] 111. Sivasubramaniam, D.; Franks, A.E. Bioengineering microbial communities: Their potential to help, hinder and disgust. Bioengineered 2016, 7, 137-144. [CrossRef · DOI

Authors
Contreras-Salgado, E. A., Sánchez-Morán, A. G., Rodríguez-Preciado, S. Y., Sifuentes-Franco, S., Rodríguez-Rodríguez, R., Macías-Barragán, J., & Díaz-Zaragoza, M.
Affiliations
  • Universidad de Guadalajara (MX)
  • Laboratorio de Sistemas Biológicos, Departamento de Ciencias de la Salud, Centro Universitario de los Valles, Universidad de Guadalajara, Carretera Guadalajara-Ameca Km. 45.5, Ameca, Jalisco 466000, Mexico
  • Laboratorio de Ciencia Básica, Departamento de Ciencias Naturales y Exactas, Centro Universitario de los Valles, Universidad de Guadalajara, Carretera Guadalajara-Ameca Km. 45.5, Ameca, Jalisco 466000, Mexico
Corresponding author
Díaz-Zaragoza, Mariana
Venue
Microbiology Research
Publisher
MDPI AG
Published
2024-08-29
Volume
15
Issue
3
Pages
1709-1727
ISSN
  • 2036-7473 (ISSN-L)
  • 2036-7481
OpenAlex
W4401994297
Cited by
42
References
0
Citations by year
2026: 24 · 2025: 17 · 2024: 1
FWCI
5.43
Type
journal article
Language
en
Open access
Locations
  • Microbiology Research (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Fomento a la Investigación 2023–2024 Centro Universitario de los Valles (CUVALLES)-Universidad de Guadalajara (274321)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
Keywords
synthetic microbial communities, synthetic biology, synthetic gene circuits, co-culture, biomedicine, bioremediation, bioengineering, horizontal gene transfer, biocontainment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review