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Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques

Microbial Electrochemical Technologies are based on the use of electrochemically active microorganisms that can carry out extracellular electron transfer to an electrode while they are oxidizing the organic compounds. The dynamics and changes of the bacterial community in the anode biofilm and plank...

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Autores principales: Pepè Sciarria, Tommy, Arioli, Stefania, Gargari, Giorgio, Mora, Diego, Adani, Fabrizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374581/
https://www.ncbi.nlm.nih.gov/pubmed/30805299
http://dx.doi.org/10.1016/j.btre.2019.e00310
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author Pepè Sciarria, Tommy
Arioli, Stefania
Gargari, Giorgio
Mora, Diego
Adani, Fabrizio
author_facet Pepè Sciarria, Tommy
Arioli, Stefania
Gargari, Giorgio
Mora, Diego
Adani, Fabrizio
author_sort Pepè Sciarria, Tommy
collection PubMed
description Microbial Electrochemical Technologies are based on the use of electrochemically active microorganisms that can carry out extracellular electron transfer to an electrode while they are oxidizing the organic compounds. The dynamics and changes of the bacterial community in the anode biofilm and planktonic broth of an acetate fed batch single chamber air cathode MFC have been studied by combing flow-cytometry and Illumina sequencing techniques. At the beginning of the test, from 0 h to 70 h, microbial planktonic communities changed from four groups to two groups, as revealed by DNA content, and from three groups to one group based on the cell membrane polarization revealed by a DiOC(6)(3) probe. Between 4(th) day and 13(th) day, microbial communities changed from one group to a maximum of three groups, monitoring DNA content, and from one group to two based on the cell membrane polarization. The 16S rDNA gene profiling confirmed the shift in microbial communities, with Acinetobacter (39.34%), Azospirillum (27.66%), Arcobacter (4.17%) and Comamonas (2.62%) being the most abundant genera at the beginning of MFC activation. After 70 h the main genera detected were Azospirillum (46.42%), Acinetobacter (34.66%), Enterococcus (2.32%), Dysgonomonas (2.14%). Data obtained have shown that flow cytometry and illumina sequencing are useful tools to monitor “online” the changes in microbial communities during the MFCs start-up and the increase of Azospirillum and Acinetobacter genera is in good agreement with the MFC voltage generation. Moreover, monitoring planktonic populations, instead of the less accessible anode biofilm, was in good agreement with the evolution of MFC voltage.
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spelling pubmed-63745812019-02-25 Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques Pepè Sciarria, Tommy Arioli, Stefania Gargari, Giorgio Mora, Diego Adani, Fabrizio Biotechnol Rep (Amst) Article Microbial Electrochemical Technologies are based on the use of electrochemically active microorganisms that can carry out extracellular electron transfer to an electrode while they are oxidizing the organic compounds. The dynamics and changes of the bacterial community in the anode biofilm and planktonic broth of an acetate fed batch single chamber air cathode MFC have been studied by combing flow-cytometry and Illumina sequencing techniques. At the beginning of the test, from 0 h to 70 h, microbial planktonic communities changed from four groups to two groups, as revealed by DNA content, and from three groups to one group based on the cell membrane polarization revealed by a DiOC(6)(3) probe. Between 4(th) day and 13(th) day, microbial communities changed from one group to a maximum of three groups, monitoring DNA content, and from one group to two based on the cell membrane polarization. The 16S rDNA gene profiling confirmed the shift in microbial communities, with Acinetobacter (39.34%), Azospirillum (27.66%), Arcobacter (4.17%) and Comamonas (2.62%) being the most abundant genera at the beginning of MFC activation. After 70 h the main genera detected were Azospirillum (46.42%), Acinetobacter (34.66%), Enterococcus (2.32%), Dysgonomonas (2.14%). Data obtained have shown that flow cytometry and illumina sequencing are useful tools to monitor “online” the changes in microbial communities during the MFCs start-up and the increase of Azospirillum and Acinetobacter genera is in good agreement with the MFC voltage generation. Moreover, monitoring planktonic populations, instead of the less accessible anode biofilm, was in good agreement with the evolution of MFC voltage. Elsevier 2019-01-26 /pmc/articles/PMC6374581/ /pubmed/30805299 http://dx.doi.org/10.1016/j.btre.2019.e00310 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Pepè Sciarria, Tommy
Arioli, Stefania
Gargari, Giorgio
Mora, Diego
Adani, Fabrizio
Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title_full Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title_fullStr Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title_full_unstemmed Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title_short Monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
title_sort monitoring microbial communities’ dynamics during the start-up of microbial fuel cells by high-throughput screening techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374581/
https://www.ncbi.nlm.nih.gov/pubmed/30805299
http://dx.doi.org/10.1016/j.btre.2019.e00310
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