Publication detail

Novel species identification and deep functional annotation of electrogenic biofilms, selectively enriched in a microbial fuel cell array

Szydlowski, L., Ehlich, J., Szczerbiak, P., Shibata, N., & Goryanin, I.

Original Title

Novel species identification and deep functional annotation of electrogenic biofilms, selectively enriched in a microbial fuel cell array

Type

journal article in Web of Science

Language

English

Original Abstract

In this study, electrogenic microbial communities originating from a single source were multiplied using our custom-made, 96-well-plate-based microbial fuel cell (MFC) array. Developed communities operated under different pH conditions and produced currents up to 19.4 A/m3 (0.6 A/m2) within 2 days of inoculation. Microscopic observations [combined scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS)] revealed that some species present in the anodic biofilm adsorbed copper on their surface because of the bioleaching of the printed circuit board (PCB), yielding Cu2 + ions up to 600 mg/L. Beta- diversity indicates taxonomic divergence among all communities, but functional clustering is based on reactor pH. Annotated metagenomes showed the high presence of multicopper oxidases and Cu-resistance genes, as well as genes encoding aliphatic and aromatic hydrocarbon-degrading enzymes, corresponding to PCB bioleaching. Metagenome analysis revealed a high abundance of Dietzia spp., previously characterized in MFCs, which did not grow at pH 4. Binning metagenomes allowed us to identify novel species, one belonging to Actinotalea, not yet associated with electrogenicity and enriched only in the pH 7 anode. Furthermore, we identified 854 unique protein-coding genes in Actinotalea that lacked sequence homology with other metagenomes. The function of some genes was predicted with high accuracy through deep functional residue identification (DeepFRI), with several of these genes potentially related to electrogenic capacity. Our results demonstrate the feasibility of using MFC arrays for the enrichment of functional electrogenic microbial consortia and data mining for the comparative analysis of either consortia or their members.

Keywords

microbial fuel cell; metagenome; function prediction; copper; printed circuit board (PCB); bioleaching

Authors

Szydlowski, L., Ehlich, J., Szczerbiak, P., Shibata, N., & Goryanin, I.

Released

14. 9. 2022

Publisher

FRONTIERS MEDIA SA

Location

LAUSANNE

ISBN

1664-302X

Periodical

Frontiers in Microbiology

Year of study

13

Number

14 September 202

State

Swiss Confederation

Pages from

1

Pages to

11

Pages count

11

URL

https://www.frontiersin.org/articles/10.3389/fmicb.2022.951044/full

BibTex

@article{BUT179919,
  author="Lukasz {Szydlowski} and Jiří {Ehlich} and Pawel {Szczerbiak} and Noriko {Shibata} and Igor {Goryanin}",
  title="Novel species identification and deep functional annotation of electrogenic biofilms, selectively enriched in a microbial fuel cell array",
  journal="Frontiers in Microbiology",
  year="2022",
  volume="13",
  number="14 September 202",
  pages="1--11",
  doi="10.3389/fmicb.2022.951044",
  issn="1664-302X",
  url="https://www.frontiersin.org/articles/10.3389/fmicb.2022.951044/full"
}