The role of CsrA in controls the extracellular electron transfer and biofilm production in Geobacter sulfurreducens

CsrA is a post-transcriptional regulator that controls biofilm formation, virulence, carbon metabolism, and motility, among other phenotypes in bacteria. CsrA has been extensively studied in γ-proteobacteria and firmicutes, However the cellular processes controlled for regulation in δ-proteobacteria remain unknown. In this work, we constructed and characterized the Δ<i>csrA</i> mutant strain in <i>Geobacter sulfurreducens</i> to determine the involvement of the CsrA protein in the regulation of biofilm and extracellular electron transfer. The Δ<i>csrA</i> mutant strain shows higher rates of insoluble Fe(III) reduction than the wild type using acetate as electron donor and the growth with fumarate and soluble (Fe(III)) was similar to wild type. Biofilm quantification and characterization by confocal laser scanning microscopy, showed that the Δ<i>csrA</i> mutant produces up to twice as much biofilm as the wild type strain and more than 95% viable cells. Transcriptome analysis by RNA-seq showed that in Δ<i>csrA</i> biofilms developed on an inert support, differentially expressed 244 genes (103 upregulated and 141 downregulated), including those related to extracellular electron transfer, exopolysaccharide synthesis, c-di-GMP synthesis and degradation. To validate the transcriptome data, RT-qPCR confirmed the differential expression of several selected genes in the Δ<i>csrA</i> strain. Also, current production in microbial fuel cells was performed and the Δ<i>csrA</i> strain produced 45-50% more current than the wild type. To identify the genes that changed expression in the Δ<i>csrA</i> strain in the graphite electrodes in an MFC, a transcriptome analysis was performed 181 genes changed their expression in the Δ<i>csrA</i> biofilms, of which 113 genes were differentially expressed only in MFC and 68 genes changed their expression as well as the transcriptome of biofilms grown on glass. <i>In silico</i> analysis of the 5'-UTR regions revealed that 76 genes that changed expression in the RNA-seq analysis have a consensus sequence for CsrA binding. To our knowledge this is the first report describing the involvement of CsrA in the regulation of extracellular electron transfer and biofilm in a member of the δ-proteobacteria.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2025-03-11
DOI
https://doi.org/10.3389/fmicb.2025.1534446
Citations
2
Primary Topic
Microbial Fuel Cells and Bioremediation
Type
article
Field-Weighted Citation Impact
1.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of CsrA in controls the extracellular electron transfer and biofilm production in Geobacter sulfurreducens

Katy Juárez, Leticia Vega‐Alvarado, Guillermo Antonio Huerta-Miranda, Alberto Hernández-Eligio et al.
2 citations
Frontiers in Microbiology
Microbial Fuel Cells and Bioremediation
1.60
article

The role of CsrA in controls the extracellular electron transfer and biofilm production in Geobacter sulfurreducens

Katy Juárez, Leticia Vega‐Alvarado, Guillermo Antonio Huerta-Miranda, Alberto Hernández-Eligio, Xinying Liu, Jessica Cholula-Calixto
article en
2 citations

Abstract

CsrA is a post-transcriptional regulator that controls biofilm formation, virulence, carbon metabolism, and motility, among other phenotypes in bacteria. CsrA has been extensively studied in γ-proteobacteria and firmicutes, However the cellular processes controlled for regulation in δ-proteobacteria remain unknown. In this work, we constructed and characterized the Δ<i>csrA</i> mutant strain in <i>Geobacter sulfurreducens</i> to determine the involvement of the CsrA protein in the regulation of biofilm and extracellular electron transfer. The Δ<i>csrA</i> mutant strain shows higher rates of insoluble Fe(III) reduction than the wild type using acetate as electron donor and the growth with fumarate and soluble (Fe(III)) was similar to wild type. Biofilm quantification and characterization by confocal laser scanning microscopy, showed that the Δ<i>csrA</i> mutant produces up to twice as much biofilm as the wild type strain and more than 95% viable cells. Transcriptome analysis by RNA-seq showed that in Δ<i>csrA</i> biofilms developed on an inert support, differentially expressed 244 genes (103 upregulated and 141 downregulated), including those related to extracellular electron transfer, exopolysaccharide synthesis, c-di-GMP synthesis and degradation. To validate the transcriptome data, RT-qPCR confirmed the differential expression of several selected genes in the Δ<i>csrA</i> strain. Also, current production in microbial fuel cells was performed and the Δ<i>csrA</i> strain produced 45-50% more current than the wild type. To identify the genes that changed expression in the Δ<i>csrA</i> strain in the graphite electrodes in an MFC, a transcriptome analysis was performed 181 genes changed their expression in the Δ<i>csrA</i> biofilms, of which 113 genes were differentially expressed only in MFC and 68 genes changed their expression as well as the transcriptome of biofilms grown on glass. <i>In silico</i> analysis of the 5'-UTR regions revealed that 76 genes that changed expression in the RNA-seq analysis have a consensus sequence for CsrA binding. To our knowledge this is the first report describing the involvement of CsrA in the regulation of extracellular electron transfer and biofilm in a member of the δ-proteobacteria.

Frontiers in MicrobiologyVol. 16
Beijing Forestry University (CN), Universidad Nacional Autónoma de México (MX)
Clean water and sanitation
Openalex Percentile: Top 20%
Microbial Fuel Cells and Bioremediation
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.