Omics · study · 2026
Using Rhodopseudomonas palustris as a model bacterium to study fungal-bacterial interactions in wood decayed by the brown rot fungus Rhodonia placenta
Listed in NCBI GEO
Brown rot fungi play an essential role in carbon cycling by decomposing lignocellulose into substrates usable by themselves and other microbes.
Description
Interactions between bacteria and fungi can be competitive or beneficial, but these relationships are not well understood because of a lack of good model systems. To model cross-feeding between fungi and bacteria, wood decayed by the brown rot fungus Rhodonia placenta was used as a carbon source for the phototrophic bacterium Rhodopseudomonas palustris.
We found that fungal decay products generated by Rda. placenta could be used by R. palustris for growth, and later decay stages contained more usable substrates than early stages. Mass spectrometry identified a range of aromatic and non-aromatic acids, but after 95 days of bacterial growth, R. palustris only consumed non-aromatic acids over the aromatic lignin monomers. Genes involved with aromatic compound degradation were unimportant for growth and RNA sequencing revealed that aromatic compound degradation genes were repressed on decayed wood extract.
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Randomly barcoded transposon sequencing failed to identify a solitary catabolic pathway used by R. palustris, suggestive of substrate co-utilization, and surprisingly showed that genes involved with copper toxicity were essential. Finally, we found genes involved with biosynthesis of certain cofactors were non-essential on decayed wood extract, suggesting these nutrients were scavenged, and implicating these resources in supporting microbial communities in the environment.
This study helps lay the foundation for a model fungal-bacterial system to study interactions that govern these relationships which will be valuable for understanding ecological interactions and industrially relevant co-culture systems.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE311nnn/GSE311457 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE311457 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1369489 ncbi.nlm.nih.gov/bioproject/PRJNA1369489 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Mass spectrometry 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE311457 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:mass-spectrometry | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |