Biofilm metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA315977 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3279031_1.fastq.gz | Fastqsanger.gz | |||
| SRR3279031_2.fastq.gz | Fastqsanger.gz | |||
| SRR3335242_1.fastq.gz | Fastqsanger.gz | |||
| SRR3335242_2.fastq.gz | Fastqsanger.gz | |||
| SRR3335213_1.fastq.gz | Fastqsanger.gz |
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Project description:Microbial biofilms are omnipresent and implicated in a wide spectrum of areas ranging from bioremediation, food production and biomedical applications. To date little is understood about how biofilm communities develop and function on a molecular level, due to the complexity of these biological systems. Here we ap-ply a meta-proteomics approach to investigate the mechanism driving biofilm formation in a microbial model consortium of four bacterial soil isolates of Steno-trophomonas rhizophila, Xanthomonas retroflexus, Microbacterium oxydans and Paeni-bacillus amylolyticus. The protein abundances between community and the single species biofilms were compared to describe how different metabolic pathways were influenced by inter-species interactions. Our results indicate that community development is dependent on interactions between community members facilitat-ing surface attachment and cross-feeding on specific amino acids. Opposite regu-lation patterns of fermentation and nitrogen pathways in Paenibacillus amylolyticus and Xanthomonas retroflexus may, however, also indicate that competition for lim-ited resources affects community development. Overall our results demonstrate the multitude of pathways characterizing biofilm formation in mixed communities. In order to obtain full taxonomic resolution between closely related species and empower correct protein quantification, we developed a novel pipeline for removing peptide sequences shared between community members from the ref-erence proteomes used for spectral database searches. This pipeline can readily be applied to other microbial communities.
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