ArticleScientific reports2017
A meta-proteomics approach to study the interspecies interactions affecting microbial biofilm development in a model community.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 69 citations in OpenAlex.
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- Co-cultivation rescues suicidal Paenibacillus amylolyticus swarms.The ISME journal · 2025Article
- Glyphosate effects on growth and biofilm formation in bee gut symbionts and diverse associated bacteria.Applied and environmental microbiology · 2024Article
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- Energy and nutrient recovery from municipal and industrial waste and wastewater-a perspective.Journal of industrial microbiology & biotechnology · 2024Review
- Label-Free Quantitative Proteomics of Oral Microbial Communities.Methods in molecular biology (Clifton, N.J.) · 2024Article
- The Association between Biofilm Formation and Antimicrobial Resistance with Possible Ingenious Bio-Remedial Approaches.Antibiotics (Basel, Switzerland) · 2022Review
- Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022Review
- Proteome ofInternational journal of molecular sciences · 2022Article
- Metabolic Profiling of Interspecies Interactions During Sessile Bacterial Cultivation Reveals Growth and Sporulation Induction inFrontiers in cellular and infection microbiology · 2022Article
- Evaluation of the differences between biofilm and planktonic Brucella abortus via metabolomics and proteomics.Functional & integrative genomics · 2021Article
- Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics.Biotechnology reports (Amsterdam, Netherlands) · 2021Article
- An Overview of Biological and Computational Methods for Designing Mechanism-Informed Anti-biofilm Agents.Frontiers in microbiology · 2021Review
- Surfaceome and Exoproteome Dynamics in Dual-SpeciesFrontiers in microbiology · 2021Article
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- Division of labour in a matrix, rather than phagocytosis or endosymbiosis, as a route for the origin of eukaryotic cells.Biology direct · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial biofilms are omnipresent in nature and relevant to a broad spectrum of industries ranging from bioremediation and food production to biomedical applications. To date little is understood about how multi-species biofilm communities develop and function on a molecular level, due to the complexity of these biological systems. Here we apply a meta-proteomics approach to investigate the mechanisms influencing biofilm formation in a model consortium of four bacterial soil isolates; Stenotrophomonas rhizophila, Xanthomonas retroflexus, Microbacterium oxydans and Paenibacillus amylolyticus. Protein abundances in community and single species biofilms were compared to describe occurring inter-species interactions and the resulting changes in active metabolic pathways. To obtain full taxonomic resolution between closely related species and empower correct protein quantification, we developed a novel pipeline for generating reduced reference proteomes for spectral database searches. Meta-proteomics profiling indicated that community development is dependent on cooperative interactions between community members facilitating cross-feeding on specific amino acids. Opposite regulation patterns of fermentation and nitrogen pathways in Paenibacillus amylolyticus and Xanthomonas retroflexus may, however, indicate that competition for limited resources also affects community development. Overall our results demonstrate the multitude of pathways involved in biofilm formation in mixed communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.