ArticleMicrobial ecology2018
Label-Free Proteomics of a Defined, Binary Co-culture Reveals Diversity of Competitive Responses Between Members of a Model Soil Microbial System.
Article in Microbial ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Differential proteomics of bacteria grownmSystems · 2026Article
- Mono-mix strategy enables comparative proteomics of a cross-kingdom microbial symbiosis.PloS one · 2026Article
- Applying LFQRatio Normalization in Quantitative Proteomic Analysis of Microbial Co-culture Systems.Bio-protocol · 2025Article
- Co-existence of two antibiotic-producing marine bacteria:Applied and environmental microbiology · 2024Article
- LFQRatio: A Normalization Method to Decipher Quantitative Proteome Changes in Microbial Coculture Systems.Journal of proteome research · 2024Article
- Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization.BMC bioinformatics · 2023Article
- Metaproteomic and gene expression analysis of interspecies interactions in a PAH-degrading synthetic microbial consortium constructed with the key microbes of a natural consortium.Biodegradation · 2023Article
- Two related families of metal transferases, ZNG1 and ZNG2, are involved in acclimation to poor Zn nutrition in Arabidopsis.Frontiers in plant science · 2023Article
- Secretome Analysis of the Plant Biostimulant Bacteria StrainsInternational journal of molecular sciences · 2022Article
- Dynamic acylome reveals metabolite driven modifications inFrontiers in microbiology · 2022Article
- Plant-beneficial functions and interactions of Bacillus subtilis SL-44 and Enterobacter cloacae Rs-2 in co-culture by transcriptomics analysis.Environmental science and pollution research international · 2021Article
- ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.Briefings in bioinformatics · 2020Article
- Synthetic microbial consortia for biosynthesis and biodegradation: promises and challenges.Journal of industrial microbiology & biotechnology · 2019Review
- Discovery of the Consistently Well-Performed Analysis Chain for SWATH-MS Based Pharmacoproteomic Quantification.Frontiers in pharmacology · 2018Article
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Authors and funding
5 authors.
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Abstract
Interactions among members of microbial consortia drive the complex dynamics in soil, gut, and biotechnology microbiomes. Proteomic analysis of defined co-cultures of well-characterized species provides valuable information about microbial interactions. We used a label-free approach to quantify the responses to co-culture of two model bacterial species relevant to soil and rhizosphere ecology, Bacillus atrophaeus and Pseudomonas putida. Experiments determined the ratio of species in co-culture that would result in the greatest number of high-confidence protein identifications for both species. The 281 and 256 proteins with significant shifts in abundance for B. atrophaeus and P. putida, respectively, indicated responses to co-culture in overall metabolism, cell motility, and response to antagonistic compounds. Proteins associated with a virulent phenotype during surface-associated growth were significantly more abundant for P. putida in co-culture. Co-culture on agar plates triggered a filamentous phenotype in P. putida and avoidance of P. putida by B. atrophaeus colonies, corroborating antagonistic interactions between these species. Additional experiments showing increased relative abundance of P. putida under conditions of iron or zinc limitation and increased relative abundance of B. atrophaeus under magnesium limitation were consistent with patterns of changes in abundance of metal-binding proteins during co-culture. These results provide details on the nature of interactions between two species with antagonistic capabilities. Significant challenges remaining for the development of proteomics as a tool in microbial ecology include accurate quantification of low-abundance peptides, especially from rare species present at low relative abundance in a consortium.
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