ArticleMicrobial biotechnology2017
Exploring bacterial interspecific interactions for discovery of novel antimicrobial compounds.
Article in Microbial biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 71 citations in OpenAlex.
- Pathogen-induced modulation of the volatile metabolome of Hanseniaspora uvarum LE-1 and its role in post-harvest disease suppression.World journal of microbiology & biotechnology · 2026Article
- Inducible Volatile Chemical Signalling Drives Antifungal Activity of Trichoderma hamatum GD12 During Confrontation With the Pathogen Sclerotinia sclerotiorum.Environmental microbiology reports · 2025Article
- Metabolomic profiling of VOC-driven interactions between Priestia megaterium and Bacillus licheniformis in a simulated rhizosphere using split petri dishes.Archives of microbiology · 2025Article
- Metabolomic profiling and antimicrobial investigation ofNarra J · 2025Article
- Enhancement of production of pathogen-suppressing volatiles using amino acids.Current research in microbial sciences · 2025Article
- ExploringFrontiers in microbiology · 2025Article
- Interaction ofFrontiers in pharmacology · 2024Article
- Silver Lactoferrin as Antimicrobials: Mechanisms of Action and Resistance Assessed by Bacterial Molecular Profiles.ACS omega · 2023Article
- Exploring the Interspecific Interactions and the Metabolome of the Soil Isolate Hylemonella gracilis.mSystems · 2023Article
- Article
- Air Ambulance: Antimicrobial Power of Bacterial Volatiles.Antibiotics (Basel, Switzerland) · 2022Review
- 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
- Chemical interplay and complementary adaptative strategies toggle bacterial antagonism and co-existence.Cell reports · 2021Article
- Lipopeptide-mediated bacterial interaction enables cooperative predator defense.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Metabolic Profiling of RhizobacteriaFrontiers in microbiology · 2021Article
- Microbial Derived Compounds, a Step Toward Enhancing Microbial Inoculants Technology for Sustainable Agriculture.Frontiers in microbiology · 2021Review
- Marine Anticancer Agents: An Overview with a Particular Focus on Their Chemical Classes.Marine drugs · 2020Review
- Harnessing microbial volatiles to replace pesticides and fertilizers.Microbial biotechnology · 2020Review
- The unexplored bacterial lifestyle on leaf surface.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020Review
- Volatile-mediated antagonism of soil bacterial communities against fungi.Environmental microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies indicated that the production of secondary metabolites by soil bacteria can be triggered by interspecific interactions. However, little is known to date about interspecific interactions between Gram-positive and Gram-negative bacteria. In this study, we aimed to understand how the interspecific interaction between the Gram-positive Paenibacillus sp. AD87 and the Gram-negative Burkholderia sp. AD24 affects the fitness, gene expression and the production of soluble and volatile secondary metabolites of both bacteria. To obtain better insight into this interaction, transcriptome and metabolome analyses were performed. Our results revealed that the interaction between the two bacteria affected their fitness, gene expression and the production of secondary metabolites. During interaction, the growth of Paenibacillus was not affected, whereas the growth of Burkholderia was inhibited at 48 and 72 h. Transcriptome analysis revealed that the interaction between Burkholderia and Paenibacillus caused significant transcriptional changes in both bacteria as compared to the monocultures. The metabolomic analysis revealed that the interaction increased the production of specific volatile and soluble antimicrobial compounds such as 2,5-bis(1-methylethyl)-pyrazine and an unknown Pederin-like compound. The pyrazine volatile compound produced by Paenibacillus was subjected to bioassays and showed strong inhibitory activity against Burkholderia and a range of plant and human pathogens. Moreover, strong additive antimicrobial effects were observed when soluble extracts from the interacting bacteria were combined with the pure 2,5-bis(1-methylethyl)-pyrazine. The results obtained in this study highlight the importance to explore bacterial interspecific interactions to discover novel secondary metabolites and to perform simultaneously metabolomics of both, soluble and volatile compounds.
Indexed as
Identifiers
What OpenQuestion holds
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.