ArticleMicroorganisms2020
Population Dynamics between
Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 44 citations in OpenAlex.
- Design of a Bacteriophage-Based Product for Biocontrol of Fire Blight and Black Rot.Microbial biotechnology · 2026Article
- RejuAgro A as an antimicrobial for fire blight control of pome fruits and beyond.Nature communications · 2026Article
- Review
- Impact of phage treatment on fire blight disease outcome and floral microbiome composition.Applied and environmental microbiology · 2025Article
- Article
- Phage host interactions reveal LPS and OmpA as receptors for two Erwinia amylovora phages.Scientific reports · 2025Article
- Design of Lytic Phage Cocktails TargetingViruses · 2025Article
- Efficacy ofMicrobiology spectrum · 2025Article
- Characterizations of Newly IsolatedViruses · 2025Article
- Plasmids encode and can mobilize onion pathogenicity in Pantoea agglomerans.The ISME journal · 2025Article
- Characterization of two novel bacteriophages (PSV6 and PSV3) as biocontrol agents againstFrontiers in microbiology · 2025Article
- Review
- Virus-host interactions predictor (VHIP): Machine learning approach to resolve microbial virus-host interaction networks.PLoS computational biology · 2024Article
- First EuropeanBiology · 2024Article
- Improved Viability of Spray-DriedViruses · 2024Article
- The applications of animal models in phage therapy: An update.Human vaccines & immunotherapeutics · 2023Review
- ECOPHAGE: Combating Antimicrobial Resistance Using Bacteriophages for Eco-Sustainable Agriculture and Food Systems.Viruses · 2023Article
- Development of TaqMan Real-Time PCR Protocols for Simultaneous Detection and Quantification of the Bacterial PathogenViruses · 2023Article
- Development and Evaluation of Bacteriophage Cocktail to Eradicate Biofilms Formed by an Extensively Drug-Resistant (XDR)Viruses · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Bacteriophages are viruses capable of recognizing with high specificity, propagating inside of, and destroying their bacterial hosts. The phage lytic life cycle makes phages attractive as tools to selectively kill pathogenic bacteria with minimal impact on the surrounding microbiome. To effectively harness the potential of phages in therapy, it is critical to understand the phage-host dynamics and how these interactions can change in complex populations. Our model examined the interactions between the plant pathogen
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.