ReviewJournal of microbiology (Seoul, Korea)2015
Unraveling interactions in microbial communities - from co-cultures to microbiomes.
Review in Journal of microbiology (Seoul, Korea), 2015. 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.
- Growing bacterial colonies harness emergent genealogical demixing to regulate organizational entropy.Biophysical reports · 2024Article
- SkinCom, a synthetic skin microbial community, enables reproducible investigations of the human skin microbiome.Cell reports methods · 2024Article
- A thermophilic chemolithoautotrophic bacterial consortium suggests a mutual relationship between bacteria in extreme oligotrophic environments.Communications biology · 2023Article
- The effect of ultrasound treatment in combination with nisin on the inactivation of Listeria innocua and Escherichia coli.Ultrasonics sonochemistry · 2021Article
- Molecular Screening and Analysis Reveal Novel Oral Site-Specific Locations for the Cariogenic PathogenDentistry journal · 2021Article
- Polarization of microbial communities between competitive and cooperative metabolism.Nature ecology & evolution · 2021Article
- Formation, characterization and modeling of emergent synthetic microbial communities.Computational and structural biotechnology journal · 2021Article
- Modeling of nitrogen fixation and polymer production in the heterotrophic diazotrophMetabolic engineering communications · 2020Article
- Composition and Metabolic Functions of the Microbiome in Fermented Grain during Light-FlavorMicroorganisms · 2020Article
- Synthetic microbial communities of heterotrophs and phototrophs facilitate sustainable growth.Nature communications · 2020Article
- Biotransformation of 2,4-dinitrotoluene in a phototrophic co-culture of engineered Synechococcus elongatus and Pseudomonas putida.Microbial biotechnology · 2020Article
- Dynamic resource allocation drives growth under nitrogen starvation in eukaryotes.NPJ systems biology and applications · 2020Article
- Short-range interactions govern the dynamics and functions of microbial communities.Nature ecology & evolution · 2020Article
- Gut bacteria responding to dietary change encode sialidases that exhibit preference for red meat-associated carbohydrates.Nature microbiology · 2019Article
- Article
- Production of Biosurfactant Produced from Used Cooking Oil byMolecules (Basel, Switzerland) · 2019Article
- Finding Functional Differences Between Species in a Microbial Community: Case Studies in Wine Fermentation and Kefir Culture.Frontiers in microbiology · 2019Article
- A mapping framework of competition-cooperation QTLs that drive community dynamics.Nature communications · 2018Article
- The social network of microorganisms - how auxotrophies shape complex communities.Nature reviews. Microbiology · 2018Review
- Constraint-based modeling in microbial food biotechnology.Biochemical Society transactions · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microorganisms do not exist in isolation in the environment. Instead, they form complex communities among themselves as well as with their hosts. Different forms of interactions not only shape the composition of these communities but also define how these communities are established and maintained. The kinds of interaction a bacterium can employ are largely encoded in its genome. This allows us to deploy a genomescale modeling approach to understand, and ultimately predict, the complex and intertwined relationships in which microorganisms engage. So far, most studies on microbial communities have been focused on synthetic co-cultures and simple communities. However, recent advances in molecular and computational biology now enable bottom up methods to be deployed for complex microbial communities from the environment to provide insight into the intricate and dynamic interactions in which microorganisms are engaged. These methods will be applicable for a wide range of microbial communities involved in industrial processes, as well as understanding, preserving and reconditioning natural microbial communities present in soil, water, and the human microbiome.
Indexed as
Identifiers
25935300What 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.