ArticleFrontiers in microbiology2016
Transitioning from Microbiome Composition to Microbial Community Interactions: The Potential of the Metaorganism
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- The Human Microbiota and Obesity: A Literature Systematic Review of In Vivo Models and Technical Approaches.International journal of molecular sciences · 2018Pooled it
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- Deciphering bacterial mechanisms of root colonization.Environmental microbiology reports · 2021Review
- Structural identifiability of the generalized Lotka-Volterra model for microbiome studies.Royal Society open science · 2021Article
- A Reference Genome from the Symbiotic Hydrozoan,G3 (Bethesda, Md.) · 2020Article
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- Specific pathogens and microbial abundance within liver and kidney tissues of wild marine fish from the Eastern Mediterranean Sea.Microbial biotechnology · 2020Article
- Exploring the Niche Concept in a Simple Metaorganism.Frontiers in microbiology · 2020Article
- ThePathogens (Basel, Switzerland) · 2019Article
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- Long-Term Temperature Stress in the Coral Model Aiptasia Supports the "Anna Karenina Principle" for Bacterial Microbiomes.Frontiers in microbiology · 2019Article
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- Stem Cell Transcription Factor FoxO Controls Microbiome Resilience inFrontiers in microbiology · 2018Article
- Predicted Bacterial Interactions AffectFrontiers in microbiology · 2018Article
- The Intra-Dependence of Viruses and the Holobiont.Frontiers in immunology · 2017Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animals are home to complex microbial communities, which are shaped through interactions within the community, interactions with the host, and through environmental factors. The advent of high-throughput sequencing methods has led to novel insights in changing patterns of community composition and structure. However, deciphering the different types of interactions among community members, with their hosts and their interplay with their environment is still a challenge of major proportion. The emerging fields of synthetic microbial ecology and community systems biology have the potential to decrypt these complex relationships. Studying host-associated microbiota across multiple spatial and temporal scales will bridge the gap between individual microorganism studies and large-scale whole community surveys. Here, we discuss the unique potential of
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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.