ArticleNature microbiology2020
Macroecological dynamics of gut microbiota.
Article in Nature microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed.
- Omnidirectional Interaction Networks Modulating Phenotypic Plasticity in the Gut Microbiota Towards Ulcerative Colitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Fluctuating Growth Rates Link Turnover and Unevenness in Species-Rich Communities.Ecology letters · 2026Article
- Composition and dynamics of the adult nasal microbiome.Microbiome · 2026Article
- Association of oral microbiota and digestive system cancers revealed by bidirectional two sample Mendelian randomization.Discover oncology · 2026Article
- Gut microbiota and tuberculosis infection: interaction and therapeutic potential.Gut microbes · 2025Review
- Fecal exfoliome sequencing captures immune dynamics of the healthy and inflamed gut.Nature biotechnology · 2025Article
- Macroecological Laws Can Naturally Arise from Chaotic Internal Species Dynamics.bioRxiv : the preprint server for biology · 2025Article
- Effects of Short-Term Feeding with Diets Containing Insect Meal on the Gut Microbiota of African Catfish Hybrids.Animals : an open access journal from MDPI · 2025Article
- Macroecological patterns in experimental microbial communities.PLoS computational biology · 2025Article
- Growth-rate distributions of gut microbiota time series.Scientific reports · 2025Article
- Article
- Light-eye-body axis: exploring the network from retinal illumination to systemic regulation.Theranostics · 2025Review
- Intestinal dual-specificity phosphatase 6 regulates the cold-induced gut microbiota remodeling to promote white adipose browning.NPJ biofilms and microbiomes · 2024Article
- Towards a fundamental theory of taxon transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Structured community transitions explain the switching capacity of microbial systems.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Sparse species interactions reproduce abundance correlation patterns in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Gut microbiota variations in wild yellow baboons (Papio cynocephalus) are associated with sex and habitat disturbance.Scientific reports · 2024Article
- What Makes the Gut-Lung Axis Working? From the Perspective of Microbiota and Traditional Chinese Medicine.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024Review
- Eco-evolutionary feedbacks in the human gut microbiome.Nature communications · 2023Article
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.
Funding
Abstract
The gut microbiota is now widely recognized as a dynamic ecosystem that plays an important role in health and disease. Although current sequencing technologies make it possible to explore how relative abundances of host-associated bacteria change over time, the biological processes governing microbial dynamics remain poorly understood. Therefore, as in other ecological systems, it is important to identify quantitative relationships describing various aspects of gut microbiota dynamics. In the present study, we use multiple high-resolution time series data obtained from humans and mice to demonstrate that, despite their inherent complexity, gut microbiota dynamics can be characterized by several robust scaling relationships. Interestingly, the observed patterns are highly similar to those previously identified across diverse ecological communities and economic systems, including the temporal fluctuations of animal and plant populations and the performance of publicly traded companies. Specifically, we find power-law relationships describing short- and long-term changes in gut microbiota abundances, species residence and return times, and the correlation between the mean and the temporal variance of species abundances. The observed scaling laws are altered in mice receiving different diets and are affected by context-specific perturbations in humans. We use the macroecological relationships to reveal specific bacterial taxa, the dynamics of which are substantially perturbed by dietary and environmental changes. Overall, our results suggest that a quantitative macroecological framework will be important for characterizing and understanding the complex dynamics of diverse microbial communities.
Indexed as
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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.