ArticleISME communications2021
Null-model-based network comparison reveals core associations.
Article in ISME communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
22 citing papers in PubMed.
- Plant diversity induces shifts from microbial generalists to specialist by enhancing niche differentiation, microbiome connectivity, and network stability in a temperate grassland.Environmental microbiome · 2026Article
- Antibiotic growth promoter and phytogenic feed additive consistently alter microbial community structure in chicken cecum.Frontiers in microbiology · 2026Article
- From assembly inference to co-occurrence organization: conservation contexts are associated with gut bacterial variation in the endangeredFrontiers in microbiology · 2026Article
- Geographic variation in the microbiome of Varroa destructor in the neighbouring countries Slovakia and Czechia.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
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- Functional redundancy and niche specialization in honeybee and Varroa microbiomes.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
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- Differential Impact of Simultaneous or Sequential Coinfections WithInternational journal of microbiology · 2025Article
- Microbial community variations in adultFrontiers in microbiology · 2025Article
- Differential impact ofHeliyon · 2024Article
- Nested patterns of commensals and endosymbionts in microbial communities of mosquito vectors.BMC microbiology · 2024Article
- Differential interactions of Rickettsia species with tick microbiota in Rh. sanguineus and Rh. turanicus.Scientific reports · 2024Article
- Disruption of bacterial interactions and community assembly in Babesia-infected Haemaphysalis longicornis following antibiotic treatment.BMC microbiology · 2024Article
- Integration of metataxonomic data sets into microbial association networks highlights shared bacterial community dynamics in fermented vegetables.Microbiology spectrum · 2024Article
- Dynamic nesting ofEcology and evolution · 2024Article
- Article
- Impact ofPathogens (Basel, Switzerland) · 2024Article
- Exploring the impact ofCurrent research in parasitology & vector-borne diseases · 2024Article
- Conserved core microbiota in managed and free-rangingFrontiers in microbiology · 2023Article
- A toolbox of machine learning software to support microbiome analysis.Frontiers in microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Microbial network construction and analysis is an important tool in microbial ecology. Such networks are often constructed from statistically inferred associations and may not represent ecological interactions. Hence, microbial association networks are error prone and do not necessarily reflect true community structure. We have developed anuran, a toolbox for investigation of noisy networks with null models. Such models allow researchers to generate data under the null hypothesis that all associations are random, supporting identification of nonrandom patterns in groups of association networks. This toolbox compares multiple networks to identify conserved subsets (core association networks, CANs) and other network properties that are shared across all networks. We apply anuran to a time series of fecal samples from 20 women to demonstrate the existence of CANs in a subset of the sampled individuals. Moreover, we use data from the Global Sponge Project to demonstrate that orders of sponges have a larger CAN than expected at random. In conclusion, this toolbox is a resource for investigators wanting to compare microbial networks across conditions, time series, gradients, or hosts.
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.