ReviewmSystems2026
Applying microbial ecology frameworks to microbial therapies for wildlife.
Review in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- From assembly inference to co-occurrence organization: conservation contexts are associated with gut bacterial variation in the endangeredFrontiers in microbiology · 2026Article
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.
Funding
Abstract
Microbial ecology is increasingly incorporated into human and animal medicine via the study and purposeful manipulation of host-associated microbiomes. Microbial therapies-treatments with the aim of beneficially modulating microbiomes-are a burgeoning area of research and industry. These microbial therapies include prebiotic dietary items, live probiotics, and whole microbiota transplants (e.g., fecal microbiota transplants). Although microbial therapies for humans and domestic animals are now widely produced for commercial use and application, evidence supporting the efficacy of commercial microbial therapies is mixed. We suggest that microbial therapies are most effective when paired with concepts from ecology and rigorous empirical research. This is particularly relevant for the development and use of microbial therapies in wildlife animal species, in which we see large-scale variation in microbial communities across hosts of varying ecologies. Identifying and developing microbial therapies that can simultaneously be accessible and effective in a variety of hosts poses a novel challenge for microbial ecologists, animal scientists, and human and animal medical professionals. In addition to pre- and probiotics, we suggest that whole microbiota transplants provide a method of microbial supplementation that may better align with species-specific microbial ecology. Moving forward, emerging methods used in human medicine such as machine learning, network analysis, and microbiome engineering using high-throughput culturomics will likely be key to identifying and applying functionally relevant (e.g., disease suppressive) microbial taxa for wildlife therapies.
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.