ReviewIntegrative and comparative biology2025
Host-Microbiome Interactions as Moderators of Host Quality and Biodiversity-Disease Relationships.
Review in Integrative and comparative biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Tracking Microbiome Composition and Stability Across Indian Social Honeybees Foraging in a Homogeneous Mustard Crop Landscape.Microbial ecology · 2026Article
- Integrating microbiome insights into cervical cancer.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Biodiversity-disease studies typically focus on how changes in community composition (e.g., species richness, abundance, and functional or phylogenetic metrics of biodiversity) affect disease risk. In doing so, these studies tend to overlook intraspecific variation in the organisms comprising the community. Yet, intraspecific variation, which occurs to varying degrees both within and between communities, could also modulate biodiversity-disease relationships. One important driver of intraspecific variation is the microbiome. By directly and indirectly influencing health and susceptibility to infection and disease, microbiomes are integral to organismal functioning. Thus, the microbiome plays a crucial role in host quality. We define host quality as an integration of host traits related to parasite exposure, establishment, growth, and infectivity, which ultimately shape parasite fitness. The microbiome can impact host quality via a variety of mechanisms including host size and developmental stage, immune function, reproduction, nutrient acquisition, and behavior. However, the potential for such microbiome-driven changes in host quality to trigger cascading effects on community-level processes, specifically by altering parasite transmission dynamics and community competence, has not been well explored. Here, we examine and illustrate a pathway by which the microbiome may influence variation in organismal biology (i.e., host quality) of hosts in communities. Furthermore, we consider how major anthropogenic drivers of microbiome shifts, such as climate change, pollution, land use change, and domestication, might influence this pathway and thereby alter outcomes. Future studies bridging microbiome and disease ecology research will provide opportunities to unify these concepts across scales and between the plant and animal domains. To date, most microbiome research has focused on humans, crops, and laboratory animals. However, to better understand the potential for knock-on ecological effects of microbiomes, more attention must be paid to the microbiomes of wild plants and animals. Ultimately, more experimental and theoretical data are needed to clarify how the microbiome impacts host quality and disease dynamics, as well as how anthropogenic factors continuously reshape these relationships.
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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.