ArticleNature microbiology2026
Epistatic interactions inform rational design of synthetic microbial communities for bioremediation.
Article in Nature microbiology, 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.
- Engineering synthetic microbial communities for soil restoration: from rational design to multi-scale biogeochemical applications.Frontiers in microbiology · 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
The metabolism of microbial communities is essential for host and environmental health. The rational design of microbiomes with targeted functional properties is an important objective but remains challenging due to complex interactions and environmental heterogeneity. Community-function landscapes address this challenge by statistically inferring impacts of species presence or absence on function. Similar to fitness landscapes, community-function landscapes estimate both additive effects and interactions (epistasis) between species that influence function. We apply landscapes to design synthetic consortia to degrade the toxic contaminant bisphenol-A (BPA). Using synthetic communities of ten BPA-degrading bacteria, we map community-function landscapes across increasing BPA concentrations, where higher BPA means greater toxicity. Epistasis increases with toxicity, indicating that collective effects become more important for degradation. Designed communities are able to remediate BPA in contaminated soils. Our results demonstrate that toxicity can drive epistatic interactions in community-function landscapes and that these landscapes can guide microbial consortia design for bioremediation.
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.