ArticleMicroorganisms2026
Synthetic Microbial Communities Enhance Artificial Cyanobacterial Crusts Formation via Spatiotemporal Synergy.
Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Harnessing synthetic microbial communities for desert vegetation restoration.Synthetic and systems biotechnology · 2027Review
- Synthetic microbial communities: emerging live biotherapeutics for targeted gut microbiome modulation.Gut microbes · 2026Review
- Fungal co-inoculation enhances drought tolerance and soil functioning during cyanobacterial biological soil crust development.Frontiers in microbiology · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Artificial cyanobacterial crusts (ACCs) are a potentially effective biological strategy for combating desertification. However, while functional microorganisms influence ACCs formation efficiency, research on their role is limited, and their underlying promotion mechanisms remain unclear. Here, we investigated the effects of three functional synthetic microbial communities (SynComs), each dominated by microorganisms specialized in exopolysaccharide (EPS) production (3 strains), siderophore production (3 strains), or nitrogen fixation (4 strains), on ACCs formation following inoculation with
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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.