ReviewFrontiers in microbiology2026
Endosymbiotic interactions in the fungal kingdom: a framework for progressive endosymbiosis.
Review in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endosymbiotic interactions in fungi are fundamental to ecological and evolutionary processes; however, despite their potential to elucidate key mechanisms of biological integration, they remain insufficiently explored. This review provides a comprehensive synthesis of the available evidence on these associations across major fungal lineages, encompassing their composition, functional attributes, and breadth across diverse model systems. Additionally, the current state of artificial endosymbiosis is examined, together with its applications in multiple areas of biotechnology, spanning both natural and engineered systems. Finally, a framework of progressive endosymbiosis is proposed to describe the
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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.