ArticlemSphere2025
A framework for utilizing leaf-associated microbes to achieve conservation and restoration goals.
Article in mSphere, 2025. 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
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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
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Plant-associated microbiomes have profound effects on ecosystem functioning and play a role in the success of plants at both small and large scales. As key components of healthy plants and ecosystems, plant microbiomes should be considered in conservation and ecosystem management strategies. Many knowledge gaps and logistical barriers exist that increase the difficulty of employing microbes in conservation; however, some success has been achieved by manipulating the root microbiome and in agricultural contexts. In contrast with the root microbiome, the role of the leaf microbiome in conservation remains largely unexplored. In this perspective, we posit that the leaf microbiome plays an essential role in plant and ecosystem health and should be considered in conservation strategies. We include a framework for approaching leaf microbiome management, including identification of sources of disturbance, identifying mechanisms to address resulting plant stress, types of microbial inoculation to achieve desired outcomes, and co-producing plans of management with interest groups and rights holders.
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What Socratic 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 Socratic graph.