Comparative Multi-Omics Study of Endophytic Fungi Effects on Alpine Forage Grass
by Deyu Dong·Updated 3mo ago
2.4 MB1files
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Description
2.4 MB DOCX file details a multi-omics analysis of three endophytic fungal genera (Trichoderma, Cladosporium, Penicillium) on Festuca sinensis cv. Qinghai. The study identifies genus-specific molecular mechanisms for plant growth promotion, including tryptophan metabolism, steroid biosynthesis, and carbon cycling pathways. Authored by Deyu Dong and shared under CC BY 4.0.
Use Cases
Compare the distinct core mechanisms of Trichoderma, Cladosporium, and Penicillium genera described in the results.
Analyze the hierarchical gradient in growth-promoting mechanism complexity (Trichoderma > Cladosporium > Penicillium) identified in the study.
Extract data on forage growth-related traits like aboveground dry weight, root length, and tillering capacity from the methods and results sections.
Study the multi-omics findings linking specific pathways (tryptophan metabolism, steroid biosynthesis, carbon cycling) to plant growth promotion.
Strengths
Focuses on three specific endophytic fungal genera (Trichoderma, Cladosporium, Penicillium) with distinct molecular mechanisms.
Provides theoretical support for developing microbial inoculants specific to alpine forages like Festuca sinensis cv. Qinghai.
Limitations
Data is embedded in a 2.4 MB DOCX document, requiring manual extraction for computational analysis.
Sample data and structured columns are unavailable, limiting immediate machine-readability.
The study's specific sample sizes, row counts, and experimental replicates are not provided in the input.
Provenance
Source
figshare, authored by Deyu Dong.
Collection Method
Experimental study treating Festuca sinensis with endophytic fungi, followed by analysis of growth traits, soil enzymes, metabolomics, and transcriptomics.
Time Range
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Freshness
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Geography
Research focused on Festuca sinensis cv. Qinghai, a key forage on the Qinghai-Tibet Plateau, China.
Primary data is in a DOCX file format; users must parse the document text to access structured information. License is CC BY 4.0.