Multi-element fingerprinting and high throughput sequencing identify multiple elements that affect fungal communities...

Area of Science:

• Plant pathology and mycology
• Ecology and environmental science
• Bioinformatics and computational biology

Background:

• Plant leaves host diverse fungi, including mutualists, pathogens, and saprobes.
• Fungal community assembly is influenced by dispersal, abiotic, and biotic factors.
• Identifying specific drivers of fungal community structure on leaves is challenging.

Purpose of the Study:

• To identify chemical elements significantly associated with dominant fungal operational taxonomic units (OTUs) on plant leaves.
• To explore the relationship between elemental composition of foliage and fungal community composition.
• To address challenges in analyzing complex ecological datasets.

Main Methods:

• Analysis of two large datasets containing fungal OTU frequency and plant foliage elemental data.
• Statistical mining to identify extreme responses of dominant fungal OTUs to specific chemical elements.
• Consideration of data limitations such as uneven OTU distribution and outlier effects.

Main Results:

• Several chemical elements were identified as having strong associations with dominant fungal OTUs.
• The study highlights specific elemental drivers influencing fungal community composition on native tree foliage.
• Data complexities, including uneven distributions and outliers, were noted as complicating factors.

Conclusions:

• Elemental composition of plant foliage plays a significant role in shaping leaf-associated fungal communities.
• Understanding these elemental associations can contribute to predicting fungal community assembly.
• Further research is needed to refine methods for analyzing complex ecological data and causal relationships.