Predicting gene distribution in ammonia-oxidizing archaea using phylogenetic signals

Area of Science:

• Microbial Ecology
• Genomics
• Bioinformatics

Background:

• Microbial trait phylogenetic conservatism enables predictive functional ecology.
• Ammonia-oxidizing archaea (AOA) are crucial for nitrogen cycling.
• Predicting functional genes aids in understanding microbial roles in ecosystems.

Purpose of the Study:

• To apply phylogenetic eigenvector mapping for predicting functional genes in AOA.
• To assess the accuracy of phylogenetic-based predictions for gene distribution.
• To investigate AOA community functions in soil environments based on predicted gene presence.

Main Methods:

• Phylogenetic eigenvector mapping applied to 160 AOA genomes and MAGs.
• Prediction of 18 ecologically relevant genes across an updated amoA gene phylogeny.
• Validation of predictive models using soil AOA community sequencing data.

Main Results:

• All tested genes showed significant phylogenetic signal.
• Gene presence was predicted with high accuracy (>88%), sensitivity (>85%), and specificity (>80%).
• Phylogenetic eigenvector mapping performed comparably to ancestral state reconstruction.
• Predictions revealed ureolytic metabolism in nitrogen-rich soils and high-affinity ammonia transporter (amt2) in low-pH soils.

Conclusions:

• Phylogenetic eigenvector mapping is a robust method for predicting microbial gene presence and function.
• This predictive capability advances functional microbial ecology from descriptive to mechanistic understanding.
• The study provides insights into AOA adaptation and function in different soil conditions.