Extensive novel diversity and phenotypic associations in the dromedary camel microbiome are revealed through deep metagenomics and machine learning.

This is especially apparent with the prediction of dietary wheat, which produced a non-significant association with beta diversity using log-euclidean distances (PERMANOVA p = 0.13) and a weakly significant association using Bray-Curtis (p = 0.032), yet a 0.9 AUC value by random forest prediction using genera relative abundance.

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