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The models show that unacetolyzed Urticaceae pollen grains can be distinguished with  98% accuracy. We then apply our model on before unseen Urticaceae pollen collected from aerobiological samples and show that the genera can be confidently distinguished, despite the more challenging input images that are often overlain by debris. Our method can also be applied to other pollen families in the future and will thus help to make allergenic pollen monitoring more specific.Bile acid sodium symporter (BASS) family proteins encode a class o