Paper led by collaborator Ben Lambert was just published in PNAS. Lambert uses machine-learning techniques to predict trophic status in marine protist lineages using their transcriptional profiles. Lambert then examines metatranscriptome data from the field to predict changing trophic status in protist groups in the ocean, with mixotrophs implicated to play important functional roles along physicochemical gradients in the ocean. Check it out here.
Figure from Lambert et al., showing selection of features used in separating phototrophic, heterotrophic, and mixotrophic transcriptomes.