Related Experiment Video
Updated: May 27, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
Phylogenomics of the rarest animals: a second species of Micrognathozoa identified by machine learning
Shoyo Sato1, Cecilie Appeldorff1, Owen S Wangensteen2
1Marine Biological Section, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark.
Abstract:
The latest animal phylum to be discovered, Micrognathozoa, constitutes a rare group of limnic meiofauna. These microscopic 'jaw animals' are among the smallest metazoans yet possess highly complex jaw structures. The single species of Micrognathozoa, Limnognathia maerski Kristensen and Funch, 2000, was first described from Greenland, later reported from a remote Subantarctic island and more recently discovered in the Pyrenees on the European continent. Successful collections of these three known populations facilitated investigations of the intraphylum relationships and species limits within Limnognathia for the first time. Through detailed anatomical comparisons, we substantiate the lack of morphological differences between the three geographically disjunct populations. With transcriptomic data from single specimens, we conducted the first intraphylum phylogenetic analyses and extensively tested species hypotheses using standard approaches and novel machine learning methods. Analyses clearly delimited the Subantarctic population, here described as Limnognathia desmeti sp. nov., the second species of Micrognathozoa, but did not definitively split the Greenland and Pyrenees populations as separate species. Divergence dating analysis suggests the disjunct distribution of Micrognathozoa is not human mediated but the result of long-distance dispersal raising questions about their dispersal capabilities and potential undiscovered populations.
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
Conservation of Small Populations
Phylogenetic Trees
Phylogeny
What is a Species?
Speciation Rates

