Phylogenomics of the rarest animals: a second species of Micrognathozoa identified by machine learning

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, <i>Limnognathia maerski</i> 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 <i>Limnognathia</i> 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 <i>Limnognathia desmeti</i> 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.

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Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2025-02-01
DOI
https://doi.org/10.1098/rspb.2024.2867
Citations
3
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
5.45

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article

Phylogenomics of the rarest animals: a second species of Micrognathozoa identified by machine learning

Christopher Laumer, Gonzalo Giribet, Katrine Worsaae, Owen Simon Wangensteen et al.
3 citations
Proceedings of the Royal Society B Biological Sciences
Genetic diversity and population structure
5.45
article

Phylogenomics of the rarest animals: a second species of Micrognathozoa identified by machine learning

Christopher Laumer, Gonzalo Giribet, Katrine Worsaae, Owen Simon Wangensteen, Sandra Garcés‐Pastor, María Herranz, David Renault, Shoyo Sato, Peter Rask Møller, Cecilie Appeldorff
article en
3 citations

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, <i>Limnognathia maerski</i> 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 <i>Limnognathia</i> 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 <i>Limnognathia desmeti</i> 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.

Proceedings of the Royal Society B Biological SciencesVol. 292(2041)
University of Copenhagen (DK), Centre National de la Recherche Scientifique (FR), Natural History Museum (GB), Harvard University (US), Universidad Rey Juan Carlos (ES), Institut Universitaire de France (FR), Ecosystèmes, Biodiversité, Evolution (FR), Natural History Museum Aarhus (DK), Institut de Biologia Evolutiva (ES), Institut de Ciències del Mar (ES), Deutsche Meeresmuseum (DE), Universitat de Barcelona (ES)
Villum Fonden, Carlsbergfondet, Generalitat de Catalunya, Institut Polaire Français Paul Emile Victor
Life below water
Openalex Percentile: Top 6%
Genetic diversity and population structure
5.45
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