Efrat Gavish‐Regev

The paper uses machine learning to assess microendemicity and conservation risk in cave-dwelling spiders by analyzing genetic data and generating conservation metrics.

The paper describes the discovery of a new species of Paleoamblypygi and uses it to generate the first molecular phylogeny of whip spiders, showing the importance of relict taxa in divergence time estimation.

The paper investigates the genetic basis of eye development and reduction in arachnids, identifying duplicated RDGN homologs and showing that soA is necessary for eye development across arachnid species.