A Transitional Gundi (Rodentia: Ctenodactylidae) from the Miocene of Israel

PLoS One. 2016 Apr 6;11(4):e0151804. doi: 10.1371/journal.pone.0151804. eCollection 2016.

Abstract

We describe a new species of gundi (Rodentia: Ctenodactylidae: Ctenodactylinae), Sayimys negevensis, on the basis of cheek teeth from the Early Miocene of the Rotem Basin, southern Israel. The Rotem ctenodactylid differs from all known ctenodactylid species, including Sayimys intermedius, which was first described from the Middle Miocene of Saudi Arabia. Instead, it most resembles Sayimys baskini from the Early Miocene of Pakistan in characters of the m1-2 (e.g., the mesoflexid shorter than the metaflexid, the obliquely orientated hypolophid, and the presence of a strong posterolabial ledge) and the upper molars (e.g., the paraflexus that is longer than the metaflexus). However, morphological (e.g., presence of a well-developed paraflexus on unworn upper molars) and dimensional (regarding, in particular, the DP4 and M1 or M2) differences between the Rotem gundi and Sayimys baskini distinguish them and testify to the novelty and endemicity of the former. In its dental morphology, Sayimys negevensis sp. nov. shows a combination of both the ultimate apparition of key-characters and incipient features that would be maintained and strengthened in latter ctenodactylines. Thus, it is a pivotal species that bridges the gap between an array of primitive ctenodactylines and the most derived, Early Miocene and later, gundis.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biological Evolution*
  • Fossils
  • Israel
  • Molar / anatomy & histology*
  • Pakistan
  • Phylogeny
  • Rodentia / classification*
  • Saudi Arabia
  • Tooth / anatomy & histology*

Grants and funding

The sojourn in Berlin was funded by the Alexander von Humboldt Foundation through sponsorship of renewed research stay in Germany, whereas that in Paris was funded by the SYNTHESYS Project (http://www.synthesys.info/), which is financed by the European Community Research Infrastructure Action under the FP7 “Capacities” Program. RLA is supported by the European Union via a Marie Curie fellowship (PIEF-GA-2013-623352).