IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v573y2019i7773d10.1038_s41586-019-1513-8.html
   My bibliography  Save this article

A 3.8-million-year-old hominin cranium from Woranso-Mille, Ethiopia

Author

Listed:
  • Yohannes Haile-Selassie

    (Cleveland Museum of Natural History)

  • Stephanie M. Melillo

    (Max Planck Institute for Evolutionary Anthropology)

  • Antonino Vazzana

    (University of Bologna)

  • Stefano Benazzi

    (University of Bologna)

  • Timothy M. Ryan

    (Pennsylvania State University)

Abstract

The cranial morphology of the earliest known hominins in the genus Australopithecus remains unclear. The oldest species in this genus (Australopithecus anamensis, specimens of which have been dated to 4.2–3.9 million years ago) is known primarily from jaws and teeth, whereas younger species (dated to 3.5–2.0 million years ago) are typically represented by multiple skulls. Here we describe a nearly complete hominin cranium from Woranso-Mille (Ethiopia) that we date to 3.8 million years ago. We assign this cranium to A. anamensis on the basis of the taxonomically and phylogenetically informative morphology of the canine, maxilla and temporal bone. This specimen thus provides the first glimpse of the entire craniofacial morphology of the earliest known members of the genus Australopithecus. We further demonstrate that A. anamensis and Australopithecus afarensis differ more than previously recognized and that these two species overlapped for at least 100,000 years—contradicting the widely accepted hypothesis of anagenesis.

Suggested Citation

  • Yohannes Haile-Selassie & Stephanie M. Melillo & Antonino Vazzana & Stefano Benazzi & Timothy M. Ryan, 2019. "A 3.8-million-year-old hominin cranium from Woranso-Mille, Ethiopia," Nature, Nature, vol. 573(7773), pages 214-219, September.
  • Handle: RePEc:nat:nature:v:573:y:2019:i:7773:d:10.1038_s41586-019-1513-8
    DOI: 10.1038/s41586-019-1513-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-019-1513-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-019-1513-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:573:y:2019:i:7773:d:10.1038_s41586-019-1513-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.