Skip to main content

Free Content Schindleria: A Paedomorphic Goby (Teleostei: Aobioidei)

Download Article:
(PDF 3,198.6 kb)


The evolutionary affinities of the tiny, putatively paedomorphic marine fishes of the genus Schindleria have remained obscure since 1932, when the two currently recognized species were described as larval hemiramphids. Most subsequent classifications relegated schindleriids to a separate suborder within the Perciformes, usually placing them near the blennioids or ammodytoids. We present evidence from otolith microstructure, egg surface morphology, male reproductive tract and, in particular, various aspects of the osteology, that we believe demonstrates unequivocally that Schindleria is a member of the suborder Gobioidei. Many of the osteological differences between Schindleria and other gobioids are the result of developmental truncations in the former. Schindleria represents the most extreme example of progenetic developmental truncation known among fishes.

Document Type: Research Article

Publication date: January 1, 1993

More about this publication?
  • The Bulletin of Marine Science is dedicated to the dissemination of high quality research from the world's oceans. All aspects of marine science are treated by the Bulletin of Marine Science, including papers in marine biology, biological oceanography, fisheries, marine affairs, applied marine physics, marine geology and geophysics, marine and atmospheric chemistry, and meteorology and physical oceanography.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • ingentaconnect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more
Real Time Web Analytics