Format

Send to

Choose Destination
Bioessays. 2016 Jun;38(6):526-38. doi: 10.1002/bies.201600010. Epub 2016 Mar 29.

The vertebrate Hox gene regulatory network for hindbrain segmentation: Evolution and diversification: Coupling of a Hox gene regulatory network to hindbrain segmentation is an ancient trait originating at the base of vertebrates.

Author information

1
Stowers Institute for Medical Research, Kansas City, MO, USA.
2
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
3
Department of Anatomy and Cell Biology, Kansas University Medical Center, Kansas City, KS, USA.

Abstract

Hindbrain development is orchestrated by a vertebrate gene regulatory network that generates segmental patterning along the anterior-posterior axis via Hox genes. Here, we review analyses of vertebrate and invertebrate chordate models that inform upon the evolutionary origin and diversification of this network. Evidence from the sea lamprey reveals that the hindbrain regulatory network generates rhombomeric compartments with segmental Hox expression and an underlying Hox code. We infer that this basal feature was present in ancestral vertebrates and, as an evolutionarily constrained developmental state, is fundamentally important for patterning of the vertebrate hindbrain across diverse lineages. Despite the common ground plan, vertebrates exhibit neuroanatomical diversity in lineage-specific patterns, with different vertebrates revealing variations of Hox expression in the hindbrain that could underlie this diversification. Invertebrate chordates lack hindbrain segmentation but exhibit some conserved aspects of this network, with retinoic acid signaling playing a role in establishing nested domains of Hox expression.

KEYWORDS:

Hox genes; chordates; gene regulatory networks; hindbrain; rhombomeres; segmentation; vertebrate evolution

PMID:
27027928
DOI:
10.1002/bies.201600010
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Wiley
Loading ...
Support Center