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Curr Biol. 2013 Dec 16;23(24):2481-90. doi: 10.1016/j.cub.2013.10.053. Epub 2013 Nov 21.

Combinatorial rules of precursor specification underlying olfactory neuron diversity.

Author information

1
Department of Biology, Duke University, Durham, NC 27708, USA.
2
Department of Pharmacology and Center for Basic Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
3
The Pratt School of Engineering, Duke University, Durham, NC 27708, USA.
4
School of Biomedical Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.
5
Department of Biology, Duke University, Durham, NC 27708, USA; Duke Institute for Brain Sciences, Durham, NC 27708, USA. Electronic address: pc72@duke.edu.

Abstract

BACKGROUND:

Sensory neuron diversity ensures optimal detection of the external world and is a hallmark of sensory systems. An extreme example is the olfactory system, as individual olfactory receptor neurons (ORNs) adopt unique sensory identities by typically expressing a single receptor gene from a large genomic repertoire. In Drosophila, about 50 different ORN classes are generated from a field of precursor cells, giving rise to spatially restricted and distinct clusters of ORNs on the olfactory appendages. Developmental strategies spawning ORN diversity from an initially homogeneous population of precursors are largely unknown.

RESULTS:

Here we unravel the nested and binary logic of the combinatorial code that patterns the decision landscape of precursor states underlying ORN diversity in the Drosophila olfactory system. The transcription factor Rotund (Rn) is a critical component of this code that is expressed in a subset of ORN precursors. Addition of Rn to preexisting transcription factors that assign zonal identities to precursors on the antenna subdivides each zone and almost exponentially increases ORN diversity by branching off novel precursor fates from default ones within each zone. In rn mutants, rn-positive ORN classes are converted to rn-negative ones in a zone-specific manner.

CONCLUSIONS:

We provide a model describing how nested and binary changes in combinations of transcription factors could coordinate and pattern a large number of distinct precursor identities within a population to modulate the level of ORN diversity during development and evolution.

PMID:
24268416
PMCID:
PMC4459592
DOI:
10.1016/j.cub.2013.10.053
[Indexed for MEDLINE]
Free PMC Article
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