Elsevier

Gene

Volume 227, Issue 2, 18 February 1999, Pages 213-222
Gene

Evolution of GABAA receptor diversity in the human genome

https://doi.org/10.1016/S0378-1119(98)00594-0Get rights and content

Abstract

Nowhere is the record of receptor evolution more accessible than in the organization of the 19 vertebrate genes coding for subunits of the major inhibitory neurotransmitter receptor in the central nervous system, the γ-aminobutyric acid receptor (GABAAR). Co-expression of α, β, and γ subunit genes is necessary for the formation of a GABAAR that is potentiated by widely used anxiolytics, anticonvulsants, and hypnotics. The identification of α, β, and γ genes on chromosomes 4, 5, and 15 suggests that co-localization of a γ gene with an α and β may be important for brain function. We have now directly examined the organization of GABAAR subunit genes on human chromosomes. Estimates of physical distance using in situ hybridization to cells in interphase, and gene localization using hybridization to cells in metaphase demonstrate the existence of βααγ gene clusters in cytogenetic bands on chromosomes 4(p12) and 5(q34). Sequencing of PAC clones establishes intercluster conservation of a unique head-to-head configuration for α and β genes on chromosomes 4, 5, and 15. Remarkably, phylogenetic tree analysis predicts the existence of a βαγ ancestral gene cluster in which internal duplication of an ancestral α was followed by cluster duplication, resulting in the relative chromosomal positions of modern GABAAR subunit genes in the human genome.

Introduction

Neurotransmitter receptors convert chemical into electrical signals at the postsynaptic membranes of classical synapses. The discovery that ligand-gated ion channels, the most prevalent form of neurotransmitter receptor, are assembled from a multiplicity of homologous subunits encoded by independent genes has raised a major question as to the evolution of the nervous system: How did such an extensive diversity of receptor subunits evolve? With at least 19 different vertebrate genes coding for receptor subunits (for review see Rabow et al., 1995; Levin et al., 1996; Wilke et al., 1997), the pentameric (Nayeem et al., 1994) γ-aminobutyric acid receptor (GABAAR) is an exquisite example of how gene duplication can provide the foundation for the expression of related receptor subunits, each with its own unique developmental and tissue-specific distribution (Laurie et al., 1992; Wisden et al., 1992).

Our previous localization of the β2 subunit gene to 5q34-35 that identified a putative αβγ gene cluster for the major isoform of the GABAAR when taken together with conservation of intron position in the β1, β2, β3, and β4 genes led us to propose that the majority of GABAA receptor subunit genes arose from the duplication and subsequent translocation of an ancestral gene cluster (Russek and Farb, 1994). Additional putative αβγ clusters have been identified on chromosomes 4 (Buckle et al., 1989; Wilcox et al., 1992; McLean et al., 1995) and 15 (Knoll et al., 1993; Sinnet et al., 1993). A new subunit gene class termed ε (Davies et al., 1997; Wilke et al., 1997) has been mapped to a region on the X chromosome that contains the α3 gene and a putative β4-like subunit gene (Levin et al., 1996), suggesting that there are at least four related clusters in the human genome. Moreover, the fact that there are two alpha genes, one beta, and one gamma on chromosomes 4 (McLean et al., 1995) and 5 (Johnson et al., 1992; Hicks et al., 1994) indicates that simple gene duplication cannot account for the expansion in GABAAR gene number.

We have now directly examined the cluster organization of GABAAR subunit genes by fluorescence in situ hybridization (FISH) interphase mapping using PAC clones that contain fragments of GABAAR subunit genes. Conservation of gene order, intergenic distance, and unique head-to-head configuration for the transcriptional units of α and β genes on chromosomes 4, 5, and 15 demonstrate the occurrence of cluster duplication and translocation. Results of phylogenetic tree analysis also predict duplication of an ancestral cluster in which internal duplication of an alpha gene expanded the diversity of the α subunit GABAA receptor gene family.

Section snippets

Phylogenetic tree analysis

A rooted tree analysis was performed using the Computational Biochemistry Server Group (CBRG) at ETHZ (http://cbrg.inf.ethz.ch/). An all-against-all matching analysis (AllAll) was performed to generate PAM distances and variances using rat cDNA sequences specific to GABAAR subunit genes.

Amplification of DNA fragments specific to GABAAR subunit genes on chromosomes 4 and 5

The following PCR primers were used to amplify fragments of the 5′-ends of α1, α2, α4, α6, β1, and β2 subunit genes from human genomic DNA: α1, 5′-AGT GCT CTC CCC ACA CGT GTA ACC-3′ and 5′-GCT GAA GAT TTC ACA

Results

In order to address the possibility that GABAA receptor genes are organized in αβγ clusters on at least three different chromosomes, a rooted phylogenetic tree analysis (Gaston and Gonnet, 1994) was performed to identify the possible relationship between GABAAR subunit homology and GABAAR gene organization (Fig. 1). Because sequences for all of the rat α, β, and γ GABAA receptor subunits are available for analysis and because rodent amino acid sequences on average share greater than 95%

Discussion

Although the majority of genes coding for multi-subunit receptor families lie scattered in the genome, evolution has preserved the organization of the GABAAR subunit genes, challenging us to understand the forces behind cluster preservation and expansion. Conservation of gene order and orientation on three human chromosomes reported here, taken together with the conservation of intron position in the β genes (Russek and Farb, 1994), demonstrates that the diversity of GABAA receptor subunit

Unlinked References

Bell et al., 1989Bell et al., 1989 not in text. Please cite.Kostrzewa et al., 1996Kostrzewa et al., 1996 not in text. Please cite.

Acknowledgements

I would like to thank Dr David Farb for his invaluable comments and support that has led to the completion of this work. I would also like to thank Mark Balentine at Saint Jude's Children's Research Hospital for sharing his technical expertise, Dr Chantal Korostensky at ETHZ for her guidance in phylogenetic tree analysis, and Mr Joshua Farb for his excellent graphical assistance. This work was supported by a grant from NICHD 5PO1 HD22539-09 and the HR Foundation.

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