
pmid: 26411616
Understanding the birth and diversification of multigene families is a fundamental evolutionary problem. I argue for the insect chemoreceptor superfamily as an outstanding model. Although these receptors are currently the preserve of neuroscientists, putative homologous genes exist in diverse animal and plant genomes, implying an ancient origin. Moreover, functional studies suggest that they act as ligand-gated ion channels in both chemosensory and non-chemosensory processes. This family permits synergism of investigations into its structural and regulatory evolution with ecological studies of the selective pressures driving these changes. In addition, sequence divergence in these receptors can be exploited through co-evolutionary and comparative genomics analyses to help to elucidate their 3D structure and signaling mechanisms, and to reveal experimentally-accessible candidate loci to explore the genetic basis of adaptation.
Evolution, Molecular, Insecta, Multigene Family, Animals, Receptors, Cell Surface, Ligands, Receptors, Odorant, Adaptation, Physiological, Ion Channel Gating, Phylogeny
Evolution, Molecular, Insecta, Multigene Family, Animals, Receptors, Cell Surface, Ligands, Receptors, Odorant, Adaptation, Physiological, Ion Channel Gating, Phylogeny
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 129 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
