A hominid-specific shift in cerebellar expression, upstream retrotransposons, and a potential cis-regulatory mechanism: bioinformatics analyses of the mu-opioid receptor gene.

The mu-opioid receptors (MOR, OPRM1) mediate the effects of beta-endorphin and modulate many biological functions including reward processing and addiction. The present study aimed to use bioinformatics to determine OPRM1 brain expression profiles in higher primates and to look for regulatory mechanisms. We used the same computational pipeline to analyze publicly available expression data from postmortem brain regions across humans, chimpanzees, and rhesus macaques. The most intriguing finding was high OPRM1 cerebellar expression in humans and chimpanzees and low expression in macaques. Together with previous reports of low cerebellar OPRM1 expression in mice, this suggests an evolutionary shift in the expression profiles. Bioinformatic analysis of the OPRM1 upstream region revealed a functional CTCF-binding region that evolved from tandem insertions of retrotransposons L1P1 and L1PA1 upstream (-60 kb) of OPRM1. The insertions arose in different time points after the split of small apes from great apes, and their combined sequence is unique. Furthermore, the derived G allele of SNP rs12191876, in the inserted region, is associated with an increased OPRM1 expression in the cerebellum of postmortem human brains (p = 4.7e-5). The derived G allele became the major allele (60-90%) in the populations represented in the 1000 Genomes Project and may be beneficial. This study provides a foundation for building new knowledge about evolutionary differences in OPRM1 brain expression. Further investigations are needed to elucidate the role of the inserted region and its SNPs in OPRM1 expression, and to assess the biological function and relevance of OPRM1 expression in the cerebellum.

With a little help from my friends: cooperation can accelerate the rate of adaptive valley crossing.

BACKGROUND: Natural selection favors changes that lead to genotypes possessing high fitness. A conflict arises when several mutations are required for adaptation, but each mutation is separately deleterious. The process of a population evolving from a genotype encoding for a local fitness maximum to a higher fitness genotype is termed an adaptive peak shift. RESULTS: Here we suggest cooperative behavior as a factor that can facilitate adaptive peak shifts. We model cooperation in a public goods scenario, wherein each individual contributes resources that are later equally redistributed among all cooperating individuals. We use mathematical modeling and stochastic simulations to study the effect of cooperation on peak shifts in both panmictic and structured populations. Our results show that cooperation can substantially affect the rate of complex adaptation. Furthermore, we show that cooperation increases the population diversity throughout the peak shift process, thus increasing the robustness of the population to sudden environmental changes. CONCLUSIONS: We provide a new explanation to adaptive valley crossing in natural populations and suggest that the long term evolution of a species depends on its social behavior.

Transient Duplication-Dependent Divergence and Horizontal Transfer Underlie the Evolutionary Dynamics of Bacterial Cell-Cell Signaling.

Evolutionary expansion of signaling pathway families often underlies the evolution of regulatory complexity. Expansion requires the acquisition of a novel homologous pathway and the diversification of pathway specificity. Acquisition can occur either vertically, by duplication, or through horizontal transfer, while divergence of specificity is thought to occur through a promiscuous protein intermediate. The way by which these mechanisms shape the evolution of rapidly diverging signaling families is unclear. Here, we examine this question using the highly diversified Rap-Phr cell-cell signaling system, which has undergone massive expansion in the genus Bacillus. To this end, genomic sequence analysis of >300 Bacilli genomes was combined with experimental analysis of the interaction of Rap receptors with Phr autoinducers and downstream targets. Rap-Phr expansion is shown to have occurred independently in multiple Bacillus lineages, with >80 different putative rap-phr alleles evolving in the Bacillius subtilis group alone. The specificity of many rap-phr alleles and the rapid gain and loss of Rap targets are experimentally demonstrated. Strikingly, both horizontal and vertical processes were shown to participate in this expansion, each with a distinct role. Horizontal gene transfer governs the acquisition of already diverged rap-phr alleles, while intralocus duplication and divergence of the phr gene create the promiscuous intermediate required for the divergence of Rap-Phr specificity. Our results suggest a novel role for transient gene duplication and divergence during evolutionary shifts in specificity.

Social Evolution Selects for Redundancy in Bacterial Quorum Sensing.

Quorum sensing is a process of chemical communication that bacteria use to monitor cell density and coordinate cooperative behaviors. Quorum sensing relies on extracellular signal molecules and cognate receptor pairs. While a single quorum-sensing system is sufficient to probe cell density, bacteria frequently use multiple quorum-sensing systems to regulate the same cooperative behaviors. The potential benefits of these redundant network structures are not clear. Here, we combine modeling and experimental analyses of the Bacillus subtilis and Vibrio harveyi quorum-sensing networks to show that accumulation of multiple quorum-sensing systems may be driven by a facultative cheating mechanism. We demonstrate that a strain that has acquired an additional quorum-sensing system can exploit its ancestor that possesses one fewer system, but nonetheless, resume full cooperation with its kin when it is fixed in the population. We identify the molecular network design criteria required for this advantage. Our results suggest that increased complexity in bacterial social signaling circuits can evolve without providing an adaptive advantage in a clonal population.

Facultative cheating supports the coexistence of diverse quorum-sensing alleles.

Bacterial quorum sensing enables bacteria to cooperate in a density-dependent manner via the group-wide secretion and detection of specific autoinducer molecules. Many bacterial species show high intraspecific diversity of autoinducer-receptor alleles, called pherotypes. The autoinducer produced by one pherotype activates its coencoded receptor, but not the receptor of another pherotype. It is unclear what selection forces drive the maintenance of pherotype diversity. Here, we use the ComQXPA system of Bacillus subtilis as a model system, to show that pherotype diversity can be maintained by facultative cheating--a minority pherotype exploits the majority, but resumes cooperation when its frequency increases. We find that the maintenance of multiple pherotypes by facultative cheating can persist under kin-selection conditions that select against "obligate cheaters" quorum-sensing response null mutants. Our results therefore support a role for facultative cheating and kin selection in the evolution of quorum-sensing diversity.