This report of independent genome sequences of two natural populations of Drosophila melanogaster (37 from North America and 6 from Africa) provides unique insight into forces shaping genomic polymorphism and divergence. Evidence of interactions between natural selection and genetic linkage is abundant not only in centromere-and telomere-proximal regions, but also throughout the euchromatic arms. Linkage disequilibrium, which decays within 1 kbp, exhibits a strong bias toward coupling of the more frequent alleles and provides a high-resolution map of recombination rate. The juxtaposition of population genetics statistics in small genomic windows with gene structures and chromatin states yields a rich, high-resolution annotation, including the following: (1) 59-and 39-UTRs are enriched for regions of reduced polymorphism relative to lineage-specific divergence; (2) exons overlap with windows of excess relative polymorphism; (3) epigenetic marks associated with active transcription initiation sites overlap with regions of reduced relative polymorphism and relatively reduced estimates of the rate of recombination; (4) the rate of adaptive nonsynonymous fixation increases with the rate of crossing over per base pair; and (5) both duplications and deletions are enriched near origins of replication and their density correlates negatively with the rate of crossing over. Available demographic models of X and autosome descent cannot account for the increased divergence on the X and loss of diversity associated with the out-of-Africa migration. Comparison of the variation among these genomes to variation among genomes from D. simulans suggests that many targets of directional selection are shared between these species. A CCESS to sequenced genomes from natural, outbreeding populations (Begun et al. 2007; Li and Durbin 2011) places our theoretical understanding of the forces that determine patterns of genomic variation within and between taxa in a new empirical light. Alignment of the predictions of classical evolutionary genetic models with richly annotated population genomic survey data is an exciting challenge. Descriptions of the patterns of variation in these first sets of population genomic data can foster efficient sieving of hypotheses and serve as a foundation for the design of subsequent studies. Here we present the description of the genomic sequence assemblies from two collections of natural populations of Drosophila melanogaster. The polymorphism, divergence, and copy-number variation revealed in these data are presented at several scales that all support the hypothesis by Maynard Smith and Haigh (1974) The study of genetic variation in natural populations of D. melanogaster has played an important role in the development of evolutionary theory, largely because of the central role of the species in the advancement of knowledge of genetic inheritance. Our fundamental understanding of the biology of D. melanogaster, as well as the advanced methods and unique resources available for its study, has fuel...
Determining the extent of adaptive evolution at the genomic level is central to our understanding of molecular evolution. A suitable observation for this purpose would consist of polymorphic data on a large and unbiased collection of genes from two closely related species, each having a large and stable population. In this study, we sequenced 419 genes from 24 lines of Drosophila melanogaster and its close relatives. Together with data from Drosophila simulans, these data reveal the following. (i) Approximately 10% of the loci in regions of normal recombination are much less polymorphic at silent sites than expected, hinting at the action of selective sweeps.(ii) The level of polymorphism is negatively correlated with the rate of nonsynonymous divergence across loci. Thus, even under strict neutrality, the ratio of amino acid to silent nucleotide changes (A:S) between Drosophila species is expected to be 25-40% higher than the A:S ratio for polymorphism when data are pooled across the genome. (iii) The observed A/S ratio between species among the 419 loci is 28.9% higher than the (adjusted) neutral expectation. We estimate that nearly 30% of the amino acid substitutions between D. melanogaster and its close relatives were adaptive. (iv) This signature of adaptive evolution is observable only in regions of normal recombination. Hence, the low level of polymorphism observed in regions of reduced recombination may not be driven primarily by positive selection. Finally, we discuss the theories and data pertaining to the interpretation of adaptive evolution in genomic studies.McDonald-Kreitman test ͉ selection ͉ polymorphism R ecent studies based on DNA sequence data from large numbers of genes have increasingly suggested the prevalence of adaptive evolution in coding (1-5) as well as noncoding (6, 7) regions. The extent to which positive selection influences DNA polymorphism and divergence appears to be incompatible with the Neutral Theory of Molecular Evolution (8). This theory posits that the overall pattern of DNA evolution can be accounted for by mutation, genetic drift, and negative selection. It does not deny the operation of positive selection on some loci but only asserts that the overall pattern of genomic evolution can be explained without invoking adaptive evolution. Presumably, adaptive changes at any given time involve too small a fraction of the genome to be a statistically significant factor, despite their overwhelming biological significance.The evidence used to test the Neutral Theory can be classified as divergence among species (9-11), polymorphism within species (12-14) or a combination of these (15, 16). The combined approach, as exemplified by the McDonald-Kreitman (MK) test and its derivatives, can separate the effects of negative and positive selection and is especially informative about adaptive evolution. Many such studies have concluded that positive selection may play a significant role in driving amino acid substitutions in the human and Drosophila melanogaster lineages (1-5).However, as...
MAPkinase signalling is essential for cell growth, differentiation and cell physiology. G proteins and tyrosine kinase receptors each modulate MAPkinase signalling through distinct pathways. We report here that RGS14 is an integrator of G protein and MAPKinase signalling pathways. RGS14 contains a GPR/GoLoco (GL) domain that forms a stable complex with inactive Giα1/3-GDP, and a tandem (R1, R2) Ras binding domain (RBD). We find that RGS14 binds and regulates the subcellular localization and activities of H-Ras and Raf kinases in cells. Activated H-Ras binds RGS14 at the R1 RBD to form a stable complex at cell membranes. RGS14 also co-localizes with and forms a complex with Raf kinases in cells. The regulatory region of Raf-1 binds the RBD region of RGS14, and H-Ras and Raf each facilitate one another's binding to RGS14. RGS14 selectively inhibits PDGF-, but not EGF-or serum-stimulated Erk phosphorylation. This inhibition is dependent on HRas binding to RGS14 and is reversed by co-expression of Giα1, which binds and recruits RGS14 to the plasma membrane. Giα1 binding to RGS14 inhibits Raf binding, indicating that Giα1 and Raf binding to RGS14 are mutually exclusive. Taken together, these findings indicate that RGS14 is a newly appreciated integrator of G protein and Ras/Raf signalling pathways.
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