Extraordinary sequence divergence at Tsga8, an X-linked gene involved in mouse spermiogenesis.

The X chromosome plays an important role in both adaptive evolution and speciation. We used a molecular evolutionary screen of X-linked genes potentially involved in reproductive isolation in mice to identify putative targets of recurrent positive selection. We then sequenced five very rapidly evolving genes within and between several closely related species of mice in the genus Mus. All five genes were involved in male reproduction and four of the genes showed evidence of recurrent positive selection. The most remarkable evolutionary patterns were found at Testis-specific gene a8 (Tsga8), a spermatogenesis-specific gene expressed during postmeiotic chromatin condensation and nuclear transformation. Tsga8 was characterized by extremely high levels of insertion-deletion variation of an alanine-rich repetitive motif in natural populations of Mus domesticus and M. musculus, differing in length from the reference mouse genome by up to 89 amino acids (27% of the total protein length). This population-level variation was coupled with striking divergence in protein sequence and length between closely related mouse species. Although no clear orthologs had previously been described for Tsga8 in other mammalian species, we have identified a highly divergent hypothetical gene on the rat X chromosome that shares clear orthology with the 5' and 3' ends of Tsga8. Further inspection of this ortholog verified that it is expressed in rat testis and shares remarkable similarity with mouse Tsga8 across several general features of the protein sequence despite no conservation of nucleotide sequence across over 60% of the rat-coding domain. Overall, Tsga8 appears to be one of the most rapidly evolving genes to have been described in rodents. We discuss the potential evolutionary causes and functional implications of this extraordinary divergence and the possible contribution of Tsga8 and the other four genes we examined to reproductive isolation in mice.

Linkage disequilibrium in wild mice.

Crosses between laboratory strains of mice provide a powerful way of detecting quantitative trait loci for complex traits related to human disease. Hundreds of these loci have been detected, but only a small number of the underlying causative genes have been identified. The main difficulty is the extensive linkage disequilibrium (LD) in intercross progeny and the slow process of fine-scale mapping by traditional methods. Recently, new approaches have been introduced, such as association studies with inbred lines and multigenerational crosses. These approaches are very useful for interval reduction, but generally do not provide single-gene resolution because of strong LD extending over one to several megabases. Here, we investigate the genetic structure of a natural population of mice in Arizona to determine its suitability for fine-scale LD mapping and association studies. There are three main findings: (1) Arizona mice have a high level of genetic variation, which includes a large fraction of the sequence variation present in classical strains of laboratory mice; (2) they show clear evidence of local inbreeding but appear to lack stable population structure across the study area; and (3) LD decays with distance at a rate similar to human populations, which is considerably more rapid than in laboratory populations of mice. Strong associations in Arizona mice are limited primarily to markers less than 100 kb apart, which provides the possibility of fine-scale association mapping at the level of one or a few genes. Although other considerations, such as sample size requirements and marker discovery, are serious issues in the implementation of association studies, the genetic variation and LD results indicate that wild mice could provide a useful tool for identifying genes that cause variation in complex traits.

Inferring the history of speciation in house mice from autosomal, X-linked, Y-linked and mitochondrial genes.

Patterns of genetic differentiation among taxa at early stages of divergence provide an opportunity to make inferences about the history of speciation. Here, we conduct a survey of DNA-sequence polymorphism and divergence at loci on the autosomes, X chromosome, Y chromosome and mitochondrial DNA in samples of Mus domesticus, M. musculus and M. castaneus. We analyzed our data under a divergence with gene flow model and estimate that the effective population size of M. castaneus is 200,000-400,000, of M. domesticus is 100,000-200,000 and of M. musculus is 60,000-120,000. These data also suggest that these species started to diverge approximately 500,000 years ago. Consistent with this recent divergence, we observed considerable variation in the genealogical patterns among loci. For some loci, all alleles within each species formed a monophyletic group, while at other loci, species were intermingled on the phylogeny of alleles. This intermingling probably reflects both incomplete lineage sorting and gene flow after divergence. Likelihood ratio tests rejected a strict allopatric model with no gene flow in comparisons between each pair of species. Gene flow was asymmetric: no gene flow was detected into M. domesticus, while significant gene flow was detected into both M. castaneus and M. musculus. Finally, most of the gene flow occurred at autosomal loci, resulting in a significantly higher ratio of fixed differences to polymorphisms at the X and Y chromosomes relative to autosomes in some comparisons, or just the X chromosome in others, emphasizing the important role of the sex chromosomes in general and the X chromosome in particular in speciation.

Linkage scan of alcohol dependence in the UCSF Family Alcoholism Study.

Ample data suggest that alcohol dependence represents a heritable condition, and several research groups have performed linkage analysis to identify genomic regions influencing this disorder. In the present study, a genome-wide linkage scan for alcohol dependence was conducted in a community sample of 565 probands and 1080 first-degree relatives recruited through the UCSF Family Alcoholism Study. The Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) was used to derive DSM-IV alcohol dependence diagnoses. Although no loci achieved genome-wide significance (i.e., LOD score > 3.0), several linkage peaks of interest (i.e., LOD score > 1.0) were identified. When the strict DSM-IV alcohol dependence diagnosis requiring the temporal clustering of symptoms served as the phenotype, linkage peaks were identified on chromosomes 1p36.31-p36.22, 2q37.3, 8q24.3, and 18p11.21-p11.2. When the temporal clustering of symptoms was not required, linkage peaks were again identified on chromosomes 1p36.31-p36.22 and 8q24.3 as well as novel loci on chromosomes 1p22.3, 2p24.3-p24.1, 9p24.1-p23, and 22q12.3-q13.1. Follow-up analyses were conducted by performing linkage analysis for the 12 alcohol dependence symptoms assessed by the SSAGA across the support intervals for the observed linkage peaks. These analyses demonstrated that different collections of symptoms often assessing distinct aspects of alcohol dependence (e.g., uncontrollable drinking and withdrawal vs. tolerance and drinking despite health problems) contributed to each linkage peak and often yielded LOD scores exceeding that reported for the alcohol dependence diagnosis. Such findings provide insight into how specific genomic regions may influence distinct aspects of alcohol dependence.