Hybridization between recently diverged species, even if infrequent, can lead to the introgression of genes from one species into another. The rates of mitochondrial and nuclear introgression often differ, with some taxa showing biases for mitochondrial introgression and others for nuclear introgression. Several hypotheses exist to explain such biases, including adaptive introgression, sex differences in dispersal rates, sex-specific prezygotic isolation and sex-specific fitness of hybrids (e.g. Haldane's rule). We derive a simple population genetic model that permits an analysis of sex-specific demographic and fitness parameters and measures the relative rates of mitochondrial and nuclear introgression between hybridizing pairs. We do this separately for diploid and haplodiploid species. For diploid taxa, we recover results consistent with previous hypotheses: an excess of one sex among the hybridizing migrants or sex-specific prezygotic isolation causes a bias for one type of marker or the other; when Haldane's rule is obeyed, we find a mitochondrial bias in XY systems and a nuclear bias in ZW systems. For haplodiploid taxa, the model reveals that owing to their unique transmission genetics, they are seemingly assured of strong mitochondrial biases in introgression rates, unlike diploid taxa, where the relative fitness of male and female hybrids can tip the bias in either direction. This heretofore overlooked aspect of hybridization in haplodiploids provides what is perhaps the most likely explanation for differential introgression of mitochondrial and nuclear markers and raises concerns about the use of mitochondrial DNA barcodes for species delimitation in these taxa.

Sexual antagonism and meiotic drive are sex-specific evolutionary forces with the potential to shape genomic architecture. Previous theory has found that pairing two sexually antagonistic loci or combining sexual antagonism with meiotic drive at linked autosomal loci augments genetic variation, produces stable linkage disequilibrium (LD) and favours reduced recombination. However, the influence of these two forces has not been examined on the X chromosome, which is thought to be enriched for sexual antagonism and meiotic drive. We investigate the evolution of the X chromosome under both sexual antagonism and meiotic drive with two models: in one, both loci experience sexual antagonism; in the other, we pair a meiotic drive locus with a sexually antagonistic locus. We find that LD arises between the two loci in both models, even when the two loci freely recombine in females and that driving haplotypes will be enriched for male-beneficial alleles, further skewing sex ratios in these populations. We introduce a new measure of LD, Dz', which accounts for population allele frequencies and is appropriate for instances where these are sex specific. Both models demonstrate that natural selection favours modifiers that reduce the recombination rate. These results inform observed patterns of congealment found on driving X chromosomes and have implications for patterns of natural variation and the evolution of recombination rates on the X chromosome.

Recently published single-cell sequencing data from individual human sperm (n = 41,189; 969-3,377 cells from each of 25 donors) offer an opportunity to investigate questions of inheritance with improved statistical power, but require new methods tailored to these extremely low-coverage data (∼0.01 x per cell). To this end, we developed a method, named rhapsodi, that leverages sparse gamete genotype data to phase the diploid genomes of the donor individuals, impute missing gamete genotypes, and discover meiotic recombination breakpoints, benchmarking its performance across a wide range of study designs. Mendel's Law of Segregation states that the offspring of a diploid, heterozygous parent will inherit either allele with equal probability. While the vast majority of loci adhere to this rule, research in model and non-model organisms has uncovered numerous exceptions whereby 'selfish' alleles are disproportionately transmitted to the next generation. Evidence of such 'transmission distortion' (TD) in humans remains equivocal in part because scans of human pedigrees have been under-powered to detect small effects. After applying rhapsodi to the sperm sequencing data, we therefore scanned the gametes for evidence of TD. Our results exhibited close concordance with binomial expectations under balanced transmission. Together, our work demonstrates that rhapsodi can facilitate novel uses of inferred genotype data and meiotic recombination events, while offering a powerful quantitative framework for testing for TD in other cohorts and study systems.

Mendel’s Law of Segregation states that the offspring of a diploid, heterozygous parent will inherit either allele with equal probability. While the vast majority of loci adhere to this rule, research in model and non-model organisms has uncovered numerous exceptions whereby “selfish” alleles are disproportionately transmitted to the next generation. Evidence of such “transmission distortion” (TD) in humans remains equivocal in part because scans of human pedigrees have been under-powered to detect small effects. Recently published single-cell sequencing data from individual human sperm (n = 41,189; 969-3,377 cells from each of 25 donors) offer an opportunity to revisit this question with unprecedented statistical power, but require new methods tailored to extremely low-coverage data (~0.01× per cell). To this end, we developed a method, named rhapsodi, that leverages sparse gamete genotype data to phase the diploid genomes of the donor individuals, impute missing gamete genotypes, and discover meiotic recombination breakpoints, benchmarking its performance across a wide range of study designs. After applying rhapsodi to the sperm sequencing data, we then scanned the gametes for evidence of TD. Our results exhibited close concordance with binomial expectations under balanced transmission, in contrast to tenuous signals of TD that were previously reported in pedigree-based studies. Together, our work excludes the existence of even weak TD in this sample, while offering a powerful quantitative framework for testing this and related hypotheses in other cohorts and study systems.

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A robust private sector in space can be instrumental in achieving major space policy goals, such as those promoted by the U.S. Government: fostering private space markets and reducing the cost and time required for the government to develop and procure space systems. Meeting these goals will likely require increased government attention to the challenges facing the private sector, as well as potential implementation of new or underutilized regulatory, policy, and economic mechanisms. This article focuses on a government strategic investment fund as a potential economic mechanism, which would make equity investments in companies pursuing activities of interest to the government, and offers examples of past and current funds both in the United States and internationally. This article then assesses the utility of such a fund in addressing the challenges with meeting these 2 policy goals; these challenges were identified through a literature review and interviews with >60 space experts, economists, and other stakeholders. We identified 5 major challenges to fostering the growth of private space markets and 4 challenges to reducing government costs and accelerating the development and procurement of space systems. Our analysis concludes that although a government strategic investment fund may be useful in select scenarios, it will not most effectively address the current challenges.