Comparing signals of natural selection between three Indigenous North American populations.

While many studies have highlighted human adaptations to diverse environments worldwide, genomic studies of natural selection in Indigenous populations in the Americas have been absent from this literature until very recently. Since humans first entered the Americas some 20,000 years ago, they have settled in many new environments across the continent. This diversity of environments has placed variable selective pressures on the populations living in each region, but the effects of these pressures have not been extensively studied to date. To help fill this gap, we collected genome-wide data from three Indigenous North American populations from different geographic regions of the continent (Alaska, southeastern United States, and central Mexico). We identified signals of natural selection in each population and compared signals across populations to explore the differences in selective pressures among the three regions sampled. We find evidence of adaptation to cold and high-latitude environments in Alaska, while in the southeastern United States and central Mexico, pathogenic environments seem to have created important selective pressures. This study lays the foundation for additional functional and phenotypic work on possible adaptations to varied environments during the history of population diversification in the Americas.

Bayesian analyses of Yemeni mitochondrial genomes suggest multiple migration events with Africa and Western Eurasia.

OBJECTIVES: Anatomically, modern humans are thought to have migrated out of Africa ∼60,000 years ago in the first successful global dispersal. This initial migration may have passed through Yemen, a region that has experienced multiple migrations events with Africa and Eurasia throughout human history. We use Bayesian phylogenetics to determine how ancient and recent migrations have shaped Yemeni mitogenomic variation. MATERIALS AND METHODS: We sequenced 113 mitogenomes from multiple Yemeni regions with a focus on haplogroups M, N, and L3(xM,N) as these groups have the oldest evolutionary history outside of Africa. We performed Bayesian evolutionary analyses to generate time-measured phylogenies calibrated by Neanderthal and Denisovan mitogenomes in order to determine the age of Yemeni-specific clades. RESULTS: As defined by Yemeni monophyly, Yemeni in situ evolution is limited to the Holocene or latest Pleistocene (ages of clades in subhaplogroups L3b1a1a, L3h2, L3x1, M1a1f, M1a5, N1a1a3, and N1a3 range from 2 to 14 kya) and is often situated within broader Horn of Africa/southern Arabia in situ evolution (L3h2, L3x1, M1a1f, M1a5, and N1a1a3 ages range from 7 to 29 kya). Five subhaplogroups show no monophyly and are candidates for Holocene migration into Yemen (L0a2a2a, L3d1a1a, L3i2, M1a1b, and N1b1a). DISCUSSION: Yemeni mitogenomes are largely the product of Holocene migration, and subsequent in situ evolution, from Africa and western Eurasia. However, we hypothesize that recent population movements may obscure the genetic signature of more ancient migrations. Additional research, e.g., analyses of Yemeni nuclear genetic data, is needed to better reconstruct the complex population and migration histories associated with Out of Africa.

Interaction of Alu Polymorphisms and Novel Measures of Discrimination in Association with Blood Pressure in African Americans Living in Tallahassee, Florida.

African Americans are 40% more likely to be afflicted with hypertension than are non-Hispanic, white Americans, resulting in a 30% higher instance of mortality due to cardiovascular disease. There is debate about the relative contributions of genetic and sociocultural risk factors to the racial disparity in hypertension. We assayed three Alu insertion polymorphisms located in the ACE (angiotensin 1 converting enzyme), PLAT (plasminogen activator, tissue), and WNK1 (lysine deficient protein kinase 1) genes. We also estimated West African genetic ancestry and developed novel measures of perceived discrimination to create a biocultural model of blood pressure among African American adults in Tallahassee, Florida (n = 158). When tested separately, the ACE Alu noninsertion allele was significantly associated with higher systolic and diastolic blood pressure. In multiple regression analyses, West African genetic ancestry was not associated with blood pressure and reduced the strength of all blood pressure models tested. A gene × environment interaction was identified between the ACE Alu genotype and a new measure of unfair treatment that includes experiences by individuals close to the study participant. Inclusion of the WNK1 Alu genotype further improved this model of blood pressure variation. Our results suggest an association of the ACE and WNK1 genotypes with blood pressure that is consistent with their proposed gene functions. Measures of perceived unfair treatment of others show a threshold effect, with increased blood pressure occurring at higher values. The interaction between the ACE genotype and unfair treatment highlights the benefits of including both genetic and cultural data to investigate complex disease.

Human migration patterns in Yemen and implications for reconstructing prehistoric population movements.

Population migration has played an important role in human evolutionary history and in the patterning of human genetic variation. A deeper and empirically-based understanding of human migration dynamics is needed in order to interpret genetic and archaeological evidence and to accurately reconstruct the prehistoric processes that comprise human evolutionary history. Current empirical estimates of migration include either short time frames (i.e. within one generation) or partial knowledge about migration, such as proportion of migrants or distance of migration. An analysis of migration that includes both proportion of migrants and distance, and direction over multiple generations would better inform prehistoric reconstructions. To evaluate human migration, we use GPS coordinates from the place of residence of the Yemeni individuals sampled in our study, their birthplaces and their parents' and grandparents' birthplaces to calculate the proportion of migrants, as well as the distance and direction of migration events between each generation. We test for differences in these values between the generations and identify factors that influence the probability of migration. Our results show that the proportion and distance of migration between females and males is similar within generations. In contrast, the proportion and distance of migration is significantly lower in the grandparents' generation, most likely reflecting the decreasing effect of technology. Based on our results, we calculate the proportion of migration events (0.102) and mean and median distances of migration (96 km and 26 km) for the grandparent's generation to represent early times in human evolution. These estimates can serve to set parameter values of demographic models in model-based methods of prehistoric reconstruction, such as approximate Bayesian computation. Our study provides the first empirically-based estimates of human migration over multiple generations in a developing country and these estimates are intended to enable more precise reconstruction of the demographic processes that characterized human evolution.

Human demographic processes and genetic variation as revealed by mtDNA simulations.

Humans' ability for rapid dispersal and adaptation has allowed us to colonize diverse geographic and climatic regions of the planet, creating a complex evolutionary history. This complexity can be understood, at least partially, by modeling the underlying demographic parameters in the evolutionary process. In this study, we analyze a model of human evolution in which population size, gene flow (GF), and time are varied. Specifically, we simulate mitochondrial DNA for 42 demographic scenarios, represented by 42 parameter combinations, to describe the initial dispersal of modern humans out of Africa. The analyses include three values for colonization size (CS; 1%, 10%, and 30% of the African population), seven values for rate of GF (10(-6)-0.5), and two values for time of colonization (50,000 and 100,000 years ago). We then estimate summary statistics for the simulated data sets to calculate the percent of explained variation by each parameter and to identify which parameter combinations generate distinct differences in genetic variation, that is, which demographic scenarios can be distinguished from each other. On the basis of these results, we make recommendations about which summary statistics to use according to the parameter of interest. Our results show that CS, GF, and their interaction have the largest effect on genetic variation under our model of human evolution. Comparison with empirical data suggests that 1% of the existing African mitochondrial genetic variation left and colonized the rest of the world (i.e., CS = 1%) and bidirectional GF continued at a level of ∼10 individuals per generation (i.e., GF = 10(-3)) after the initial colonization. Our study serves as a model to bridge the gap between the use of simulations for theoretical population genetics and empirical data analysis such as approximate bayesian computation approaches and is, thus, applicable to the study of molecular evolution in any organism.

Isolation and characterization of novel microsatellites from the critically endangered hawksbill sea turtle (Eretmochelys imbricata).

We isolated and characterized 12 microsatellite loci from the hawksbill sea turtle (Eretmochelys imbricata). The loci exhibited a variable number of alleles that ranged from three to 14 with an average observed heterozygosity of 0.70 (SD 0.18) across 40 hawksbill turtles from the Caribbean. The polymorphism exhibited individually and in combination makes them suitable for fine-scale genetic studies. In particular, the low probability of identity and high paternity exclusion of these markers makes them highly useful for parentage and relatedness studies. These new markers greatly increase the power of genetic studies directed towards the conservation of this endangered species.