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Human populations have experienced recent explosive growth, expanding by at least three orders of magnitude over the past 400 generations. This departure from equilibrium skews patterns of genetic variation and distorts basic principles of population genetics. We characterized the empirical signatures of explosive growth on the site frequency spectrum and found that the discrepancy in rare variant abundance across demographic modeling studies is mostly due to differences in sample size. Rapid recent growth increases the load of rare variants and is likely to play a role in the individual genetic burden of complex disease risk. Hence, the extreme recent human population growth needs to be taken into consideration in studying the genetics of complex diseases and traits.

The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother–father–child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10 −8 per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic research. 1000 Genomes Project pilots published This issue of Nature contains the first publication from The 1000 Genomes Project, an international collaboration that will produce an extensive public catalogue of human genetic variation. The plan, in fact, is to sequence about 2,000 unidentified individuals from 20 populations around the world. This first paper presents the results from the project's pilot phase, testing three different strategies for genome-wide sequencing with high-throughput platforms: low-coverage whole-genome sequencing of 179 individuals in three population groups, high-coverage sequencing of two mother–father–child trios, and exon-targeted sequencing of 697 individuals from seven populations. The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

The results of sequencing the collared flycatcher genome, and re-sequencing population samples from this species and its sister species, the pied flycatcher, reveal the existence of areas of high sequence divergence compared to background levels, and suggest that complex repeat structures may drive species divergence and that sex chromosomes and autosomes are at different stages of speciation. Gene repeats in avian speciation Flycatchers are important models for speciation. To provide genome-wide insight into the divergence that occurred between lineages during speciation, Hans Ellegren et al . have sequenced the pied flycatcher genome and re-sequenced population samples from this and another species. The results reveal the existence of 'divergence islands' — with fiftyfold higher sequence divergence than the genomic background — non-randomly distributed across the genome. Natural selection acting in both lineages drives divergence in these regions. The authors also report the unexpected observation that targets for selection may not be genes, and may instead be centromeric and telomeric repeats. Unravelling the genomic landscape of divergence between lineages is key to understanding speciation 1 . The naturally hybridizing collared flycatcher and pied flycatcher are important avian speciation models 2 , 3 , 4 , 5 , 6 , 7 that show pre- as well as postzygotic isolation 8 , 9 . We sequenced and assembled the 1.1-Gb flycatcher genome, physically mapped the assembly to chromosomes using a low-density linkage map 10 and re-sequenced population samples of each species. Here we show that the genomic landscape of species differentiation is highly heterogeneous with approximately 50 ‘divergence islands’ showing up to 50-fold higher sequence divergence than the genomic background. These non-randomly distributed islands, with between one and three regions of elevated divergence per chromosome irrespective of chromosome size, are characterized by reduced levels of nucleotide diversity, skewed allele-frequency spectra, elevated levels of linkage disequilibrium and reduced proportions of shared polymorphisms in both species, indicative of parallel episodes of selection. Proximity of divergence peaks to genomic regions resistant to sequence assembly, potentially including centromeres and telomeres, indicate that complex repeat structures may drive species divergence. A much higher background level of species divergence of the Z chromosome, and a lower proportion of shared polymorphisms, indicate that sex chromosomes and autosomes are at different stages of speciation. This study provides a roadmap to the emerging field of speciation genomics.

Human population in the genes The history of human population size is important to understanding human evolution. Heng Li and Richard Durbin use complete genome sequences from Chinese, Korean, European and Yoruban (West African) individuals to estimate population sizes between 10,000 and 1 million years ago. They infer that European and Chinese populations had very similar size histories until about 10,000–20,000 years ago. The European, Chinese and African populations all had an elevated effective population between 60,000 and 250,000 years ago. Genomic analysis suggests that the differentiation of genetically modern humans may have started as early as 100,000–120,000 years ago. The history of human population size is important for understanding human evolution. Various studies 1 , 2 , 3 , 4 , 5 have found evidence for a founder event (bottleneck) in East Asian and European populations, associated with the human dispersal out-of-Africa event around 60 thousand years (kyr) ago. However, these studies have had to assume simplified demographic models with few parameters, and they do not provide a precise date for the start and stop times of the bottleneck. Here, with fewer assumptions on population size changes, we present a more detailed history of human population sizes between approximately ten thousand and a million years ago, using the pairwise sequentially Markovian coalescent model applied to the complete diploid genome sequences of a Chinese male (YH) 6 , a Korean male (SJK) 7 , three European individuals (J. C. Venter 8 , NA12891 and NA12878 (ref. 9 )) and two Yoruba males (NA18507 (ref. 10 ) and NA19239). We infer that European and Chinese populations had very similar population-size histories before 10–20 kyr ago. Both populations experienced a severe bottleneck 10–60 kyr ago, whereas African populations experienced a milder bottleneck from which they recovered earlier. All three populations have an elevated effective population size between 60 and 250 kyr ago, possibly due to population substructure 11 . We also infer that the differentiation of genetically modern humans may have started as early as 100–120 kyr ago 12 , but considerable genetic exchanges may still have occurred until 20–40 kyr ago.

The history of click-speaking Khoe-San, and African populations in general, remains poorly understood. We genotyped ~2.3 million single-nucleotide polymorphisms in 220 southern Africans and found that the Khoe-San diverged from other populations ≥100,000 years ago, but population structure within the Khoe-San dated back to about 35,000 years ago. Genetic variation in various sub-Saharan populations did not localize the origin of modern humans to a single geographic region within Africa; instead, it indicated a history of admixture and stratification. We found evidence of adaptation targeting muscle function and immune response; potential adaptive introgression of protection from ultraviolet light; and selection predating modern human diversification, involving skeletal and neurological development. These new findings illustrate the importance of African genomic diversity in understanding human evolutionary history.

Genetic influence on blood pressure Compared to other common complex diseases, it has proved remarkably difficult to establish the genetic basis of blood-pressure elevation. A multi-stage genome-wide association study involving 200,000 individuals of European descent provides some of the missing detail in the genetic picture. The study identified 16 relevant loci, of which only 6 contain genes previously known or suspected to regulate blood pressure. An association was found between hypertension, the thickness of the left ventricular wall, stroke and coronary artery disease, but not kidney disease or kidney function. Comparison with data from more than 75,000 people of East Asian, South Asian and African ancestries confirmed that many of the variants identified in European-ancestry subjects also influence blood pressure in other populations. Blood pressure is a heritable trait 1 influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure) 2 . Even small increments in blood pressure are associated with an increased risk of cardiovascular events 3 . This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure ( GUCY1A3 – GUCY1B3 , NPR3 – C5orf23 , ADM , FURIN – FES , GOSR2 , GNAS – EDN3 ); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

A survey of genetic variation in Native American and Siberian populations reveals that Native Americans are descended from at least three streams of gene flow from Asia: after the initial peopling of the continent there was a southward expansion facilitated by the coast, with sequential population splits and little gene flow after divergence, especially in South America. The roads to the Americas The settlement of the Americas occurred at least 15,000 years ago by means of the Beringia land bridge that existed between Asia and America during the ice ages. Key questions about how many migrations were involved and subsequent dispersal patterns within the Americas remain unresolved. This new survey of genetic variation in Native American and Siberian populations shows that Native Americans descend from at least three waves of migration from Asia. After the initial peopling of the continent there was a southward expansion along the coast, with sequential population splits and little gene flow after divergence, particularly in South America. The peopling of the Americas has been the subject of extensive genetic, archaeological and linguistic research; however, central questions remain unresolved 1 , 2 , 3 , 4 , 5 . One contentious issue is whether the settlement occurred by means of a single 6 , 7 , 8 migration or multiple streams of migration from Siberia 9 , 10 , 11 , 12 , 13 , 14 , 15 . The pattern of dispersals within the Americas is also poorly understood. To address these questions at a higher resolution than was previously possible, we assembled data from 52 Native American and 17 Siberian groups genotyped at 364,470 single nucleotide polymorphisms. Here we show that Native Americans descend from at least three streams of Asian gene flow. Most descend entirely from a single ancestral population that we call ‘First American’. However, speakers of Eskimo–Aleut languages from the Arctic inherit almost half their ancestry from a second stream of Asian gene flow, and the Na-Dene-speaking Chipewyan from Canada inherit roughly one-tenth of their ancestry from a third stream. We show that the initial peopling followed a southward expansion facilitated by the coast, with sequential population splits and little gene flow after divergence, especially in South America. A major exception is in Chibchan speakers on both sides of the Panama isthmus, who have ancestry from both North and South America.

India has been underrepresented in genome-wide surveys of human variation. We analyse 25 diverse groups in India to provide strong evidence for two ancient populations, genetically divergent, that are ancestral to most Indians today. One, the ‘Ancestral North Indians’ (ANI), is genetically close to Middle Easterners, Central Asians, and Europeans, whereas the other, the ‘Ancestral South Indians’ (ASI), is as distinct from ANI and East Asians as they are from each other. By introducing methods that can estimate ancestry without accurate ancestral populations, we show that ANI ancestry ranges from 39–71% in most Indian groups, and is higher in traditionally upper caste and Indo-European speakers. Groups with only ASI ancestry may no longer exist in mainland India. However, the indigenous Andaman Islanders are unique in being ASI-related groups without ANI ancestry. Allele frequency differences between groups in India are larger than in Europe, reflecting strong founder effects whose signatures have been maintained for thousands of years owing to endogamy. We therefore predict that there will be an excess of recessive diseases in India, which should be possible to screen and map genetically. Meet the ancestors: Indian population history from gene screening Analysis of genetic variation in 132 individuals from 25 diverse groups in India reveals that two ancient, genetically divergent populations are ancestral to most Indians today. One lineage, termed Ancestral North Indian, is genetically close to Middle Easterners, Central Asians and Europeans. The other, Ancestral South Indian, is not close to any group outside the subcontinent. The answers to several long-standing questions emerge from this work. It seems that 'caste' has been a powerful force shaping marriage in India for thousands of years — some anthropologists argued that its current strength was a product of British colonialism. And the enigmatic 'Negritos' of the Andaman Islands are identified as an ancient isolate from the Ancestral South Indian population. Allele frequency differences between population groups are high, in part due to the custom of within-group marriages, so it is likely that there is an excess of recessive diseases in India that can be screened for and mapped genetically. Genome-wide analysis of human variation in 25 diverse groups from India reveals two ancient populations, genetically divergent, that are ancestral to most Indians today. Traditionally upper caste and Indo-European speakers tend to be descended from a group that is genetically close to Middle Easterners, Central Asians and Europeans. The other group, the 'Ancestral South Indians', does not appear to be close to any group outside the subcontinent.

Here we report the genome sequence of the honeybee Apis mellifera, a key model for social behaviour and essential to global ecology through pollination. Compared with other sequenced insect genomes, the A. mellifera genome has high A+T and CpG contents, lacks major transposon families, evolves more slowly, and is more similar to vertebrates for circadian rhythm, RNA interference and DNA methylation genes, among others. Furthermore, A. mellifera has fewer genes for innate immunity, detoxification enzymes, cuticle-forming proteins and gustatory receptors, more genes for odorant receptors, and novel genes for nectar and pollen utilization, consistent with its ecology and social organization. Compared to Drosophila, genes in early developmental pathways differ in Apis, whereas similarities exist for functions that differ markedly, such as sex determination, brain function and behaviour. Population genetics suggests a novel African origin for the species A. mellifera and insights into whether Africanized bees spread throughout the New World via hybridization or displacement.

Since the completion of the genome sequence of Saccharomyces cerevisiae in 1996 (refs 1, 2), there has been a large increase in complete genome sequences, accompanied by great advances in our understanding of genome evolution. Although little is known about the natural and life histories of yeasts in the wild, there are an increasing number of studies looking at ecological and geographic distributions, population structure and sexual versus asexual reproduction. Less well understood at the whole genome level are the evolutionary processes acting within populations and species that lead to adaptation to different environments, phenotypic differences and reproductive isolation. Here we present one- to fourfold or more coverage of the genome sequences of over seventy isolates of the baker's yeast S. cerevisiae and its closest relative, Saccharomyces paradoxus. We examine variation in gene content, single nucleotide polymorphisms, nucleotide insertions and deletions, copy numbers and transposable elements. We find that phenotypic variation broadly correlates with global genome-wide phylogenetic relationships. S. paradoxus populations are well delineated along geographic boundaries, whereas the variation among worldwide S. cerevisiae isolates shows less differentiation and is comparable to a single S. paradoxus population. Rather than one or two domestication events leading to the extant baker's yeasts, the population structure of S. cerevisiae consists of a few well-defined, geographically isolated lineages and many different mosaics of these lineages, supporting the idea that human influence provided the opportunity for cross-breeding and production of new combinations of pre-existing variations.