Genome wide data from Agta hunter-gatherers in Philippines
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ABSTRACT:
PROVIDER: EGAS00001005315 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:To investigate the factors affecting the composition of the oral microbiome of Agta hunter-gatherers from the Philippines, we sequenced the 16S rRNA region from saliva samples from the Agta population (hunter-gatherers from Philippines) together with BaYaka (hunter-gatherers from Congo) and Palanan farmers (neighboring population of the Agta).
| EGAS00001005317 | EGA
Project description:The shift from a hunter-gatherer (HG) to an agricultural (AG) mode of subsistence is believed to have been associated with profound changes in the burden and diversity of pathogens across human populations. Yet, the extent to which the advent of agriculture impacted the evolution of the human immune system remains unknown. Here we present a comparative study of variation in the transcriptional responses of peripheral blood mononuclear cells (PBMCs) to bacterial and viral stimuli between the Batwa, a rainforest hunter-gatherer, and the Bakiga, an agriculturalist population from Central Africa. We observed increased divergence between hunter-gatherers and farmers in the transcriptional response to viruses compared to that for bacterial stimuli. We demonstrate that a significant fraction of these transcriptional differences are under genetic control, and we show that positive natural selection has helped to shape population differences in immune regulation. Unexpectedly, we found stronger signatures of recent natural selection in the rainforest hunter-gatherers, which argues against the popularized notion that shifts in pathogen exposure due to the advent of agriculture imposed radically heightened selective pressures in agriculturalist populations.
2018-09-27 | GSE120502 | GEO
Project description:Genotype data for Agta hunter-gatherers Philippines
| EGAD00010002140 | EGA
Project description:The distribution of deleterious genetic variation across human populations is a key issue in evolutionary biology and medical genetics. However, the impact of different modes of subsistence on recent changes in population size, patterns of gene flow, and deleterious mutational load remains unclear. Here, we report high-coverage exomes from various populations of rainforest hunter-gatherers and farmers from central Africa. We find that the recent demographic histories of hunter-gatherers and farmers differed considerably, with population collapses for hunter-gatherers and expansions for farmers, accompanied by increased gene flow. We show that purifying selection against newly arising deleterious alleles is of similar efficiency across African populations, in contrast with Europeans where we detect weaker purifying selection. Furthermore, the per-individual mutation load of rainforest hunter-gatherers is similar to that of farmers, under both additive and recessive models. Our results indicate that differences in the cultural practices and demographic regimes of African populations have not resulted in large differences in mutational burden, and highlight the beneficial role of gene flow in reshaping the distribution of deleterious genetic variation across human populations.
| EGAS00001002457 | EGA
Project description:16S rRNA gene V3-V4 region sequenced from 148 saliva samples of Agta hunter-gatherers from Philippines.
| EGAD00001007726 | EGA
Project description:The genetic structure of the indigenous hunter-gatherer peoples of Southern Africa, the oldest known lineage of modern man, holds an important key to understanding humanity's early history. Previously sequenced human genomes have been limited to recently diverged populations. Here we present the first complete genome sequences of an indigenous hunter-gatherer from the Kalahari Desert and of a Bantu from Southern Africa, as well as protein-coding regions from an additional three hunter-gatherers from disparate regions of the Kalahari. We characterize the extent of whole-genome and exome diversity among the five men, reporting 1.3 million novel DNA differences genome-wide, and 13,146 novel amino-acid variants. These data allow genetic relationships among Southern African foragers and neighboring agriculturalists to be traced more accurately than was previously possible. Adding the described variants to current databases will facilitate inclusion of Southern Africans in medical research efforts.
2010-02-18 | GSE19048 | GEO
Project description:To investigate how human populations have adapted to the equatorial rainforest, we generated 266 high-coverage exomes, analyzed in combination with 300 published exomes, from 14 populations of African rainforest hunter-gatherers and farmers, together with 40 newly-generated, low-coverage genomes. Genome scans for positive selection and signatures of polygenic selection provide evidence for local adaptation of hunter-gatherers to the African rainforest.
| EGAS00001003722 | EGA
Project description:The genetic structure of the indigenous hunter-gatherer peoples of Southern Africa, the oldest known lineage of modern man, holds an important key to understanding humanity's early history. Previously sequenced human genomes have been limited to recently diverged populations. Here we present the first complete genome sequences of an indigenous hunter-gatherer from the Kalahari Desert and of a Bantu from Southern Africa, as well as protein-coding regions from an additional three hunter-gatherers from disparate regions of the Kalahari. We characterize the extent of whole-genome and exome diversity among the five men, reporting 1.3 million novel DNA differences genome-wide, and 13,146 novel amino-acid variants. These data allow genetic relationships among Southern African foragers and neighboring agriculturalists to be traced more accurately than was previously possible. Adding the described variants to current databases will facilitate inclusion of Southern Africans in medical research efforts. Copy number differences between NA18507 and KB1 were predicted from the depth of whole-genome shotgun sequence reads. These predictions were then validated using array-CGH using a a genome-wide design as well as a custom design targeted at specific regions of copy number difference
2010-02-17 | E-GEOD-19048 | biostudies-arrayexpress
Project description:The evolutionary and biological bases of the Central African pygmy phenotype, a characteristic of rainforest huntergatherers defined by reduced body size compared with neighboring farmers, remain largely unknown. Here, we perform a joint investigation in Central African hunter-gatherers and farmers of adult standing height, sitting height, leg length, and body mass index (BMI), considering 358 hunter-gatherers and 169 farmers with genotypes for 153,798 SNPs. In addition to reduced standing heights, hunter-gatherers have shorter sitting heights and leg lengths and higher sitting/standing height ratios than farmers and lower BMI for males. Standing height, sitting height, and leg length are strongly correlated with inferred levels of farmer genetic ancestry, whereas BMI is only weakly correlated, perhaps reflecting greater contributions of non-genetic factors to body weight than to height. Single- and multi-marker association tests identify one region and eight genes associated with hunter-gatherer/farmer status, and 24 genes associated with the height-related traits. Many of these genes have putative functions consistent with roles in determining their associated traits and the pygmy phenotype, and they include three associated with standing height in non-Africans (PRKG1, DSCAM, MAGI2). We find evidence that European height-associated SNPs or variants in linkage disequilibrium with them contribute to standing- and sitting-height determination in Central Africans, but not to the differential status of hunter-gatherers and farmers. These findings provide new insights into the biological basis of the pygmy phenotype, and they highlight the potential of cross-population studies for exploring the genetic basis of phenotypes that vary naturally across populations.
Pemberton et al. Human Genetics 2018
https://doi.org/10.1007/s00439-018-1902-3
| EGAS00001002975 | EGA
Project description:Genotype data for BaYaka hunter-gatherers Congo
| EGAD00010002139 | EGA