Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

591d1920-689e-44af-b5c4-f669dac74ac1 - samples

ABSTRACT: Exome sequencing of 20 rainforest hunter-gatherers (RHG) and 20 neighbouring farmers (AGR) from western central Africa was performed using 101-bp paired-end reads on Illumina HiSeq 2000. All individuals presented very low rates of missing values ranging from 0.5% to 4%, and a mean depth of coverage of 6.5× (ranging from 4× to 13×)(Lopez et al., Curr Biol 2019).

PROVIDER: EGAD00001005139 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Natural selection has contributed to functional immune response differences between human hunter-gatherers and agriculturalists

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

PygAgrMap - samples

Project description:Genome-wide SNP genotyping of African rainforest hunter-gatherers and neighbouring agriculturalists

| EGAD00010000496 | EGA

METPYGAGR_genotyping - samples

Project description:Genome-wide SNP genotyping of African rainforest hunter-gatherers and neighbouring agriculturalists by Illumina HumanOmniExpress

| EGAD00010000690 | EGA

METPYGAGR_methylation - samples

Project description:Genome-wide DNA methylation epigenotyping of African rainforest hunter-gatherers and neighbouring agriculturalists by Illumina HumanMethylation450

| EGAD00010000692 | EGA

Genome wide data from Agta hunter-gatherers in Philippines

Project description:To investigate the relationship between host genetics and the oral microbiome composition of Agta hunter-gatherers from the Philippines, we genotyped the Agta population (hunter-gatherers from Philippines) together with BaYaka (hunter-gatherers from Congo) and Palanan farmers (neighbouring population of the Agta).

| EGAS00001005315 | EGA

Exome and Whole-Genome Sequencing of Central African Hunter-Gatherers and Agriculturalists

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

971aec4a-5b25-4e45-8612-7dc2638168a5 - samples

Project description:Exome sequencing of 277 rainforest hunter-gatherers (RHG) and neighbouring farmers (AGR) from Central Africa was performed based on the Nextera Rapid Capture Expanded Exome Kit (62-Mb content) with the Illumina HiSeq 2500. After QC filters, exomes of 266 unrelated individuals were obtained at high coverage (Lopez et al., Curr Biol 2019).

| EGAD00001005138 | EGA

The demographic history and mutational load of African hunter-gatherers and farmers

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

Oral microbiome composition of Agta hunter-gatherers (16S)

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

e8e237ad-12b0-4a8b-b547-b5cfe0904955 - samples

Project description:Exome sequencing of 317 rainforest hunter-gatherers (RHG) and neighbouring farmers (AGR) from Central Africa was performed based on the Nextera Rapid Capture Expanded Exome Kit (62-Mb content) with the Illumina HiSeq 2500. The population sample includes the Baka of south-eastern Cameroon and northern Gabon (wRHG), the Bantu-speaking Nzebi and Bapunu sedentary agriculturalists of Gabon (wAGR), and the BaTwa (eRHG) and BaKiga (eAGR) from Uganda. After QC filters, exomes of 300 unrelated individuals were obtained at high coverage (mean depth 68x), including 406,270 variants.

| EGAD00001004569 | EGA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data