AI Article Synopsis

  • Genetic factors are believed to contribute to how humans adapt to high altitudes, but this has not been thoroughly verified until now.
  • The study focuses on native Ethiopians living at 3,500 meters and identifies a significant gene-rich region on chromosome 19 linked to hypoxia tolerance, demonstrating a potential selective sweep for adaptation.
  • The findings underscore the importance of whole genome sequencing, revealing key genes that improve survival in low oxygen, which may have been missed in earlier studies that used less comprehensive methods.

Article Abstract

Background: Although it has long been proposed that genetic factors contribute to adaptation to high altitude, such factors remain largely unverified. Recent advances in high-throughput sequencing have made it feasible to analyze genome-wide patterns of genetic variation in human populations. Since traditionally such studies surveyed only a small fraction of the genome, interpretation of the results was limited.

Results: We report here the results of the first whole genome resequencing-based analysis identifying genes that likely modulate high altitude adaptation in native Ethiopians residing at 3,500 m above sea level on Bale Plateau or Chennek field in Ethiopia. Using cross-population tests of selection, we identify regions with a significant loss of diversity, indicative of a selective sweep. We focus on a 208 kbp gene-rich region on chromosome 19, which is significant in both of the Ethiopian subpopulations sampled. This region contains eight protein-coding genes and spans 135 SNPs. To elucidate its potential role in hypoxia tolerance, we experimentally tested whether individual genes from the region affect hypoxia tolerance in Drosophila. Three genes significantly impact survival rates in low oxygen: cic, an ortholog of human CIC, Hsl, an ortholog of human LIPE, and Paf-AHα, an ortholog of human PAFAH1B3.

Conclusions: Our study reveals evolutionarily conserved genes that modulate hypoxia tolerance. In addition, we show that many of our results would likely be unattainable using data from exome sequencing or microarray studies. This highlights the importance of whole genome sequencing for investigating adaptation by natural selection.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054780PMC
http://dx.doi.org/10.1186/gb-2014-15-2-r36DOI Listing

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