| Literature DB >> 24201705 |
Nayia Petousi1, Peter A Robbins.
Abstract
The Tibetan Plateau is one of the highest regions on Earth. Tibetan highlanders are adapted to life and reproduction in a hypoxic environment and possess a suite of distinctive physiological traits. Recent studies have identified genomic loci that have undergone natural selection in Tibetans. Two of these loci, EGLN1 and EPAS1, encode major components of the hypoxia-inducible factor transcriptional system, which has a central role in oxygen sensing and coordinating an organism's response to hypoxia, as evidenced by studies in humans and mice. An association between genetic variants within these genes and hemoglobin concentration in Tibetans at high altitude was demonstrated in some of the studies (8, 80, 96). Nevertheless, the functional variants within these genes and the underlying mechanisms of action are still not known. Furthermore, there are a number of other possible phenotypic traits, besides hemoglobin concentration, upon which natural selection may have acted. Integration of studies at the genomic level with functional molecular studies and studies in systems physiology has the potential to provide further understanding of human evolution in response to high-altitude hypoxia. The Tibetan paradigm provides further insight on the role of the hypoxia-inducible factor system in humans in relation to oxygen homeostasis.Entities:
Keywords: EGLN1; EPAS1; Tibetan; adaptation; evolution; hypoxia-inducible factor
Mesh:
Substances:
Year: 2013 PMID: 24201705 PMCID: PMC3972749 DOI: 10.1152/japplphysiol.00605.2013
Source DB: PubMed Journal: J Appl Physiol (1985) ISSN: 0161-7567
Fig. 1.Cumulative frequency distribution of hemoglobin concentrations in US residents at sea level and Tibetan and Bolivian Aymara natives at 4,000 m. A: results for men. B: results for women. [From Beall et al. (7).]
Fig. 2.Birth weight plotted against altitude of residence for Tibetans and Han Chinese, showing a significantly smaller birth weight fall with increasing altitude in Tibetans than in Han Chinese. Values are means ± SE. [From Moore et al. (57).]
Summary of genome-wide studies of high altitude adaptation in Tibetans
| Study | Populations | Methodology (Approach and Platform) | HIF Pathway Genes Identified |
|---|---|---|---|
| Simonson et al. ( | 1. Tibetan highlanders from Qinghai Province ( | 1. XP-EHH, iHS (Affymetrix 6.0 SNP array) | |
| 2. Tibetan highlanders ( | 2. Candidate gene association study (Hb concentration) | ||
| Beall et al. ( | 1. Tibetan highlanders from Yunnan Province ( | 1. GWADS (Illumina 610-Quad SNP array) | |
| 2. Tibetan highlanders from Mag Xiang, Tibet Autonomous Region ( | 2. Candidate gene association study (Hb concentration) | ||
| Yi et al. ( | 1. Tibetan highlanders from Tibetan Autonomous Region ( | 1. PBS (Exome Sequencing, Illumina) | |
| 2. Tibetan highlanders from Tibetan Autonomous Region ( | 2. Candidate gene association study (erythrocyte count) | ||
| Bigham et al. ( | Tibetan highlanders from Tibetan Autonomous region ( | LSBL, lnRH, Taj D, WGLRH (Affymetrix 6.0 SNP array) | |
| Peng et al. ( | 1. Tibetan highlanders from Qinghai Province ( | 1. XP-CLR, FST (Affymetrix 6.0 SNP array) | |
| 2. Tibetan highlanders from Qinghai Province ( | 2. Full-length sequencing of | ||
| 3. Tibetan highlanders from Tibetan Autonomous Region, Qinghai, and Yunnan Provinces ( | 3. Candidate gene SNP genotyping for allele frequency comparisons | ||
| Xu et al. ( | Tibetan highlanders from Tibet (Shannan, Rikaza, Linzhi, Lasha, and Changdu) ( | FST, iHS, XP-EHH (Affymetrix 6.0 SNP array), haplotype construction | |
| Wang et al. ( | Tibetan highlanders from near Lhasa ( | FST, iHS, XP-EHH (Illumina 1M) |
HIF, hypoxia-inducible factor; CHB, Han Chinese in Beijing, China; JPT, Japanese in Tokyo, Japan; YRI, Yoruba in Ibadan, Nigeria; CEU, Utah residents with Northern and Western European ancestry; HGDP, human genome diversity project; XP-EHH, cross-population extended haplotype homozygosity; iHS, integrated haplotype score; GWADS, genome-wide allelic differentiation scan; PBS, population branch statistic; LSBL, locus-specific branch length; lnRH, natural logarithm of ratio of heterozygosities; Taj D, Tajima's D statistic; WGLRH, whole genome long-range haplotype; XP-CLR, cross-population composite likelihood ratio test; FST, fixation index. The basis of these and other techniques are described in recent reviews (15, 80).
Fig. 3.Genome-wide allelic differentiation scans comparing Tibetan highlanders and HapMap Han Chinese. Eight single nucleotide polymorphisms near EPAS1 achieved genome-wide significance. [From Beall et al. (8).]
Fig. 4.Schematic representation of the regulation of hypoxia-inducible factor (HIF)-α by hypoxia. In the presence of oxygen (O2) and iron (Fe2+), prolyl hydroxylase domain (PHD) enzymes hydroxylate specific proline residues in HIF-α, increasing the binding of the Von Hippel-Lindau (VHL) tumor suppressor protein. This targets HIF-α for ubiquitination and mediates its proteosmal degradation. In hypoxia, HIF-α accumulates, dimerizes with HIF-β, binds to DNA, and transcriptionally regulates hypoxia-responsive genes. [Courtesy of Dr. Federico Formenti, University of Oxford, Oxford, UK.]