101
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Kong X, Dong X, Yang S, Qian J, Yang J, Jiang Q, Li X, Wang B, Yan D, Lu S, Zhu L, Li G, Li M, Yi S, Deng M, Sun L, Zhou X, Mao H, Gou X. Natural selection on TMPRSS6 associated with the blunted erythropoiesis and improved blood viscosity in Tibetan pigs. Comp Biochem Physiol B Biochem Mol Biol 2019; 233:11-22. [PMID: 30885835 DOI: 10.1016/j.cbpb.2019.03.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/08/2019] [Accepted: 03/08/2019] [Indexed: 02/04/2023]
Abstract
Tibetan pigs, indigenous to Tibetan plateau, are well adapted to hypoxia. So far, there have been not any definitively described genes and functional sites responsible for hypoxia adaptation for the Tibetan pig. The whole genome-wide association studies in human suggested that genetic variations in TMPRSS6 was associated with hemoglobin concentration (HGB) and red cell counts (RBC). Here we conducted resequencing of the nearly entire genomic region (40.1 kb) of the candidate gene TMPRSS6 in 40 domestic pigs and 40 wild boars along continuous altitudes and identified 708 SNPs, in addition to an indel (CGTG/----) in the intron 10. We conduct the CGTG indel in 838 domestic pigs, both the CGTG deletion frequency and the pairwise r2 linkage disequilibrium showed an increase with elevated altitudes, suggesting that TMPRSS6 has been under Darwinian positive selection. As the conserved core sequence of hypoxia-response elements (HREs), the deletion of CGTG in Tibetan pigs decreased the expression levels of TMPRSS6 mRNA and protein in the liver revealed by real-time quantitative PCR and western blot, respectively. We compared domestic pigs and Tibetan pigs living continuous altitudes, found that the blood-related traits with the increase of altitude, however, the HGB did not increase with the elevation in Tibetan pigs. Genotype association analysis results dissected a genetic effect on reducing HGB by 13.25 g/L in Gongbo'gyamda Tibetan pigs, decreasing mean corpuscular volume (MCV) by 4.79 fl in Diqing Tibetan pigs. In conclusion, the CGTG deletion of TMPRSS6 resulted in lower HGB and smaller MCV, which could reflect a blunting erythropoiesis and improving blood viscosity as well as erythrocyte deformability. It remains to be determined whether a blunting of erythropoiesis for TMPRSS6 or others genetic effects are the physiological adaptations among Tibetan pigs.
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Affiliation(s)
- Xiaoyan Kong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xinxing Dong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Shuli Yang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Jinhua Qian
- Department of Animal Science, Yuxi Agriculture Vocational-Technical College, Yuxi, Yunnan, China
| | - Jianfa Yang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Qiang Jiang
- Dairy Cattle Research Center, Shandong Academy of Agricultural Science, Jinan, Shandong, China
| | - Xingrun Li
- Department of Animal Science, Dali Vocational and Technical College of Agriculture and Forestry, Dali, Yunnan, China
| | - Bo Wang
- Research Experimental Center, Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, China
| | - Dawei Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Shaoxiong Lu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Li Zhu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Gen Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Minjuan Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Shengnan Yi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Mingyue Deng
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Liyuan Sun
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xiaoxia Zhou
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Huaming Mao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
| | - Xiao Gou
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
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102
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Prohaska A, Racimo F, Schork AJ, Sikora M, Stern AJ, Ilardo M, Allentoft ME, Folkersen L, Buil A, Moreno-Mayar JV, Korneliussen T, Geschwind D, Ingason A, Werge T, Nielsen R, Willerslev E. Human Disease Variation in the Light of Population Genomics. Cell 2019; 177:115-131. [DOI: 10.1016/j.cell.2019.01.052] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 01/23/2019] [Accepted: 01/29/2019] [Indexed: 01/25/2023]
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103
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Voskarides K. Combination of 247 Genome-Wide Association Studies Reveals High Cancer Risk as a Result of Evolutionary Adaptation. Mol Biol Evol 2019; 35:473-485. [PMID: 29220501 PMCID: PMC5850495 DOI: 10.1093/molbev/msx305] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Analysis of GLOBOCAN-2012 data shows clearly here that cancer incidence worldwide is highly related with low average annual temperatures and extreme low temperatures. This applies for all cancers together or separately for many frequent or rare cancer types (all cancers P = 9.49×10-18). Supporting fact is that Inuit people, living at extreme low temperatures, have the highest cancer rates today. Hypothesizing an evolutionary explanation, 240 cancer genome-wide association studies, and seven genome-wide association studies for cold and high-altitude adaptation were combined. A list of 1,377 cancer-associated genes was created to initially investigate whether cold selected genes are enriched with cancer-associated genes. Among Native Americans, Inuit and Eskimos, the highest association was observed for Native Americans (P = 6.7×10-5). An overall or a meta-analysis approach confirmed further this result. Similar approach for three populations living at extreme high altitude, revealed high association for Andeans-Tibetans (P = 1.3×10-11). Overall analysis or a meta-analysis was also significant. A separate analysis showed special selection for tumor suppressor genes. These results can be viewed along with those of previous functional studies that showed that reduced apoptosis potential due to specific p53 variants (the most important tumor suppressor gene) is beneficial in high-altitude and cold environments. In conclusion, this study shows that genetic variants selected for adaptation at extreme environmental conditions can increase cancer risk later on age. This is in accordance with antagonistic pleiotropy hypothesis.
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104
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Abstract
Hypoxia signaling in the vasculature controls vascular permeability, inflammation, vascular growth, and repair of vascular injury. In this review, we summarize recent insights in this burgeoning field and highlight the importance of studying the heterogeneity of hypoxia responses among individual patients, distinct vascular beds, and even individual vascular cells.
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Affiliation(s)
- Glenn Marsboom
- Department of Pharmacology, University of Illinois College of Medicine , Chicago, Illinois
| | - Jalees Rehman
- Department of Pharmacology, University of Illinois College of Medicine , Chicago, Illinois.,Department of Medicine, Section of Cardiology, University of Illinois College of Medicine , Chicago, Illinois
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105
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Ilardo MA, Moltke I, Korneliussen TS, Cheng J, Stern AJ, Racimo F, de Barros Damgaard P, Sikora M, Seguin-Orlando A, Rasmussen S, van den Munckhof ICL, Ter Horst R, Joosten LAB, Netea MG, Salingkat S, Nielsen R, Willerslev E. Physiological and Genetic Adaptations to Diving in Sea Nomads. Cell 2019; 173:569-580.e15. [PMID: 29677510 DOI: 10.1016/j.cell.2018.03.054] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 01/01/2018] [Accepted: 03/21/2018] [Indexed: 12/30/2022]
Abstract
Understanding the physiology and genetics of human hypoxia tolerance has important medical implications, but this phenomenon has thus far only been investigated in high-altitude human populations. Another system, yet to be explored, is humans who engage in breath-hold diving. The indigenous Bajau people ("Sea Nomads") of Southeast Asia live a subsistence lifestyle based on breath-hold diving and are renowned for their extraordinary breath-holding abilities. However, it is unknown whether this has a genetic basis. Using a comparative genomic study, we show that natural selection on genetic variants in the PDE10A gene have increased spleen size in the Bajau, providing them with a larger reservoir of oxygenated red blood cells. We also find evidence of strong selection specific to the Bajau on BDKRB2, a gene affecting the human diving reflex. Thus, the Bajau, and possibly other diving populations, provide a new opportunity to study human adaptation to hypoxia tolerance. VIDEO ABSTRACT.
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Affiliation(s)
- Melissa A Ilardo
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark
| | - Ida Moltke
- Department of Biology, University of Copenhagen, Copenhagen 2200, Denmark
| | - Thorfinn S Korneliussen
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark; Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK
| | - Jade Cheng
- Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94720, USA
| | - Aaron J Stern
- Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94720, USA; Department of Computational Biology, University of California at Berkeley, Berkeley, CA 94720, USA
| | - Fernando Racimo
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark
| | | | - Martin Sikora
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark
| | - Andaine Seguin-Orlando
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark; Danish National High-throughput DNA Sequencing Centre, University of Copenhagen 1353, Denmark
| | - Simon Rasmussen
- Bioinformatics, Technical University of Denmark, Lyngby 2800, Denmark
| | - Inge C L van den Munckhof
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Leo A B Joosten
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen 6525, the Netherlands
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen 6525, the Netherlands; Department for Genomics and Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn 53115, Germany
| | | | - Rasmus Nielsen
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark; Department of Integrative Biology, University of California at Berkeley, Berkeley, CA 94720, USA.
| | - Eske Willerslev
- Centre for GeoGenetics, University of Copenhagen, Copenhagen 1350, Denmark; Department of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK; Wellcome Trust, Sanger Institute, Hinxton CB10 1SA, UK.
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106
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Zhang B, Ban D, Gou X, Zhang Y, Yang L, Chamba Y, Zhang H. Genome-wide DNA methylation profiles in Tibetan and Yorkshire pigs under high-altitude hypoxia. J Anim Sci Biotechnol 2019; 10:25. [PMID: 30867905 PMCID: PMC6397503 DOI: 10.1186/s40104-019-0316-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 01/04/2019] [Indexed: 12/21/2022] Open
Abstract
Background Tibetan pigs, which inhabit the Tibetan Plateau, exhibit distinct phenotypic and physiological characteristics from those of lowland pigs and have adapted well to the extreme conditions at high altitude. However, the genetic and epigenetic mechanisms of hypoxic adaptation in animals remain unclear. Methods Whole-genome DNA methylation data were generated for heart tissues of Tibetan pigs grown in the highland (TH, n = 4) and lowland (TL, n = 4), as well as Yorkshire pigs grown in the highland (YH, n = 4) and lowland (YL, n = 4), using methylated DNA immunoprecipitation sequencing. Results We obtained 480 million reads and detected 280679, 287224, 259066, and 332078 methylation enrichment peaks in TH, YH, TL, and YL, respectively. Pairwise TH vs. YH, TL vs. YL, TH vs. TL, and YH vs. YL comparisons revealed 6829, 11997, 2828, and 1286 differentially methylated regions (DMRs), respectively. These DMRs contained 384, 619, 192, and 92 differentially methylated genes (DMGs), respectively. DMGs that were enriched in the hypoxia-inducible factor 1 signaling pathway and pathways involved in cancer and hypoxia-related processes were considered to be important candidate genes for high-altitude adaptation in Tibetan pigs. Conclusions This study elucidates the molecular and epigenetic mechanisms involved in hypoxic adaptation in pigs and may help further understand human hypoxia-related diseases.
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Affiliation(s)
- Bo Zhang
- 1National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Dongmei Ban
- 1National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Xiao Gou
- 2College of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201 China
| | - Yawen Zhang
- 1National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Lin Yang
- 1National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Yangzom Chamba
- 3College of Animal Science, Tibet Agriculture and Animal Husbandry University, Linzhi, 860000 Tibet China
| | - Hao Zhang
- 1National Engineering Laboratory for Animal Breeding, Beijing Key Laboratory for Animal Genetic Improvement, China Agricultural University, Beijing, 100193 China
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107
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Heinrich EC, Wu L, Lawrence ES, Cole AM, Anza-Ramirez C, Villafuerte FC, Simonson TS. Genetic variants at the EGLN1 locus associated with high-altitude adaptation in Tibetans are absent or found at low frequency in highland Andeans. Ann Hum Genet 2019; 83:171-176. [PMID: 30719713 DOI: 10.1111/ahg.12299] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 12/03/2018] [Accepted: 12/20/2018] [Indexed: 12/19/2022]
Abstract
EGLN1 encodes the hypoxia-inducible factor (HIF) pathway prolyl hydroxylase 2 (PHD2) that serves as an oxygen-sensitive regulator of HIF activity. The EGLN1 locus exhibits a signature of positive selection in Tibetan and Andean populations and is associated with hemoglobin concentration in Tibetans. Recent reports provide evidence for functional roles of protein-coding variants within the first exon of EGLN1 (rs186996510, rs12097901) that are linked to an adaptive signal in Tibetans, yet whether these same variants are present and contribute to adaptation in Andean highlanders is unknown. We determined the frequencies of these adaptive Tibetan alleles in Quechua Andeans resident at high altitude (4,350 m) in addition to individuals of Nepali ancestry resident at sea level. The rs186996510 C (minor) allele previously found at high frequency in Tibetans is absent in Andean (G: 100%) and rare among Nepali (C: 11.8%, G: 88.2%) cohorts. The minor G allele of rs12097901 is found at similarly low frequencies in Andeans (G: 12.7%, C: 87.3%) and Nepalis (G: 23.5%, C: 76.5%) compared to Tibetans. These results suggest that adaptation involving EGLN1 in Andeans involves different mechanisms than those described in Tibetans. The precise Andean adaptive variants remain to be determined.
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Affiliation(s)
- Erica C Heinrich
- Division of Physiology, Department of Medicine, University of California, San Diego, La Jolla, California
| | - Lu Wu
- Division of Physiology, Department of Medicine, University of California, San Diego, La Jolla, California
| | - Elijah S Lawrence
- Division of Physiology, Department of Medicine, University of California, San Diego, La Jolla, California
| | - Amy M Cole
- Department of Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Cecilia Anza-Ramirez
- Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia (UPCH), Lima, Peru
| | | | - Tatum S Simonson
- Division of Physiology, Department of Medicine, University of California, San Diego, La Jolla, California
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108
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Montero-Mendieta S, Tan K, Christmas MJ, Olsson A, Vilà C, Wallberg A, Webster MT. The genomic basis of adaptation to high-altitude habitats in the eastern honey bee (Apis cerana). Mol Ecol 2019; 28:746-760. [PMID: 30576015 DOI: 10.1111/mec.14986] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 01/30/2023]
Abstract
The eastern honey bee (Apis cerana) is of central importance for agriculture in Asia. It has adapted to a wide variety of environmental conditions across its native range in southern and eastern Asia, which includes high-altitude regions. eastern honey bees inhabiting mountains differ morphologically from neighbouring lowland populations and may also exhibit differences in physiology and behaviour. We compared the genomes of 60 eastern honey bees collected from high and low altitudes in Yunnan and Gansu provinces, China, to infer their evolutionary history and to identify candidate genes that may underlie adaptation to high altitude. Using a combination of FST -based statistics, long-range haplotype tests and population branch statistics, we identified several regions of the genome that appear to have been under positive selection. These candidate regions were strongly enriched for coding sequences and had high haplotype homozygosity and increased divergence specifically in highland bee populations, suggesting they have been subjected to recent selection in high-altitude habitats. Candidate loci in these genomic regions included genes related to reproduction and feeding behaviour in honey bees. Functional investigation of these candidate loci is necessary to fully understand the mechanisms of adaptation to high-altitude habitats in the eastern honey bee.
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Affiliation(s)
| | - Ken Tan
- Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China
| | - Matthew J Christmas
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anna Olsson
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Carles Vilà
- Conservation and Evolutionary Genetics Group, Doñana Biological Station (EBD-CSIC), Seville, Spain
| | - Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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109
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Convergent evolution on the hypoxia-inducible factor (HIF) pathway genes EGLN1 and EPAS1 in high-altitude ducks. Heredity (Edinb) 2019; 122:819-832. [PMID: 30631144 PMCID: PMC6781116 DOI: 10.1038/s41437-018-0173-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 12/15/2022] Open
Abstract
During periods of reduced O2 supply, the most profound changes in gene expression are mediated by hypoxia-inducible factor (HIF) transcription factors that play a key role in cellular responses to low-O2 tension. Using target-enrichment sequencing, we tested whether variation in 26 genes in the HIF signaling pathway was associated with high altitude and therefore corresponding O2 availability in three duck species that colonized the Andes from ancestral low-altitude habitats in South America. We found strong support for convergent evolution in the case of two of the three duck species with the same genes (EGLN1, EPAS1), and even the same exons (exon 12, EPAS1), exhibiting extreme outliers with a high probability of directional selection in the high-altitude populations. These results mirror patterns of adaptation seen in human populations, which showed mutations in EPAS1, and transcriptional regulation differences in EGLN1, causing changes in downstream target transactivation, associated with a blunted hypoxic response.
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110
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Qi X, Zhang Q, He Y, Yang L, Zhang X, Shi P, Yang L, Liu Z, Zhang F, Liu F, Liu S, Wu T, Cui C, Ouzhuluobu, Bai C, Baimakangzhuo, Han J, Zhao S, Liang C, Su B. The Transcriptomic Landscape of Yaks Reveals Molecular Pathways for High Altitude Adaptation. Genome Biol Evol 2019; 11:72-85. [PMID: 30517636 PMCID: PMC6320679 DOI: 10.1093/gbe/evy264] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2018] [Indexed: 12/15/2022] Open
Abstract
Yak is one of the largest native mammalian species at the Himalayas, the highest plateau area in the world with an average elevation of >4,000 m above the sea level. Yak is well adapted to high altitude environment with a set of physiological features for a more efficient blood flow for oxygen delivery under hypobaric hypoxia. Yet, the genetic mechanism underlying its adaptation remains elusive. We conducted a cross-tissue, cross-altitude, and cross-species study to characterize the transcriptomic landscape of domestic yaks. The generated multi-tissue transcriptomic data greatly improved the current yak genome annotation by identifying tens of thousands novel transcripts. We found that among the eight tested tissues (lung, heart, kidney, liver, spleen, muscle, testis, and brain), lung and heart are two key organs showing adaptive transcriptional changes and >90% of the cross-altitude differentially expressed genes in lung display a nonlinear regulation. Pathways related to cell survival and proliferation are enriched, including PI3K-Akt, HIF-1, focal adhesion, and ECM–receptor interaction. These findings, in combination with the comprehensive transcriptome data set, are valuable to understanding the genetic mechanism of hypoxic adaptation in yak.
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Affiliation(s)
- Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,These authors contributed equally to this work
| | - Qu Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Perspective Sciences, Chongqing, China.,These authors contributed equally to this work
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,These authors contributed equally to this work
| | - Lixin Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,These authors contributed equally to this work
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Peng Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Linping Yang
- Animal Husbandry, Veterinary and Forestry Bureau of Maqu County, Maqu, China
| | - Zhengheng Liu
- Animal Husbandry, Veterinary and Forestry Bureau of Maqu County, Maqu, China
| | - Fuheng Zhang
- Animal Husbandry, Veterinary and Forestry Bureau of Maqu County, Maqu, China
| | - Fengyun Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining, China
| | - Shiming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining, China
| | - Tianyi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining, China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Baimakangzhuo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Jianlin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Shengguo Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Chunnian Liang
- Lanzhou Animal Husbandry and Veterinary Drug Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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111
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Cao P, Zhao Q, Shao Y, Yang H, Jin T, Li B, Li H. Genetic polymorphisms of the drug-metabolizing enzyme CYP2J2 in a Tibetan population. Medicine (Baltimore) 2018; 97:e12579. [PMID: 30290621 PMCID: PMC6200477 DOI: 10.1097/md.0000000000012579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
As an important metabolic enzyme, it is necessary to investigate the genetic polymorphisms of CYP2J2 among healthy Tibetan individuals. Genetic polymorphisms of CYP2J2 could affect enzyme activity and lead to differences among individual responses to drugs.We sequenced the whole gene of CYP2J2 in 100 unrelated, healthy Tibetan volunteers from the Tibet Autonomous Region and screened for genetic variants in the promoters, introns, exons, and the 3'-UTR regions.We detected 4 novel genetic polymorphisms of the CYP2J2 gene. The allelic frequencies of CYP2D6*1 and *7 were 0.955 and 0.045, respectively. CYP2D6*1/*7 decreased the activity of CYP2J2 and was expressed in 9% of the sample population.Our results provided basic data about CYP2J2 polymorphisms in a Tibetan population, suggested that the enzymatic activities of CYP2J2 might be different within the ethnic group, and offered a theoretical basis for individualized medical treatment and drug genomics studies.
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Affiliation(s)
| | - Qian Zhao
- Department of Otorhinolaryngology, The First Affiliated Hospital of Xi’an Jiaotong University
| | - Yuan Shao
- Department of Otorhinolaryngology, The First Affiliated Hospital of Xi’an Jiaotong University
| | - Hua Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, College of Life Sciences, Northwest University, Xi’an
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, College of Life Sciences, Northwest University, Xi’an
- School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, China
| | - Baiya Li
- Department of Otorhinolaryngology, The First Affiliated Hospital of Xi’an Jiaotong University
| | - Honghui Li
- Department of Otorhinolaryngology, The First Affiliated Hospital of Xi’an Jiaotong University
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112
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Rowold DJ, Gayden T, Luis JR, Alfonso-Sanchez MA, Garcia-Bertrand R, Herrera RJ. Investigating the genetic diversity and affinities of historical populations of Tibet. Gene 2018; 682:81-91. [PMID: 30266503 DOI: 10.1016/j.gene.2018.09.043] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 09/22/2018] [Indexed: 11/30/2022]
Abstract
This study elucidates Y chromosome distribution patterns in the three general provincial populations of historical Tibet, Amdo (n = 88), Dotoe (n = 109) and U-Tsang (n = 153) against the backdrop of 37 Asian reference populations. The central aim of this study is to investigate the genetic affinities of the three historical Tibetan populations among themselves and to neighboring populations. Y-SNP and Y-STR profiles were assessed in these historical populations. Correspondence analyses (CA) were generated with Y-SNP haplogroup data. Y-STR haplotypes were determined and employed to generate multidimensional scaling (MDS) plots based on Rst distances. Frequency contour maps of informative Y haplogroups were constructed to visualize the distributions of specific chromosome types. Network analyses based on Y-STR profiles of individuals under specific Y haplogroups were generated to examine the genetic heterogeneity among populations. Average gene diversity values and other parameters of population genetics interest were estimated to characterize the populations. The Y chromosomal results generated in this study indicate that using two sets of markers (Y-SNP, and Y-STR) the three Tibetan populations are genetically distinct. In addition, U-Tsang displays the highest gene diversity, followed by Amdo and Dotoe. The results of this transcontinental biogeographical investigation also indicate various degrees of paternal genetic affinities among these three Tibetan populations depending on the type of loci (Y-SNP or Y-STR) analyzed. The CA generated with Y-SNP haplogroup data demonstrates that Amdo and U-Tsang are closer to each other than to any neighboring non-Tibetan group. In contrast, the MDS plot based on Y-STR haplotypes displays Rst distances that are much shorter between U-Tsang and its geographic nearby populations of Ladakh, Punjab, Kathmandu and Newar than between it and Amdo. Moreover, although Dotoe is isolated from all other groups using both types of marker systems, it lies nearer to the other Tibetan collections in the Y-SNP CA than in the Y-STR MDS plot. High resolution and shallow evolutionary time frames engendered by Y-STR based analyses may reflect a more recent demographic history than that delineated by the more conserved Y-SNP markers.
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Affiliation(s)
- Diane J Rowold
- Foundation for Applied Molecular Evolution, Gainesville, FL 32601, USA
| | - Tenzin Gayden
- PRecision Oncology For Young PeopLE (PROFYLE), Montreal Node, Canada
| | - Javier Rodriguez Luis
- Area de Antropología, Facultad de Biología, Universidad de Santiago de Compostela, Campus Sur s/n, 15782 Santiago de Compostela, Spain
| | - Miguel A Alfonso-Sanchez
- Departamento de Genetica y Antropologia Fisica, Facultad de Ciencia y Tecnologia, Universidad del Pais Vasco (UPV/EHU), Bilbao, Spain
| | | | - Rene J Herrera
- Department of Molecular Biology, Colorado College, Colorado Springs, CO 80903, USA
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113
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Jeong C, Witonsky DB, Basnyat B, Neupane M, Beall CM, Childs G, Craig SR, Novembre J, Di Rienzo A. Detecting past and ongoing natural selection among ethnically Tibetan women at high altitude in Nepal. PLoS Genet 2018; 14:e1007650. [PMID: 30188897 PMCID: PMC6143271 DOI: 10.1371/journal.pgen.1007650] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 09/18/2018] [Accepted: 08/21/2018] [Indexed: 12/21/2022] Open
Abstract
Adaptive evolution in humans has rarely been characterized for its whole set of components, i.e. selective pressure, adaptive phenotype, beneficial alleles and realized fitness differential. We combined approaches for detecting polygenic adaptations and for mapping the genetic bases of physiological and fertility phenotypes in approximately 1000 indigenous ethnically Tibetan women from Nepal, adapted to high altitude. The results of genome-wide association analyses and tests for polygenic adaptations showed evidence of positive selection for alleles associated with more pregnancies and live births and evidence of negative selection for those associated with higher offspring mortality. Lower hemoglobin level did not show clear evidence for polygenic adaptation, despite its strong association with an EPAS1 haplotype carrying selective sweep signals.
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Affiliation(s)
- Choongwon Jeong
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - David B. Witonsky
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Buddha Basnyat
- Oxford University Clinical Research Unit, Patan Hospital, Kathmandu, Nepal
| | | | - Cynthia M. Beall
- Department of Anthropology, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Geoff Childs
- Department of Anthropology, Washington University in St. Louis, St. Louis, Missouri, United States of America
| | - Sienna R. Craig
- Department of Anthropology, Dartmouth College, Hanover, New Hampshire, United States of America
| | - John Novembre
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Anna Di Rienzo
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
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114
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Jacovas VC, Couto-Silva CM, Nunes K, Lemes RB, de Oliveira MZ, Salzano FM, Bortolini MC, Hünemeier T. Selection scan reveals three new loci related to high altitude adaptation in Native Andeans. Sci Rep 2018; 8:12733. [PMID: 30143708 PMCID: PMC6109162 DOI: 10.1038/s41598-018-31100-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 08/06/2018] [Indexed: 12/16/2022] Open
Abstract
The Andean Altiplano has been occupied continuously since the late Pleistocene, ~12,000 years ago, which places the Andean natives as one of the most ancient populations living at high altitudes. In the present study, we analyzed genomic data from Native Americans living a long-time at Andean high altitude and at Amazonia and Mesoamerica lowland areas. We have identified three new candidate genes - SP100, DUOX2 and CLC - with evidence of positive selection for altitude adaptation in Andeans. These genes are involved in the TP53 pathway and are related to physiological routes important for high-altitude hypoxia response, such as those linked to increased angiogenesis, skeletal muscle adaptations, and immune functions at the fetus-maternal interface. Our results, combined with other studies, showed that Andeans have adapted to the Altiplano in different ways and using distinct molecular strategies as compared to those of other natives living at high altitudes.
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Affiliation(s)
- Vanessa C Jacovas
- Genetics Departament, Biosciences Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Cainã M Couto-Silva
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil
| | - Kelly Nunes
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil
| | - Renan B Lemes
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil
| | | | - Francisco M Salzano
- Genetics Departament, Biosciences Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Maria Cátira Bortolini
- Genetics Departament, Biosciences Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
| | - Tábita Hünemeier
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, SP, Brazil.
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115
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Bhasuran B, Subramanian D, Natarajan J. Text mining and network analysis to find functional associations of genes in high altitude diseases. Comput Biol Chem 2018; 75:101-110. [DOI: 10.1016/j.compbiolchem.2018.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 03/14/2018] [Accepted: 05/01/2018] [Indexed: 02/07/2023]
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116
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Arciero E, Kraaijenbrink T, Asan, Haber M, Mezzavilla M, Ayub Q, Wang W, Pingcuo Z, Yang H, Wang J, Jobling MA, van Driem G, Xue Y, de Knijff P, Tyler-Smith C. Demographic History and Genetic Adaptation in the Himalayan Region Inferred from Genome-Wide SNP Genotypes of 49 Populations. Mol Biol Evol 2018; 35:1916-1933. [PMID: 29796643 PMCID: PMC6063301 DOI: 10.1093/molbev/msy094] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
We genotyped 738 individuals belonging to 49 populations from Nepal, Bhutan, North India, or Tibet at over 500,000 SNPs, and analyzed the genotypes in the context of available worldwide population data in order to investigate the demographic history of the region and the genetic adaptations to the harsh environment. The Himalayan populations resembled other South and East Asians, but in addition displayed their own specific ancestral component and showed strong population structure and genetic drift. We also found evidence for multiple admixture events involving Himalayan populations and South/East Asians between 200 and 2,000 years ago. In comparisons with available ancient genomes, the Himalayans, like other East and South Asian populations, showed similar genetic affinity to Eurasian hunter-gatherers (a 24,000-year-old Upper Palaeolithic Siberian), and the related Bronze Age Yamnaya. The high-altitude Himalayan populations all shared a specific ancestral component, suggesting that genetic adaptation to life at high altitude originated only once in this region and subsequently spread. Combining four approaches to identifying specific positively selected loci, we confirmed that the strongest signals of high-altitude adaptation were located near the Endothelial PAS domain-containing protein 1 and Egl-9 Family Hypoxia Inducible Factor 1 loci, and discovered eight additional robust signals of high-altitude adaptation, five of which have strong biological functional links to such adaptation. In conclusion, the demographic history of Himalayan populations is complex, with strong local differentiation, reflecting both genetic and cultural factors; these populations also display evidence of multiple genetic adaptations to high-altitude environments.
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Affiliation(s)
- Elena Arciero
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Thirsa Kraaijenbrink
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Asan
- BGI-Shenzhen, Shenzhen, China
| | - Marc Haber
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Massimo Mezzavilla
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Division of Experimental Genetics, Sidra Medical and Research Center, Doha, Qatar
| | - Qasim Ayub
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Tropical Medicine and Biology Multidisciplinary Platform, Monash University Malaysia Genomics Facility, Selangor Darul Ehsan, Malaysia
- School of Science, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
| | | | - Zhaxi Pingcuo
- The Third People’s Hospital of the Tibet Autonomous Region, Lhasa, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Science, Hangzhou, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Science, Hangzhou, China
| | - Mark A Jobling
- Department of Genetics & Genome Biology, University of Leicester, Leicester, United Kingdom
| | | | - Yali Xue
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
| | - Peter de Knijff
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Chris Tyler-Smith
- The Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
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Comparative genomic investigation of high-elevation adaptation in ectothermic snakes. Proc Natl Acad Sci U S A 2018; 115:8406-8411. [PMID: 30065117 DOI: 10.1073/pnas.1805348115] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Several previous genomic studies have focused on adaptation to high elevations, but these investigations have been largely limited to endotherms. Snakes of the genus Thermophis are endemic to the Tibetan plateau and therefore present an opportunity to study high-elevation adaptations in ectotherms. Here, we report the de novo assembly of the genome of a Tibetan hot-spring snake (Thermophis baileyi) and then compare its genome to the genomes of the other two species of Thermophis, as well as to the genomes of two related species of snakes that occur at lower elevations. We identify 308 putative genes that appear to be under positive selection in Thermophis We also identified genes with shared amino acid replacements in the high-elevation hot-spring snakes compared with snakes and lizards that live at low elevations, including the genes for proteins involved in DNA damage repair (FEN1) and response to hypoxia (EPAS1). Functional assays of the FEN1 alleles reveal that the Thermophis allele is more stable under UV radiation than is the ancestral allele found in low-elevation lizards and snakes. Functional assays of EPAS1 alleles suggest that the Thermophis protein has lower transactivation activity than the low-elevation forms. Our analysis identifies some convergent genetic mechanisms in high-elevation adaptation between endotherms (based on studies of mammals) and ectotherms (based on our studies of Thermophis).
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118
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Verma P, Sharma A, Sodhi M, Thakur K, Bharti VK, Kumar P, Giri A, Kalia S, Swami SK, Mukesh M. Overexpression of genes associated with hypoxia in cattle adapted to Trans Himalayan region of Ladakh. Cell Biol Int 2018; 42:1141-1148. [PMID: 29719086 DOI: 10.1002/cbin.10981] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 04/28/2018] [Indexed: 11/05/2022]
Abstract
Ladakh is an important part of the Trans-Himalayan region located between the Kunlun mountain range in the north and the main Great Himalayas to the south in the state of Jammu and Kashmir of India. The local cattle from Leh and Ladakh region, known as "Ladakhi cattle" is a unique germplasm having an excellent adaptation potential to high altitude hypobaric stress. In the present study, an effort was made to evaluate the transcriptional pattern of hypoxia inducing factor-1 (HIF-1) and several of its regulated genes in PBMCs of local Ladakhi cattle, Holstein Frisian crosses, Jersey (exotic) maintained at high altitude region and Sahiwal (Bos indicus) and Karan Fries (cross bred) cattle maintained in tropical environment. The combined data set indicated increased expression of HIF-1 and its regulated genes viz., glucose transporter 1 (GLUT1), vascular endothelial growth factor (VEGF), and hexokinase (HK2) in high altitude cattle indicating their importance in maintaining cellular homeostasis during high altitude hypoxia. The data indicated that hypoxia associated genes accumulated under hypoxic conditions are part of an essential adaptive component for adaptation to the high altitude of the trans-Himalayan region. In contrary, higher expression of molecular chaperons' viz., HSP70 and HSP90 in tropically adapted cattle give tolerance to high ambient temperature prevalent in tropical condition. In conclusion, HIF-1 and its regulatory genes could be termed as important candidates for producing homeostatic responses to hypoxia in cattle populations reared in higher altitudes of the Trans-Himalayan region.
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Affiliation(s)
- Preeti Verma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Ankita Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Monika Sodhi
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Kiran Thakur
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Vijay K Bharti
- Defence Institute of High Altitude Research, Leh, Jammu and Kashmir, India
| | - Prabhat Kumar
- Defence Institute of High Altitude Research, Leh, Jammu and Kashmir, India
| | - Arup Giri
- Defence Institute of High Altitude Research, Leh, Jammu and Kashmir, India
| | - Sahil Kalia
- Defence Institute of High Altitude Research, Leh, Jammu and Kashmir, India
| | | | - Manishi Mukesh
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
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119
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Ma LG, Chen QH, Wang YY, Wang J, Ren ZP, Cao ZF, Cao YR, Ma X, Wang BB. Spatial pattern and variations in the prevalence of congenital heart disease in children aged 4-18 years in the Qinghai-Tibetan Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 627:158-165. [PMID: 29426137 DOI: 10.1016/j.scitotenv.2018.01.194] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 01/19/2018] [Accepted: 01/19/2018] [Indexed: 05/28/2023]
Abstract
PURPOSE This study aimed to investigate the spatial distribution pattern of the prevalence of congenital heart disease (CHD) in children in Qinghai-Tibetan Plateau (QTP), a high-altitude region in China. METHODS Epidemiological data from a survey on the prevalence of CHD in Qinghai Province including 288,066 children (4-18 years) were used in this study. The prevalence and distribution pattern of CHD was determined by sex, CHD subtype, and nationality and altitude. Spatial pattern analysis using Getis-Ord Gi⁎ was used to identify the spatial distribution of CHD. Bayesian spatial binomial regression was performed to examine the relationship between the prevalence of CHD and environmental risk factors in the QTP. RESULTS The prevalence of CHD showed a significant spatial clustering pattern. The Tibetan autonomous prefecture of Yushu (average altitude > 4000 m) and the Mongolian autonomous county of Henan (average altitude > 3600 m) in Huangnan had the highest prevalence of CHD. Univariate analysis showed that with ascending altitude, the total prevalence of CHD, that in girls and boys with CHD, and that of the subtypes PDA and ASD increasing accordingly. Thus, environmental factors greatly contributed to the prevalence of CHD. CONCLUSIONS The prevalence of CHD shows significant spatial clustering pattern in the QTP. The CHD subtype prevalence clustering pattern has statistical regularity which would provide convenient clues of environmental risk factors. Our results may provide support to make strategies of CHD prevention, to reduce the incidence of CHD in high altitude regions of China.
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Affiliation(s)
- Li-Guang Ma
- National Research Institute for Family Planning, Beijing 100081, PR China; Beijing GIStone Information Technology Co Ltd., Beijing 100101,PR China
| | - Qiu-Hong Chen
- Central Laboratory, Qinghai Cardiovascular Diseases Vocational Hospital, Xining, Qinghai 810012, PR China.
| | - Yuan-Yuan Wang
- National Research Institute for Family Planning, Beijing 100081, PR China
| | - Jing Wang
- Department of Medical Genetics and Developmental Biology, School of Medical Basic, Capital Medical University, Beijing 100069, PR China
| | - Zhou-Peng Ren
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - Zong-Fu Cao
- National Research Institute for Family Planning, Beijing 100081, PR China
| | - Yan-Rong Cao
- Beijing GIStone Information Technology Co Ltd., Beijing 100101,PR China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing 100081, PR China; Peking Union Medical College, Beijing 100730, PR China.
| | - Bin-Bin Wang
- National Research Institute for Family Planning, Beijing 100081, PR China; Peking Union Medical College, Beijing 100730, PR China.
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120
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Verma P, Sharma A, Sodhi M, Thakur K, Kataria RS, Niranjan SK, Bharti VK, Kumar P, Giri A, Kalia S, Mukesh M. Transcriptome Analysis of Circulating PBMCs to Understand Mechanism of High Altitude Adaptation in Native Cattle of Ladakh Region. Sci Rep 2018; 8:7681. [PMID: 29769561 PMCID: PMC5955995 DOI: 10.1038/s41598-018-25736-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 04/03/2018] [Indexed: 12/19/2022] Open
Abstract
Ladakhi cattle is native population of Leh and Ladakh region and constantly exposed to hypobaric hypoxia over many generations. In present study, transcriptome signatures of cattle from Ladakh region (~5500 m) and Sahiwal cattle from tropical regions were evaluated using Agilent 44 K microarray chip. The top up-regulated genes in Ladakhi cows were INHBC, ITPRI, HECA, ABI3, GPR171, and HIF-1α involved in hypoxia and stress response. In Sahiwal cows, the top up-regulated genes eEF1A1, GRO1, CXCL2, DEFB3 and BOLA-DQA3 were associated with immune function and inflammatory response indicating their strong immune potential to combat the pathogens prevalent in the tropical conditions. The molecular pathways highly impacted were MAPK signaling, ETC, apoptosis, TLR signaling and NF- kB signaling pathway indicating signatures of adaptive evolution of these two cattle types in response to diverse environments. Further, qPCR analysis revealed increased expression of DEGs such as HIF-1, EPAS-1, VEGFA, NOS2, and GLUT-1/SLC2A1 in cattle types from high altitude suggesting their pivotal role in association with high altitude adaptation. Based on data generated, native cattle of Ladakh region was found to be genetically distinct from native cattle adapted to the tropical region of India.
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Affiliation(s)
- Preeti Verma
- Singhania University, Jhunjhunu, Rajasthan, India
| | - Ankita Sharma
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Monika Sodhi
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Kiran Thakur
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Ranjit S Kataria
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | - Saket K Niranjan
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India
| | | | - Prabhat Kumar
- Defence Institute of High Altitude Research, Leh, India
| | - Arup Giri
- Defence Institute of High Altitude Research, Leh, India
| | - Sahil Kalia
- Defence Institute of High Altitude Research, Leh, India
| | - Manishi Mukesh
- ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
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121
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Metabolic adjustment to high-altitude hypoxia: from genetic signals to physiological implications. Biochem Soc Trans 2018; 46:599-607. [PMID: 29678953 DOI: 10.1042/bst20170502] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/24/2018] [Accepted: 03/27/2018] [Indexed: 01/04/2023]
Abstract
Ascent to high altitude is associated with physiological responses that counter the stress of hypobaric hypoxia by increasing oxygen delivery and by altering tissue oxygen utilisation via metabolic modulation. At the cellular level, the transcriptional response to hypoxia is mediated by the hypoxia-inducible factor (HIF) pathway and results in promotion of glycolytic capacity and suppression of oxidative metabolism. In Tibetan highlanders, gene variants encoding components of the HIF pathway have undergone selection and are associated with adaptive phenotypic changes, including suppression of erythropoiesis and increased blood lactate levels. In some highland populations, there has also been a selection of variants in PPARA, encoding peroxisome proliferator-activated receptor alpha (PPARα), a transcriptional regulator of fatty acid metabolism. In one such population, the Sherpas, lower muscle PPARA expression is associated with a decreased capacity for fatty acid oxidation, potentially improving the efficiency of oxygen utilisation. In lowlanders ascending to altitude, a similar suppression of fatty acid oxidation occurs, although the underlying molecular mechanism appears to differ along with the consequences. Unlike lowlanders, Sherpas appear to be protected against oxidative stress and the accumulation of intramuscular lipid intermediates at altitude. Moreover, Sherpas are able to defend muscle ATP and phosphocreatine levels in the face of decreased oxygen delivery, possibly due to suppression of ATP demand pathways. The molecular mechanisms allowing Sherpas to successfully live, work and reproduce at altitude may hold the key to novel therapeutic strategies for the treatment of diseases to which hypoxia is a fundamental contributor.
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Bi J, Hu B, Wang J, Liu X, Zheng J, Wang D, Xiao W. Beluga whale pVHL enhances HIF-2α activity via inducing HIF-2α proteasomal degradation under hypoxia. Oncotarget 2018; 8:42272-42287. [PMID: 28178687 PMCID: PMC5522066 DOI: 10.18632/oncotarget.15038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 01/09/2017] [Indexed: 12/19/2022] Open
Abstract
Aquatic mammals, such as cetaceans experience various depths, with accordingly diverse oxygenation, thus, cetaceans have developed adaptations for hypoxia, but mechanisms underlying this tolerance to low oxygen are unclear. Here we analyzed VHL and HIF-2α, in the hypoxia signaling pathway. Variations in VHL are greater than HIF-2α between cetaceans and terrestrial mammals, and beluga whale VHL (BW-VHL) promotes HIF-2α degradation under hypoxia. BW-VHL catalyzes BW-HIF-2α to form K48-linked poly-ubiquitin chains mainly at the lysine 429 of BW-HIF-2α (K429) and induces BW-HIF-2α for proteasomal degradation. W100 within BW-VHL is a key site for BW-VHL functionally and BW-VHL enhances transcriptional activity of BW-HIF-2α under hypoxia. Our data therefore reveal that BW-VHL has a unique function that may contribute to hypoxic adaptation.
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Affiliation(s)
- Jianling Bi
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Bo Hu
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Jing Wang
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Xing Liu
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Jinsong Zheng
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Ding Wang
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
| | - Wuhan Xiao
- The Key Laboratory of Aquatic Biodiversity and Conservation, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China.,State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, P. R. China
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He Y, Qi X, Ouzhuluobu, Liu S, Li J, Zhang H, Baimakangzhuo, Bai C, Zheng W, Guo Y, Duojizhuoma, Baimayangji, Dejiquzong, Bianba, Gonggalanzi, Pan Y, Qula, Kangmin, Cirenyangji, Guo W, Yangla, Peng Y, Zhang X, Xiang K, Yang Z, Wang L, Gengdeng, Zhang Y, Wu T, Su B, Cui C. Blunted nitric oxide regulation in Tibetans under high-altitude hypoxia. Natl Sci Rev 2018. [DOI: 10.1093/nsr/nwy037] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
ABSTRACT
Nitric oxide (NO) is an important molecule for vasomotor tone, and elevated NO signaling was previously hypothesized as a unique and adaptive physiological change in highland Tibetans. However, there has been lack of NO data from Tibetans living at low altitude and lowlander immigrants living at high altitude, which is crucial to test this hypothesis. Here, through cross-altitude (1990–5018 m) and cross-population (Tibetans and Han Chinese) analyses of serum NO metabolites (NOx) of 2086 individuals, we demonstrate that although Tibetans have a higher serum NOx level compared to lowlanders, Han Chinese immigrants living at high altitude show an even higher level than Tibetans. Consequently, our data contradict the previous proposal of increased NO signaling as the unique adaptive strategy in Tibetans. Instead, Tibetans have a relatively lower circulating NOx level at high altitude. This observation is further supported by data from the hypoxic experiments using human umbilical vein endothelial cells and gene knockout mice. No difference is detected between Tibetans and Han Chinese for endothelial nitric oxide synthase (eNOS), the key enzyme for circulating NO synthesis, suggesting that eNOS itself is unlikely to be the cause. We show that other NO synthesis-related genes (e.g. GCH1) carry Tibetan-enriched mutations significantly associated with the level of circulating NOx in Tibetans. Furthermore, gene network analysis revealed that the downregulation and upregulation of NOx is possibly achieved through distinct pathways. Collectively, our findings provide novel insights into the physiological and genetic mechanisms of the evolutionary adaptation of Tibetans to high-altitude hypoxia.
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Affiliation(s)
- Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing 100101, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Shiming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Jun Li
- Fukang International Medical Examination Center, Fukang Obstetrics, Gynecology and Children Branch Hospital, Tibetan Fukang Hospital, Lhasa 850000, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Baimakangzhuo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Wangshan Zheng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Yongbo Guo
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Duojizhuoma
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Baimayangji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Dejiquzong
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Bianba
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Gonggalanzi
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Yongyue Pan
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Qula
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Kangmin
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Cirenyangji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Wei Guo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Yangla
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
| | - Yi Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Kun Xiang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Zhaohui Yang
- Yunnan Key Laboratory of Primate Biomedicine Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
| | - Liangbang Wang
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Gengdeng
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Yanfeng Zhang
- Fukang International Medical Examination Center, Fukang Obstetrics, Gynecology and Children Branch Hospital, Tibetan Fukang Hospital, Lhasa 850000, China
| | - Tianyi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining 810012, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa 850000, China
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124
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Adaptive Transcriptome Profiling of Subterranean Zokor, Myospalax baileyi, to High- Altitude Stresses in Tibet. Sci Rep 2018; 8:4671. [PMID: 29549310 PMCID: PMC5856782 DOI: 10.1038/s41598-018-22483-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 01/30/2018] [Indexed: 11/20/2022] Open
Abstract
Animals living at high altitudes have evolved distinct phenotypic and genotypic adaptations against stressful environments. We studied the adaptive patterns of altitudinal stresses on transcriptome turnover in subterranean plateau zokors (Myospalax baileyi) in the high-altitude Qinghai-Tibetan Plateau. Transcriptomes of zokors from three populations with distinct altitudes and ecologies (Low: 2846 m, Middle: 3282 m, High: 3,714 m) were sequenced and compared. Phylogenetic and principal component analyses classified them into three divergent altitudinal population clusters. Genetic polymorphisms showed that the population at H, approaching the uppermost species boundary, harbors the highest genetic polymorphism. Moreover, 1056 highly up-regulated UniGenes were identified from M to H. Gene ontologies reveal genes like EPAS1 and COX1 were overexpressed under hypoxia conditions. EPAS1, EGLN1, and COX1 were convergent in high-altitude adaptation against stresses in other species. The fixation indices (FST and GST)-based outlier analysis identified 191 and 211 genes, highly differentiated among L, M, and H. We observed adaptive transcriptome changes in Myospalax baileyi, across a few hundred meters, near the uppermost species boundary, regardless of their relatively stable underground burrows’ microclimate. The highly variant genes identified in Myospalax were involved in hypoxia tolerance, hypercapnia tolerance, ATP-pathway energetics, and temperature changes.
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125
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Guo YB, He YX, Cui CY, Ouzhu L, Baima K, Duoji Z, Deji Q, Bian B, Peng Y, Bai CJ, Gongga L, Pan YY, Qu L, Kang M, Ciren Y, Baima Y, Guo W, Yang L, Zhang H, Zhang XM, Zheng WS, Xu SH, Chen H, Zhao SG, Cai Y, Liu SM, Wu TY, Qi XB, Su B. GCH1 plays a role in the high-altitude adaptation of Tibetans. Zool Res 2018; 38:155-162. [PMID: 28585439 PMCID: PMC5460084 DOI: 10.24272/j.issn.2095-8137.2017.037] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Tibetans are well adapted to high-altitude hypoxia. Previous genome-wide scans have reported many candidate genes for this adaptation, but only a few have been studied. Here we report on a hypoxia gene ( GCH1, GTP-cyclohydrolase I), involved in maintaining nitric oxide synthetase (NOS) function and normal blood pressure, that harbors many potentially adaptive variants in Tibetans. We resequenced an 80.8 kb fragment covering the entire gene region of GCH1 in 50 unrelated Tibetans. Combined with previously published data, we demonstrated many GCH1 variants showing deep divergence between highlander Tibetans and lowlander Han Chinese. Neutrality tests confirmed a signal of positive Darwinian selection on GCH1 in Tibetans. Moreover, association analysis indicated that the Tibetan version of GCH1 was significantly associated with multiple physiological traits in Tibetans, including blood nitric oxide concentration, blood oxygen saturation, and hemoglobin concentration. Taken together, we propose that GCH1 plays a role in the genetic adaptation of Tibetans to high altitude hypoxia.
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Affiliation(s)
- Yong-Bo Guo
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Yao-Xi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China; High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Chao-Ying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Luobu Ouzhu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Kangzhuo Baima
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Zhuoma Duoji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Quzong Deji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Ba Bian
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yi Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Cai-Juan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Lanzi Gongga
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yong-Yue Pan
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | | | - Min Kang
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yangji Ciren
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yangji Baima
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Wei Guo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - la Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Xiao-Ming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Wang-Shan Zheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Shu-Hua Xu
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology(PICB), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 200031, China; Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
| | - Hua Chen
- Center for Computational Genomics, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sheng-Guo Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China
| | - Yuan Cai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China
| | - Shi-Ming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining Qinghai 810012, China
| | - Tian-Yi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining Qinghai 810012, China
| | - Xue-Bin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China.
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China.
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126
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Differentiation analysis for estimating individual ancestry from the Tibetan Plateau by an archaic altitude adaptation EPAS1 haplotype among East Asian populations. Int J Legal Med 2018; 132:1527-1535. [PMID: 29428968 DOI: 10.1007/s00414-018-1789-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
Abstract
Tibetans have adapted to the extreme environment of high altitude for hundreds of generations. A highly differentiated 5-SNP (Single Nucleotide Polymorphism) haplotype motif (AGGAA) on a hypoxic pathway gene, EPAS1, is observed in Tibetans and lowlanders. To evaluate the potential usage of the 5-SNP haplotype in ancestry inference for Tibetan or Tibetan-related populations, we analyzed this haplotype in 1053 individuals of 12 Chinese populations residing on the Tibetan Plateau, peripheral regions of Tibet, and plain regions. These data were integrated with the genotypes from the 1000 Genome populations and populations in a previously reported paper for population structure analyses. We found that populations representing highland and lowland groups have different dominant ancestry components. The core Denisovan haplotype (AGGAA) was observed at a frequency of 72.32% in the Tibetan Plateau, with a frequency range from 9.48 to 21.05% in the peripheral regions and < 2.5% in the plains area. From the individual perspective, 87.57% of the individuals from the Tibetan Plateau carried the archaic haplotype, while < 5% of the Chinese Han people carried the haplotype. Our findings indicate that the 5-SNP haplotype has a special distribution pattern in populations of Tibet and peripheral regions and could be integrated into AISNP (Ancestry Informative Single Nucleotide Polymorphism) panels to enhance ancestry resolution.
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127
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Moore LG. Human Genetic Adaptation to High Altitudes: Current Status and Future Prospects. QUATERNARY INTERNATIONAL : THE JOURNAL OF THE INTERNATIONAL UNION FOR QUATERNARY RESEARCH 2017; 461:4-13. [PMID: 29375239 PMCID: PMC5784843 DOI: 10.1016/j.quaint.2016.09.045] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The question of whether human populations have adapted genetically to high altitude has been of interest since studies began there in the early 1900s. Initially there was debate as to whether genetic adaptation to high altitude has taken place based, in part, on disciplinary orientation and the sources of evidence being considered. Studies centered on short-term responses, termed acclimatization, and the developmental changes occurring across lifetimes. A paradigm shift occurred with the advent of single nucleotide polymorphism (SNP) technologies and statistical methods for detecting evidence of natural selection, resulting in an exponential rise in the number of publications reporting genetic adaptation. Reviewed here are the various kinds of evidence by which adaptation to high altitude has been assessed and which have led to widespread acceptance of the idea that genetic adaptation to high altitude has occurred. While methodological and other challenges remain for determining the specific gene or genes involved and the physiological mechanisms by which they are exerting their effects, considerable progress has been realized as shown by recent studies in Tibetans, Andeans and Ethiopians. Further advances are anticipated with the advent of new statistical methods, whole-genome sequencing and other molecular techniques for finer-scale genetic mapping, and greater intradisciplinary and interdisciplinary collaboration to identify the functional consequences of the genes or gene regions implicated and the time scales involved.
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Affiliation(s)
- Lorna G Moore
- Department of Obstetrics & Gynecology, University of Colorado Denver, Aurora CO (formerly of the Department of Anthropology, University of Colorado Denver, Denver CO)
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128
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Llamas B, Willerslev E, Orlando L. Human evolution: a tale from ancient genomes. Philos Trans R Soc Lond B Biol Sci 2017; 372:rstb.2015.0484. [PMID: 27994125 DOI: 10.1098/rstb.2015.0484] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2016] [Indexed: 12/21/2022] Open
Abstract
The field of human ancient DNA (aDNA) has moved from mitochondrial sequencing that suffered from contamination and provided limited biological insights, to become a fully genomic discipline that is changing our conception of human history. Recent successes include the sequencing of extinct hominins, and true population genomic studies of Bronze Age populations. Among the emerging areas of aDNA research, the analysis of past epigenomes is set to provide more new insights into human adaptation and disease susceptibility through time. Starting as a mere curiosity, ancient human genetics has become a major player in the understanding of our evolutionary history.This article is part of the themed issue 'Evo-devo in the genomics era, and the origins of morphological diversity'.
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Affiliation(s)
- Bastien Llamas
- Australian Centre for ADNA, School of Biological Sciences, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Eske Willerslev
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350 K Copenhagen, Denmark.,Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.,Wellcome Genome Campus Hinxton, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
| | - Ludovic Orlando
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350 K Copenhagen, Denmark .,Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, Université de Toulouse, University Paul Sabatier, CNRS UMR 5288, 31000 Toulouse, France
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129
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Li C, Li X, Liu J, Fan X, You G, Zhao L, Zhou H, Li J, Lei H. Investigation of the differences between the Tibetan and Han populations in the hemoglobin–oxygen affinity of red blood cells and in the adaptation to high-altitude environments. Hematology 2017; 23:309-313. [PMID: 29130390 DOI: 10.1080/10245332.2017.1396046] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Cuiying Li
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
| | - Xiaowei Li
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
| | - Juan Liu
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
| | - Xiu Fan
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
| | - Guoxing You
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing Institute of Transfusion Medicine, Beijing, People’s Republic of China
| | - Lian Zhao
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing Institute of Transfusion Medicine, Beijing, People’s Republic of China
| | - Hong Zhou
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing Institute of Transfusion Medicine, Beijing, People’s Republic of China
| | - Jingqi Li
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
| | - Huifen Lei
- Department of Blood Transfusion, General Hospital of Air Force, Beijing, People’s Republic of China
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130
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Marciniak S, Perry GH. Harnessing ancient genomes to study the history of human adaptation. Nat Rev Genet 2017; 18:659-674. [PMID: 28890534 DOI: 10.1038/nrg.2017.65] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The past several years have witnessed an explosion of successful ancient human genome-sequencing projects, with genomic-scale ancient DNA data sets now available for more than 1,100 ancient human and archaic hominin (for example, Neandertal) individuals. Recent 'evolution in action' analyses have started using these data sets to identify and track the spatiotemporal trajectories of genetic variants associated with human adaptations to novel and changing environments, agricultural lifestyles, and introduced or co-evolving pathogens. Together with evidence of adaptive introgression of genetic variants from archaic hominins to humans and emerging ancient genome data sets for domesticated animals and plants, these studies provide novel insights into human evolution and the evolutionary consequences of human behaviour that go well beyond those that can be obtained from modern genomic data or the fossil and archaeological records alone.
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Affiliation(s)
- Stephanie Marciniak
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - George H Perry
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
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131
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Julian CG. Epigenomics and human adaptation to high altitude. J Appl Physiol (1985) 2017; 123:1362-1370. [PMID: 28819001 PMCID: PMC6157641 DOI: 10.1152/japplphysiol.00351.2017] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/14/2017] [Accepted: 08/14/2017] [Indexed: 12/17/2022] Open
Abstract
Over the past decade, major technological and analytical advancements have propelled efforts toward identifying the molecular mechanisms that govern human adaptation to high altitude. Despite remarkable progress with respect to the identification of adaptive genomic signals that are strongly associated with the "hypoxia-tolerant" physiological characteristics of high-altitude populations, many questions regarding the fundamental biological processes underlying human adaptation remain unanswered. Vital to address these enduring questions will be determining the role of epigenetic processes, or non-sequence-based features of the genome, that are not only critical for the regulation of transcriptional responses to hypoxia but heritable across generations. This review proposes that epigenomic processes are involved in shaping patterns of adaptation to high altitude by influencing adaptive potential and phenotypic variability under conditions of limited oxygen supply. Improved understanding of the interaction between genetic, epigenetic, and environmental factors holds great promise to provide deeper insight into the mechanisms underlying human adaptive potential, and clarify its implications for biomedical research.
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Affiliation(s)
- Colleen G Julian
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Denver, Aurora, Colorado
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132
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Evidence of Early-Stage Selection on EPAS1 and GPR126 Genes in Andean High Altitude Populations. Sci Rep 2017; 7:13042. [PMID: 29026132 PMCID: PMC5638799 DOI: 10.1038/s41598-017-13382-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 09/22/2017] [Indexed: 11/21/2022] Open
Abstract
The aim of this study is to identify genetic variants that harbour signatures of recent positive selection and may facilitate physiological adaptations to hypobaric hypoxia. To achieve this, we conducted whole genome sequencing and lung function tests in 19 Argentinean highlanders (>3500 m) comparing them to 16 Native American lowlanders. We developed a new statistical procedure using a combination of population branch statistics (PBS) and number of segregating sites by length (nSL) to detect beneficial alleles that arose since the settlement of the Andes and are currently present in 15–50% of the population. We identified two missense variants as significant targets of selection. One of these variants, located within the GPR126 gene, has been previously associated with the forced expiratory volume/forced vital capacity ratio. The other novel missense variant mapped to the EPAS1 gene encoding the hypoxia inducible factor 2α. EPAS1 is known to be the major selection candidate gene in Tibetans. The derived allele of GPR126 is associated with lung function in our sample of highlanders (p < 0.05). These variants may contribute to the physiological adaptations to hypobaric hypoxia, possibly by altering lung function. The new statistical approach might be a useful tool to detect selected variants in population studies.
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133
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High-altitude adaptation in humans: from genomics to integrative physiology. J Mol Med (Berl) 2017; 95:1269-1282. [PMID: 28951950 DOI: 10.1007/s00109-017-1584-7] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 08/07/2017] [Accepted: 08/20/2017] [Indexed: 12/19/2022]
Abstract
About 1.2 to 33% of high-altitude populations suffer from Monge's disease or chronic mountain sickness (CMS). Number of factors such as age, sex, and population of origin (older, male, Andean) contribute to the percentage reported from a variety of samples. It is estimated that there are around 83 million people who live at altitudes > 2500 m worldwide and are at risk for CMS. In this review, we focus on a human "experiment in nature" in various high-altitude locations in the world-namely, Andean, Tibetan, and Ethiopian populations that have lived under chronic hypoxia conditions for thousands of years. We discuss the adaptive as well as mal-adaptive changes at the genomic and physiological levels. Although different genes seem to be involved in adaptation in the three populations, we can observe convergence at genetic and signaling, as well as physiological levels. What is important is that we and others have shown that lessons learned from the genes mined at high altitude can be helpful in better understanding and treating diseases that occur at sea level. We discuss two such examples: EDNRB and SENP1 and their role in cardiac tolerance and in the polycythemic response, respectively.
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134
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Gouy A, Daub JT, Excoffier L. Detecting gene subnetworks under selection in biological pathways. Nucleic Acids Res 2017; 45:e149. [PMID: 28934485 PMCID: PMC5766194 DOI: 10.1093/nar/gkx626] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 07/04/2017] [Accepted: 07/10/2017] [Indexed: 12/30/2022] Open
Abstract
Advances in high throughput sequencing technologies have created a gap between data production and functional data analysis. Indeed, phenotypes result from interactions between numerous genes, but traditional methods treat loci independently, missing important knowledge brought by network-level emerging properties. Therefore, detecting selection acting on multiple genes affecting the evolution of complex traits remains challenging. In this context, gene network analysis provides a powerful framework to study the evolution of adaptive traits and facilitates the interpretation of genome-wide data. We developed a method to analyse gene networks that is suitable to evidence polygenic selection. The general idea is to search biological pathways for subnetworks of genes that directly interact with each other and that present unusual evolutionary features. Subnetwork search is a typical combinatorial optimization problem that we solve using a simulated annealing approach. We have applied our methodology to find signals of adaptation to high-altitude in human populations. We show that this adaptation has a clear polygenic basis and is influenced by many genetic components. Our approach, implemented in the R package signet, improves on gene-level classical tests for selection by identifying both new candidate genes and new biological processes involved in adaptation to altitude.
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Affiliation(s)
- Alexandre Gouy
- Institute of Ecology and Evolution, University of Berne, Baltzerstrasse 6, 3012 Berne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Joséphine T. Daub
- Institute of Evolutionary Biology, Universitat Pompeu Fabra – CSIC, 08003 Barcelona, Spain
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Berne, Baltzerstrasse 6, 3012 Berne, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
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135
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Zhang H, He Y, Cui C, Ouzhuluobu, Baimakangzhuo, Duojizhuoma, Dejiquzong, Bianba, Gonggalanzi, Pan Y, Qula, Kangmin, Cirenyangji, Baimayangji, Bai C, Guo W, Yangla, Peng Y, Zhang X, Xiang K, Yang Z, Liu S, Tao X, Gengdeng, Zheng W, Guo Y, Wu T, Qi X, Su B. Cross-altitude analysis suggests a turning point at the elevation of 4,500 m for polycythemia prevalence in Tibetans. Am J Hematol 2017; 92:E552-E554. [PMID: 28589696 DOI: 10.1002/ajh.24809] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 01/26/2023]
Affiliation(s)
- Hui Zhang
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
- Kunming College of Life Science; University of Chinese Academy of Sciences; Beijing 100101 China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Baimakangzhuo
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Duojizhuoma
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Dejiquzong
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Bianba
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Gonggalanzi
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Yongyue Pan
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Qula
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Kangmin
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Cirenyangji
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Baimayangji
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Wei Guo
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Yangla
- High Altitude Medical Research Center, School of Medicine; Tibetan University; Lhasa 850000 China
| | - Yi Peng
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Kun Xiang
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Zhaohui Yang
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Shiming Liu
- National Key Laboratory of High Altitude Medicine; High Altitude Medical Research Institute; Xining 810012 China
| | - Xiang Tao
- National Key Laboratory of High Altitude Medicine; High Altitude Medical Research Institute; Xining 810012 China
| | - Gengdeng
- National Key Laboratory of High Altitude Medicine; High Altitude Medical Research Institute; Xining 810012 China
| | - Wangshan Zheng
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
- College of Animal Science and Technology; Gansu Agricultural University; Lanzhou 730070 China
| | - Yongbo Guo
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
- College of Animal Science and Technology; Gansu Agricultural University; Lanzhou 730070 China
| | - Tianyi Wu
- National Key Laboratory of High Altitude Medicine; High Altitude Medical Research Institute; Xining 810012 China
| | - Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution; Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223 China
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136
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Moore LG. Measuring high-altitude adaptation. J Appl Physiol (1985) 2017; 123:1371-1385. [PMID: 28860167 DOI: 10.1152/japplphysiol.00321.2017] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 08/15/2017] [Accepted: 08/15/2017] [Indexed: 12/12/2022] Open
Abstract
High altitudes (>8,000 ft or 2,500 m) provide an experiment of nature for measuring adaptation and the physiological processes involved. Studies conducted over the past ~25 years in Andeans, Tibetans, and, less often, Ethiopians show varied but distinct O2 transport traits from those of acclimatized newcomers, providing indirect evidence for genetic adaptation to high altitude. Short-term (acclimatization, developmental) and long-term (genetic) responses to high altitude exhibit a temporal gradient such that, although all influence O2 content, the latter also improve O2 delivery and metabolism. Much has been learned concerning the underlying physiological processes, but additional studies are needed on the regulation of blood flow and O2 utilization. Direct evidence of genetic adaptation comes from single-nucleotide polymorphism (SNP)-based genome scans and whole genome sequencing studies that have identified gene regions acted upon by natural selection. Efforts have begun to understand the connections between the two with Andean studies on the genetic factors raising uterine blood flow, fetal growth, and susceptibility to Chronic Mountain Sickness and Tibetan studies on genes serving to lower hemoglobin and pulmonary arterial pressure. Critical for future studies will be the selection of phenotypes with demonstrable effects on reproductive success, the calculation of actual fitness costs, and greater inclusion of women among the subjects being studied. The well-characterized nature of the O2 transport system, the presence of multiple long-resident populations, and relevance for understanding hypoxic disorders in all persons underscore the importance of understanding how evolutionary adaptation to high altitude has occurred.NEW & NOTEWORTHY Variation in O2 transport characteristics among Andean, Tibetan, and, when available, Ethiopian high-altitude residents supports the existence of genetic adaptations that improve the distribution of blood flow to vital organs and the efficiency of O2 utilization. Genome scans and whole genome sequencing studies implicate a broad range of gene regions. Future studies are needed using phenotypes of clear relevance for reproductive success for determining the mechanisms by which naturally selected genes are acting.
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Affiliation(s)
- Lorna G Moore
- Division of Reproductive Sciences, Department of Obstetrics & Gynecology, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado
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137
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Lanikova L, Reading NS, Hu H, Tashi T, Burjanivova T, Shestakova A, Siwakoti B, Thakur BK, Pun CB, Sapkota A, Abdelaziz S, Feng BJ, Huff CD, Hashibe M, Prchal JT. Evolutionary selected Tibetan variants of HIF pathway and risk of lung cancer. Oncotarget 2017; 8:11739-11747. [PMID: 28036300 PMCID: PMC5355300 DOI: 10.18632/oncotarget.14340] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 12/16/2016] [Indexed: 01/09/2023] Open
Abstract
Tibetans existed in high altitude for ~25 thousand years and have evolutionary selected unique haplotypes assumed to be beneficial to hypoxic adaptation. EGLN1/PHD2 and EPAS1/HIF-2α, both crucial components of hypoxia sensing, are the two best-established loci contributing to high altitude adaptation. The co-adapted Tibetan-specific haplotype encoding for PHD2:p.[D4E/C127S] promotes increased HIF degradation under hypoxic conditions. The Tibetan-specific 200 kb EPAS1 haplotype introgressed from an archaic human population related to Denisovans which underwent evolutionary decay; however, the functional variant(s) responsible for high-altitude adaptation at EPAS1/HIF-2α have not yet been identified. Since HIF modulates the behavior of cancer cells, we hypothesized that these Tibetan selected genomic variants may modify cancer risk predisposition. Here, we ascertained the frequencies of EGLN1D4E/C127S and EGLN1C127S variants and ten EPAS1/HIF-2α variants in lung cancer patients and controls in Nepal, whose population consists of people with Indo-Aryan origin and Tibetan-related Mongoloid origin. We observed a significant association between the selected Tibetan EGLN1/PHD2 haplotype and lung cancer (p=0.0012 for D4E, p=0.0002 for C127S), corresponding to a two-fold increase in lung cancer risk. We also observed a two-fold or greater increased risk for two of the ten EPAS1/HIF-2α variants, although the association was not significant after correcting for multiple comparisons (p=0.12). Although these data cannot address the role of these genetic variants on lung cancer initiation or progression, we conclude that some selected Tibetan variants are strongly associated with a modified risk of lung cancer.
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Affiliation(s)
- Lucie Lanikova
- Division of Hematology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Institute of Molecular Genetics, Academy of Sciences, Prague, Czech Republic
| | - N Scott Reading
- Division of Hematology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Hao Hu
- University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
| | - Tsewang Tashi
- Division of Hematology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Tatiana Burjanivova
- Department of Molecular Biology, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Slovak Republic
| | - Anna Shestakova
- Division of Hematology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Bhola Siwakoti
- B.P. Koirala Memorial Cancer Hospital, Bharatpur, Chitwan, Nepal
| | | | - Chin Bahadur Pun
- B.P. Koirala Memorial Cancer Hospital, Bharatpur, Chitwan, Nepal
| | - Amir Sapkota
- Maryland Institute for Applied Environmental Health, and University of Maryland College Park School of Public Health, Maryland, USA
| | - Sarah Abdelaziz
- Division of Public Health, Department of Family & Preventive Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Bing-Jian Feng
- Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Chad D Huff
- University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
| | - Mia Hashibe
- Division of Public Health, Department of Family & Preventive Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Josef T Prchal
- Division of Hematology, University of Utah School of Medicine, Salt Lake City, Utah, USA.,Department of Pathophysiology and 1st Department of Medicine, 1st Faculty of Medicine, Charles University in Prague, Czech Republic
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138
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Shao J, Raza MS, Zhuoma B, Zeng C. Evolutionary significance of selected EDAR variants in Tibetan high-altitude adaptations. SCIENCE CHINA. LIFE SCIENCES 2017; 61:68-78. [PMID: 28795375 DOI: 10.1007/s11427-016-9045-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 04/05/2017] [Indexed: 12/20/2022]
Abstract
Humans have been exposed to many environmental challenges since their evolutionary origins in Africa and subsequent migrations to the rest of the world. A severe environmental challenge to human migrants was hypoxia caused by low barometric oxygen pressure at high altitudes. Several genome-wide scans have elucidated the genetic basis of human high-altitude adaptations. However, the dearth of functional variant information has led to the successful association of only a few candidate genes. In the present study, we employed a candidate gene approach and re-sequenced the EDAR locus in 45 Tibetan individuals to identify mutations involved in hypoxia adaptation. We identified 10 and five quantitative trait-associated mutations for oxygen saturation (SaO2) and blood platelet count, respectively, at the EDAR locus. Among these, rs10865026 and rs3749110 (associated with SaO2 and platelet count, respectively) were identified as functional candidate targets. These data demonstrate that EDAR has undergone natural selection in recent human history and indicate an important role of EDAR variants in Tibetan high-altitude adaptations.
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Affiliation(s)
- Jianming Shao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Muhammad Sohail Raza
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Basang Zhuoma
- Medical College of Tibet University, Lhasa, 850002, China
| | - Changqing Zeng
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,The Innovation Center of Excellence on Science and Education of Life Sciences, Chinese Academy of Sciences, Beijing, 100049, China. .,Collaborative Innovation Center of Genetics and Development, Shanghai, 200438, China.
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139
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Peng Y, Cui C, He Y, Ouzhuluobu, Zhang H, Yang D, Zhang Q, Bianbazhuoma, Yang L, He Y, Xiang K, Zhang X, Bhandari S, Shi P, Yangla, Dejiquzong, Baimakangzhuo, Duojizhuoma, Pan Y, Cirenyangji, Baimayangji, Gonggalanzi, Bai C, Bianba, Basang, Ciwangsangbu, Xu S, Chen H, Liu S, Wu T, Qi X, Su B. Down-Regulation of EPAS1 Transcription and Genetic Adaptation of Tibetans to High-Altitude Hypoxia. Mol Biol Evol 2017; 34:818-830. [PMID: 28096303 PMCID: PMC5400376 DOI: 10.1093/molbev/msw280] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Tibetans are well adapted to the hypoxic environments at high altitude, yet the molecular mechanism of this adaptation remains elusive. We reported comprehensive genetic and functional analyses of EPAS1, a gene encoding hypoxia inducible factor 2α (HIF-2α) with the strongest signal of selection in previous genome-wide scans of Tibetans. We showed that the Tibetan-enriched EPAS1 variants down-regulate expression in human umbilical endothelial cells and placentas. Heterozygous EPAS1 knockout mice display blunted physiological responses to chronic hypoxia, mirroring the situation in Tibetans. Furthermore, we found that the Tibetan version of EPAS1 is not only associated with the relatively low hemoglobin level as a polycythemia protectant, but also is associated with a low pulmonary vasoconstriction response in Tibetans. We propose that the down-regulation of EPAS1 contributes to the molecular basis of Tibetans’ adaption to high-altitude hypoxia.
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Affiliation(s)
- Yi Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Chaoying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Yaoxi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Ouzhuluobu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Deying Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Qu Zhang
- Perspective Sciences, Chongqing, China
| | - Bianbazhuoma
- The Municipal People's Hospital of Lhasa, Lhasa, China
| | - Lixin Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yibo He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Kun Xiang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xiaoming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Sushil Bhandari
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Peng Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yangla
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Dejiquzong
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Baimakangzhuo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Duojizhuoma
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Yongyue Pan
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Cirenyangji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Baimayangji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Gonggalanzi
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Caijuan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Bianba
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
| | - Basang
- People's Hospital of Dangxiong County, Dangxiong, China
| | - Ciwangsangbu
- People's Hospital of Dangxiong County, Dangxiong, China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, China.,Collaborative Innovation Center of Genetics and Development, Shanghai, China
| | - Hua Chen
- Center for Computational Genomics, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Shiming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining, China
| | - Tianyi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining, China
| | - Xuebin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa, China
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140
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vonHoldt B, Fan Z, Ortega-Del Vecchyo D, Wayne RK. EPAS1 variants in high altitude Tibetan wolves were selectively introgressed into highland dogs. PeerJ 2017; 5:e3522. [PMID: 28717592 PMCID: PMC5510585 DOI: 10.7717/peerj.3522] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 06/08/2017] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Admixture can facilitate adaptation. For example, black wolves have obtained the variant causing black coat color through past hybridization with domestic dogs and have higher fitness than gray colored wolves. Another recent example of the transfer of adaptive variation between the two species has been suggested by the similarity between high altitude Tibetan mastiffs and wolves at the EPAS1 gene, a transcription factor induced in low oxygen environments. METHODS Here, we investigate the directionality of admixture in EPAS1 between 28 reference highland gray wolves, 15 reference domestic dogs, and 21 putatively admixed highland wolves. This experimental design represents an expanded sample of Asian dogs and wolves from previous studies. Admixture was inferred using 17,709 publicly available SNP genotypes on canine chromosome 10. We additionally conducted a scan for positive selection in the highland dog genome. RESULTS We find an excess of highland gray wolf ancestry at the EPAS1 locus in highland domestic dogs, suggesting adaptive introgression from wolves to dogs. The signal of admixture is limited in genomic extent to a small region on chromosome 10, indicating that it is the focus of selection in an oxygen-limited environment. DISCUSSION Our results suggest that an adaptive variant of EPAS1 in highland wolves was transferred to highland dogs, carrying linked variants that potentially function in hypoxia response at high elevation. The intertwined history of dogs and wolves ensures a unique evolutionary dynamic where variants that have appeared in the history of either species can be tested for their effects on fitness under natural and artificial selection. Such coupled evolutionary histories may be key to the persistence of wild canines and their domesticated kin given the increasing anthropogenic modifications that characterize the future of both species.
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Affiliation(s)
- Bridgett vonHoldt
- Ecology & Evolutionary Biology, Princeton University, Princeton, NJ, United States of America
| | - Zhenxin Fan
- College of Life Sciences, Sichuan University, Chengdu, China
| | - Diego Ortega-Del Vecchyo
- Department of Integrative Biology, University of California, Berkeley, CA, United States of America
| | - Robert K Wayne
- Ecology & Evolutionary Biology, University of California, Los Angeles, CA, United States of America
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141
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Herawati M, Wardaya, Mulyawan W, Farhan FS, Ferdinal F, Jusman SWA, Sadikin M. Expression of Hypoxia-Inducible Factor-1α and Myoglobin in Rat Heart as Adaptive Response to Intermittent Hypobaric Hypoxia Exposure. HAYATI JOURNAL OF BIOSCIENCES 2017. [DOI: 10.1016/j.hjb.2017.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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142
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Zhang C, Lu Y, Feng Q, Wang X, Lou H, Liu J, Ning Z, Yuan K, Wang Y, Zhou Y, Deng L, Liu L, Yang Y, Li S, Ma L, Zhang Z, Jin L, Su B, Kang L, Xu S. Differentiated demographic histories and local adaptations between Sherpas and Tibetans. Genome Biol 2017; 18:115. [PMID: 28619099 PMCID: PMC5472941 DOI: 10.1186/s13059-017-1242-y] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 05/22/2017] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The genetic relationships reported by recent studies between Sherpas and Tibetans are controversial. To gain insights into the population history and the genetic basis of high-altitude adaptation of the two groups, we analyzed genome-wide data in 111 Sherpas (Tibet and Nepal) and 177 Tibetans (Tibet and Qinghai), together with available data from present-day human populations. RESULTS Sherpas and Tibetans show considerable genetic differences and can be distinguished as two distinct groups, even though the divergence between them (~3200-11,300 years ago) is much later than that between Han Chinese and either of the two groups (~6200-16,000 years ago). Sub-population structures exist in both Sherpas and Tibetans, corresponding to geographical or linguistic groups. Differentiation of genetic variants between Sherpas and Tibetans associated with adaptation to either high-altitude or ultraviolet radiation were identified and validated by genotyping additional Sherpa and Tibetan samples. CONCLUSIONS Our analyses indicate that both Sherpas and Tibetans are admixed populations, but the findings do not support the previous hypothesis that Tibetans derive their ancestry from Sherpas and Han Chinese. Compared to Tibetans, Sherpas show higher levels of South Asian ancestry, while Tibetans show higher levels of East Asian and Central Asian/Siberian ancestry. We propose a new model to elucidate the differentiated demographic histories and local adaptations of Sherpas and Tibetans.
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Affiliation(s)
- Chao Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yan Lu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China
| | - Qidi Feng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoji Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Haiyi Lou
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China
| | - Jiaojiao Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Zhilin Ning
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kai Yuan
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuchen Wang
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ying Zhou
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lian Deng
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lijun Liu
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China
| | - Yajun Yang
- State Key Laboratory of Genetic Engineering and Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Shilin Li
- State Key Laboratory of Genetic Engineering and Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Lifeng Ma
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China
| | - Zhiying Zhang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and Ministry of Education (MOE) Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Longli Kang
- Key Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China
| | - Shuhua Xu
- Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology (PICB), Shanghai Institutes for Biological Sciences, CAS, Shanghai, 200031, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China. .,School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China. .,Collaborative Innovation Center of Genetics and Development, Shanghai, 200438, China.
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143
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Wallberg A, Schöning C, Webster MT, Hasselmann M. Two extended haplotype blocks are associated with adaptation to high altitude habitats in East African honey bees. PLoS Genet 2017; 13:e1006792. [PMID: 28542163 PMCID: PMC5444601 DOI: 10.1371/journal.pgen.1006792] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 05/01/2017] [Indexed: 01/14/2023] Open
Abstract
Understanding the genetic basis of adaption is a central task in biology. Populations of the honey bee Apis mellifera that inhabit the mountain forests of East Africa differ in behavior and morphology from those inhabiting the surrounding lowland savannahs, which likely reflects adaptation to these habitats. We performed whole genome sequencing on 39 samples of highland and lowland bees from two pairs of populations to determine their evolutionary affinities and identify the genetic basis of these putative adaptations. We find that in general, levels of genetic differentiation between highland and lowland populations are very low, consistent with them being a single panmictic population. However, we identify two loci on chromosomes 7 and 9, each several hundred kilobases in length, which exhibit near fixation for different haplotypes between highland and lowland populations. The highland haplotypes at these loci are extremely rare in samples from the rest of the world. Patterns of segregation of genetic variants suggest that recombination between haplotypes at each locus is suppressed, indicating that they comprise independent structural variants. The haplotype on chromosome 7 harbors nearly all octopamine receptor genes in the honey bee genome. These have a role in learning and foraging behavior in honey bees and are strong candidates for adaptation to highland habitats. Molecular analysis of a putative breakpoint indicates that it may disrupt the coding sequence of one of these genes. Divergence between the highland and lowland haplotypes at both loci is extremely high suggesting that they are ancient balanced polymorphisms that greatly predate divergence between the extant honey bee subspecies. Identifying the genes and genetic changes responsible for environmental adaptation is an important step towards understanding how species evolve. The honey bee Apis mellifera has adapted to a variety of habitats across its worldwide geographical distribution. Here we aim to identify the genetic basis of adaptation in honey bees living at high altitudes in the mountains of East Africa, which differ in appearance and behavior from their lowland relatives. We compare whole genome sequences from highland and lowland populations and find that, although in general they are extremely similar, there are two specific chromosomal regions (representing 1.4% of the genome) where they are strongly differentiated. These regions appear to represent structural rearrangements that are strongly correlated with altitude and contain many genes. One of these genomic regions harbors a set of octopamine receptor genes, which we hypothesize regulate differences in learning and foraging behavior between highland and lowland bees. The extremely high divergence between highland and lowland genetic variants in these regions indicates that they have an ancient origin and were likely to have been involved in environmental adaptation even before honey bees came to inhabit their current range.
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Affiliation(s)
- Andreas Wallberg
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Matthew T. Webster
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- * E-mail: (MTW); (MH)
| | - Martin Hasselmann
- Department of Livestock Population Genomics, Institute of Animal Science, University of Hohenheim, Stuttgart, Germany
- * E-mail: (MTW); (MH)
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144
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Abstract
The Himalayan Sherpas, a human population of Tibetan descent, are highly adapted to life in the hypobaric hypoxia of high altitude. Mechanisms involving enhanced tissue oxygen delivery in comparison to Lowlander populations have been postulated to play a role in such adaptation. Whether differences in tissue oxygen utilization (i.e., metabolic adaptation) underpin this adaptation is not known, however. We sought to address this issue, applying parallel molecular, biochemical, physiological, and genetic approaches to the study of Sherpas and native Lowlanders, studied before and during exposure to hypobaric hypoxia on a gradual ascent to Mount Everest Base Camp (5,300 m). Compared with Lowlanders, Sherpas demonstrated a lower capacity for fatty acid oxidation in skeletal muscle biopsies, along with enhanced efficiency of oxygen utilization, improved muscle energetics, and protection against oxidative stress. This adaptation appeared to be related, in part, to a putatively advantageous allele for the peroxisome proliferator-activated receptor A (PPARA) gene, which was enriched in the Sherpas compared with the Lowlanders. Our findings suggest that metabolic adaptations underpin human evolution to life at high altitude, and could have an impact upon our understanding of human diseases in which hypoxia is a feature.
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145
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Zheng WS, He YX, Cui CY, Ouzhu L, Deji Q, Peng Y, Bai CJ, Duoji Z, Gongga L, Bian B, Baima K, Pan YY, Qu L, Kang M, Ciren Y, Baima Y, Guo W, Yang L, Zhang H, Zhang XM, Guo YB, Xu SH, Chen H, Zhao SG, Cai Y, Liu SM, Wu TY, Qi XB, Su B. EP300 contributes to high-altitude adaptation in Tibetans by regulating nitric oxide production. Zool Res 2017; 38:163-170. [PMID: 28585440 PMCID: PMC5460085 DOI: 10.24272/j.issn.2095-8137.2017.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The genetic adaptation of Tibetans to high altitude hypoxia likely involves a group of genes in the hypoxic pathway, as suggested by earlier studies. To test the adaptive role of the previously reported candidate gene EP300 (histone acetyltransferase p300), we conducted resequencing of a 108.9 kb gene region of EP300 in 80 unrelated Tibetans. The allele-frequency and haplotype-based neutrality tests detected signals of positive Darwinian selection on EP300 in Tibetans, with a group of variants showing allelic divergence between Tibetans and lowland reference populations, including Han Chinese, Europeans, and Africans. Functional prediction suggested the involvement of multiple EP300 variants in gene expression regulation. More importantly, genetic association tests in 226 Tibetans indicated significant correlation of the adaptive EP300 variants with blood nitric oxide (NO) concentration. Collectively, we propose that EP300 harbors adaptive variants in Tibetans, which might contribute to high-altitude adaptation through regulating NO production.
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Affiliation(s)
- Wang-Shan Zheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Yao-Xi He
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China; Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming Yunnan 650204, China
| | - Chao-Ying Cui
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Luobu Ouzhu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Quzong Deji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yi Peng
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Cai-Juan Bai
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Zhuoma Duoji
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Lanzi Gongga
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Ba Bian
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Kangzhuo Baima
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yong-Yue Pan
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - la Qu
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Min Kang
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yangji Ciren
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Yangji Baima
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Wei Guo
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - la Yang
- High Altitude Medical Research Center, School of Medicine, Tibetan University, Lhasa Tibet 850000, China
| | - Hui Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Xiao-Ming Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Yong-Bo Guo
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China
| | - Shu-Hua Xu
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 200031, China; Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
| | - Hua Chen
- Center for Computational Genomics, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
| | - Sheng-Guo Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China
| | - Yuan Cai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China
| | - Shi-Ming Liu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining Qinghai 810012, China
| | - Tian-Yi Wu
- National Key Laboratory of High Altitude Medicine, High Altitude Medical Research Institute, Xining Qinghai 810012, China
| | - Xue-Bin Qi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China.
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming Yunnan 650223, China.
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146
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Cho JI, Basnyat B, Jeong C, Di Rienzo A, Childs G, Craig SR, Sun J, Beall CM. Ethnically Tibetan women in Nepal with low hemoglobin concentration have better reproductive outcomes. EVOLUTION MEDICINE AND PUBLIC HEALTH 2017; 2017:82-96. [PMID: 28567284 PMCID: PMC5442430 DOI: 10.1093/emph/eox008] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 03/12/2017] [Indexed: 12/24/2022]
Abstract
Background and objectives: Tibetans have distinctively low hemoglobin concentrations at high altitudes compared with visitors and Andean highlanders. This study hypothesized that natural selection favors an unelevated hemoglobin concentration among Tibetans. It considered nonheritable sociocultural factors affecting reproductive success and tested the hypotheses that a higher percent of oxygen saturation of hemoglobin (indicating less stress) or lower hemoglobin concentration (indicating dampened response) associated with higher lifetime reproductive success. Methodology: We sampled 1006 post-reproductive ethnically Tibetan women residing at 3000–4100 m in Nepal. We collected reproductive histories by interviews in native dialects and noninvasive physiological measurements. Regression analyses selected influential covariates of measures of reproductive success: the numbers of pregnancies, live births and children surviving to age 15. Results: Taking factors such as marriage status, age of first birth and access to health care into account, we found a higher percent of oxygen saturation associated weakly and an unelevated hemoglobin concentration associated strongly with better reproductive success. Women who lost all their pregnancies or all their live births had hemoglobin concentrations significantly higher than the sample mean. Elevated hemoglobin concentration associated with a lower probability a pregnancy progressed to a live birth. Conclusions and implications: These findings are consistent with the hypothesis that unelevated hemoglobin concentration is an adaptation shaped by natural selection resulting in the relatively low hemoglobin concentration of Tibetans compared with visitors and Andean highlanders.
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Affiliation(s)
- Jang Ik Cho
- Department of Epidemiology and Biostatistics, Case Western Reserve University, School of Medicine, Cleveland, OH 44109, USA
| | - Buddha Basnyat
- Patan Hospital, Oxford University Clinical Research Unit-Nepal, Kathmandu, Nepal and Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Choongwon Jeong
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Anna Di Rienzo
- Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
| | - Geoff Childs
- Department of Anthropology, Washington University, St. Louis, MO 63130, USA
| | - Sienna R Craig
- Department of Anthropology, Dartmouth College, Hanover, NH 03755, USA
| | - Jiayang Sun
- Department of Epidemiology and Biostatistics, Case Western Reserve University, School of Medicine, Cleveland, OH 44109, USA
| | - Cynthia M Beall
- Department of Anthropology, Case Western Reserve University, Cleveland, OH 44106, USA
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147
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Genetic Adaptation of Schizothoracine Fish to the Phased Uplifting of the Qinghai-Tibetan Plateau. G3-GENES GENOMES GENETICS 2017; 7:1267-1276. [PMID: 28209761 PMCID: PMC5386875 DOI: 10.1534/g3.116.038406] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Many species of Schizothoracine, a subfamily of Cyprinidae, are highly endemic to the Qinghai–Tibetan Plateau (QTP). To characterize the adaptive changes associated with the Schizothoracine expansion at high altitudes, we sequenced tissue transcriptomes of two highland and two subhighland Schizothoracines and analyzed gene evolution patterns by comparing with lowland cyprinids. Phylogenetic tree reconstruction and divergence time estimation indicated that the common ancestor of Schizothoracine fish lived ∼32.7 million years ago (MYA), coinciding with the timing of the first phase of QTP uplifting. Both high- and subhigh-Schizothoracines demonstrated elevated dN/dS ratios in the protein-coding genes compared to lowland cyprinids, from which some biological processes implicated in altitude adaptation were commonly identified. On the other hand, the highland and subhighland lineages presented drastically divergent landscapes of positively selected genes (PSGs), enriched with very different gene ontology (GO) profiles, including those in “sensory organ morphogenesis,” “regulation of protein ubiquitination,” “blood circulation,” and “blood vessel development.” These results indicated different selection pressures imposed on the highland and subhighland lineages of the Schizothoracine subfamily, with a higher number of genes in the high-altitude species involved in adaptations such as sensory perception, blood circulation, and protein metabolism. Our study indicated divergent genetic adaptations in the aquatic species facing the phased uplifting of QTP.
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148
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Abstract
Indigenous Tibetan people have lived on the Tibetan Plateau for millennia. There is a long-standing question about the genetic basis of high-altitude adaptation in Tibetans. We conduct a genome-wide study of 7.3 million genotyped and imputed SNPs of 3,008 Tibetans and 7,287 non-Tibetan individuals of Eastern Asian ancestry. Using this large dataset, we detect signals of high-altitude adaptation at nine genomic loci, of which seven are unique. The alleles under natural selection at two of these loci [methylenetetrahydrofolate reductase (MTHFR) and EPAS1] are strongly associated with blood-related phenotypes, such as hemoglobin, homocysteine, and folate in Tibetans. The folate-increasing allele of rs1801133 at the MTHFR locus has an increased frequency in Tibetans more than expected under a drift model, which is probably a consequence of adaptation to high UV radiation. These findings provide important insights into understanding the genomic consequences of high-altitude adaptation in Tibetans.
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149
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Quach H, Quintana-Murci L. Living in an adaptive world: Genomic dissection of the genus Homo and its immune response. J Exp Med 2017; 214:877-894. [PMID: 28351985 PMCID: PMC5379985 DOI: 10.1084/jem.20161942] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Revised: 02/14/2017] [Accepted: 03/06/2017] [Indexed: 12/14/2022] Open
Abstract
More than a decade after the sequencing of the human genome, a deluge of genome-wide population data are generating a portrait of human genetic diversity at an unprecedented level of resolution. Genomic studies have provided new insight into the demographic and adaptive history of our species, Homo sapiens, including its interbreeding with other hominins, such as Neanderthals, and the ways in which natural selection, in its various guises, has shaped genome diversity. These studies, combined with functional genomic approaches, such as the mapping of expression quantitative trait loci, have helped to identify genes, functions, and mechanisms of prime importance for host survival and involved in phenotypic variation and differences in disease risk. This review summarizes new findings in this rapidly developing field, focusing on the human immune response. We discuss the importance of defining the genetic and evolutionary determinants driving immune response variation, and highlight the added value of population genomic approaches in settings relevant to immunity and infection.
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Affiliation(s)
- Hélène Quach
- Human Evolutionary Genetics Unit, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France.,Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015 Paris, France.,Centre National de la Recherche Scientifique, URA3012, 75015 Paris, France
| | - Lluis Quintana-Murci
- Human Evolutionary Genetics Unit, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France .,Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015 Paris, France.,Centre National de la Recherche Scientifique, URA3012, 75015 Paris, France
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150
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Padhy G, Gangwar A, Sharma M, Bhargava K, Sethy NK. Plasma Proteomics of Ladakhi Natives Reveal Functional Regulation Between Renin–Angiotensin System and eNOS–cGMP Pathway. High Alt Med Biol 2017; 18:27-36. [DOI: 10.1089/ham.2016.0012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Affiliation(s)
- Gayatri Padhy
- Peptide and Proteomics Division, Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Timarpur, Delhi, India
| | - Anamika Gangwar
- Peptide and Proteomics Division, Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Timarpur, Delhi, India
| | - Manish Sharma
- Peptide and Proteomics Division, Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Timarpur, Delhi, India
| | - Kalpana Bhargava
- Peptide and Proteomics Division, Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Timarpur, Delhi, India
| | - Niroj Kumar Sethy
- Peptide and Proteomics Division, Defence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Timarpur, Delhi, India
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