Literature DB >> 10721618

Tibetan and Andean patterns of adaptation to high-altitude hypoxia.

C M Beall1.   

Abstract

Understanding the workings of the evolutionary process in contemporary humans requires linking the evolutionary history of traits with their current genetics and biology. Unusual environments provide natural experimental settings to investigate evolution and adaptation. The example of high-altitude hypoxia illustrates some of the progress and many of the remaining challenges for studies of evolution in contemporary populations. Current studies exemplify the frequently encountered problem of determining whether large, consistent population differences in mean values of a trait reflect genetic differences. In this review I describe 4 quantitative traits that provide evidence that indigenous populations of the Tibetan and Andean plateaus differ in their phenotypic adaptive responses to high-altitude hypoxia. These 4 traits are resting ventilation, hypoxic ventilatory response, oxygen saturation, and hemoglobin concentration. The Tibetan means of the first 2 traits were more than 0.5 standard deviation higher than the Aymara means, whereas the Tibetan means were more than 1 standard deviation lower than the Aymara means for the last 2 traits. Quantitative genetic analyses of within-population variance revealed significant genetic variance in all 4 traits in the Tibetan population but only in hypoxic ventilatory response and hemoglobin concentration in the Aymara population. A major gene for oxygen saturation was detected among the Tibetans. These findings are interpreted as indirect evidence of population genetic differences. It appears that the biological characteristics of sea-level humans did not constrain high-altitude colonists of the 2 plateaus to a single adaptive response. Instead, microevolutionary processes may have operated differently in the geographically separated Tibetan and Andean populations exposed to the same environmental stress. Knowledge of the genetic bases of these traits will be necessary to evaluate these inferences. Future research will likely be directed toward determining whether the population means reflect differences identified at the chromosomal level. Future research will also likely consider the biological pathways and environmental influences linking genotypes to phenotypes, the costs and benefits of the Tibetan and Andean patterns of adaptation, and the question of whether the observed phenotypes are indeed adaptations that enhance Darwinian fitness.

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Year:  2000        PMID: 10721618

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  28 in total

1.  Incorporating inheritance into models for understanding ventilatory behavior.

Authors:  K P Strohl; S Subramanian; F Han; K Principe; T E Dick
Journal:  Sleep Breath       Date:  2001       Impact factor: 2.816

Review 2.  Genetic determinants of Tibetan high-altitude adaptation.

Authors:  Tatum S Simonson; Donald A McClain; Lynn B Jorde; Josef T Prchal
Journal:  Hum Genet       Date:  2011-11-09       Impact factor: 4.132

3.  Reexamination of hemoglobin adjustments to define anemia: altitude and smoking.

Authors:  Andrea J Sharma; O Yaw Addo; Zuguo Mei; Parminder S Suchdev
Journal:  Ann N Y Acad Sci       Date:  2019-06-23       Impact factor: 5.691

4.  Whole-genome sequencing uncovers the genetic basis of chronic mountain sickness in Andean highlanders.

Authors:  Dan Zhou; Nitin Udpa; Roy Ronen; Tsering Stobdan; Junbin Liang; Otto Appenzeller; Huiwen W Zhao; Yi Yin; Yuanping Du; Lixia Guo; Rui Cao; Yu Wang; Xin Jin; Chen Huang; Wenlong Jia; Dandan Cao; Guangwu Guo; Jorge L Gamboa; Francisco Villafuerte; David Callacondo; Jin Xue; Siqi Liu; Kelly A Frazer; Yingrui Li; Vineet Bafna; Gabriel G Haddad
Journal:  Am J Hum Genet       Date:  2013-08-15       Impact factor: 11.025

Review 5.  Altitude Adaptation: A Glimpse Through Various Lenses.

Authors:  Tatum S Simonson
Journal:  High Alt Med Biol       Date:  2015-06       Impact factor: 1.981

6.  Multiple across-strain and within-strain QTLs suggest highly complex genetic architecture for hypoxia tolerance in channel catfish.

Authors:  Xiaozhu Wang; Shikai Liu; Chen Jiang; Xin Geng; Tao Zhou; Ning Li; Lisui Bao; Yun Li; Jun Yao; Yujia Yang; Xiaoxiao Zhong; Yulin Jin; Rex Dunham; Zhanjiang Liu
Journal:  Mol Genet Genomics       Date:  2016-10-12       Impact factor: 3.291

7.  Genome-Wide QTL Analysis Identified Significant Associations Between Hypoxia Tolerance and Mutations in the GPR132 and ABCG4 Genes in Nile Tilapia.

Authors:  Hong Lian Li; Xiao Hui Gu; Bi Jun Li; Chao Hao Chen; Hao Ran Lin; Jun Hong Xia
Journal:  Mar Biotechnol (NY)       Date:  2017-07-11       Impact factor: 3.619

Review 8.  Human adaptation to extreme environmental conditions.

Authors:  Melissa Ilardo; Rasmus Nielsen
Journal:  Curr Opin Genet Dev       Date:  2018-08-01       Impact factor: 5.578

9.  Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data.

Authors:  Abigail Bigham; Marc Bauchet; Dalila Pinto; Xianyun Mao; Joshua M Akey; Rui Mei; Stephen W Scherer; Colleen G Julian; Megan J Wilson; David López Herráez; Tom Brutsaert; Esteban J Parra; Lorna G Moore; Mark D Shriver
Journal:  PLoS Genet       Date:  2010-09-09       Impact factor: 5.917

Review 10.  Lung Circulation.

Authors:  Karthik Suresh; Larissa A Shimoda
Journal:  Compr Physiol       Date:  2016-03-15       Impact factor: 9.090

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