Abstract

Physiological and haplogroup studies performed to understand high-altitude adaptation in humans are limited to individual genes and polymorphic sites. Due to stochastic evolutionary forces, the frequency of a polymorphism is affected by changes in the frequency of a near-by polymorphism on the same DNA sample making them connected in terms of evolution. Here, first, we provide a method to model these mitochondrial polymorphisms as “co-mutation networks” for three high-altitude populations, Tibetan, Ethiopian and Andean. Then, by transforming these co-mutation networks into weighted and undirected gene–gene interaction (GGI) networks, we were able to identify functionally enriched genetic interactions of CYB and CO3 genes in Tibetan and Andean populations, while NADH dehydrogenase genes in the Ethiopian population playing a significant role in high altitude adaptation. These co-mutation based genetic networks provide insights into the role of different set of genes in high-altitude adaptation in human sub-populations.

Details

Title
Role of mitochondrial genetic interactions in determining adaptation to high altitude human population
Author
Verma, Rahul K 1 ; Kalyakulina Alena 2 ; Mishra Ankit 3 ; Ivanchenko Mikhail 4 ; Jalan Sarika 5 

 Indian Institute of Technology Indore, Department of Biosciences and Biomedical Engineering, Indore, India (GRID:grid.450280.b) (ISNI:0000 0004 1769 7721) 
 Lobachevsky State University of Nizhny Novgorod, Department of Applied Mathematics and Centre of Bioinformatics, Nizhny Novgorod, Russia (GRID:grid.28171.3d) (ISNI:0000 0001 0344 908X) 
 Indian Institute of Technology Indore, Complex Systems Lab, Department of Physics, Indore, India (GRID:grid.450280.b) (ISNI:0000 0004 1769 7721) 
 Lobachevsky State University of Nizhny Novgorod, Department of Applied Mathematics and Centre of Bioinformatics, Nizhny Novgorod, Russia (GRID:grid.28171.3d) (ISNI:0000 0001 0344 908X); Lobachevsky University, Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Nizhny Novgorod, Russia (GRID:grid.28171.3d) (ISNI:0000 0001 0344 908X) 
 Indian Institute of Technology Indore, Department of Biosciences and Biomedical Engineering, Indore, India (GRID:grid.450280.b) (ISNI:0000 0004 1769 7721); Indian Institute of Technology Indore, Complex Systems Lab, Department of Physics, Indore, India (GRID:grid.450280.b) (ISNI:0000 0004 1769 7721) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2626120994
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.