Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes
Abstract Networks have been established as an extremely powerful framework to understand and predict the behavior of many large-scale complex systems. We studied network motifs, the basic structural elements of networks, to describe the possible role of co-occurrence of genomic variations behind hig...
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doaj-d4261b2a219b40f0b1aacfabbc206df02021-01-10T12:47:01ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111610.1038/s41598-020-80271-8Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudesRahul K. Verma0Alena Kalyakulina1Cristina Giuliani2Pramod Shinde3Ajay Deep Kachhvah4Mikhail Ivanchenko5Sarika Jalan6Department of Biosciences and Biomedical Engineering, Indian Institute of Technology IndoreDepartment of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny NovgorodLaboratory of Molecular Anthropology & Center for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of BolognaDivision of Vaccine Discovery, La Jolla Institute for ImmunologyComplex Systems Lab, Department of Physics, Indian Institute of Technology IndoreDepartment of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny NovgorodDepartment of Biosciences and Biomedical Engineering, Indian Institute of Technology IndoreAbstract Networks have been established as an extremely powerful framework to understand and predict the behavior of many large-scale complex systems. We studied network motifs, the basic structural elements of networks, to describe the possible role of co-occurrence of genomic variations behind high altitude adaptation in the Asian human population. Mitochondrial DNA (mtDNA) variations have been acclaimed as one of the key players in understanding the biological mechanisms behind adaptation to extreme conditions. To explore the cumulative effects of variations in the mitochondrial genome with the variation in the altitude, we investigated human mt-DNA sequences from the NCBI database at different altitudes under the co-occurrence motifs framework. Analysis of the co-occurrence motifs using similarity clustering revealed a clear distinction between lower and higher altitude regions. In addition, the previously known high altitude markers 3394 and 7697 (which are definitive sites of haplogroup M9a1a1c1b) were found to co-occur within their own gene complexes indicating the impact of intra-genic constraint on co-evolution of nucleotides. Furthermore, an ancestral ‘RSRS50’ variant 10,398 was found to co-occur only at higher altitudes supporting the fact that a separate route of colonization at these altitudes might have taken place. Overall, our analysis revealed the presence of co-occurrence interactions specific to high altitude at a whole mitochondrial genome level. This study, combined with the classical haplogroups analysis is useful in understanding the role of co-occurrence of mitochondrial variations in high altitude adaptation.https://doi.org/10.1038/s41598-020-80271-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rahul K. Verma Alena Kalyakulina Cristina Giuliani Pramod Shinde Ajay Deep Kachhvah Mikhail Ivanchenko Sarika Jalan |
spellingShingle |
Rahul K. Verma Alena Kalyakulina Cristina Giuliani Pramod Shinde Ajay Deep Kachhvah Mikhail Ivanchenko Sarika Jalan Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes Scientific Reports |
author_facet |
Rahul K. Verma Alena Kalyakulina Cristina Giuliani Pramod Shinde Ajay Deep Kachhvah Mikhail Ivanchenko Sarika Jalan |
author_sort |
Rahul K. Verma |
title |
Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes |
title_short |
Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes |
title_full |
Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes |
title_fullStr |
Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes |
title_full_unstemmed |
Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes |
title_sort |
analysis of human mitochondrial genome co-occurrence networks of asian population at varying altitudes |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-01-01 |
description |
Abstract Networks have been established as an extremely powerful framework to understand and predict the behavior of many large-scale complex systems. We studied network motifs, the basic structural elements of networks, to describe the possible role of co-occurrence of genomic variations behind high altitude adaptation in the Asian human population. Mitochondrial DNA (mtDNA) variations have been acclaimed as one of the key players in understanding the biological mechanisms behind adaptation to extreme conditions. To explore the cumulative effects of variations in the mitochondrial genome with the variation in the altitude, we investigated human mt-DNA sequences from the NCBI database at different altitudes under the co-occurrence motifs framework. Analysis of the co-occurrence motifs using similarity clustering revealed a clear distinction between lower and higher altitude regions. In addition, the previously known high altitude markers 3394 and 7697 (which are definitive sites of haplogroup M9a1a1c1b) were found to co-occur within their own gene complexes indicating the impact of intra-genic constraint on co-evolution of nucleotides. Furthermore, an ancestral ‘RSRS50’ variant 10,398 was found to co-occur only at higher altitudes supporting the fact that a separate route of colonization at these altitudes might have taken place. Overall, our analysis revealed the presence of co-occurrence interactions specific to high altitude at a whole mitochondrial genome level. This study, combined with the classical haplogroups analysis is useful in understanding the role of co-occurrence of mitochondrial variations in high altitude adaptation. |
url |
https://doi.org/10.1038/s41598-020-80271-8 |
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