Literature DB >> 33420243

Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes.

Rahul K Verma1, Alena Kalyakulina2, Cristina Giuliani3, Pramod Shinde4, Ajay Deep Kachhvah5, Mikhail Ivanchenko2,6, Sarika Jalan7,8,9,10.   

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.

Entities:  

Year:  2021        PMID: 33420243      PMCID: PMC7794584          DOI: 10.1038/s41598-020-80271-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  47 in total

1.  Mitochondrial DNA diversity in indigenous populations of the southern extent of Siberia, and the origins of Native American haplogroups.

Authors:  Elena B Starikovskaya; Rem I Sukernik; Olga A Derbeneva; Natalia V Volodko; Eduardo Ruiz-Pesini; Antonio Torroni; Michael D Brown; Marie T Lott; Seyed H Hosseini; Kirsi Huoponen; Douglas C Wallace
Journal:  Ann Hum Genet       Date:  2005-01       Impact factor: 1.670

2.  Finding community structure in very large networks.

Authors:  Aaron Clauset; M E J Newman; Cristopher Moore
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-12-06

3.  Coupled feedback loops form dynamic motifs of cellular networks.

Authors:  Jeong-Rae Kim; Yeoin Yoon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-10-19       Impact factor: 4.033

Review 4.  General introduction to altitude adaptation and mountain sickness.

Authors:  P Bärtsch; B Saltin
Journal:  Scand J Med Sci Sports       Date:  2008-08       Impact factor: 4.221

Review 5.  ABC of oxygen: oxygen at high altitude.

Authors:  A J Peacock
Journal:  BMJ       Date:  1998-10-17

6.  The mitochondrial-derived peptide MOTS-c promotes metabolic homeostasis and reduces obesity and insulin resistance.

Authors:  Changhan Lee; Jennifer Zeng; Brian G Drew; Tamer Sallam; Alejandro Martin-Montalvo; Junxiang Wan; Su-Jeong Kim; Hemal Mehta; Andrea L Hevener; Rafael de Cabo; Pinchas Cohen
Journal:  Cell Metab       Date:  2015-03-03       Impact factor: 27.287

7.  Networks of genomic co-occurrence capture characteristics of human influenza A (H3N2) evolution.

Authors:  Xiangjun Du; Zhuo Wang; Aiping Wu; Lin Song; Yang Cao; Haiying Hang; Taijiao Jiang
Journal:  Genome Res       Date:  2007-11-21       Impact factor: 9.043

8.  Transversions have larger regulatory effects than transitions.

Authors:  Cong Guo; Ian C McDowell; Michael Nodzenski; Denise M Scholtens; Andrew S Allen; William L Lowe; Timothy E Reddy
Journal:  BMC Genomics       Date:  2017-05-19       Impact factor: 3.969

9.  Codon based co-occurrence network motifs in human mitochondria.

Authors:  Pramod Shinde; Camellia Sarkar; Sarika Jalan
Journal:  Sci Rep       Date:  2018-02-15       Impact factor: 4.379

10.  CADD: predicting the deleteriousness of variants throughout the human genome.

Authors:  Philipp Rentzsch; Daniela Witten; Gregory M Cooper; Jay Shendure; Martin Kircher
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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  3 in total

1.  Gradual Enhancement of the Assemblage Stability of the Reed Rhizosphere Microbiome with Recovery Time.

Authors:  Fuchao Zheng; Xiaoming Mou; Jinghua Zhang; Tiange Zhang; Lu Xia; Shenglai Yin; Lingye Wu; Xin Leng; Shuqing An; Dehua Zhao
Journal:  Microorganisms       Date:  2022-04-29

2.  Role of mitochondrial genetic interactions in determining adaptation to high altitude human population.

Authors:  Rahul K Verma; Alena Kalyakulina; Ankit Mishra; Mikhail Ivanchenko; Sarika Jalan
Journal:  Sci Rep       Date:  2022-02-07       Impact factor: 4.996

3.  Nucleotide-based genetic networks: Methods and applications.

Authors:  Rahul K Verma; Pramod Shinde; Sarika Jalan
Journal:  J Biosci       Date:  2022       Impact factor: 2.795

  3 in total

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