scholarly journals High‐altitude adaptation in vertebrates as revealed by mitochondrial genome analyses

2021 ◽  
Author(s):  
Xibao Wang ◽  
Shengyang Zhou ◽  
Xiaoyang Wu ◽  
Qinguo Wei ◽  
Yongquan Shang ◽  
...  

Gene ◽  
2013 ◽  
Vol 517 (2) ◽  
pp. 169-178 ◽  
Author(s):  
Yali Li ◽  
Zhumei Ren ◽  
Andrew M. Shedlock ◽  
Jiaqi Wu ◽  
Luo Sang ◽  
...  


2019 ◽  
Author(s):  
Rahul K Verma ◽  
Cristina Giuliani ◽  
Alena Kalyakuina ◽  
Ajay Deep Kachhvah ◽  
Mikhail Ivanchenko ◽  
...  

ABSTRACTFinding mechanisms behind high altitude adaptation in humans at the Tibetan plateau has been a subject of evolutionary research. Mitochondrial DNA (mt-DNA) variations have been established as one of the key players in understanding the biological mechanisms at the basis of adaptation to these extreme conditions. To explore cumulative effects and dynamics of the variations in mitochondrial genome at varying altitudes, we investigated human mt-DNA sequences from NCBI database at different altitudes by employing co-occurrence motifs framework. We constructed co-occurrence motifs by taking into account variable sites for each altitude group. Analysis of the co-occurrence motifs using similarity clustering revealed a clear distinction between a lower and a higher altitude region. 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 marker 10398 was found to co-occur only at higher altitudes supporting the fact that a separate root of colonization at these altitudes might have taken place. Overall, our analysis revealed the presence of co-occurrence motifs at a whole mitochondrial genome level. This study, combined with the classical haplogroups analysis is useful in understanding role of co-occurrence of mitochondrial variations in high altitude adaptation.



2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rahul K. Verma ◽  
Alena Kalyakulina ◽  
Cristina Giuliani ◽  
Pramod Shinde ◽  
Ajay Deep Kachhvah ◽  
...  

AbstractNetworks 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.



2007 ◽  
Vol 34 (8) ◽  
pp. 720-729 ◽  
Author(s):  
Shuqing Xu ◽  
Jiangbai Luosang ◽  
Sang Hua ◽  
Jian He ◽  
Asan Ciren ◽  
...  


Author(s):  
Pamela Wiener ◽  
Christelle Robert ◽  
Abulgasim Ahbara ◽  
Mazdak Salavati ◽  
Ayele Abebe ◽  
...  

Abstract Great progress has been made over recent years in the identification of selection signatures in the genomes of livestock species. This work has primarily been carried out in commercial breeds for which the dominant selection pressures, are associated with artificial selection. As agriculture and food security are likely to be strongly affected by climate change, a better understanding of environment-imposed selection on agricultural species is warranted. Ethiopia is an ideal setting to investigate environmental adaptation in livestock due to its wide variation in geo-climatic characteristics and the extensive genetic and phenotypic variation of its livestock. Here, we identified over three million single nucleotide variants across 12 Ethiopian sheep populations and applied landscape genomics approaches to investigate the association between these variants and environmental variables. Our results suggest that environmental adaptation for precipitation-related variables is stronger than that related to altitude or temperature, consistent with large-scale meta-analyses of selection pressure across species. The set of genes showing association with environmental variables was enriched for genes highly expressed in human blood and nerve tissues. There was also evidence of enrichment for genes associated with high-altitude adaptation although no strong association was identified with hypoxia-inducible-factor (HIF) genes. One of the strongest altitude-related signals was for a collagen gene, consistent with previous studies of high-altitude adaptation. Several altitude-associated genes also showed evidence of adaptation with temperature, suggesting a relationship between responses to these environmental factors. These results provide a foundation to investigate further the effects of climatic variables on small ruminant populations.



2011 ◽  
Vol 22 (5-6) ◽  
pp. 181-190 ◽  
Author(s):  
Yongjun Luo ◽  
Wenxiang Gao ◽  
Fuyu Liu ◽  
Yuqi Gao


2010 ◽  
Vol 48 (5-6) ◽  
pp. 418-427 ◽  
Author(s):  
Liangde Kuang ◽  
Yucai Zheng ◽  
Yaqiu Lin ◽  
Yaou Xu ◽  
Suyu Jin ◽  
...  


2013 ◽  
Vol 30 (8) ◽  
pp. 1889-1898 ◽  
Author(s):  
Kun Xiang ◽  
Ouzhuluobu ◽  
Yi Peng ◽  
Zhaohui Yang ◽  
Xiaoming Zhang ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document