scholarly journals Mitochondrial DNA Typing Screens with Control Region and Coding Region SNPs

2005 ◽  
Vol 50 (2) ◽  
pp. 1-9 ◽  
Author(s):  
Margaret C. Kline ◽  
Peter M. Vallone ◽  
Janette W. Redman ◽  
David L. Duewer ◽  
Cassandra D. Calloway ◽  
...  
2017 ◽  
Author(s):  
Alexander Hübner ◽  
Manja Wachsmuth ◽  
Roland Schröder ◽  
Mingkun Li ◽  
Anna Maria Eis-Hübinger ◽  
...  

ABSTRACTMitochondrial DNA (mtDNA) heteroplasmy (intra-individual variation) varies among different human tissues and increases with age, suggesting that the majority of mtDNA heteroplasmies are acquired, rather than inherited. However, the extent to which heteroplasmic sites are shared across a tissue remains an open question. We therefore investigated heteroplasmy in two liver samples (one from each primary lobe) from 83 Europeans, sampled at autopsy. Minor allele frequencies (MAF) at heteroplasmic sites were significantly correlated between the two liver samples from an individual, with significantly more sharing of heteroplasmic sites in the control region than in the coding region. We show that this increased sharing for the control region cannot be explained by recent mutations at just a few specific heteroplasmic sites or by the possible presence of 7S DNA. Moreover, we carried out simulations to show that there is significantly more sharing than would be predicted from random genetic drift from a common progenitor cell. We also observe a significant excess of non-synonymous vs. synonymous heteroplasmies in the coding region, but significantly more sharing of synonymous heteroplasmies. These contrasting patterns for the control vs. the coding region, and for non-synonymous vs. synonymous heteroplasmies, suggest that selection plays a role in heteroplasmy sharing.


2018 ◽  
Vol 18 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Joanna Warzecha ◽  
Agnieszka Fornal ◽  
Maria Oczkowicz ◽  
Monika Bugno-Poniewierska

Abstract Mitochondrial DNA (mtDNA) is a molecular tool that is very effective in genetic research, including phylogenetic analysis. The non-coding region is the most variable fragment of mtDNA, showing variability in length and nucleobase composition and containing three domains: two hypervariable peripheral regions and the conserved domain (D-loop) in the middle. The Anseriformes are amongst the best studied avian groups, including approximately 150 species and containing geese, swans, ducks (Anatidae), the Magpie goose (Anseranatidae) and screamers (Anhimidae). The most numerous family is the Anatidae, appearing in close relationships within the phylogenetic branches of the species. There are differences between the non-coding region of the Anatidae in comparison to other avian control regions. In the article presented below the control region sequences and the phylogeny of the Anatidae were reviewed.


2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Chang Seok Oh ◽  
Soong Deok Lee ◽  
Yi-Suk Kim ◽  
Dong Hoon Shin

Previous study showed that East Asian mtDNA haplogroups, especially those of Koreans, could be successfully assigned by the coupled use of analyses on coding region SNP markers and control region mutation motifs. In this study, we tried to see if the same triple multiplex analysis for coding regions SNPs could be also applicable to ancient samples from East Asia as the complementation for sequence analysis of mtDNA control region. By the study on Joseon skeleton samples, we know that mtDNA haplogroup determined by coding region SNP markers successfully falls within the same haplogroup that sequence analysis on control region can assign. Considering that ancient samples in previous studies make no small number of errors in control region mtDNA sequencing, coding region SNP analysis can be used as good complimentary to the conventional haplogroup determination, especially of archaeological human bone samples buried underground over long periods.


2019 ◽  
Vol 46 (7-8) ◽  
pp. 606-609 ◽  
Author(s):  
Cuiyun Le ◽  
Zheng Ren ◽  
Hongling Zhang ◽  
Qiyan Wang ◽  
Meiqing Yang ◽  
...  

2001 ◽  
Vol 49 (11) ◽  
pp. 5108-5114 ◽  
Author(s):  
Javier Quinteiro ◽  
Rodrigo Vidal ◽  
Mónica Izquierdo ◽  
Carmen G. Sotelo ◽  
María José Chapela ◽  
...  

BMC Genomics ◽  
2007 ◽  
Vol 8 (1) ◽  
pp. 293 ◽  
Author(s):  
Giuseppina Rose ◽  
Giuseppe Passarino ◽  
Vittorio Scornaienchi ◽  
Giuseppe Romeo ◽  
Serena Dato ◽  
...  

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