ASPECTS OF ANCIENT MITOCHONDRIAL
DNA ANALYSIS IN DIFFERENT POPULATIONS
FOR UNDERSTANDING HUMAN EVOLUTION
Nesheva DV
*Corresponding Author: Desislava V. Nesheva, Department of Medical Genetics, Medical Faculty, Medical University,
2 Zdrave str., fl. 6, 1431 Sofia, Bulgaria. Tel.: +35-92-917-2735; E-mail: desislava.nesheva@gmail.com
page: 5
download article in pdf format
|
|
Abstract
The evolution of modern humans is a long and
difficult process which started from their first appearance
and continues to the present day. The study of
the genetic origin of populations can help to determine
population kinship and to better understand the
gradual changes of the gene pool in space and time.
Mitochondrial DNA (mtDNA) is a proper tool for
the determination of the origin of populations due
to its high evolutionary importance. Ancient mitochondrial
DNA retrieved from museum specimens,
archaeological finds and fossil remains can provide
direct evidence for population origins and migration
processes. Despite the problems with contaminations
and authenticity of ancient mitochondrial DNA,
there is a developed set of criteria and platforms for
obtaining authentic ancient DNA. During the last
two decades, the application of different methods
and techniques for analysis of ancient mitochondrial
DNA gave promising results. Still, the literature is
relatively poor with information for the origin of
human populations. Using comprehensive phylogeographic
and population analyses we can observe
the development and formation of the contemporary
populations. The aim of this study was to shed light
on human migratory processes and the formation of
populations based on available ancient mtDNA data.
|
|
|
|
 |
Number 27
VOL. 27 (2), 2024 |
Number 27
VOL. 27 (1), 2024 |
Number 26
Number 26 VOL. 26(2), 2023 All in one |
Number 26
VOL. 26(2), 2023 |
Number 26
VOL. 26, 2023 Supplement |
Number 26
VOL. 26(1), 2023 |
Number 25
VOL. 25(2), 2022 |
Number 25
VOL. 25 (1), 2022 |
Number 24
VOL. 24(2), 2021 |
Number 24
VOL. 24(1), 2021 |
Number 23
VOL. 23(2), 2020 |
Number 22
VOL. 22(2), 2019 |
Number 22
VOL. 22(1), 2019 |
Number 22
VOL. 22, 2019 Supplement |
Number 21
VOL. 21(2), 2018 |
Number 21
VOL. 21 (1), 2018 |
Number 21
VOL. 21, 2018 Supplement |
Number 20
VOL. 20 (2), 2017 |
Number 20
VOL. 20 (1), 2017 |
Number 19
VOL. 19 (2), 2016 |
Number 19
VOL. 19 (1), 2016 |
Number 18
VOL. 18 (2), 2015 |
Number 18
VOL. 18 (1), 2015 |
Number 17
VOL. 17 (2), 2014 |
Number 17
VOL. 17 (1), 2014 |
Number 16
VOL. 16 (2), 2013 |
Number 16
VOL. 16 (1), 2013 |
Number 15
VOL. 15 (2), 2012 |
Number 15
VOL. 15, 2012 Supplement |
Number 15
Vol. 15 (1), 2012 |
Number 14
14 - Vol. 14 (2), 2011 |
Number 14
The 9th Balkan Congress of Medical Genetics |
Number 14
14 - Vol. 14 (1), 2011 |
Number 13
Vol. 13 (2), 2010 |
Number 13
Vol.13 (1), 2010 |
Number 12
Vol.12 (2), 2009 |
Number 12
Vol.12 (1), 2009 |
Number 11
Vol.11 (2),2008 |
Number 11
Vol.11 (1),2008 |
Number 10
Vol.10 (2), 2007 |
Number 10
10 (1),2007 |
Number 9
1&2, 2006 |
Number 9
3&4, 2006 |
Number 8
1&2, 2005 |
Number 8
3&4, 2004 |
Number 7
1&2, 2004 |
Number 6
3&4, 2003 |
Number 6
1&2, 2003 |
Number 5
3&4, 2002 |
Number 5
1&2, 2002 |
Number 4
Vol.3 (4), 2000 |
Number 4
Vol.2 (4), 1999 |
Number 4
Vol.1 (4), 1998 |
Number 4
3&4, 2001 |
Number 4
1&2, 2001 |
Number 3
Vol.3 (3), 2000 |
Number 3
Vol.2 (3), 1999 |
Number 3
Vol.1 (3), 1998 |
Number 2
Vol.3(2), 2000 |
Number 2
Vol.1 (2), 1998 |
Number 2
Vol.2 (2), 1999 |
Number 1
Vol.3 (1), 2000 |
Number 1
Vol.2 (1), 1999 |
Number 1
Vol.1 (1), 1998 |
|
|
