Cargando…

Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data

The prehistory of the Lithuanian population and genetic relationship to other populations are poorly studied. Thus, the Lithuanian population, as an object of study, is interesting due to its partial isolation with genetic distinctiveness within the European context and with preserved ancient geneti...

Descripción completa

Detalles Bibliográficos
Autores principales: Urnikytė, Alina, Molytė, Alma, Pranckevičienė, Erinija, Kučinskienė, Zita Aušrelė, Kučinskas, Vaidutis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140885/
https://www.ncbi.nlm.nih.gov/pubmed/32164396
http://dx.doi.org/10.3390/genes11030293
_version_ 1783519091509690368
author Urnikytė, Alina
Molytė, Alma
Pranckevičienė, Erinija
Kučinskienė, Zita Aušrelė
Kučinskas, Vaidutis
author_facet Urnikytė, Alina
Molytė, Alma
Pranckevičienė, Erinija
Kučinskienė, Zita Aušrelė
Kučinskas, Vaidutis
author_sort Urnikytė, Alina
collection PubMed
description The prehistory of the Lithuanian population and genetic relationship to other populations are poorly studied. Thus, the Lithuanian population, as an object of study, is interesting due to its partial isolation with genetic distinctiveness within the European context and with preserved ancient genetic composition. The main objects of this study was to infer demographic parameters, effective population size (Ne), and divergence time using high-density single nucleotide polymorphism (SNP) genotyping data generated with the Illumina HumanOmmiExpress-12v1.1 array in 295 individuals from the Lithuanian population and to compare our data with other populations from the Human Genome Cell Line Diversity Panel (HGDP-CEPH). We also aimed to reconstruct past events between the main ethnolinguistic regions—Aukštaitija and Žemaitija of Lithuania. Historically, these regions probably developed as two independent Baltic tribes. Our results of Ne in the Lithuanian population through time demonstrated a substantial reduction of Ne over the 150,000–25,000 years before present (YBP). The estimated long-term Ne of the Lithuanian population is quite low—it equals 5404, which likely is a consequence of the bottlenecks associated with the last glacial period of 25,000–12,000 YBP in Europe. The obtained divergence time estimates between the study populations are in agreement with recent studies. The reconstructed past events in Aukštaitija and Žemaitija showed significant differences between these two regions of Lithuania.
format Online
Article
Text
id pubmed-7140885
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71408852020-04-10 Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data Urnikytė, Alina Molytė, Alma Pranckevičienė, Erinija Kučinskienė, Zita Aušrelė Kučinskas, Vaidutis Genes (Basel) Article The prehistory of the Lithuanian population and genetic relationship to other populations are poorly studied. Thus, the Lithuanian population, as an object of study, is interesting due to its partial isolation with genetic distinctiveness within the European context and with preserved ancient genetic composition. The main objects of this study was to infer demographic parameters, effective population size (Ne), and divergence time using high-density single nucleotide polymorphism (SNP) genotyping data generated with the Illumina HumanOmmiExpress-12v1.1 array in 295 individuals from the Lithuanian population and to compare our data with other populations from the Human Genome Cell Line Diversity Panel (HGDP-CEPH). We also aimed to reconstruct past events between the main ethnolinguistic regions—Aukštaitija and Žemaitija of Lithuania. Historically, these regions probably developed as two independent Baltic tribes. Our results of Ne in the Lithuanian population through time demonstrated a substantial reduction of Ne over the 150,000–25,000 years before present (YBP). The estimated long-term Ne of the Lithuanian population is quite low—it equals 5404, which likely is a consequence of the bottlenecks associated with the last glacial period of 25,000–12,000 YBP in Europe. The obtained divergence time estimates between the study populations are in agreement with recent studies. The reconstructed past events in Aukštaitija and Žemaitija showed significant differences between these two regions of Lithuania. MDPI 2020-03-10 /pmc/articles/PMC7140885/ /pubmed/32164396 http://dx.doi.org/10.3390/genes11030293 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Urnikytė, Alina
Molytė, Alma
Pranckevičienė, Erinija
Kučinskienė, Zita Aušrelė
Kučinskas, Vaidutis
Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title_full Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title_fullStr Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title_full_unstemmed Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title_short Inferring Effective Population Size and Divergence Time in the Lithuanian Population According to High-Density Genotyping Data
title_sort inferring effective population size and divergence time in the lithuanian population according to high-density genotyping data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140885/
https://www.ncbi.nlm.nih.gov/pubmed/32164396
http://dx.doi.org/10.3390/genes11030293
work_keys_str_mv AT urnikytealina inferringeffectivepopulationsizeanddivergencetimeinthelithuanianpopulationaccordingtohighdensitygenotypingdata
AT molytealma inferringeffectivepopulationsizeanddivergencetimeinthelithuanianpopulationaccordingtohighdensitygenotypingdata
AT pranckevicieneerinija inferringeffectivepopulationsizeanddivergencetimeinthelithuanianpopulationaccordingtohighdensitygenotypingdata
AT kucinskienezitaausrele inferringeffectivepopulationsizeanddivergencetimeinthelithuanianpopulationaccordingtohighdensitygenotypingdata
AT kucinskasvaidutis inferringeffectivepopulationsizeanddivergencetimeinthelithuanianpopulationaccordingtohighdensitygenotypingdata