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...
Autores principales: | , , , , |
---|---|
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 |