scholarly journals Modern wolves trace their origin to a late Pleistocene expansion from Beringia

2018 ◽  
Author(s):  
Liisa Loog ◽  
Olaf Thalmann ◽  
Mikkel-Holger S. Sinding ◽  
Verena J. Schuenemann ◽  
Angela Perri ◽  
...  
Keyword(s):  
Northern Hemisphere ◽  
Late Pleistocene ◽  
Demographic History ◽  
Geographic Origin ◽  
Population History ◽  
Ancestral Population ◽  
Modeling Framework ◽  
Ecological Changes ◽  
History Of ◽  
Continuous Presence

ABSTRACTGrey wolves (Canis lupus) are one of the few large terrestrial carnivores that maintained a wide geographic distribution across the Northern Hemisphere throughout the Pleistocene and Holocene. Recent genetic studies have suggested that, despite this continuous presence, major demographic changes occurred in wolf populations between the late Pleistocene and early Holocene, and that extant wolves trace their ancestry to a single late Pleistocene population. Both the geographic origin of this ancestral population and how it became widespread remain a mystery. Here we analyzed a large dataset of novel modern and ancient mitochondrial wolf genomes, spanning the last 50,000 years, using a spatially and temporally explicit modeling framework to show that contemporary wolf populations across the globe trace their ancestry to an expansion from Beringia at the end of the Last Glacial Maximum - a process most likely driven by the significant ecological changes that occurred across the Northern Hemisphere during this period. This study provides direct ancient genetic evidence that long-range migration has played an important role in the population history of a large carnivore and provides an insight into how wolves survived the wave of megafaunal extinctions at the end of the last glaciation. Moreover, because late Pleistocene grey wolves were the likely source from which all modern dogs trace their origins, the demographic history described in this study has fundamental implications for understanding the geographical origin of the dog.

Phylogeographic structure and gene flow of Himalayan snowcock (Tetraogallus himalayensis)

2010 ◽  
Vol 60 (4) ◽  
pp. 449-465
Author(s):  
Wen Longying ◽  
Zhang Lixun ◽  
An Bei ◽  
Luo Huaxing ◽  
Liu Naifa ◽  
...  
Keyword(s):  
Demographic History ◽  
Phylogenetic Analyses ◽  
Divergence Time ◽  
Population Expansion ◽  
Population History ◽  
Tibet Plateau ◽  
Phylogeographic Structure ◽  
Mitochondrial Cytochrome B ◽  
History Of ◽  
Qinghai Tibet Plateau

AbstractWe have used phylogeographic methods to investigate the genetic structure and population history of the endangered Himalayan snowcock (Tetraogallus himalayensis) in northwestern China. The mitochondrial cytochrome b gene was sequenced of 102 individuals sampled throughout the distribution range. In total, we found 26 different haplotypes defined by 28 polymorphic sites. Phylogenetic analyses indicated that the samples were divided into two major haplogroups corresponding to one western and one eastern clade. The divergence time between these major clades was estimated to be approximately one million years. An analysis of molecular variance showed that 40% of the total genetic variability was found within local populations, 12% among populations within regional groups and 48% among groups. An analysis of the demographic history of the populations suggested that major expansions have occurred in the Himalayan snowcock populations and these correlate mainly with the first and the second largest glaciations during the Pleistocene. In addition, the data indicate that there was a population expansion of the Tianshan population during the uplift of the Qinghai-Tibet Plateau, approximately 2 million years ago.

scholarly journals Population structure and demographic history of the chukar partridge Alectoris chukar in China

2013 ◽  
Vol 59 (4) ◽  
pp. 458-474 ◽  
Author(s):  
Sen Song ◽  
Shijie Bao ◽  
Ying Wang ◽  
Xinkang Bao ◽  
Bei An ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Gene Flow ◽  
North America ◽  
Demographic History ◽  
Population Expansion ◽  
Northwest China ◽  
Population History ◽  
Extant Species ◽  
History Of ◽  
Chukar Partridge

Abstract Pleistocene climate fluctuations have shaped the patterns of genetic diversity observed in extant species. Although the effects of recent glacial cycles on genetic diversity have been well studied on species in Europe and North America, genetic legacy of species in the Pleistocene in north and northwest of China where glaciations was not synchronous with the ice sheet development in the Northern Hemisphere or or had little or no ice cover during the glaciations’ period, remains poorly understood. Here we used phylogeographic methods to investigate the genetic structure and population history of the chukar partridge Alec-toris chukar in north and northwest China. A 1,152 – 1,154 bp portion of the mtDNA CR were sequenced for all 279 specimens and a total number of 91 haplotypes were defined by 113 variable sites. High levels of gene flow were found and gene flow estimates were greater than 1 for most population pairs in our study. The AMOVA analysis showed that 81% and 16% of the total genetic variability was found within populations and among populations within groups, respectively. The demographic history of chukar was examined using neutrality tests and mismatch distribution analyses and results indicated Late Pleistocene population expansion. Results revealed that most populations of chukar experienced population expansion during 0.027 ? 0.06 Ma. These results are at odds with the results found in Europe and North America, where population expansions occurred after Last Glacial Maximum (LGM, 0.023 to 0.018 Ma). Our results are not consistent with the results from avian species of Tibetan Plateau, either, where species experienced population expansion following the retreat of the extensive glaciation period (0.5 to 0.175 Ma).

scholarly journals Genomic insights into the recent population history of Mapuche Native Americans

2021 ◽  
Author(s):  
Lucas Vicuña ◽  
Anastasia Mikhailova ◽  
Tomás Norambuena ◽  
Anna Ilina ◽  
Olga Klimenkova ◽  
...  
Keyword(s):  
Native American ◽  
Native Americans ◽  
Amazon Basin ◽  
Genomic Data ◽  
Population History ◽  
Ancestral Population ◽  
Effective Population ◽  
Southern Patagonia ◽  
History Of ◽  
Demographic Shifts

The last few years have witnessed an explosive generation of genomic data from ancient and modern Native American populations. These data shed light on key demographic shifts that occurred in geographically diverse territories of South America, such as the Andean highlands, Southern Patagonia and the Amazon basin. We used genomic data to study the recent population history of the Mapuche, who are the major Native population from the Southern Cone (Chile and Argentina). We found evidence of specific shared genetic ancestry between the Mapuche and ancient populations from Southern Patagonia, Central Chile and the Argentine Pampas. Despite previous evidence of cultural influence of Inca and Tiwanaku polities over the Mapuche, we did not find evidence of specific shared ancestry between them, nor with Amazonian groups. We estimated the effective population size dynamics of the Mapuche ancestral population during the last millennia, identifying a population bottleneck around 1650 AD, coinciding with a period of Spaniards invasions into the territory inhabited by the Mapuche. Finally, we show that admixed Chileans underwent post-admixture adaptation in their Mapuche subancestry component in genes related with lipid metabolism, suggesting adaptation to scarce food availability.

Patterns of genetic differentiation and population history of endemic isopods (Asellidae) from ancient Lake Ohrid: combining allozyme and mtDNA data

2013 ◽  
Vol 8 (9) ◽  
pp. 854-875 ◽  
Author(s):  
Adrianna Kilikowska ◽  
Anna Wysocka ◽  
Artur Burzyński ◽  
Goce Kostoski ◽  
Joanna Rychlińska ◽  
...  
Keyword(s):  
Genetic Differentiation ◽  
Demographic History ◽  
Horizontal Distribution ◽  
Population History ◽  
Main Role ◽  
Ancient Lake ◽  
Lake Ohrid ◽  
History Of ◽  
Allozyme Loci ◽  
Parapatric Speciation

AbstractAncient lakes as places of extensive speciation processes have been characterized by a high degree of endemicity and biodiversity. The most outstanding European ancient lake is the oligotrophic and karstic Balkan Lake Ohrid. The lake is inhabited by a number of endemic species, but their evolutionary history is largely unresolved. in the present study, the genetic structure, gene genealogy and demographic history of the representatives of the Ohridian endemic Proasellus species were studied using both biparentally (allozyme loci) and maternally (partial mitochondrial cytochrome oxidase subunit I gene) inherited markers. Both data sets gave similar results and supported discrepancies among genetic differentiation, the current morphology-based taxonomy and bathymetric segregation. Horizontal distribution of endemic Proasellus species (Lake Ohrid vs adjacent feeder springs) within the lake presumably promote parapatric speciation whereas the main role of vertical barriers into diversification processes was not fully supported. The analyses of demographic history suggested the decline of endemic isopod populations. The radiation of endemic Proasellus populations within the lake could have started from the sublittoral/profundal zone towards the littoral or in the opposite direction — from the littoral to the profundal. Our analyses did not exclude both possibilities.

scholarly journals Inferring number of populations and changes in connectivity under the n-island model

Heredity ◽  
2021 ◽  
Author(s):  
Armando Arredondo ◽  
Beatriz Mourato ◽  
Khoa Nguyen ◽  
Simon Boitard ◽  
Willy Rodríguez ◽  
...  
Keyword(s):  
Population Structure ◽  
Gene Flow ◽  
Population Size ◽  
Demographic History ◽  
Simulated Data ◽  
Fixed Number ◽  
Ancestral Population ◽  
Demographic Model ◽  
History Of ◽  
Time Periods

AbstractInferring the demographic history of species is one of the greatest challenges in populations genetics. This history is often represented as a history of size changes, ignoring population structure. Alternatively, when structure is assumed, it is defined a priori as a population tree and not inferred. Here we propose a framework based on the IICR (Inverse Instantaneous Coalescence Rate). The IICR can be estimated for a single diploid individual using the PSMC method of Li and Durbin (2011). For an isolated panmictic population, the IICR matches the population size history, and this is how the PSMC outputs are generally interpreted. However, it is increasingly acknowledged that the IICR is a function of the demographic model and sampling scheme with limited connection to population size changes. Our method fits observed IICR curves of diploid individuals with IICR curves obtained under piecewise stationary symmetrical island models. In our models we assume a fixed number of time periods during which gene flow is constant, but gene flow is allowed to change between time periods. We infer the number of islands, their sizes, the periods at which connectivity changes and the corresponding rates of connectivity. Validation with simulated data showed that the method can accurately recover most of the scenario parameters. Our application to a set of five human PSMCs yielded demographic histories that are in agreement with previous studies using similar methods and with recent research suggesting ancient human structure. They are in contrast with the view of human evolution consisting of one ancestral population branching into three large continental and panmictic populations with varying degrees of connectivity and no population structure within each continent.

scholarly journals Estimation of coalescence probabilities and population divergence times from SNP data

Heredity ◽  
2021 ◽  
Author(s):  
Kristy Mualim ◽  
Christoph Theunert ◽  
Montgomery Slatkin
Keyword(s):  
Demographic History ◽  
Population History ◽  
Divergence Times ◽  
Population Divergence ◽  
High Coverage ◽  
Snp Data ◽  
Population Sizes ◽  
History Of ◽  
Relationship Of ◽  
The Relationship

AbstractWe present a method called the G(A|B) method for estimating coalescence probabilities within population lineages from genome sequences when one individual is sampled from each population. Population divergence times can be estimated from these coalescence probabilities if additional assumptions about the history of population sizes are made. Our method is based on a method presented by Rasmussen et al. (2014) to test whether an archaic genome is from a population directly ancestral to a present-day population. The G(A|B) method does not require distinguishing ancestral from derived alleles or assumptions about demographic history before population divergence. We discuss the relationship of our method to two similar methods, one introduced by Green et al. (2010) and called the F(A|B) method and the other introduced by Schlebusch et al. (2017) and called the TT method. When our method is applied to individuals from three or more populations, it provides a test of whether the population history is treelike because coalescence probabilities are additive on a tree. We illustrate the use of our method by applying it to three high-coverage archaic genomes, two Neanderthals (Vindija and Altai) and a Denisovan.

scholarly journals A demographic history of Late Pleistocene China

2020 ◽  
Vol 559 ◽  
pp. 4-13 ◽  
Author(s):  
Robin Dennell ◽  
Maria Martinón-Torres ◽  
Jose-Maria Bermúdez de Castro ◽  
Gao Xing
Keyword(s):  
Late Pleistocene ◽  
Demographic History ◽  
History Of

scholarly journals Population History and Gene Divergence in Native Mexicans Inferred from 76 Human Exomes

2019 ◽  
Vol 37 (4) ◽  
pp. 994-1006 ◽  
Author(s):  
María C Ávila-Arcos ◽  
Kimberly F McManus ◽  
Karla Sandoval ◽  
Juan Esteban Rodríguez-Rodríguez ◽  
Viridiana Villa-Islas ◽  
...  
Keyword(s):  
Native American ◽  
Demographic History ◽  
Population History ◽  
Indigenous Populations ◽  
Physical Endurance ◽  
Sequencing Data ◽  
Indigenous Group ◽  
Native Populations ◽  
Human Genome Sequencing ◽  
History Of

Abstract Native American genetic variation remains underrepresented in most catalogs of human genome sequencing data. Previous genotyping efforts have revealed that Mexico’s Indigenous population is highly differentiated and substructured, thus potentially harboring higher proportions of private genetic variants of functional and biomedical relevance. Here we have targeted the coding fraction of the genome and characterized its full site frequency spectrum by sequencing 76 exomes from five Indigenous populations across Mexico. Using diffusion approximations, we modeled the demographic history of Indigenous populations from Mexico with northern and southern ethnic groups splitting 7.2 KYA and subsequently diverging locally 6.5 and 5.7 KYA, respectively. Selection scans for positive selection revealed BCL2L13 and KBTBD8 genes as potential candidates for adaptive evolution in Rarámuris and Triquis, respectively. BCL2L13 is highly expressed in skeletal muscle and could be related to physical endurance, a well-known phenotype of the northern Mexico Rarámuri. The KBTBD8 gene has been associated with idiopathic short stature and we found it to be highly differentiated in Triqui, a southern Indigenous group from Oaxaca whose height is extremely low compared to other Native populations.

Sign in / Sign up

Export Citation Format

Share Document