scholarly journals Glacial allopatry vs. postglacial parapatry and peripatry: the case of hedgehogs

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3163 ◽  
Author(s):  
Barbora Černa Bolfíková ◽  
Kristýna Eliášová ◽  
Miroslava Loudová ◽  
Boris Kryštufek ◽  
Petros Lymberakis ◽  
...  
Keyword(s):  
Population Structure ◽  
Central Europe ◽  
Range Expansion ◽  
Population Differentiation ◽  
Pannonian Basin ◽  
Mitochondrial Control Region ◽  
Balkan Peninsula ◽  
Glacial Refugia ◽  
Genetic Distances ◽  
Clustering Methods

Although hedgehogs are well-known examples of postglacial recolonisation, the specific processes that shape their population structures have not been examined by detailed sampling and fast-evolving genetic markers in combination with model based clustering methods. This study aims to analyse the impacts of isolation within glacial refugia and of postglacial expansion on the population structure of the Northern White-breasted hedgehog (Erinaceus roumanicus). It also discusses the role of the processes at edges of species distribution in its evolutionary history. The maternally inherited mitochondrial control region and the bi-parentally inherited nuclear microsatellites were used to examine samples within the Central Europe, Balkan Peninsula and adjacent islands. Bayesian coalescent inference and neutrality tests proposed a recent increase in the population size. The most pronounced pattern of population structure involved differentiation of the insular populations in the Mediterranean Sea and the population within the contact zone with E. europaeus in Central Europe. An interspecies hybrid was detected for the first time in Central Europe. A low genetic diversity was observed in Crete, while the highest genetic distances among individuals were found in Romania. The recent population in the post-refugial area related to the Balkan Peninsula shows a complex pattern with pronounced subpopulations located mainly in the Pannonian Basin and at the Adriatic and Pontic coasts. Detailed analyses indicate that parapatry and peripatry may not be the only factors that limit range expansion, but also strong microevolutionary forces that may change the genetic structure of the species. Here we present evidence showing that population differentiation may occur not only during the glacial restriction of the range into the refugia, but also during the interglacial range expansion. Population differentiation at the Balkan Peninsula and adjacent regions could be ascribed to diversification in steppe/forest biomes and complicated geomorphology, including pronounced geographic barriers as Carpathians.

scholarly journals The molecular population structure of the tall forb Cicerbita alpina (Asteraceae) supports the idea of cryptic glacial refugia in central Europe

2010 ◽  
Vol 164 (2) ◽  
pp. 142-154 ◽  
Author(s):  
THOMAS MICHL ◽  
STEFAN HUCK ◽  
THOMAS SCHMITT ◽  
ANNA LIEBRICH ◽  
PETER HAASE ◽  
...  
Keyword(s):  
Population Structure ◽  
Central Europe ◽  
Glacial Refugia ◽  
Cicerbita Alpina

scholarly journals Genetic diversity and population structure of rice stripe virus in China

2009 ◽  
Vol 90 (4) ◽  
pp. 1025-1034 ◽  
Author(s):  
Tai-Yun Wei ◽  
Jin-Guang Yang ◽  
Fu-Long Liao ◽  
Fang-Luan Gao ◽  
Lian-Ming Lu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Yunnan Province ◽  
Southwest China ◽  
Eastern China ◽  
Rice Stripe Virus ◽  
Genetic Distances ◽  
Geographical Regions ◽  
Strong Negative Selection ◽  
Recent Outbreak

Rice stripe virus (RSV) is one of the most economically important pathogens of rice and is repeatedly epidemic in China, Japan and Korea. The most recent outbreak of RSV in eastern China in 2000 caused significant losses and raised serious concerns. In this paper, we provide a genotyping profile of RSV field isolates and describe the population structure of RSV in China, based on the nucleotide sequences of isolates collected from different geographical regions during 1997–2004. RSV isolates could be divided into two or three subtypes, depending on which gene was analysed. The genetic distances between subtypes range from 0.050 to 0.067. The population from eastern China is composed only of subtype I/IB isolates. In contrast, the population from Yunnan province (southwest China) is composed mainly of subtype II isolates, but also contains a small proportion of subtype I/IB isolates and subtype IA isolates. However, subpopulations collected from different districts in eastern China or Yunnan province are not genetically differentiated and show frequent gene flow. RSV genes were found to be under strong negative selection. Our data suggest that the most recent outbreak of RSV in eastern China was not due to the invasion of new RSV subtype(s). The evolutionary processes contributing to the observed genetic diversity and population structure are discussed.

scholarly journals Detecting a hierarchical genetic population structure via Multi-InDel markers on the X chromosome

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Guang Yao Fan ◽  
Yi Ye ◽  
Yi Ping Hou
Keyword(s):  
Population Structure ◽  
X Chromosome ◽  
Cost Effective ◽  
Genetic Distances ◽  
Ancestry Informative Marker ◽  
Genetic Population ◽  
Single Nucleotide ◽  
Chinese Populations ◽  
Population Structures ◽  
Biogeographical Ancestry

Abstract Detecting population structure and estimating individual biogeographical ancestry are very important in population genetics studies, biomedical research and forensics. Single-nucleotide polymorphism (SNP) has long been considered to be a primary ancestry-informative marker (AIM), but it is constrained by complex and time-consuming genotyping protocols. Following up on our previous study, we propose that a multi-insertion-deletion polymorphism (Multi-InDel) with multiple haplotypes can be useful in ancestry inference and hierarchical genetic population structures. A validation study for the X chromosome Multi-InDel marker (X-Multi-InDel) as a novel AIM was conducted. Genetic polymorphisms and genetic distances among three Chinese populations and 14 worldwide populations obtained from the 1000 Genomes database were analyzed. A Bayesian clustering method (STRUCTURE) was used to discern the continental origins of Europe, East Asia, and Africa. A minimal panel of ten X-Multi-InDels was verified to be sufficient to distinguish human ancestries from three major continental regions with nearly the same efficiency of the earlier panel with 21 insertion-deletion AIMs. Along with the development of more X-Multi-InDels, an approach using this novel marker has the potential for broad applicability as a cost-effective tool toward more accurate determinations of individual biogeographical ancestry and population stratification.

Empirical Evaluation of Genetic Clustering Methods Using Multilocus Genotypes From 20 Chicken Breeds

Genetics ◽  
2001 ◽  
Vol 159 (2) ◽  
pp. 699-713
Author(s):  
Noah A Rosenberg ◽  
Terry Burke ◽  
Kari Elo ◽  
Marcus W Feldman ◽  
Paul J Freidlin ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Population Structure ◽  
Clustering Algorithm ◽  
Empirical Evaluation ◽  
Unknown Origin ◽  
Clustering Methods ◽  
Genetic Cluster ◽  
Data Set ◽  
Multilocus Genotypes ◽  
Chicken Breeds

Abstract We tested the utility of genetic cluster analysis in ascertaining population structure of a large data set for which population structure was previously known. Each of 600 individuals representing 20 distinct chicken breeds was genotyped for 27 microsatellite loci, and individual multilocus genotypes were used to infer genetic clusters. Individuals from each breed were inferred to belong mostly to the same cluster. The clustering success rate, measuring the fraction of individuals that were properly inferred to belong to their correct breeds, was consistently ~98%. When markers of highest expected heterozygosity were used, genotypes that included at least 8–10 highly variable markers from among the 27 markers genotyped also achieved >95% clustering success. When 12–15 highly variable markers and only 15–20 of the 30 individuals per breed were used, clustering success was at least 90%. We suggest that in species for which population structure is of interest, databases of multilocus genotypes at highly variable markers should be compiled. These genotypes could then be used as training samples for genetic cluster analysis and to facilitate assignments of individuals of unknown origin to populations. The clustering algorithm has potential applications in defining the within-species genetic units that are useful in problems of conservation.

scholarly journals Variation in style of magmatism and emplacement mechanism induced by changes in basin environments and stress fields (Pannonian Basin, Central Europe)

2018 ◽  
Vol 31 (2) ◽  
pp. 380-404 ◽  
Author(s):  
Attila Petrik ◽  
László Fodor ◽  
László Bereczki ◽  
Zsombor Klembala ◽  
Réka Lukács ◽  
...  
Keyword(s):  
Central Europe ◽  
Pannonian Basin ◽  
Stress Fields ◽  
Emplacement Mechanism

scholarly journals Genome-wide genetic diversity, population structure and admixture analysis in Eritrean Indigenous Cattle

2020 ◽  
Vol 49 (6) ◽  
pp. 1083-1092
Author(s):  
S Goitom ◽  
M.G. Gicheha ◽  
F.K. Njonge ◽  
N Kiplangat
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variability ◽  
Population Differentiation ◽  
Principal Component ◽  
Vital Role ◽  
Group Method ◽  
Indigenous Cattle ◽  
Ecological Zones ◽  
Genome Wide

Indigenous cattle play a vital role in subsistence and livelihood of pastoral producers in Eritrea. In order to optimally utilize and conserve these valuable indigenous cattle genetic resources, the need to carry out an inventory of their genetic diversity was recognized. This study assessed the genetic variability, population structure and admixture of the indigenous cattle populations (ICPs) of Eritrea using a genotype by sequencing (GBS) approach. The authors genotyped 188 animals, which were sampled from 27 cattle populations in three diverse agro-ecological zones (western lowlands, highlands and eastern lowlands). The genome-wide analysis results from this study revealed genetic diversity, population structure and admixture among the ICPs. Averages of the minor allele frequency (AF), observed heterozygosity (HO), expected heterozygosity (HE), and inbreeding coefficient (FIS) were 0.157, 0.255, 0.218, and -0.089, respectively. Nei’s genetic distance (Ds) between populations ranged from 0.24 to 0.27. Mean population differentiation (FST) ranged from 0.01 to 0.30. Analysis of molecular variance revealed high genetic variation between the populations. Principal component analysis and the distance-based unweighted pair group method and arithmetic mean analyses revealed weak substructure among the populations, separating them into three genetic clusters. However, multi-locus clustering had the lowest cross-validation error when two genetically distinct groups were modelled. This information about genetic diversity and population structure of Eritrean ICPs provided a basis for establishing their conservation and genetic improvement programmes. Keywords: genetic variability, molecular characterization, population differentiation

scholarly journals Experimental and modeling geochemical study of sandstones in the Pannonian Basin (Central Europe) for potential underground hydrogen storage

2021 ◽  
Author(s):  
Orsolya Gelencsér ◽  
Zsuzsanna Szabó-Krausz ◽  
László Mika ◽  
Daniel Breitner ◽  
Tibor Németh ◽  
...  
Keyword(s):  
Hydrogen Storage ◽  
Central Europe ◽  
Pannonian Basin ◽  
Geochemical Study ◽  
Underground Hydrogen Storage

scholarly journals Genetic diversity and population structure among goat genotypes in Kenya

2020 ◽  
Author(s):  
Ruth W. Waineina ◽  
Kiplangat Ngeno ◽  
Tobias O. Otieno ◽  
Evans D. Ilatsia
Keyword(s):  
Population Structure ◽  
Principal Component ◽  
Genetic Distances ◽  
Snp Markers ◽  
Founder Population ◽  
Good Opportunity ◽  
Model Based Clustering ◽  
Population Structuring ◽  
Improvement Programs ◽  
Genotype Clustering

AbstractPopulation structure and relationship information among goats is critical for genetic improvement, utilization and conservation. This study explored population structure and level of gene intermixing among four goat genotypes in Kenya: Alpine (n = 30), Toggenburg (n = 28), Saanen (n = 24) and Galla (n = 12). The population structuring and relatedness were estimated using principal component analysis utilizing allele frequencies of the SNP markers. Genotype relationships were evaluated based on the calculated Reynolds genetic distances. A phylogenetic tree was constructed to represent genotype clustering using iTOL software. Population structure was investigated using model-based clustering (ADMIXTURE) Genotypes relationships revealed four distinctive clusters: Alpine, Galla, Saanen and Toggenburg. The ADMIXTURE results revealed some level of gene intermixing among Alpine, Toggenburg and Saanen with Galla. Saanen goats were the most admixed genotype with 84%, 7% and 4% of its genome derived from Galla, Alpine and Toggenburg respectively. Alpine and Toggenburg goats shared some associations with the Galla goat; 10% and 1% respectively. The association of Galla with other genotypes was anticipated since Galla goat was used as the founder population for crossbreeding with Saanen, Alpine and Toggenburg breed. The genetic variations among the goat genotypes observed, will provide a good opportunity for sustainable utilization, conservation and future genetic resource improvement programs in goat genotypes in Kenya.

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