scholarly journals Interactions between gene pools of russian and finnish-speaking populations from Tver region: analysis of 4 million SNP markers

2020 ◽  
Author(s):  
OP Balanovsky ◽  
IO Gorin ◽  
YuS Zapisetskaya ◽  
AA Golubeva ◽  
ES Kostryukova ◽  
...  
Keyword(s):  
Gene Flow ◽  
Gene Pool ◽  
Population Decline ◽  
Principal Component ◽  
Genetic Admixture ◽  
Gene Pools ◽  
Genome Wide ◽  
A Genome ◽  
Tver Region ◽  
Snp Panel

This study explored the gene pools of Russian and Karelian populations of Tver region. Forty-one samples representing Tver Karels (n = 11) and Russians residing in the Western, Central and Eastern districts of Tver region (n = 30) were genotyped using a genome-wide panel of 4,559,465 SNPs. In order to investigate the phenomenon of genetic admixture between Slavic and Finnish-speaking populations, the obtained results were compared to the data on the Russian populations inhabiting the neighboring territories, Karels from Karelia and other North Eastern Europeans. Studying the gene pools of Russian populations with a genome-wide SNP panel is essential for cataloging their genetic diversity and identifying the distinct features of regional gene pools; in addition, it provides valuable data for practical pharmacogenomics and forensics. Using the principal component analysis, the ADMIXTURE method and D- and f3-statistics, we demonstrated that the gene pool of Tver Karels is closest to the gene pool of Karelian Karels, despite a long (300 to 500 years) history of living among the larger Russian population and the twentyfold population decline during the 20th century. At the same time, the gene pool of Tver Karels exhibits more pronounced similarity to the gene pool of the studied Russian populations than does any other Karelian population. The genetic admixture between Tver Russians and Tver Karels occurred due to a more intense gene flow from Russians to Karels whereas the gene flow from Karels to Russians was much weaker: Tver Russians turned out to be as genetically different from Karels as Pskov Russians. The genetic similarity of Tver Karels to Karelian Karels assessed with the autosomal SNP panel exhibits a slight shift towards the Russian gene pool and is consistent with the previously published analysis of Y-chromosome lineages in these populations that detected no admixture between Tver Karels and Russians.

scholarly journals Genetic diversity of common bean (Phaseolus vulgaris L.) breeding collection in Serbia

Genetika ◽  
2019 ◽  
Vol 51 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Aleksandra Savic ◽  
Milka Brdar-Jokanovic ◽  
Miodrag Dimitrijevic ◽  
Sofija Petrovic ◽  
Milan Zdravkovic ◽  
...  
Keyword(s):  
Common Bean ◽  
Gene Pool ◽  
Gene Diversity ◽  
Principal Component ◽  
Molecular Data ◽  
Phenotypic Traits ◽  
Gene Pools ◽  
Vegetable Crops ◽  
Novi Sad

The characterization of 41 common bean cultivars and landraces from breeding collection of Institute of Field and Vegetable Crops, Novi Sad, Serbia, was done based on phenotypic traits and microsatellite markers. Phenotypic traits were chosen from Bioversity International descriptor list. In addition, main yield components were investigated. Analysis of phaseolin type revealed affiliation of cultivars and landraces to Mesoamerican or Andean gene pool. Cultivars and landraces demonstrated significant diversity level with regard to studied phenotypic traits. Identified variation showed high potential for developing new cultivars with desirable combination of traits. Principal component analysis based on phenotypic traits separated bean cultivars and landraces in two groups, which corresponded to Mesoamerican and Andean determined according to phaseolin type. Putative hybrids, with combination of traits between gene pools were also identified. Analysis of microsatellite data, using twenty-two SSR primer pairs, showed medium gene diversity in studied material. Microsatellite-based cluster analysis separated genotypes in two discrete clusters and several subclusters. No clear separation according to gene pool was found between the clusters, however grouping according to gene pool and patterns of phenotypic variation, following these gene pools, were observed within subclusters. Knowledge on detailed relationships of cultivars and landraces based on phenotypic and molecular data would facilitate identification of candidates for future breeding.

scholarly journals Admixture into and within sub-Saharan Africa

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
George BJ Busby ◽  
Gavin Band ◽  
Quang Si Le ◽  
Muminatou Jallow ◽  
Edith Bougama ◽  
...  
Keyword(s):  
Gene Flow ◽  
Geographic Region ◽  
Sub Saharan Africa ◽  
Genome Wide ◽  
A Genome ◽  
Depth Analysis ◽  
Shared Ancestry ◽  
Sub Saharan ◽  
Linguistic Groups ◽  
Insight Into

Similarity between two individuals in the combination of genetic markers along their chromosomes indicates shared ancestry and can be used to identify historical connections between different population groups due to admixture. We use a genome-wide, haplotype-based, analysis to characterise the structure of genetic diversity and gene-flow in a collection of 48 sub-Saharan African groups. We show that coastal populations experienced an influx of Eurasian haplotypes over the last 7000 years, and that Eastern and Southern Niger-Congo speaking groups share ancestry with Central West Africans as a result of recent population expansions. In fact, most sub-Saharan populations share ancestry with groups from outside of their current geographic region as a result of gene-flow within the last 4000 years. Our in-depth analysis provides insight into haplotype sharing across different ethno-linguistic groups and the recent movement of alleles into new environments, both of which are relevant to studies of genetic epidemiology.

scholarly journals GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture

2019 ◽  
Vol 116 (42) ◽  
pp. 21262-21267 ◽  
Author(s):  
Kenji Yano ◽  
Yoichi Morinaka ◽  
Fanmiao Wang ◽  
Peng Huang ◽  
Sayaka Takehara ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Genome Wide Association Study ◽  
Crop Yields ◽  
Principal Component ◽  
Complex Trait ◽  
Component Analysis ◽  
Gene Encoding ◽  
Signal Suppression ◽  
Genome Wide ◽  
A Genome

Elucidation of the genetic control of rice architecture is crucial due to the global demand for high crop yields. Rice architecture is a complex trait affected by plant height, tillering, and panicle morphology. In this study, principal component analysis (PCA) on 8 typical traits related to plant architecture revealed that the first principal component (PC), PC1, provided the most information on traits that determine rice architecture. A genome-wide association study (GWAS) using PC1 as a dependent variable was used to isolate a gene encoding rice, SPINDLY (OsSPY), that activates the gibberellin (GA) signal suppression protein SLR1. The effect of GA signaling on the regulation of rice architecture was confirmed in 9 types of isogenic plant having different levels of GA responsiveness. Further population genetics analysis demonstrated that the functional allele of OsSPY associated with semidwarfism and small panicles was selected in the process of rice breeding. In summary, the use of PCA in GWAS will aid in uncovering genes involved in traits with complex characteristics.

scholarly journals Genomic Prediction of Growth and Stem Quality Traits in Eucalyptus globulus Labill. at Its Southernmost Distribution Limit in Chile

Forests ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 779 ◽  
Author(s):  
Paulina Ballesta ◽  
Nicolle Serra ◽  
Fernando Guerra ◽  
Rodrigo Hasbún ◽  
Freddy Mora
Keyword(s):  
Genomic Prediction ◽  
Eucalyptus Globulus ◽  
Growth Traits ◽  
Principal Component ◽  
Local Economy ◽  
Range Limit ◽  
Distribution Limit ◽  
Genome Wide ◽  
A Genome ◽  
Stem Straightness

The present study was undertaken to examine the ability of different genomic selection (GS) models to predict growth traits (diameter at breast height, tree height and wood volume), stem straightness and branching quality of Eucalyptus globulus Labill. trees using a genome-wide Single Nucleotide Polymorphism (SNP) chip (60 K), in one of the southernmost progeny trials of the species, close to its southern distribution limit in Chile. The GS methods examined were Ridge Regression-BLUP (RRBLUP), Bayes-A, Bayes-B, Bayesian least absolute shrinkage and selection operator (BLASSO), principal component regression (PCR), supervised PCR and a variant of the RRBLUP method that involves the previous selection of predictor variables (RRBLUP-B). RRBLUP-B and supervised PCR models presented the greatest predictive ability (PA), followed by the PCR method, for most of the traits studied. The highest PA was obtained for the branching quality (~0.7). For the growth traits, the maximum values of PA varied from 0.43 to 0.54, while for stem straightness, the maximum value of PA reached 0.62 (supervised PCR). The study population presented a more extended linkage disequilibrium (LD) than other populations of E. globulus previously studied. The genome-wide LD decayed rapidly within 0.76 Mbp (threshold value of r2 = 0.1). The average LD on all chromosomes was r2 = 0.09. In addition, the 0.15% of total pairs of linked SNPs were in a complete LD (r2 = 1), and the 3% had an r2 value >0.5. Genomic prediction, which is based on the reduction in dimensionality and variable selection may be a promising method, considering the early growth of the trees and the low-to-moderate values of heritability found in the traits evaluated. These findings provide new understanding of how develop novel breeding strategies for tree improvement of E. globulus at its southernmost range limit in Chile, which could represent new opportunities for forest planting that can benefit the local economy.

A panel of elite accessions of durum wheat (Triticum durum Desf.) suitable for association mapping studies

2006 ◽  
Vol 4 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Marco Maccaferri ◽  
Maria Corinna Sanguineti ◽  
Vincenzo Natoli ◽  
José Luis Araus Ortega ◽  
Moncef Ben Salem ◽  
...  
Keyword(s):  
Association Mapping ◽  
Durum Wheat ◽  
Gene Pools ◽  
Breeding Lines ◽  
Genome Wide ◽  
A Genome ◽  
High Heritability ◽  
Diverse Origin ◽  
Triticum Durum Desf ◽  
High Level

The effectiveness of association mapping (AM) based on linkage disequilibrium (LD) is currently being tested in a number of crops. An important prerequisite for the application of AM is the availability of collections of accessions with a suitable level of genetic variation for target traits and with limited spurious LD due to the presence of population structure. Herein, the results of a genome-wide molecular characterization of a collection of elite durum wheat accessions well-adapted to Mediterranean environments are presented. Ninety-seven highly polymorphic simple sequence repeats and 166 amplified fragment length polymorphism markers were used to characterize 189 durum accessions, mainly cultivars and advanced breeding lines. Genome-wide significant and sizeable LD indices at a centimorgan scale were observed, while LD mainly decayed within 10 cM. On the other hand, effects due to spurious LD were notably lower than those previously observed in a durum wheat collection sampling durum gene pools of more diverse origin. These results, coupled with the high level of genetic variability detected for a number of important morpho-physiological traits and their high heritability, indicate the suitability of this collection for AM studies targeting agronomically important traits.

scholarly journals Population Genomic Evidence Reveals Subtle Patterns of Differentiation in the Trophically Polymorphic Cuatro Ciénegas Cichlid, Herichthys minckleyi

2019 ◽  
Vol 110 (3) ◽  
pp. 361-369 ◽  
Author(s):  
Katherine L Bell ◽  
Chris C Nice ◽  
Darrin Hulsey
Keyword(s):  
Gene Flow ◽  
Biological Diversity ◽  
Molecular Genetic ◽  
Molecular Ecology ◽  
Cichlid Fish ◽  
Genome Wide ◽  
A Genome ◽  
The Face ◽  
Or Gene ◽  
Herichthys Minckleyi

Abstract In recent decades, an increased understanding of molecular ecology has led to a reinterpretation of the role of gene flow during the evolution of reproductive isolation and biological novelty. For example, even in the face of ongoing gene flow strong selection may maintain divergent polymorphisms, or gene flow may introduce novel biological diversity via hybridization and introgression from a divergent species. Herein, we elucidate the evolutionary history and genomic basis of a trophically polymorphic trait in a species of cichlid fish, Herichthys minckleyi. We explored genetic variation at 3 hierarchical levels; between H. minckleyi (n = 69) and a closely related species Herichthys cyanoguttatus (n = 10), between H. minckleyi individuals from 2 geographic locations, and finally between individuals with alternate morphotypes at both a genome-wide and locus-specific scale. We found limited support for the hypothesis that the H. minckleyi polymorphism is the result of ongoing hybridization between the 2 species. Within H. minckleyi we found evidence of geographic genetic structure, and using traditional population genetic analyses found that individuals of alternate morphotypes within a pool appear to be panmictic. However, when we used a locus-specific approach to examine the relationship between multi-locus genotype, tooth size, and geographic sampling, we found the first evidence for molecular genetic differences between the H. minckleyi morphotypes.

scholarly journals DETECTION OF SELECTION SIGNALS IN CATTLE POPULATIONS BY PCA

AGROFOR ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Barbora OLŠANSKÁ ◽  
Radovan KASARDA ◽  
Kristína LEHOCKÁ ◽  
Nina MORAVČÍKOVÁ
Keyword(s):  
Muscle Development ◽  
Principal Component ◽  
Coat Colour ◽  
Genome Wide ◽  
A Genome ◽  
Somatic Diversification ◽  
Close Genetic Relationship ◽  
Insight Into ◽  
Selection Of ◽  
Genome Wide Scan

The presented study provides a genome-wide scan of selection signals in cattle by principal component analysis (PCA). The aim was to identify SNP affected by intensive selection based on package PCAdapt implemented under software R. This analysis provided insight into the association between the SNP frequencies related to population differentiation. The four cattle populations were involved in the analysis (Slovak Spotted cattle, Ayrshire, Swiss Simmental and Holstein) with overall 272 of genotyped individuals. After applying quality control, the final dataset consisted of 35 675 SNPs, with an overall length of 2496.14 Mb and average space between adjacent SNP 70.03 ± 76.1 kb. After performing PCA analysis, the uniqueness of the breeds was revealed. On the other hand, a close genetic relationship and eleven SNPs affected by selection were found, with a position close to 162 genes involved in the various biological processes. The majority of genes were involved in the positive regulation of adenylate cyclase activity, embryo development and somatic diversification of immune receptors via somatic mutation. Several candidate genes for genetic control of the immune system (DNAJB9), muscle development (SEPT7, TRIM32, ROCK1, NRAP, PZDZ8, HSPA12A and FGFR2), milk production (SOCS5, CD46), reproduction (LHCGR, EEPD1, FSHR) and coat colour (KIT) were identified. Our results provide insights into the regions of the genome affected by the intensive selection of analysed cattle populations.

scholarly journals Inference of Population Genetic Structure and High Linkage Disequilibrium Among Alternaria spp. Collected from Tomato and Potato Using Genotyping by Sequencing

2019 ◽  
Author(s):  
Tika B. Adhikari ◽  
Brian J. Knaus ◽  
Niklaus J. Grünwald ◽  
Dennis Halterman ◽  
Frank J. Louws
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Plant Pathogens ◽  
Principal Component ◽  
Genotyping By Sequencing ◽  
Allelic Association ◽  
Nucleotide Polymorphisms ◽  
Entire Genome ◽  
Genome Wide ◽  
A Genome

ABSTRACTGenotyping by sequencing (GBS) is considered a powerful tool to discover single nucleotide polymorphisms (SNPs), which are useful to characterize closely related genomes of plant species and plant pathogens. We applied GBS to determine genome-wide variations in a panel of 187 isolates of three closely related Alternaria spp. that cause diseases on tomato and potato in North Carolina (NC) and Wisconsin (WI). To compare genetic variations, reads were mapped to both A. alternata and A. solani draft reference genomes and detected dramatic differences in SNPs among them. Comparison of A. linariae and A. solani populations by principal component analysis revealed the first (83.8% of variation) and second (8.0% of variation) components contained A. linariae from tomato in NC and A. solani from potato in WI, respectively, providing evidence of population structure. Genetic differentiation (Hedrick’s G’ST) in A. linariae populations from Haywood, Macon, and Madison counties in NC were little or no differentiated (G’ST 0.0 - 0.2). However, A. linariae population from Swain county appeared to be highly differentiated (G’ST > 0.8). To measure the strength of the linkage disequilibrium (LD), we also calculated the allelic association between pairs of loci. Lewontin’s D (measures the fraction of allelic variations) and physical distances provided evidence of linkage throughout the entire genome, consistent with the hypothesis of non-random association of alleles among loci. Our findings provide new insights into the understanding of clonal populations on a genome-wide scale and microevolutionary factors that might play an important role in population structure. Although we found limited genetic diversity, the three Alternaria spp. studied here are genetically distinct and each species is preferentially associated with one host.

scholarly journals The genomic impact of European colonization of the Americas

2019 ◽  
Author(s):  
Linda Ongaro ◽  
Marilia O. Scliar ◽  
Rodrigo Flores ◽  
Alessandro Raveane ◽  
Davide Marnetto ◽  
...  
Keyword(s):  
Gene Flow ◽  
Demographic History ◽  
Colonial Era ◽  
Genome Wide ◽  
A Genome ◽  
European Colonization ◽  
High Degree ◽  
The Impact ◽  
North And South America ◽  
North And South

AbstractThe human genetic diversity of the Americas has been shaped by several events of gene flow that have continued since the Colonial Era and the Atlantic slave trade. Moreover, multiple waves of migration followed by local admixture occurred in the last two centuries, the impact of which has been largely unexplored.Here we compiled a genome-wide dataset of ∼12,000 individuals from twelve American countries and ∼6,000 individuals from worldwide populations and applied haplotype-based methods to investigate how historical movements from outside the New World affected i) the genetic structure, ii) the admixture profile, iii) the demographic history and iv) sex-biased gene-flow dynamics, of the Americas.We revealed a high degree of complexity underlying the genetic contribution of European and African populations in North and South America, from both geographic and temporal perspectives, identifying previously unreported sources related to Italy, the Middle East and to specific regions of Africa.

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