scholarly journals Complex population structure and haplotype patterns in Western Europe honey bee from sequencing a large panel of haploid drones

2021 ◽  
Author(s):  
David Wragg ◽  
Sonia E Eynard ◽  
Benjamin Basso ◽  
Kamila Canale-Tabet ◽  
Emmanuelle Labarthe ◽  
...  

Honey bee subspecies originate from specific geographic areas in Africa, Europe and the Middle East. The interest of beekeepers in specific phenotypes has led them to import subspecies to regions outside of their original range. The resulting admixture complicates population genetics analyses and populations stratification can be a major problem for association studies. As a typical example, the case of the French population is studied here. We sequenced 870 haploid drones for SNP detection and identified nine genetic backgrounds in 629 samples. Five correspond to subspecies, two to isolated populations and two to human-mediated population management. We also highlight several large haplotype blocks, some of which coinciding with the position of centromeres. The largest is 3.6 Mb long on chromosome 11, representing 1.6 % of the genome and has two major haplotypes, corresponding to the two dominant genetic background identified.

Cephalalgia ◽  
2015 ◽  
Vol 36 (7) ◽  
pp. 640-647 ◽  
Author(s):  
Else Eising ◽  
Christiaan de Leeuw ◽  
Josine L Min ◽  
Verneri Anttila ◽  
Mark HG Verheijen ◽  
...  

Background Migraine is a common episodic brain disorder characterized by recurrent attacks of severe unilateral headache and additional neurological symptoms. Two main migraine types can be distinguished based on the presence of aura symptoms that can accompany the headache: migraine with aura and migraine without aura. Multiple genetic and environmental factors confer disease susceptibility. Recent genome-wide association studies (GWAS) indicate that migraine susceptibility genes are involved in various pathways, including neurotransmission, which have already been implicated in genetic studies of monogenic familial hemiplegic migraine, a subtype of migraine with aura. Methods To further explore the genetic background of migraine, we performed a gene set analysis of migraine GWAS data of 4954 clinic-based patients with migraine, as well as 13,390 controls. Curated sets of synaptic genes and sets of genes predominantly expressed in three glial cell types (astrocytes, microglia and oligodendrocytes) were investigated. Discussion Our results show that gene sets containing astrocyte- and oligodendrocyte-related genes are associated with migraine, which is especially true for gene sets involved in protein modification and signal transduction. Observed differences between migraine with aura and migraine without aura indicate that both migraine types, at least in part, seem to have a different genetic background.


2018 ◽  
Vol 62 (2) ◽  
pp. 223-232
Author(s):  
Dylan Cleary ◽  
Allen L. Szalanski ◽  
Clinton Trammel ◽  
Mary-Kate Williams ◽  
Amber Tripodi ◽  
...  

Abstract A study was conducted on the mitochondrial DNA genetic diversity of feral colonies and swarms of Apis mellifera from ten counties in Utah by sequencing the intergenic region of the cytochrome oxidase (COI-COII) gene region. A total of 20 haplotypes were found from 174 honey bee colony samples collected from 2008 to 2017. Samples belonged to the A (African) (48%); C (Eastern Europe) (43%); M (Western Europe) (4%); and O (Oriental) lineages (5%). Ten African A lineage haplotypes were observed with two unique to Utah among A lineage haplotypes recorded in the US. Haplotypes belonging to the A lineage were observed from six Utah counties located in the southern portion of the State, from elevations as high as 1357 m. All five C lineage haplotypes that were found have been observed from queen breeders in the US. Three haplotypes of the M lineage (n=7) and two of the O lineage (n=9) were also observed. This study provides evidence that honey bees of African descent are both common and diverse in wild populations of honey bees in southern Utah. The high levels of genetic diversity of A lineage honey bee colonies in Utah provide evidence that the lineage may have been established in Utah before the introduction of A lineage honey bees from Brazil to Texas in 1990.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 1330-1330
Author(s):  
Toralf Bernig ◽  
Willemijn Breunis ◽  
Nannette Brouwer ◽  
Dirk Roos ◽  
Taco W. Kuijpers ◽  
...  

Abstract Mannose-binding protein (MBL) is a critical component of innate immunity and provides first-line protection against pathogens by binding to N-acetyl-glucosamine and mannose residues on the surface of microorganisms (bacteria, fungi and parasites). MBL can activate complement by the lectin pathway. Both circulating MBL serum levels and functional activity have been correlated with common genetic variants in the MBL2 gene; decreased levels and activity correlate with 3 nonsynonymous single nucleotide polymorphisms, SNPs, (known as B, C and D) in exon 1 and two linked promoter SNPs (−550 H/L and −221 Y/X) as well as a 5′UTR SNP (+4 P/Q) influence circulating levels. These components form the “secretor haplotypes”, which correlate with circulating levels. A number of studies have reported associations between MBL deficiency and recurrent or severe infections, especially in immuno-incompetent patients (i.e., BMT recipients, cancer patients, and infants) or in auto-immune disorders; however, measured MBL serum levels do not fully correlate with the “secretor haplotypes”. Based on data from a re-sequence analysis across the entire MBL2 locus, in which we revealed a probable recombination hotspot in the 3′ end of the gene dividing MBL2 into two haplotype blocks, we investigated whether the extended block structure might identify additional SNPs that contribute to MBL serum levels and activity. We analysed more than 20 common SNPs across the locus, including haplotype-tagging SNPs (htSNPs) with Taqman assays validated on the SNP500 website (http://snp500cancer.nci.nih.gov); we captured more than 95% of common haplotypes in both the 5′ and 3′ haplotype blocks. Our pilot analysis was performed in 235 DNA samples of healthy Dutch Caucasian blood donors with known MBL serum concentrations measured by ELISA. Haplotypes were deduced by maximization-estimation analysis of unphased genotypes; PHASE 2.0 (http://www.stat.washington.edu/stephens/software.html). The haplotype analysis of the results confirmed the haplotype block structure of MBL2 in the Dutch population. The additional 5′ variants tested in this study were in strong linkage to the elements of the “secretor haplotypes”; functional alleles B, C and D also lie on restricted haplotypes. As reported by others, in our study, the secretor haplotypes predicted levels in roughly 85%. Four variants in the 3′ block (Ex4–1483T>C, Ex4–1067G>A, Ex4–901G>A and Ex4–710G>A) lie in 3 common haplotypes (TAAA, CGGG and TGAA) that strongly correlate with MBL serum concentration (Kruskal-Wallis p < 0.0001); individuals with at least one TAAA allele have a higher serum concentration. Thus, it is also possible that both 5′ and the 3′ haplotypes could contribute to serum levels. This suggests that there could be a selective advantage for diversification of the 3′ region of the gene, perhaps altering expression or stability (to be analyzed in follow-up studies). Our data provide evidence that there are additional SNPs in regulatory elements of MBL2, which could influence circulating levels. These observations could improve the predictive value of locus-wide analysis of MBL2 in genetic association studies.


PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e40126
Author(s):  
Kelsey J. Weigel ◽  
Laura Rues ◽  
Edward J. Doyle ◽  
Cassandra L. Buchheit ◽  
John G. Wood ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rui Zhang ◽  
Chang Liu ◽  
Kai Yuan ◽  
Xumin Ni ◽  
Yuwen Pan ◽  
...  

Abstract Background Computer simulations have been widely applied in population genetics and evolutionary studies. A great deal of effort has been made over the past two decades in developing simulation tools. However, there are not many simulation tools suitable for studying population admixture. Results We here developed a forward-time simulator, AdmixSim 2, an individual-based tool that can flexibly and efficiently simulate population genomics data under complex evolutionary scenarios. Unlike its previous version, AdmixSim 2 is based on the extended Wright-Fisher model, and it implements many common evolutionary parameters to involve gene flow, natural selection, recombination, and mutation, which allow users to freely design and simulate any complex scenario involving population admixture. AdmixSim 2 can be used to simulate data of dioecious or monoecious populations, autosomes, or sex chromosomes. To our best knowledge, there are no similar tools available for the purpose of simulation of complex population admixture. Using empirical or previously simulated genomic data as input, AdmixSim 2 provides phased haplotype data for the convenience of further admixture-related analyses such as local ancestry inference, association studies, and other applications. We here evaluate the performance of AdmixSim 2 based on simulated data and validated functions via comparative analysis of simulated data and empirical data of African American, Mexican, and Uyghur populations. Conclusions AdmixSim 2 is a flexible simulation tool expected to facilitate the study of complex population admixture in various situations.


2021 ◽  
Author(s):  
Xing Wu ◽  
Wei Jiang ◽  
Christopher Fragoso ◽  
Jing Huang ◽  
Geyu Zhou ◽  
...  

Genome wide association studies (GWAS) can play an essential role in understanding genetic basis of complex traits in plants and animals. Conventional SNP-based linear mixed models (LMM) used in many GWAS that marginally test single nucleotide polymorphisms (SNPs) have successfully identified many loci with major and minor effects. In plants, the relatively small population size in GWAS and the high genetic diversity found many plant species can impede mapping efforts on complex traits. Here we present a novel haplotype-based trait fine-mapping framework, HapFM, to supplement current GWAS methods. HapFM uses genotype data to partition the genome into haplotype blocks, identifies haplotype clusters within each block, and then performs genome-wide haplotype fine-mapping to infer the causal haplotype blocks of trait. We benchmarked HapFM, GEMMA, BSLMM, and GMMAT in both simulation and real plant GWAS datasets. HapFM consistently resulted in higher mapping power than the other GWAS methods in simulations with high polygenicity. Moreover, it resulted in higher mapping resolution, especially in regions of high LD, by identifying small causal blocks in the larger haplotype block. In the Arabidopsis flowering time (FT10) datasets, HapFM identified four novel loci compared to GEMMA results, and its average mapping interval of HapFM was 9.6 times smaller than that of GEMMA. In conclusion, HapFM is tailored for plant GWAS to result in high mapping power on complex traits and improved mapping resolution to facilitate crop improvement.


2021 ◽  
pp. 030573562110506
Author(s):  
Clémence Nineuil ◽  
Delphine Dellacherie ◽  
Séverine Samson

The aim of this study was to obtain French affective norms for the film music stimulus set (FMSS). This data set consists of a relatively homogeneous series of musical stimuli made up of film music excerpts, known to trigger strong emotion. The 97 musical excerpts were judged by 194 native French participants using a simplified normative procedure in order to assess valence and arousal judgments. This normalization will (1) provide researchers with standardized rated affective music to be used with a French population, (2) enable the investigation of individual listeners’ differing emotional judgments, and (3) explore how cultural differences affect the ratings of musical stimuli. Our results, in line with those obtained in Finland and Spain, demonstrated the FMSS to be robust and interculturally valid within Western Europe. Age, sex, education, and musical training were not found to have any effects on emotional judgments. In conclusion, this study provides the scientific community with a standardized-stimulus set of musical excerpts whose emotional valence and arousal have been validated by a sampling of the French population.


1999 ◽  
Vol 29 (6) ◽  
pp. 1449-1454 ◽  
Author(s):  
A. McQUILLIN ◽  
J. LAWRENCE ◽  
D. CURTIS ◽  
G. KALSI ◽  
C. SMYTH ◽  
...  

Background. Linkage and association studies have suggested genetic susceptibility to bipolar affective disorder in a region of chromosome 11 around the tyrosine hydroxylase locus. We attempted to test the hypothesis that there was allelic association between polymorphisms around the tyrosine hydroxylase locus and bipolar affective disorder.Methods. A case–control association study was employed using four polymorphic markers, which span a region of approximately 2 cM across the tyrosine hydroxylase locus.Results. No evidence for allelic association between bipolar affective disorder and any of these markers was found. However, linkage disequilibrium between the markers was detected.Conclusions. This finding diminishes the probability that genes in this region influence susceptibility to bipolar affective disorder, at least in our sample.


2016 ◽  
Author(s):  
Alessia Visconti ◽  
Mashael Al-Shafai ◽  
Wadha A. Al Muftah ◽  
Shaza B. Zaghlool ◽  
Massimo Mangino ◽  
...  

AbstractFamily-based designs, from twin studies to isolated populations with their complex genealogical data, are a valuable resource for genetic studies of heritable molecular biomarkers. Existing software for family-based studies have mainly focused on facilitating association between response phenotypes and genetic markers, and no user-friendly tools are at present available to straightforwardly extend association studies in related samples to large datasets of generic quantitative data, as those generated by current -omics technologies.We developed PopPAnTe, a user-friendly Java program, which evaluates the association of quantitative data in related samples. Additionally, Pop-PAnTe implements data pre and post processing, region based testing, and empirical assessment of associations.PopPAnTe is an integrated and flexible framework for pairwise association testing in related samples with a large number of predictors and response variables. It works either with family data of any size and complexity, or, when the genealogical information is unknown, it uses genetic similarity information between individuals as those inferred from genome-wide genetic data. It can therefore be particularly useful in facilitating usage of biobank data collections from population isolates when extensive genealogical information is missing.


PLoS Genetics ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. e1009241
Author(s):  
Alejandro Ochoa ◽  
John D. Storey

FST and kinship are key parameters often estimated in modern population genetics studies in order to quantitatively characterize structure and relatedness. Kinship matrices have also become a fundamental quantity used in genome-wide association studies and heritability estimation. The most frequently-used estimators of FST and kinship are method-of-moments estimators whose accuracies depend strongly on the existence of simple underlying forms of structure, such as the independent subpopulations model of non-overlapping, independently evolving subpopulations. However, modern data sets have revealed that these simple models of structure likely do not hold in many populations, including humans. In this work, we analyze the behavior of these estimators in the presence of arbitrarily-complex population structures, which results in an improved estimation framework specifically designed for arbitrary population structures. After generalizing the definition of FST to arbitrary population structures and establishing a framework for assessing bias and consistency of genome-wide estimators, we calculate the accuracy of existing FST and kinship estimators under arbitrary population structures, characterizing biases and estimation challenges unobserved under their originally-assumed models of structure. We then present our new approach, which consistently estimates kinship and FST when the minimum kinship value in the dataset is estimated consistently. We illustrate our results using simulated genotypes from an admixture model, constructing a one-dimensional geographic scenario that departs nontrivially from the independent subpopulations model. Our simulations reveal the potential for severe biases in estimates of existing approaches that are overcome by our new framework. This work may significantly improve future analyses that rely on accurate kinship and FST estimates.


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