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Dive into the research topics where M.A.M. Groenen is active.

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Featured researches published by M.A.M. Groenen.


PLOS ONE | 2009

Design of a high density SNP genotyping assay in the pig using SNPs identified and characterized by next generation sequencing technology

A. M. Ramos; R.P.M.A. Crooijmans; Nabeel A. Affara; Andreia J. Amaral; Alan Archibald; Jonathan E. Beever; Christian Bendixen; Carol Churcher; Richard Clark; Patrick Dehais; Mark Hansen; Jakob Hedegaard; Zhi-Liang Hu; Hindrik Hd Kerstens; Andy Law; Hendrik-Jan Megens; Denis Milan; D. J. Nonneman; G. A. Rohrer; Max F. Rothschild; T. P. L. Smith; Robert D. Schnabel; Curt P. Van Tassell; Jeremy F. Taylor; Ralph T Wiedmann; Lawrence B. Schook; M.A.M. Groenen

Background The dissection of complex traits of economic importance to the pig industry requires the availability of a significant number of genetic markers, such as single nucleotide polymorphisms (SNPs). This study was conducted to discover several hundreds of thousands of porcine SNPs using next generation sequencing technologies and use these SNPs, as well as others from different public sources, to design a high-density SNP genotyping assay. Methodology/Principal Findings A total of 19 reduced representation libraries derived from four swine breeds (Duroc, Landrace, Large White, Pietrain) and a Wild Boar population and three restriction enzymes (AluI, HaeIII and MspI) were sequenced using Illuminas Genome Analyzer (GA). The SNP discovery effort resulted in the de novo identification of over 372K SNPs. More than 549K SNPs were used to design the Illumina Porcine 60K+SNP iSelect Beadchip, now commercially available as the PorcineSNP60. A total of 64,232 SNPs were included on the Beadchip. Results from genotyping the 158 individuals used for sequencing showed a high overall SNP call rate (97.5%). Of the 62,621 loci that could be reliably scored, 58,994 were polymorphic yielding a SNP conversion success rate of 94%. The average minor allele frequency (MAF) for all scorable SNPs was 0.274. Conclusions/Significance Overall, the results of this study indicate the utility of using next generation sequencing technologies to identify large numbers of reliable SNPs. In addition, the validation of the PorcineSNP60 Beadchip demonstrated that the assay is an excellent tool that will likely be used in a variety of future studies in pigs.


web science | 1995

THE PIGMAP CONSORTIUM LINKAGE MAP OF THE PIG (SUS SCROFA).

Alan Archibald; Chris Haley; J. F. Brown; S. Couperwhite; H A McQueen; D. Nicholson; W. Coppieters; A. Van de Weghe; A. Stratil; Anne Katrine Winterø; Merete Fredholm; N. J. Larsen; Vivi Hunnicke Nielsen; Denis Milan; N. Woloszyn; Annie Robic; M. Dalens; Juliette Riquet; J. Gellin; J. C. Caritez; G. Burgaud; L. Ollivier; J. P. Bidanel; Marcel Vaiman; Christine Renard; H. Geldermann; R. Davoli; D. Ruyter; E. J. M. Verstege; M.A.M. Groenen

A linkage map of the porcine genome has been developed by segregation analysis of 239 genetic markers. Eighty-one of these markers correspond to known genes. Linkage groups have been assigned to all 18 autosomes plus the X Chromosome (Chr). As 69 of the markers on the linkage map have also been mapped physically (by others), there is significant integration of linkage and physical map data. Six informative markers failed to show linkage to these maps. As in other species, the genetic map of the heterogametic sex (male) was significantly shorter (∼16.5 Morgans) than the genetic map of the homogametic sex (female) (∼21.5 Morgans). The sex-averaged genetic map of the pig was estimated to be ∼18 Morgans in length. Mapping information for 61 Type I loci (genes) enhances the contribution of the pig gene map to comparative gene mapping. Because the linkage map incorporates both highly polymorphic Type II loci, predominantly microsatellites, and Type I loci, it will be useful both for large experiments to map quantitative trait loci and for the subsequent isolation of trait genes following a comparative and candidate gene approach.


PLOS Biology | 2010

Multi-platform next-generation sequencing of the domestic Turkey (Meleagris gallopavo): Genome assembly and analysis

Rami A. Dalloul; Julie A Long; Aleksey V. Zimin; Luqman Aslam; Kathryn Beal; Le Ann Blomberg; Pascal Bouffard; David W. Burt; Oswald Crasta; R.P.M.A. Crooijmans; Kristal L. Cooper; Roger A. Coulombe; Supriyo De; Mary E. Delany; Jerry B. Dodgson; Jennifer J Dong; Clive Evans; Karin M. Frederickson; Paul Flicek; Liliana Florea; Otto Folkerts; M.A.M. Groenen; Tim Harkins; Javier Herrero; Steve Hoffmann; Hendrik-Jan Megens; Andrew Jiang; Pieter J. de Jong; Peter K. Kaiser; Heebal Kim

The combined application of next-generation sequencing platforms has provided an economical approach to unlocking the potential of the turkey genome.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Strong signatures of selection in the domestic pig genome

Carl-Johan Rubin; Hendrik-Jan Megens; Alvaro Martinez Barrio; Khurram Maqbool; Shumaila Sayyab; Doreen Schwochow; Chao Wang; Örjan Carlborg; Patric Jern; Claus B. Jørgensen; Alan Archibald; Merete Fredholm; M.A.M. Groenen; Leif Andersson

Domestication of wild boar (Sus scrofa) and subsequent selection have resulted in dramatic phenotypic changes in domestic pigs for a number of traits, including behavior, body composition, reproduction, and coat color. Here we have used whole-genome resequencing to reveal some of the loci that underlie phenotypic evolution in European domestic pigs. Selective sweep analyses revealed strong signatures of selection at three loci harboring quantitative trait loci that explain a considerable part of one of the most characteristic morphological changes in the domestic pig—the elongation of the back and an increased number of vertebrae. The three loci were associated with the NR6A1, PLAG1, and LCORL genes. The latter two have repeatedly been associated with loci controlling stature in other domestic animals and in humans. Most European domestic pigs are homozygous for the same haplotype at these three loci. We found an excess of derived nonsynonymous substitutions in domestic pigs, most likely reflecting both positive selection and relaxed purifying selection after domestication. Our analysis of structural variation revealed four duplications at the KIT locus that were exclusively present in white or white-spotted pigs, carrying the Dominant white, Patch, or Belt alleles. This discovery illustrates how structural changes have contributed to rapid phenotypic evolution in domestic animals and how alleles in domestic animals may evolve by the accumulation of multiple causative mutations as a response to strong directional selection.


Genetics Selection Evolution | 2003

Biodiversity of 52 chicken populations assessed by microsatellite typing of DNA pools

M.A.M. Groenen; Michèle Tixier-Boichard; Abraham B. Korol; Lior David; Valery M. Kirzhner; Terry Burke; Asili Barre-Dirie; R.P.M.A. Crooijmans; Kari Elo; Marcus W. Feldman; Paul J. Freidlin; Asko Mäki-Tanila; Marian Oortwijn; Pippa Thomson; Alain Vignal; Klaus Wimmers; Steffen Weigend

In a project on the biodiversity of chickens funded by the European Commission (EC), eight laboratories collaborated to assess the genetic variation within and between 52 populations from a wide range of chicken types. Twenty-two di-nucleotide microsatellite markers were used to genotype DNA pools of 50 birds from each population. The polymorphism measures for the average, the least polymorphic population (inbred C line) and the most polymorphic population (Gallus gallus spadiceus) were, respectively, as follows: number of alleles per locus, per population: 3.5, 1.3 and 5.2; average gene diversity across markers: 0.47, 0.05 and 0.64; and proportion of polymorphic markers: 0.91, 0.25 and 1.0. These were in good agreement with the breeding history of the populations. For instance, unselected populations were found to be more polymorphic than selected breeds such as layers. Thus DNA pools are effective in the preliminary assessment of genetic variation of populations and markers. Mean genetic distance indicates the extent to which a given population shares its genetic diversity with that of the whole tested gene pool and is a useful criterion for conservation of diversity. The distribution of population-specific (private) alleles and the amount of genetic variation shared among populations supports the hypothesis that the red jungle fowl is the main progenitor of the domesticated chicken.


Genome Research | 2008

A high-density SNP-based linkage map of the chicken genome reveals sequence features correlated with recombination rate

M.A.M. Groenen; Per Wahlberg; Mario Foglio; Hans H. Cheng; Hendrik-Jan Megens; R.P.M.A. Crooijmans; Francois Besnier; Mark Lathrop; William M. Muir; Gane Ka-Shu Wong; Ivo Gut; Leif Andersson

The resolution of the chicken consensus linkage map has been dramatically improved in this study by genotyping 12,945 single nucleotide polymorphisms (SNPs) on three existing mapping populations in chicken: the Wageningen (WU), East Lansing (EL), and Uppsala (UPP) mapping populations. As many as 8599 SNPs could be included, bringing the total number of markers in the current consensus linkage map to 9268. The total length of the sex average map is 3228 cM, considerably smaller than previous estimates using the WU and EL populations, reflecting the higher quality of the new map. The current map consists of 34 linkage groups and covers at least 29 of the 38 autosomes. Sex-specific analysis and comparisons of the maps based on the three individual populations showed prominent heterogeneity in recombination rates between populations, but no significant heterogeneity between sexes. The recombination rates in the F(1) Red Jungle fowl/White Leghorn males and females were significantly lower compared with those in the WU broiler population, consistent with a higher recombination rate in purebred domestic animals under strong artificial selection. The recombination rate varied considerably among chromosomes as well as along individual chromosomes. An analysis of the sequence composition at recombination hot and cold spots revealed a strong positive correlation between GC-rich sequences and high recombination rates. The GC-rich cohesin binding sites in particular stood out from other GC-rich sequences with a 3.4-fold higher density at recombination hot spots versus cold spots, suggesting a functional relationship between recombination frequency and cohesin binding.


Nature Genetics | 2013

The duck genome and transcriptome provide insight into an avian influenza virus reservoir species

Yinhua Huang; Yingrui Li; David W. Burt; Hualan Chen; Yong Zhang; Wubin Qian; Heebal Kim; Shangquan Gan; Yiqiang Zhao; Jianwen Li; Kang Yi; Huapeng Feng; Pengyang Zhu; Bo Li; Qiuyue Liu; Suan Fairley; Katharine E. Magor; Zhenlin Du; Xiaoxiang Hu; Laurie Goodman; Hakim Tafer; Alain Vignal; Taeheon Lee; Kyu-Won Kim; Zheya Sheng; Yang An; Steve Searle; Javier Herrero; M.A.M. Groenen; Richard P.M.A. Crooijmans

The duck (Anas platyrhynchos) is one of the principal natural hosts of influenza A viruses. We present the duck genome sequence and perform deep transcriptome analyses to investigate immune-related genes. Our data indicate that the duck possesses a contractive immune gene repertoire, as in chicken and zebra finch, and this repertoire has been shaped through lineage-specific duplications. We identify genes that are responsive to influenza A viruses using the lung transcriptomes of control ducks and ones that were infected with either a highly pathogenic (A/duck/Hubei/49/05) or a weakly pathogenic (A/goose/Hubei/65/05) H5N1 virus. Further, we show how the ducks defense mechanisms against influenza infection have been optimized through the diversification of its β-defensin and butyrophilin-like repertoires. These analyses, in combination with the genomic and transcriptomic data, provide a resource for characterizing the interaction between host and influenza viruses.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Genome-wide assessment of worldwide chicken SNP genetic diversity indicates significant absence of rare alleles in commercial breeds

William M. Muir; Gane Ka-Shu Wong; Yong Zhang; Jun Wang; M.A.M. Groenen; R.P.M.A. Crooijmans; Hendrik-Jan Megens; Huanmin Zhang; Ron Okimoto; Addie Vereijken; Annemieke Jungerius; Gerard A. A. Albers; Cindy Taylor Lawley; Mary E. Delany; Sean MacEachern; Hans H. Cheng

Breed utilization, genetic improvement, and industry consolidation are predicted to have major impacts on the genetic composition of commercial chickens. Consequently, the question arises as to whether sufficient genetic diversity remains within industry stocks to address future needs. With the chicken genome sequence and more than 2.8 million single-nucleotide polymorphisms (SNPs), it is now possible to address biodiversity using a previously unattainable metric: missing alleles. To achieve this assessment, 2551 informative SNPs were genotyped on 2580 individuals, including 1440 commercial birds. The proportion of alleles lacking in commercial populations was assessed by (1) estimating the global SNP allele frequency distribution from a hypothetical ancestral population as a reference, then determining the portion of the distribution lost, and then (2) determining the relationship between allele loss and the inbreeding coefficient. The results indicate that 50% or more of the genetic diversity in ancestral breeds is absent in commercial pure lines. The missing genetic diversity resulted from the limited number of incorporated breeds. As such, hypothetically combining stocks within a company could recover only preexisting within-breed variability, but not more rare ancestral alleles. We establish that SNP weights act as sentinels of biodiversity and provide an objective assessment of the strains that are most valuable for preserving genetic diversity. This is the first experimental analysis investigating the extant genetic diversity of virtually an entire agricultural commodity. The methods presented are the first to characterize biodiversity in terms of allelic diversity and to objectively link rate of allele loss with the inbreeding coefficient.


BMC Genomics | 2011

The development and characterization of a 60K SNP chip for chicken

M.A.M. Groenen; Hendrik Jan Megens; Yalda Zare; Wesley C. Warren; LaDeana W. Hillier; R.P.M.A. Crooijmans; Addie Vereijken; Ron Okimoto; William M. Muir; Hans H. Cheng

BackgroundIn livestock species like the chicken, high throughput single nucleotide polymorphism (SNP) genotyping assays are increasingly being used for whole genome association studies and as a tool in breeding (referred to as genomic selection). To be of value in a wide variety of breeds and populations, the success rate of the SNP genotyping assay, the distribution of the SNP across the genome and the minor allele frequencies (MAF) of the SNPs used are extremely important.ResultsWe describe the design of a moderate density (60k) Illumina SNP BeadChip in chicken consisting of SNPs known to be segregating at high to medium minor allele frequencies (MAF) in the two major types of commercial chicken (broilers and layers). This was achieved by the identification of 352,303 SNPs with moderate to high MAF in 2 broilers and 2 layer lines using Illumina sequencing on reduced representation libraries. To further increase the utility of the chip, we also identified SNPs on sequences currently not covered by the chicken genome assembly (Gallus_gallus-2.1). This was achieved by 454 sequencing of the chicken genome at a depth of 12x and the identification of SNPs on 454-derived contigs not covered by the current chicken genome assembly. In total we added 790 SNPs that mapped to 454-derived contigs as well as 421 SNPs with a position on Chr_random of the current assembly. The SNP chip contains 57,636 SNPs of which 54,293 could be genotyped and were shown to be segregating in chicken populations. Our SNP identification procedure appeared to be highly reliable and the overall validation rate of the SNPs on the chip was 94%. We were able to map 328 SNPs derived from the 454 sequence contigs on the chicken genome. The majority of these SNPs map to chromosomes that are already represented in genome build Gallus_gallus-2.1.0. Twenty-eight SNPs were used to construct two new linkage groups most likely representing two micro-chromosomes not covered by the current genome assembly.ConclusionsThe high success rate of the SNPs on the Illumina chicken 60K Beadchip emphasizes the power of Next generation sequence (NGS) technology for the SNP identification and selection step. The identification of SNPs from sequence contigs derived from NGS sequencing resulted in improved coverage of the chicken genome and the construction of two new linkage groups most likely representing two chicken micro-chromosomes.


BMC Genomics | 2010

Pig genome sequence - analysis and publication strategy

Alan Archibald; Lars Bolund; Carol Churcher; Merete Fredholm; M.A.M. Groenen; B. Harlizius; Kyung Tai Lee; Denis Milan; Jane Rogers; Max F. Rothschild; Hirohide Uenishi; Jun Wang; Lawrence B. Schook

BackgroundThe pig genome is being sequenced and characterised under the auspices of the Swine Genome Sequencing Consortium. The sequencing strategy followed a hybrid approach combining hierarchical shotgun sequencing of BAC clones and whole genome shotgun sequencing.ResultsAssemblies of the BAC clone derived genome sequence have been annotated using the Pre-Ensembl and Ensembl automated pipelines and made accessible through the Pre-Ensembl/Ensembl browsers. The current annotated genome assembly (Sscrofa9) was released with Ensembl 56 in September 2009. A revised assembly (Sscrofa10) is under construction and will incorporate whole genome shotgun sequence (WGS) data providing > 30× genome coverage. The WGS sequence, most of which comprise short Illumina/Solexa reads, were generated from DNA from the same single Duroc sow as the source of the BAC library from which clones were preferentially selected for sequencing. In accordance with the Bermuda and Fort Lauderdale agreements and the more recent Toronto Statement the data have been released into public sequence repositories (Genbank/EMBL, NCBI/Ensembl trace repositories) in a timely manner and in advance of publication.ConclusionsIn this marker paper, the Swine Genome Sequencing Consortium (SGSC) sets outs its plans for analysis of the pig genome sequence, for the application and publication of the results.

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R.P.M.A. Crooijmans

Wageningen University and Research Centre

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Hendrik-Jan Megens

Wageningen University and Research Centre

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J.J. van der Poel

Wageningen University and Research Centre

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H. Bovenhuis

Wageningen University and Research Centre

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Ole Madsen

Wageningen University and Research Centre

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J.A.M. van Arendonk

Wageningen University and Research Centre

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B. Harlizius

Wageningen University and Research Centre

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Mirte Bosse

Wageningen University and Research Centre

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S.J.B. Cornelissen

Wageningen University and Research Centre

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