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Dive into the research topics where Hans H. Cheng is active.

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Featured researches published by Hans H. Cheng.


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 | 2004

A physical map of the chicken genome

John W. Wallis; Jan Aerts; M. A. M. Groenen; R.P.M.A. Crooijmans; Dan Layman; Tina Graves; Debra E Scheer; Colin Kremitzki; Mary J Fedele; Nancy K Mudd; Marco Cardenas; Jamey Higginbotham; Jason Carter; Rebecca McGrane; Tony Gaige; Kelly Mead; Jason Walker; Derek Albracht; Jonathan Davito; Shiaw-Pyng Yang; Shin Leong; Asif T. Chinwalla; Mandeep Sekhon; Kristine M. Wylie; Jerry B. Dodgson; Michael N Romanov; Hans H. Cheng; Pieter J. de Jong; Kazutoyo Osoegawa; Mikhail Nefedov

Strategies for assembling large, complex genomes have evolved to include a combination of whole-genome shotgun sequencing and hierarchal map-assisted sequencing. Whole-genome maps of all types can aid genome assemblies, generally starting with low-resolution cytogenetic maps and ending with the highest resolution of sequence. Fingerprint clone maps are based upon complete restriction enzyme digests of clones representative of the target genome, and ultimately comprise a near-contiguous path of clones across the genome. Such clone-based maps are used to validate sequence assembly order, supply long-range linking information for assembled sequences, anchor sequences to the genetic map and provide templates for closing gaps. Fingerprint maps are also a critical resource for subsequent functional genomic studies, because they provide a redundant and ordered sampling of the genome with clones. In an accompanying paper we describe the draft genome sequence of the chicken, Gallus gallus, the first species sequenced that is both a model organism and a global food source. Here we present a clone-based physical map of the chicken genome at 20-fold coverage, containing 260 contigs of overlapping clones. This map represents approximately 91% of the chicken genome and enables identification of chicken clones aligned to positions in other sequenced genomes.


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.


Genetics | 2006

Genetic Mapping in a Natural Population of Collared Flycatchers (Ficedula albicollis): Conserved Synteny but Gene Order Rearrangements on the Avian Z Chromosome

Niclas Backström; Mikael Brandström; Lars Gustafsson; Anna Qvarnström; Hans H. Cheng; Hans Ellegren

Data from completely sequenced genomes are likely to open the way for novel studies of the genetics of nonmodel organisms, in particular when it comes to the identification and analysis of genes responsible for traits that are under selection in natural populations. Here we use the draft sequence of the chicken genome as a starting point for linkage mapping in a wild bird species, the collared flycatcher—one of the most well-studied avian species in ecological and evolutionary research. A pedigree of 365 flycatchers was established and genotyped for single nucleotide polymorphisms in 23 genes selected from (and spread over most of) the chicken Z chromosome. All genes were also found to be located on the Z chromosome in the collared flycatcher, confirming conserved synteny at the level of gene content across distantly related avian lineages. This high degree of conservation mimics the situation seen for the mammalian X chromosome and may thus be a general feature in sex chromosome evolution, irrespective of whether there is male or female heterogamety. Alternatively, such unprecedented chromosomal conservation may be characteristic of most chromosomes in avian genome evolution. However, several internal rearrangements were observed, meaning that the transfer of map information from chicken to nonmodel bird species cannot always assume conserved gene orders. Interestingly, the rate of recombination on the Z chromosome of collared flycatchers was only ∼50% that of chicken, challenging the widely held view that birds generally have high recombination rates.


Genome Biology | 2015

Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project

Leif Andersson; Alan Archibald; C. D. K. Bottema; Rudiger Brauning; Shane C. Burgess; Dave Burt; E. Casas; Hans H. Cheng; Laura Clarke; Christine Couldrey; Brian P. Dalrymple; Christine G. Elsik; Sylvain Foissac; Elisabetta Giuffra; M.A.M. Groenen; Ben J. Hayes; LuSheng S Huang; Hassan Khatib; James W. Kijas; Heebal Kim; Joan K. Lunney; Fiona M. McCarthy; J. C. McEwan; Stephen S. Moore; Bindu Nanduri; Cedric Notredame; Yniv Palti; Graham Plastow; James M. Reecy; G. A. Rohrer

We describe the organization of a nascent international effort, the Functional Annotation of Animal Genomes (FAANG) project, whose aim is to produce comprehensive maps of functional elements in the genomes of domesticated animal species.


Water Science and Technology | 1998

Beginning a molecular analysis of the eukaryal community in activated sludge

Terence L. Marsh; Wen Tso Liu; Larry J. Forney; Hans H. Cheng

As a means to furthering our understanding of the eukaryal community in activated sludge, we have applied contemporary molecular techniques to an activated sludge community maintained in a laboratory-scale bioreactor. The initial inoculum was derived from a local wastewater treatment facility in East Lansing, MI and maintained with continuous aeration and a daily feeding regime that included glucose and peptone. Samples were taken on a weekly basis for 5 weeks and community DNA was extracted from 2-5 ml of activated sludge. Using a variety of oligonucleotide primers specific to eukaryotic small subunit ribosomal DNA, we PCR amplified rDNA from the total community DNA. PCR products were analyzed by three techniques, denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (T-RFLP) and comparative sequence analysis of rDNA clones. Over the course of 5 weeks, analysis with DGGE revealed dramatic changes in the eukaryotic community based on differences in denaturation profiles. However, the analysis is limited to 5-6 bands corresponding to 5-6 different “ribotypes”. Analysis with T-RFLP also suggests changes to the eukaryotic community over time. Both increases and decreases in population size can be detected as a function of time. Up to 15 different terminal restriction fragments can be detected with T-RFLP indicating that this technique is considerably more sensitive than DGGE. Phylogenetic analysis of partial sequences from 11 cloned rDNAs indicate that all 11 clones are from the Ciliophora phylum .


BMC Genetics | 2009

Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken

Hendrik-Jan Megens; R.P.M.A. Crooijmans; J.W.M. Bastiaansen; Hindrik Hd Kerstens; Albart Coster; Ruud Jalving; Addie Vereijken; Pradeepa Silva; William M. Muir; Hans H. Cheng; Olivier Hanotte; M.A.M. Groenen

BackgroundThe chicken (Gallus gallus), like most avian species, has a very distinct karyotype consisting of many micro- and a few macrochromosomes. While it is known that recombination frequencies are much higher for micro- as compared to macrochromosomes, there is limited information on differences in linkage disequilibrium (LD) and haplotype diversity between these two classes of chromosomes. In this study, LD and haplotype diversity were systematically characterized in 371 birds from eight chicken populations (commercial lines, fancy breeds, and red jungle fowl) across macro- and microchromosomes. To this end we sampled four regions of ~1 cM each on macrochromosomes (GGA1 and GGA2), and four 1.5 -2 cM regions on microchromosomes (GGA26 and GGA27) at a high density of 1 SNP every 2 kb (total of 889 SNPs).ResultsAt a similar physical distance, LD, haplotype homozygosity, haploblock structure, and haplotype sharing were all lower for the micro- as compared to the macrochromosomes. These differences were consistent across populations. Heterozygosity, genetic differentiation, and derived allele frequencies were also higher for the microchromosomes. Differences in LD, haplotype variation, and haplotype sharing between populations were largely in line with known demographic history of the commercial chicken. Despite very low levels of LD, as measured by r2 for most populations, some haploblock structure was observed, particularly in the macrochromosomes, but the haploblock sizes were typically less than 10 kb.ConclusionDifferences in LD between micro- and macrochromosomes were almost completely explained by differences in recombination rate. Differences in haplotype diversity and haplotype sharing between micro- and macrochromosomes were explained by differences in recombination rate and genotype variation. Haploblock structure was consistent with demography of the chicken populations, and differences in recombination rates between micro- and macrochromosomes. The limited haploblock structure and LD suggests that future whole-genome marker assays will need 100+K SNPs to exploit haplotype information. Interpretation and transferability of genetic parameters will need to take into account the size of chromosomes in chicken, and, since most birds have microchromosomes, in other avian species as well.


G3: Genes, Genomes, Genetics | 2017

A New Chicken Genome Assembly Provides Insight into Avian Genome Structure

Wesley C. Warren; LaDeana W. Hillier; Chad Tomlinson; Patrick Minx; Milinn Kremitzki; Tina Graves; Chris Markovic; Nathan Bouk; Kim D. Pruitt; Françoise Thibaud-Nissen; Valerie Schneider; Tamer Mansour; C. Titus Brown; Aleksey V. Zimin; R. J. Hawken; Mitch Abrahamsen; Alexis B. Pyrkosz; Mireille Morisson; Valerie Fillon; Alain Vignal; William Chow; Kerstin Howe; Janet E. Fulton; Marcia M. Miller; Peter V. Lovell; Claudio V. Mello; Morgan Wirthlin; Andrew S. Mason; Richard Kuo; David W. Burt

The importance of the Gallus gallus (chicken) as a model organism and agricultural animal merits a continuation of sequence assembly improvement efforts. We present a new version of the chicken genome assembly (Gallus_gallus-5.0; GCA_000002315.3), built from combined long single molecule sequencing technology, finished BACs, and improved physical maps. In overall assembled bases, we see a gain of 183 Mb, including 16.4 Mb in placed chromosomes with a corresponding gain in the percentage of intact repeat elements characterized. Of the 1.21 Gb genome, we include three previously missing autosomes, GGA30, 31, and 33, and improve sequence contig length 10-fold over the previous Gallus_gallus-4.0. Despite the significant base representation improvements made, 138 Mb of sequence is not yet located to chromosomes. When annotated for gene content, Gallus_gallus-5.0 shows an increase of 4679 annotated genes (2768 noncoding and 1911 protein-coding) over those in Gallus_gallus-4.0. We also revisited the question of what genes are missing in the avian lineage, as assessed by the highest quality avian genome assembly to date, and found that a large fraction of the original set of missing genes are still absent in sequenced bird species. Finally, our new data support a detailed map of MHC-B, encompassing two segments: one with a highly stable gene copy number and another in which the gene copy number is highly variable. The chicken model has been a critical resource for many other fields of study, and this new reference assembly will substantially further these efforts.


Animal Biotechnology | 2005

IDENTIFICATION OF QTL FOR PRODUCTION TRAITS IN CHICKENS

C. Hansen; Nengjun Yi; Yuan-Ming Zhang; Shizhong Xu; Jan Gavora; Hans H. Cheng

ABSTRACT If the poultry industry hopes to continue to flourish, the identification of potential quantitative trait loci (QTL) for production-related traits must be pursued. This remains true despite the sequencing of the chicken genome. In view of this need, a scan of the chicken genome using 72 microsatellite markers was carried out on a meat-type × egg-type resource population measured for production and egg quality traits. Using a Bayesian analysis, potential QTL for a number of traits were identified on several chromosomes. Evidence of eight QTL regions associated with a total of eight traits (specific gravity, albumin height, Haugh score, shell shape, total number of eggs, final body weight, gain, and feed efficiency) was found. Two of these regions, one spanning the area of 263/287 cM on GAA01 and the other spanning the area of 23/28 cM on GAA02, were associated with multiple QTL.

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Mary E. Delany

University of California

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M.A.M. Groenen

Wageningen University and Research Centre

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R.P.M.A. Crooijmans

Wageningen University and Research Centre

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John R. Dunn

Agricultural Research Service

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Henry D. Hunt

United States Department of Agriculture

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Hsiao-Ching Liu

United States Department of Agriculture

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Huanmin Zhang

Agricultural Research Service

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