SAES-422 Multistate Research Activity Accomplishments Report

Status: Approved

Basic Information

Participants

The NRSP-8 business meeting was preceded by workshops for all species and area subcommittees as well as a combined Animal Genome Workshop, which contained four plenary presentations. Professor Morris Soller gave the 2011 NRSP-8 Distinguished Lecture. The business meeting was called to order by Chris Bidwell, the 2011 NRSP-8 Chair and recorded by Geoff Waldbieser, Secretary, with 43 members and guests in attendance. The 2009 minutes were approved unanimously. Noelle Cockett, who presented the 2010 Distinguished Lecture, was honored with a commemorative plaque to recognize her efforts in small ruminant genomics. Species/area coordinator reports were given for Aquaculture, Bioinformatics, Cattle, Equine, Poultry, Sheep/Goat, and Swine. Colin Kaltenbach and Muquarrab Qureshi provided administrative reports. Geoff Waldbieser, USDA-ARS assumed the NRSP-8 Chair for 2011-2012. Tom Porter, University of Maryland was elected as Secretary for 2011-2012. A motion to hold the 2012 meeting in conjunction with the Plant and Animal Genome conference was approved unanimously. The meeting was adjourned.

Accomplishments

Overview The NRSP-8 participants and their collaborators have far reaching national and international impact on basic discovery and application of genomics to animal agriculture with over 220 peer-reviewed publications in 2010. The community has rapidly adopted new genomics technologies including high-throughput short read sequencing, high density SNP detection and several types of microarrays to sequence genomes, generate high quality genetic maps and analyze gene expression of a rapidly increasing number of species. The NRSP-8 has facilitated the transfer of experience from the earliest species with sequenced genomes to the current efforts to produce higher quality integrated genetic maps and genome sequences. The NRSP-8 participants and their collaborators are using genomics technology, bioinformatics resources and diverse animal models to investigate fundamental mechanisms affecting production efficiency, product quality, animal health, disease resistance and food safety. Genomics technology has been successfully adopted for genetic selection programs for some sectors of animal agriculture. Some species pose unique challenges for the application of genomics technology due to the complex structures of brood stock development. NRSP-8 participants are also working to solve those challenges as genomics technologies and capabilities to predict genetic merit are evolving. The NRSP-8 has fostered the development of critical technical and information resources for animal genomics in the USA and throughout the world. The annual NRSP-8 workshops have become an essential component for development of collaborations, training and dissemination of new information to government, academic and industry stakeholders in animal agriculture. The annual NRSP-8 meetings comprised of Aquaculture, Cattle/Sheep/Goat, Equine, Poultry and Swine workshops was held in conjunction with the XIX International Plant and Animal Genome conference in San Diego, CA on January 15-16, 2011. There were 572 registered participants with specific interests in animal genomics. Attendance in the various NRSP-8 workshops ranged from 60 to 250 people from 10-15 different countries. The following report summarizes 2010 reports from the species/area technical reports from subcommittee/workshop chairs based on experiment station reports of the participants. Annual reports from the species/area coordinators can be found (NIMSS site here) & Aquaculture Technical Report Genome Sequencing: The Oyster Genome Consortium was successful in establishing a whole genome sequencing project for the Pacific oyster (Crassostrea gigas). Sequencing and assembly of a catfish reference genome is also underway with participants from ARS Catfish Genetics Research Unit, Auburn U., USDA-ARS Bovine Functional Genomics Laboratory, and U. of British Columbia. Gene transcripts from various tissues of multiple individual catfish with diverse genetic background were also sequenced. Projects to identify EST and define the transcriptomes of various tissues were conducted in catfish, rainbow trout, brook trout and striped bass. Genome Mapping: The USDA-ARS National Center for Cool & Cold Water Aquaculture (NCCCWA) rainbow trout map was used for producing a first generation integrated physical and genetic map. A high density RAD (restricted site associated DNA) genetic map of Swanson x Whale Rock recombinant double haploids is being constructed using approximately 7,600 SNPs to aid in future assembly of a reference genome sequence for trout. The 2nd generation NCCCWA rainbow trout genetic map is now available through G-browser at the Animal Genome website of the NRSP-8 bioinformatics group. A first SNP genetic map for Pacific white shrimp was built with 418 SNP markers mapped onto 45 sex-averaged linkage groups. This SNP genetic map lays the foundation for future shrimp genomics studies. Scientists from the USDA-ARS NCCCWA, VIMS and N. Carolina State U. (NCSU) developed a linkage map for striped bass by genotyping two half-sib families at 289 microsatellite DNA markers and assembled a map with 26 linkage groups. The USDA-ARS SNARC generated 192 crosses of Morone using National Breeding Program foundation stocks and completed studies evaluating heritability of phenotypic variation growth of hybrid striped bass as tank-reared fingerlings. Scientists from SNARC and the U. Arkansas at Pine Bluff evaluated the genetic and phenotypic influence of parental traits on hybrid striped basslarval size and quality, and the influence of genetic factors on metabolic and stress-related traits, discovering that female phenotype does not significantly affect larval traits (e.g. growth) but that genotype does have a significant affect. This finding is significant because any increase in larval size at hatch resulting from selection would reduce the need for live feeds, which could make year-round tank production of fry and fingerlings economically viable for industry. SNARC and NCSU researchers also distributed advanced fingerlings and mature broodfish from National Breeding Program stocks to HSB producers engaged in propagation of commercial domesticated broodstocks. Database Activities: Many useful links for aquaculture can be found at http://www.animalgenome.org/aquaculture/. In collaboration with John Liu, Auburn U., a Catfish SNP Project web site (http://www.animalgenome.org/catfish/cbarbel/), a Teleost Alternative Splicing Database (http://www.animalgenome.org/tasd), and a Catfish COI DNA Barcode Database (http://www.animalgenome.org/fishid/) have been established. The bioinformatics coordinators have helped Moh Salem of West Virginia U. to set up web blast and data download of the rainbow trout transcriptome data characterized using Sanger and Next GENeration sequencing data (http://www.animalgenome.org/aquaculture/salmonids/rainbowtrout/EST_WV.html). Cattle Technical Report The U. of California-Davis Station (J.F. Medrano and collaborators) has utilized next-generation RNA sequencing to examine expression patterns in the bovine mammary gland and in milk somatic cells The results show that milk somatic cells are representative of the mammary gland transcriptome and can be used as an alternative tissue to study gene expression of milk related traits. RNA expression was also examined in cows at day 15 (transition) and day 250 (late) lactation. Genes encoding milk proteins had the most abundant transcripts in transition milk and genes involved in immune regulation and cell defense had the most abundant transcripts in late lactation. The accuracy of RNA-Seq SNP discovery was tested by comparing SNP detected in a set of 42 candidate genes expressed in milk that had been resequenced earlier using Sanger sequencing technology. The results confirmed that analyzing the transcriptome using RNA-Seq technology is an efficient and cost effective method to identify SNP in transcribed regions. The study provided guidelines to maximize the accuracy of SNP discovery and the prevention of false-positive SNP detection, and provided more than 33,000 SNP in Holsteins, that are located in coding regions of genes expressed during lactation. The Pennsylvania Station (W. Liu) has analyzed the transcriptome of the bovine Y-chromosome (BTAY) using a direct testis cDNA selection and Next-Generation sequencing approach using Illumina GA2. Their results suggest an extensive transcriptional activity on BTAY. Examining the lineage specific gene families temporal and spatial expression patterns of ZNF280BYs in testis suggest a role in spermatogenesis. The study provides insights into the genomic organization of the bovine Y chromosome and gene regulation in spermatogenesis, and provides a model for studying evolution of multi-copy gene families in mammals. At the Massachusetts Station (C. Baldwin, J. Telfer and collaborators), bovine T cell receptor delta chains of the ³´ high species have been characterized. By annotating the bovine genome Btau_3.1 assembly the presence of 56 distinct variable (V) genes was found, 52 of which belong to the TRDV1 subfamily and were co-mingled with the TCR± V genes. In addition two genes belonging to the TRDV2 subfamily and a single TRDV3 and TRDV4 gene were found. The organization of the TRD locus was described, together with a system by which to classify the TRDV1 genes based on their phylogenetic grouping. On a similar line of work, this station annotated and performed evolutionary analysis in WC1/CD163 co-receptors. Annotation in the bovine genome identified genes coding for bovine CD163A and CD163c-± but found no evidence for CD163b. Bovine CD163A is widely expressed in immune cells, whereas CD163c-± transcripts are enriched in the WC1+ ³´ T cell population. Phylogenetic analyses of the CD163 family genes and WC1 showed that CD163c-± is most closely related to WC1 and that chicken and platypus have WC1 orthologous genes, previously classified as among their CD163 genes. At the Washington Station (Z. Jiang and collaborators) the reverse cholesterol transport pathway (RCT) were investigated for their associations with three fat depositions, eight fatty acid compositions and two growth-related phenotypes in a Wagyu x Limousin reference population. Among 36 SNPs detected in 11 of 13 genes, 19 were selected for genotyping by the Sequenom assay design on all F2 progeny. Single-marker analysis for 19 of 36 SNP had significant associations with nine phenotypes (P<0.05). Combining these results with previously reported genetic networks derived from 71 known functional genes, genetic networks related to the RCT pathway were identified. Multiple-marker analysis suggested possible genetic networks involving the RCT pathway for kidney-pelvic-heart fat percentage, rib-eye area, and subcutaneous fat depth phenotypes with markers derived from paraoxinase 1, apolipoproteins A1 and E, respectively. The present study confirmed that genes involved in cholesterol homeostasis are useful targets for investigating obesity in humans as well as for improving meat quality phenotypes in a livestock production. Holly Neibergs and collaborators have continued to do fine mapping on regions that have been identified as associated with Johnes disease. Illumina custom veracode assays were utilized to place markers about every 3 kb around a 200-300 kb regions previously identified as harboring positional candidates. This provided information to proceed with re-sequencing of the significant areas in collaboration with Dr. Van Tassell and Dr. Matukumali. An initial association analysis was conducted on bovine viral diarrhea-persistently infected (BVD-PI) cattle. Samples were obtained after testing over 10,000 animals for BVD-PI. To refine these loci, the density of markers on BTA2 and BTA26 was increased in order to determine if the loci associated with BVD-PI calves differed from the loci associated with the dams of BVD-PI calves or animals with bovine respiratory disease. Bovine viral diarrhea virus is one of the viral pathogens that comprise the bovine respiratory disease complex. In relation to bovine respiratory disease (BRD) an initial genome-wide study identified two chromosomal regions on BTA2 and BTA26 that were linked with BRD in four Bos taurus x Bos indicus crossbred cattle. At the U. of Wisconsin-Madison Station (B. Kirkpatrick and collaborators) further validation of SNP associations with twinning rate are being conducted. In collaboration with scientists at USMARC (L. Kuehn, G. Bennett), 66 SNPs previously identified as associated with twinning rate in the US Holstein population have been genotyped on 731 animals from the USMARC twinning population. A second validation analysis is being conducted in collaboration with a commercial twinner herd in which ovulation and twinning rate data have been collected. A total of 299 animals from this herd have been genotyped with the same 66 SNPs. Four of the 66 SNPs were successfully validated at a nominal p<0.01 in the USMARC herd. The most significant (p<1.8x10-4) was a SNP previously discovered in the IGF1 gene and associated with twinning rate in two Holstein populations. Creation of a resource family to map the location of a major gene for ovulation rate continued. The first 88 daughters of a bull believed to possess a major gene for ovulation rate have been evaluated and the gene has been fine-mapped. Analysis of a candidate gene is ongoing. An additional 33 daughters were born in 2010. The Oklahoma Station (R.G. Mateescu) has worked on the effect of breed and muscle type on fatty acid composition. Steers from two different breeds known for high (Angus) and low (Charolais) marbling scores are used in the study. Two extreme muscle types are being analyzed: longissimus dorsi (more oxidative) and semitendinosus (more glycolytic). Fatty acid profile of the two muscles were significantly different, with longissimus having a greater percentage SFA (P < 0.0001), a lower percentage of MUFA (P < 0.0001), and tended to have a lower percent PUFA (P = 0.06) than semitendinosus. Gene expression profiles were analyzed using a bovine whole-genome 70-mer oligo array with 24,000 long oligonucleotide probes was used. Ingenuity Pathways Analysis was used to identify the most relevant biological mechanisms, pathways, and functions of these genes. Thirty-five array elements were found to be differentially (P < 0.01) expressed between longissimus and semitendinosus muscles, with at least a 2-fold change in expression, with 32 elements up-regulated and 3 down-regulated. The Texas Station (C. Gill and collaborators) has continued to collect phenotypes from the Cycle 1 (F2 Nellore-Angus cows), Cycle 2 (reciprocal F2 steers and heifers) and Cycle 3 (F3 Nellore-Angus steers and heifers) McGregor Genomics populations. They have continued work on a pilot study to investigate the genetic basis of variation in immunological response to vaccination for BVDV using steers from Cycle 2 and Cycle 3. They are investigating the genetic mechanisms behind variation in growth, disposition, nutrient utilization, feed efficiency, carcass and meat traits in the steers as well as female reproductive efficiency traits in the heifers. Penny Riggs, P. Holman and J. Womack have examined gene expression related to tick resistance in cattle. Differentially expressed genes associated with the site of tick attachment have been identified, and further investigation will be conducted. They continue to collaborate with Dr. E. Amaral of Brazil, J. Womack and L. Skow to refine the genetic map of the river buffalo, focusing on river buffalo genes in the MHC region. Jim Womack and S. Dindot are also examining copy number variants (CNVs) in innate immune genes, particularly cathelicidins and defensins. Polymorphisms of copy number for bovine cathelicidin genes have been demonstrated and current experiments are designed to test the effect of copy number on gene function. Through collaborations they have begun comparative genetic studies of bovids using the cattle genome as a reference. Equine Technical Report Illumina 74K SNP genotyping Chip: A new Illumina Infinium array containing ~74,500 SNP markers in 2011. The marker list submitted for assay design of the second generation Beadchip has an average of 1.5 SNPs per 50 kb bin and therefore represents a substantial increase in the number of markers across the genome. SNP markers included on this new genotyping array include ~53,000 markers that were validated on the Equine SNP50 Beadchip which had a minimum minor allele frequency of e 0.005 across the 354 samples analyzed in the Gentrain dataset. The ~21,500 additional markers included in the new assay design were chosen to address as many gaps in coverage from the Equine SNP50 Beadchip as possible, and to globally improve coverage across the genome. As there were insufficient SNPs from the seven discovery breeds alone to achieve these goals, ~ 3,900 Twilight SNPs, and ~ 2,800 SNPs from RNAseq data were used, and increased numbers of SNPs were included in bins that flank many of the larger gaps. In addition, the new SNP panel includes enhanced coverage of the MHC region on ECA20 and the X chromosome, as well as several SNPs from coat color loci to use for sample validation purposes. Equine Whole Genome Tiling Array: In order to enable comprehensive studies of Equine copy number variation (CNV), a whole genome tiling array was designed based on the EquCab2 (Sep. 2007) assembly by researchers at University of Adelaide and Texas A&M. The array contains design a total of 418,577 probes, 305,416 of which were tiled into repeat-masked EquCab2 with an average resolution of 7.5 Kb. In addition to genome wide high resolution, there are three other significant features of this tiling array: 1) a subset of 85,852 probes for almost all Equine RefSeqs (18,427 out of 18,763), mainly from exons; 2) 519 chromosome Y specific probes, designed from 362 available STSs (BAC end tags) and 3) the inclusion of 26,790 probes for 3 Mb long sub-telomeric regions of all chromosomes except chromosome Y. This array is the first comprehensive equine high resolution resource for CNV mapping. The Equine breed diversity consortium was developed to facilitate large scale population genetic analysis in the domestic horse. This is an international collaboration of scientists from 22 different intuitions and represents genetic data from approximately 40 horse breeds. Many groups continue to focus on the collection of samples for mapping of simple and complex traits of interest, with a major focus on disease and athletic performance phenotypes Poultry Technical Report Telomere/telomerase dysregulation and Marek's Disease virus (MDV): MDV is a major cause of mortality leading to substantial economic losses to the poultry industry. Interestingly, the oncogenic MDV genome (which is circular and has no need for a telomere-maintenance system) contains two copies of the chicken telomerase RNA gene as well as several sets of telomere repeats. We hypothesize the MDV is utilizing aspects of the telomere-telomerase system to integrate into the chicken genome at the site of telomeres, and that this contributes to aspects of the disease state pathology, persistence and/or oncogenesis. Iowa State University maintains 13 unique chicken research lines [including highly inbred; MHCcongenic; closed populations; and advanced intercross lines (AIL)] that serve as resources for identifying genes and QTL of economic importance. The continued production of AIL (now at generation F18) facilitates the opportunity to narrow the confidence intervals (fine-map) around QTL and to conduct detailed studies on gene expression. Financial constraints resulted in the termination of 11 of the 24 lines in the past two years (2009-2010). Lines are maintained in minimal numbers, so collaborative studies or requests for genetic material must be arranged well in advance. Genetic material (chicks, fertile eggs, blood, tissue, DNA or RNA) has been shared with cooperating investigators to expand studies on the chicken genome, in addition to the studies conducted at Iowa State University. Current studies utilizing ISU chicken lines include collaborations with Huaijun Zhou of Texas A & M University (copy-number variation, avian influenza response) Andrew Clark of Cornell University (embryonic tissues for imprinting studies), Shane Burgess of Mississippi State University (F8 tissues for proteomic analysis of host response to Salmonella), Calvin Keeler of University of Delaware (F8 cDNA for microarray analysis of host response to Salmonella), and Hyun Lillehoj of USDA-ARS (Fayoumi chicks for analysis of response to Eimeria infection). AgBase (http://www.agbase.msstate.edu/) provides resources to facilitate modeling of functional genomics data and structural and functional annotation of agriculturally important animal, plant, microbe and parasite genomes. GOModeler, a tool that enables researchers to conduct hypothesis-based testing of high throughput datasets using the GO. GOModeler summarizes the overall effect of a user defined gene/protein differential expression dataset on specific GO hypothesis terms selected by the user to describe a biological experiment. The design of the tool allows the user to complement the functional information in the GO with his/her domain specific expertise for comprehensive hypothesis testing. GOModeler allows hypothesis driven analysis of high throughput datasets using the GO. Using this tool, researchers can quickly evaluate the overall effect of quantitative expression changes of gene set on specific biological processes of interest. The results are provided in both tabular and graphical formats. Sheep/Goat Technical Report Sheep Radiation Hybrid Map: Utah State University has added around 300 new markers to the ovine whole-genome RH map, in order to close gaps between adjacent RH groups and to extend the telomeric ends of the chromosomes. The addition of these markers increased marker density from 1.51 Mb/marker to 1.13 Mb/marker and the total map size increased ~37% in comparison to the previous version of the RH map. In addition, cross-species comparative maps based on marker-dense maps and high-coverage genome sequences were used to identify homologous synteny blocks (HSBs) and chromosome evolutionary breakpoint (EBRs) between sheep and other mammalian species. The number of homologous synteny blocks and chromosomal breakpoints between sheep and the human, cattle, horse and dog genomes were 216/54, 95/39, 122/61 and 135/75, respectively. Of the 229 conserved chromosomal segments, seventeen on human chromosomes (HSA1, 2, 3, 4, 6 and 21) and three on bovine chromosomes (BTA19, 27 and 28) had not been previously identified. This whole-genome RH map for sheep is a resource that can be used for fine-mapping economically important QTLs and will contribute to the assembly of the ovine reference sequence. It also contributes to a better understanding of the evolutionary history of ruminant species. A detailed review of the role of chromosome rearrangements in mammal evolutionary history is now possible. Goat Radiation Hybrid Map: Virginia State University has developed a radiation hybrid (RH) map for stronger comparative genomic analyses. A collaboration of VSU, Huazhong Agricultural University, Texas A & M, DNA Landmarks, INRA and IAEA. A RH panel of 92 clones has been established and used for initial mapping projects. DNA Landmarks has subjected the panel to the bovine and ovine 50K SNP panels. Data from the bovine panel has been developed into the initial goat RH map by Bertrand Servin at INRA. Goat Genome Sequencing: Two sequencing projects have begun for the goat, one public and one private, in association with the international goat consortium. The public project was undertaken by the research group at BGI in China as part of their 1000 genomes project. The initial sequencing has been completed on Illumina GX sequencers and the sequences are currently in the assembly process. NRSP-8 members have contributed to this project by providing virtual and RH maps for the assembly team and have discussed VSU working on aspects of the assembly and annotation. A sheep flock segregating for genes controlling parasite resistance has been created at Louisiana State University. The flock includes 378 F2 offspring of five F1 sires produced from Gulf Coast Native (resistant) and Suffolk (susceptible) crosses. Fecal egg counts (FEC) for Haemonchus contortus and packed cell volume (PCV) measurements were taken on all lambs at three time-points (at weaning, after 5 weeks on pasture, and 6 weeks after experimental challenge). In addition, all offspring, as well as their parents and grandparents, were genotyped with the Illumina Ovine SNP50 BeadChip. Preliminary analysis of a select group of 25 lambs (resistant = 19 and susceptible = 6) using PLINK software revealed significant associations (P < 1.31E - 06) for PCV1, PCV2 and FEC2 on 9 chromosomes. Using R/qtl, significant associations (LOD > 6.0) were found for PCV1, PCV2 and FEC2 on 10 chromosomes. Ovine progressive pneumonia virus (OPPV), a lentivirus of sheep, infects 66% of ewes at USSES. Scientists at the Animal Disease Research Unit and U.S. Sheep Experiment Station initiated a study to identify genetic factors influencing host control of OPPV and disease progression. OPPV cELISA antibody status and provirus concentrations were measured for 1000 ewes of 3 breeds, Rambouillet, Polypay, and Columbia for whole genome association using the Illumina OvineSNP50 marker set. Initial results indicate genes with logical roles in both cELISA status and provirus concentration. Further, some of these genes have no prior association with HIV (human immunodeficiency virus). Since both OPPV and HIV are macrophage-tropic lentiviruses with similar genomic structure, these genes may contribute to human medicine as well as animal agriculture. A molecular genetic study on transmission of OPPV unexpectedly found maternal transmission events accounted for the small minority of cases in one flock. This is contrary to the situation in caprine arthritis encephalitis virus (CAEV) in goats, and counter to previous expectation for OPPV in sheep. These results may suggest a broader range of possible explanations for mechanisms underlying genomic regions associated with OPPV. Swine Technical Report At PSU, an integrated genetic, RH, BAC-FP, RNASeq and comparative map has been created for SSC4 with 573 loci mapped to this chromosome. A similar integrated map for the remainder of the genome is being created with 11 chromosomes finished through 2010; the rest of the genome will be finished during 2011. Average map resolution is an improved 250 kb/marker for SSC4. At BARC, the nomenclature for the swine leukocyte antigen (SLA) complex, was updated and is posted on the Immuno Polymorphism Database-MHC (IPD-MHC) website (http://www.ebi.ac.uk/ipd/mhc/sla). BARC also reported on development of a polymerase chain reaction (PCR)-sequence-specific primer (PCR-SSP) typing method for detecting SLA class I and class II alleles, and this method was used for typing of PHGC pigs to determine the influence of SLA diversity on genetic resistance to porcine reproductive and respiratory syndrome virus (PRRSV) infection in outbred pigs. BARC also reported on a fluorescent microsphere immunoassay (FMIA) developed with South Dakota State University to detect innate inflammatory, regulatory, Th1, and Th2 cytokines. BARC, through the US Veterinary Immune Reagent Network www.vetimm.org continues to develop and distribute immune molecule detection resources to the research community. At WSU, SNP marker development for 15 candidate genes for PRRSV resistance is ongoing. At ISU, a DNA bank of pigs with Salmonella fecal shedding data was created and made available. ISU provided sequence data and annotations to scientists at Roslin Institute and Affymetrix to develop a second-generation custom Genechip, which is now available for genome-wide transcriptional profiling using the Affymetrix platform. At MSU, scientists added 20 additional markers on 9 chromosomes across 954 animals and added an additional 444 animals to their pQTL/eQTL resource population. A QTL scan found 26-29 QTL for growth (depending on model used), as well as 38-51 QTL for carcass and meat quality traits. Using the new NRSP-8 supported oligo array to find gene expression differences during muscle development, they found nearly 500 probes had signals indicating differential expression for the corresponding transcripts in Piau or York-Landrace pigs, and signals for 1,300 probes were different between breeds. An eQTL study was reported on selected animals from this population, and 62 eQTLs and three gene networks for loin muscle expression were found. Thirteen regions had oeverlapping pQTL and eQTL locations, indicating a significant number of cis-acting QTLs were found. At UNL, a population to study sow longevity genetics was initiated, samples are being collected through 2011 using the Nebraska growth/reproduction selection lines. The SNP chip was used to find association to development, reproduction and lifetime productivity traits for the first four replicates of animals. SNPs associated with these traits were found for many chromosomes, depending on trait of interest. At NCSU, a project to investigate porcine patellar gene expression patterns during impact injury as a human model is ongoing; 11 genes have been tested by q-PCR for response to different modalities of injury, of which many showed differential responses. A second project, investigating the copper metabolism on iron has been initiated. The effect of differing levels of dietary iron or source of copper ion on the expression of several genes relevant to copper metabolism as well as on copper levels was performed on young male pigs. Gene expression for a number of genes was shown to be affected by iron deficiency or by the level and/or source of copper. At BARC, continued progress in the PRRS host Genetics Consortium (PHGC) project, a large consortia with many collaborating groups, was reported. Eight trials of 200 pigs each have been completed, and blood samples for viral titer and RNA expression work, as well as growth data, have been collected. Genomic DNA has been prepared for trials 1-6 and provided to collaborators for SNP chip analysis, which is ongoing. In collaboration with MSU and NCSU, measurement of expression using the pigoligoarray for a number of tissues from pigs infected with two different PRRSV isolated have been performed, and the data is being analyzed. At ISU, results using the SNP chip to find SNPs associated with traits measured on several populations were described. Commercial populations with traits including sow productive life and other reproductive traits recorded were analyzed and a number of SNPs were found for several traits. Feet and leg soundness traits were also tested, and SNPs associated with these traits were found. The SNP chip was also used to find SNPs associated with a number of traits associated with production efficiency in the ISU Residual Feed Intake (RFI) selection lines. For 716 pigs tested (387 select and 329 control animals), many associated SNPS were found, and pathway analysis of genes mapping near these SNPs showed two pathways of functional relevance (fatty acid metabolism and cellular energy production). At ISU, the PHGC database is continuing to be developed. The ANEXdb database on gene expression and expressed sequence annotation has been used by many groups world-wide and cited in over 6 publications reporting gene expression profiling of porcine tissues. ANXdb has been migrated to www.animalgenome.org under the NRSP-8 Bioinformatics Coordinator. The Pig QTLDB is now part of an expanded AnimalQTLDB.

Impacts

Publications

Abel, E.L., J. M. Angel, P. K. Riggs, L. Langfield, H.-H. Lo, M. D. Person, Y. C. Awasthi, L. E. Wang, S. S. Strom, Q. Wei, and J. DiGiovanni. 2010. Gsta4, a modifier of susceptibility to skin tumor development in mice and humans. J. Natl Cancer Inst. 102:1663-1675. Adelson DL, Rayson, Edgar RC (2010) Characterization and Distribution of Retrotransposons and Simple Sequence Repeats Animal Genetics 41 (Suppl. 2):9199. Alexander, L.S., A. Qu, S.A. Cutler, A. Mahajan, M.F. Rothschild, W. Cai, J.C. Dekkers, and C.H. Stahl. 2010. A calcitonin receptor (CALCR) single nucleotide polymorphism is associated with growth performance and bone integrity in response to dietary phosphorus deficiency. J Anim Sci. 88:1009-1016. Ankra-Badu GA, Bihan-Duval EL, Mignon-Grasteau S, Pitel F, Beaumont C, Duclos MJ, Simon J, Carré W, Porter TE, Vignal A, Cogburn LA, Aggrey SE (2010) Mapping QTL for growth and shank traits in chickens divergently selected for high or low body weight. nim Genet 41:400-405 Ankra-Badu GA, Shriner D, Le Bihan-Duval E, Mignon-Grasteau S, Pitel F, Beaumont C, Duclos MJ, Simon J, Porter TE, Vignal A, Cogburn LA, Allison DB, Yi N, Aggrey SE (2010) Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate. BMC Genomics 11:107 Archibald, A.L., L. Bolund, C. Churcher, M. Fredholm, M.A. Groenen, B. Harlizius, K.T. Lee, D. Milan, J. Rogers, M.F. Rothschild, H. Uenishi, J. Wang, and L.B. Schook. 2010. Swine Genome Sequencing Consortium. Pig genome sequence--analysis and publication strategy. BMC Genomics. 11:438. Ashworth, M.D., Ross, J.W., Stein, D.R., White, F.J., DeSilva, U., and Geisert, R.D. 2010. Endometrial caspase 1 and interleukin-18 expression during the estrous cycle and periimplantation period of porcine pregnancy and response to early exogenous estrogen administration. Reproductive Biology and Endocrinology 8:33 Aston, K.I., G.P Li, B.A. Hicks, B.R. Sessions, T.D. Bunch, L.F. Rickords, B. Weimer, and K.L. White (2010) Aberrant expression of developmentally important genes in various stages of preimplantation bovine somatic cell nuclear transfer embryos. Cloning Stem Cells 12:23-32. Bailey, D.W., M.G. Thomas, J.W. Walker, B.K. Witmore, and D. Tolleson. 2010. Effect of previous experience on grazing patterns and diet selection of Brangus cows in the Chihuahuan Desert. Range Ecol. Manage. 62:223-232. Baird JD, Valberg SJ, Anderson SM, McCue ME, Mickelson JR. Presence of the glycogen synthase 1 (GYS1) mutation causing type 1 polysaccharide storage myopathy in continental European draught horse breeds. Vet Rec. 2010 Nov 13;167(20):781-4. Barb, C.R., Hausman, G.J., Rekaya, R. Lents, C.A., Lkhagvadorj, S., Qu, L., Cai, W., Couture, O.P., Anderson, L.L., Dekkers, J.C.M., Tuggle. C.K. 2010. Gene expression in hypothalamus, liver and adipose tissues and feed intake response to melanocortin-4 receptor (MC4R) agonist in pigs expressing MC4R mutations. Physiological Genomics 41: 254-268. Bierman, C.D., E.-S. Kim, K. Weigel, P.J. Berger and B.W. Kirkpatrick. 2010. Fine-mapping quantitative trait loci for twinning rate on BTA14 in North American Holsteins. J Animal Science 88:2556-2564. Bierman, C.D., E.-S. Kim, X. Shi, K. Weigel, P.J. Berger and B.W. Kirkpatrick. 2010. Validation of twinning rate whole genome association study results. Animal Genetics 41:406-416. Bellone RB, Forsyth G., Leeb T, Archer S, Sigurdsson S, Mauceli E., Enquensteiner M., Bailey E., Sandmeyer L, Grahn, B (2010) Fine mapping and mutation analysis of TRPM1, a candidate gene for Leopard Complex (LP) spotting and congential stationary Night Blindness (CNSB) in horses. and Fine Mapping the Leopard Complex (LP) Spotting Gene and Congenital Stationary Night Blindness (CSNB) in Horses. Briefings in Functional Genomics and Proteomics Advance Access doi:10.1093/bfgp/elq002 Bellone R.R., S. Archer S., Wade, C.M., Cuka-Lawson, C., Haase, B., Leeb,T., Forsyth, G., Sandmeyer, L., and Grahn, B. (2010) Association analysis of candidate SNPs in TRPM1 with leopard complex spotting (LP) and congenital stationary night blindness (CSNB) in horses. Animal Genetics 41(Suppl. 2): 207. Bellone, R.R. (2010) Pleiotropic effects of pigmentation genes in horses. Animal Genetics 41(Suppl. 2): 100110. Bower MA, Campana MG, Whitten M, Edwards CJ, Jones H, Barrett E, Cassidy R, Nisbet RE, Hill EW, Howe CJ, Binns M. 2010 The cosmopolitan maternal heritage of the Thoroughbred racehorse breed shows a significant contribution from British and Irish native mares. Biol Lett. PMID 20926431. Boyd, P. E. Hudgens, J.P.Loftus, D. Tompkins, J. Labresh, M. Wysocki, C.L. Baldwin and J. Lunney. 2010. Expressed gene sequence and bioactivity of the IFN³-response chemokine CXCL11 of cattle and swine. Veterinary Immunology and Immunopathology 136: 170-175. Brooks SA & Bailey E (2010) RT-qPCR Comparison of Mast Cell Populations in Whole Blood from Healthy Horses and those with Laminitis. Animal Genetics 41 (supl 2): 16-22. Brooks, S., Gabreski, N., Miller, D., Brisbin, A., Brown, H., Streeter, C., Mezey, J. G., Cook, D., Antczak, D. (2010). Whole Genome SNP Association in the Horse: Identification of a Deletion in Myosin Va Responsible for Lavender Foal Syndrome. PLoS Genetics, 6 (4), e1000909. Brooks, S., Makvandi-Nejad, S., Chu, E., Allen, J., Streeter, C., Gu, E., McCleery, B., Murphy, B., Bellone, R., Sutter, N. (2010). Morphological variation in the horse: defining complex traits of size and shape.. Animal Genetics, 41, 159-165. Brosnahan, M. M., Brooks, S., Antczak, D. F. (2010). Equine Clinical Genomics: A clinician's primer. Equine Veterinary Journal, 42 (7), 658-670. Broughton-Neiswanger, L.E., S. N. White, D. P. Knowles, M. R. Mousel, G. S. Lewis, D. R. Herndon, and L. M. Herrmann-Hoesing (2010) Non-maternal transmission is the major mode of ovine lentivirus transmission in a ewe flock: A molecular epidemiology study. Infection, Genetics and Evolution. 10(7):998-1007. Brunelli, J.P,, C.A. Steele and G. H. Thorgaard, 2010. Deep divergence and apparent sex-biased dispersal revealed by a Y-linked marker in rainbow trout. Mol. Phylo. Evol. 56: 983-990. Byerly MS, Simon J, Cogburn LA, Le Bihan-Duval E, Duclos MJ, Aggrey SE, Porter TE (2010) Transcriptional profiling of the hypothalamus during development of adiposity in genetically selected fat and lean chickens. Physiol Genomics 42:157-167. Byrne, K., M. Colgrave, T. Vuocolo, R. Pearson, C. Bidwell, N. Cockett, D. Lynn, J. Waddell, and R. Tellam (2010) The imprinted retrotransposon-like gene Peg11 is expressed as a full length protein in skeletal muscle from callipyge sheep. PLoS ONE 5(1): e8638. Byrne, K., T. Vuocolo, C. Gondro, J. White, N. E. Cockett, T. Hadfield, C. A. Bidwell, J. N. Waddell, and R. T. Tellam (2010) A gene network switch enhances the oxidative capacity of ovine skeletal muscle during late fetal development. BMC Genomics 11:378. Cánovas, A, G. Rincón, A.D. Islas, S. Wickramasinghe, and J. F. Medrano 2010. SNP Discovery in the bovine milk transcriptome using RNA-Seq technology. Mammalian Genome 21:592-598. Casellas, J., C.R. Farber, R.A. Verdugo and J.F.Medrano 2010. Segregation analysis of a sex ratio distortion locus in congenic mice. J Heredity 101:351-359 Chang, Shuang, Dunn, J.R., Heidari, M., Lee, L., Song, J.Z., Ernst, C.W., Ding, Z., Bacon, L.D., and Zhang, H.M. 2010. Genetics and Vaccine Efficacy: Host genetic variation affecting Mareks disease vaccine efficacy in White Leghorn chickens. Poultry Sci. 89:2083-2091. Chang, T.-C, Liu, W.-S. (2010) The molecular evolution of PL10 homologs. BMC Evol Biol 10, 127. Chen F, Lee Y, Jiang Y, Wang S, Peatman E, Abernathy J, Liu H, Liu S, Kucuktas H, Ke C, Liu ZJ. 2010. Identification and characterization of full-length cDNAs in catfish (Ictalurus spp.). PLoS One 12, e11546. Chen J, Dodson MV, Jiang Z. 2010. Cellular and molecular comparison of redifferentiation of intramuscular- and subcutaneous- adipocyte derived progeny cells. International Journal of Biological Science 6:80-88. Choi, I., J.P. Steibel, R.O. Bates, N.E. Raney, J.M. Rumph and C.W. Ernst. 2010. Application of alternative models to identify QTL for growth traits in an F2 Duroc x Pietrain pig resource population. BMC Genetics. 11:97. Ciraci, C., C.K. Tuggle, M. Wannemuehler, D. Nettleton, S.J. Lamont. 2010. Unique Genome-wide Transcriptome Profiles of Chicken Macrophages upon exposure to Salmonella-derived Endotoxin. BMC Genomics 11:545. Coleman SJ, Zeng Z, Wang K, Luo S, Khrebtukova I, Mienaltowski MJ, Schroth GP, Liu, J., MacLeod JN. Structural annotation of equine protein-coding genes determined by mRNA sequencing. Animal Genetics, 41 (Suppl. 2):121130, 2010. Cook D, Gallagher PC and Bailey E (2010) Genetics of Swayback in American Saddlebred Horses. Animal Genetics 41 (supl 2): 64-71. Corbin LJ, Blott SC, Swinburne JE, Vaudin M, Bishop SC, Woolliams JA. (2010) Linkage disequilibrium and historical effective population size in the Thoroughbred horse. Animal Genetics 41 (Supp. 2): 8-15. Costa de Melo, A. G., E. S. Varela, C. R. Beasley, H. Schneider, I. Sampaio, P. M. Gaffney, K. S. Reece, and C. H. Tagliaro. 2010. Molecular identification, phylogeny and geographic distribution of Brazilian mangrove oysters (Crassostrea). Genetics and Molecular Biology 33:564-572. Cothran, G., PhD. 2010. XX/XY Blood Lymphocyte Chimerism in Heterosexual Dizygotic Twins from an American Bashkir Curly Horse. Case Report. J.Equine Vet. Sci. 30:575-580. Curole, J. P., Meyer, E., Manahan, D. T., Hedgecock, D. (2010). Expression of the Pacific oyster mitochondrial genome: Variation among loci and evidence for regulation by nuclear-cytoplasmic interaction. Biological Bulletin. Vol. 218 (2), pp. 122-131. Dalloul RA et al., 2010. Multiplatform next-generation sequencing of the domestic turkey (Meleagris gallopavo): genome assembly and analysis. PLoS Biology 8(9):e1000475. Daniels TF, Wu X-L, Pan ZX, Michal JJ, Wright Jr. RW, Killinger KM, MacNeil MD, Jiang Z. 2010. The reverse cholesterol transport pathway improves understanding of genetic networks for fat deposition and muscle growth. PLoS ONE 5(12): e15203. Dawes, M.J., R.O. Bates, N.E. Raney, J.P. Steibel and Ernst, C.W. 2010. Evaluation of single nucleotide polymorphism markers on pig chromosomes 3 and 6 for potential associations with meat quality traits. J. Anim. Sci. 88(E-Suppl. 3):143-4. Dégremont L, Bédier E, Boudry P (2010a). Summer mortality of hatchery-produced Pacific oyster spat (Crassostrea gigas). II. Response to selection for survival and its influence on growth and yield. Aquaculture 299: 21-29. Dégremont L, Boudry P, Ropert M, Samain JF, Bédier E, Soletchnik P (2010b). Effects of age and environment on survival of summer mortality by two selected lines of the Pacific oyster Crassostrea gigas. Aquaculture 299: 44-50. De los Campos, G., Gianola, D., Rosa, G. J. M., Weigel, K. A. and Crossa J. 2010. Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genetics Research 92: 295-308. Dierks C, Komm K, Lampe V, Distl O. Fine mapping of a quantitative trait locus for osteochondrosis on horse chromosome 2. Anim Genet. 2010 41 Suppl 2:87-90. Dodson MV, Guan LL, Fernyhough ME, Mir PS, Bucci L, McFarland DC, Novakofski J, Reecy JM, Ajuwon KS, Thompson DP, Hausman GJ, Benson ME, Bergen WG, Jiang Z. 2010. Perspectives on the formation of an interdisciplinary research team. Biochem Biophysical Res Comm 391:155-1157. Dodson MV, Hausman GJ, Guan LL, Du M, Rasmussen TP, Poulos SP, Mir P, Bergen WG, Fernyhough ME, McFarland DC, Rhoads RP, Soret B, Reecy JM, Velleman SG, Jiang Z. 2010. Lipid metabolism, adipocyte depot physiology and utilization of meat animals as experimental models for metabolic research. International Journal of Biological Science 6:691-699. Dodson MV, Hausman GJ, Guan LL, Du M, Rasmussen TP, Poulos SP, Mir P, Bergen WG, Fernyhough ME, McFarland DC, Rhoads RP, Soret B, Reecy JM, Velleman SG, Jiang Z. 2010. Skeletal muscle stem cells from animals I. Basic cell biology. International Journal of Biological Science 6: 465-474. Dodson MV, Jiang Z, Chen J, Hausman GJ, Guan LL, Novakofski J, Thompson DP, Lorenzen CL, Fernyhough ME, Mir P, Reecy JM. 2010. Allied industry approaches to alter intramuscular fat content and composition in beef animals. Journal of Food Science 75:R1-8. Dodson MV, Vierck JL, Hausman GJ, Guan LL, Fernyhough ME, Poulos SP, Mir P, Jiang Z. 2010. Examination of adipose depot-specific PPAR moieties. Biochem Biophysical Res Comm 394:241-242. Dorshorst, B.J., Okimoto, R., Ashwell, C.M. 2010. Genomic Regions Associated with Dermal Hyperpigmentation, Polydactyly and Other Morphological Traits in the Silkie Chicken. J. Heredity. 101:339-50. Du ZQ, Ciobanu DC, Onteru SK, Gorbach D, Mileham AJ, Jaramillo G, Rothschild MF. 2010. A gene-based SNP linkage map for pacific white shrimp, L. vannamei. Animal Genetics 41(3):286-294. Edholm, E.-S., Hudgens, E.D., Tompkins, D., Sahoo, M., Burkhalter, B., Miller, N.W., Bengtén, E., Wilson, M., 2010.Characterization of anti-channel catfish IgL Ã monoclonal antibodies. Veterinary Immunology and Immunopathology. 135(3-4) 325-328. Edholm, E.S., Bengtén, E., Stafford, J.L., Sahoo, M., Taylor, E.B., Miller, N.W., Wilson, M. 2010. Identification of two IgD+ B cell populations in channel catfish, Ictalurus punctatus. Journal of immunology, 185 (7), pp. 4082-4094. Fahrenkrug, S. C., A. Blake, D. F. Carlson, T. Doran, A. L. Van Eenennaam, D. Faber, C. Galli, P. B. Hackett, N. Li, E. A. Maga, J. D. Murray, R. Stotish, E. Sullivan, J. F. Taylor, M. Walton, M. Wheeler, B. Whitelaw, B. P. Glenn. 2010. Precision Genetics for Complex Objectives in Animal Agriculture. Journal of Animal Science. 88:2530-9. Fan, B., Z.-Q. Du, D.M. Gorbach, and M.F. Rothschild. 2010. Development and application of high-density SNP arrays in genomic studies of domestic animals. Asian-Australasian Journal of Animal Science. 23:833-847. Fan, B., S. Lkhagvadorj, W. Cai, J. Young, R.M. Smith, J.C. Dekkers, E. Huff-Lonergan, S.M. Lonergan, and M.F. Rothschild. 2010. Identification of genetic markers associated with residual feed intake and meat quality traits in the pig. Meat Sci. 84:645-650. Felicetti M, Lopes MS, Verini-Supplizi A, Machado Ada C, Silvestrelli M, Mendonça D, Distl O. Genetic diversity in the Maremmano horse and its relationship with other European horse breeds. Anim Genet. 2010. 41 Suppl 2:53-5. Fernando, S.C., Purvis II, H.T., Najar, F.Z., Sukharnikov, L.O., Krehbiel, C.R., Nagaraja, T.G., Roe, B.A., and DeSilva, U. (2010) Rumen Microbial Population Dynamics during Adaptation to a High Grain Diet. Applied and Environmental Microbiology 76, 7482-90. Fleury E, Moal J, Boulo V, Daniel J-Y, Mazurais D, Hénaut A, Boudry P, Favrel P, Huvet A (2010). Identification of new genes associated with summer mortality in the oyster Crassostrea gigas. Marine Biotechnology 12: 326339. Fry, R.S., Spears, J.W., Hansen, S.L., and Ashwell, M.S. (2010) Dietary iron affects mRNA expression of porcine copper transporters. FASEB J 24:229-7. Fuller, S.A., McEntire, M.E., and Ludwig, G.M. 2010. Development and testing of a pedigree marking system using visible implant elastomer tags for selective improvement in Morone breeding programs. Aquaculture Research 41(8): 1250-1254. Waddell, J. N., P. Zhang, Y. Wen, S.K. Gupta, A. Yevtodiyenko, J.V. Schmidt, C.A. Bidwell, A. Kumar, and S. Kuang. (2010) DLK1 is necessary for proper skeletal muscle development and regeneration. PLoS ONE. 5: e15055. Gaffney, P. M., C. E. Pascal, J. P. Barnhart, W. S. Grant, and J. E. Seeb. 2010. Genetic homogeneity of weathervane scallops in the Northeastern Pacific. Can. J. Fish. Aquat. Sci. 67:1827-1839. Gonzalez-Recio, O., Weigel, K. A., Gianola, D., Naya, H. and Rosa, G. J. M. L2-Boosting algorithm applied to high-dimensional problems in genomic selection. Genetics Research 92: 227-237, 2010. Gorbach, D., B. Mote, L. Totir, R. Fernando, and M.F. Rothschild. 2010. Polydactyl inheritance in the pig. J Hered 101:469-475. Gorbach DM, Hu ZL, Du ZQ, Rothschild MF. 2011. Mining ESTs to determine the usefulness of SNPs across shrimp species. Animal Biotechnology 21(2):100-103. Gao, Yu, Laurence Flori, Jerome Lecardonnel, Diane Esquerre, Zhi-Liang Hu, Angelique Teillaud, Gaetan Lemonnier, Francois Lefevre, Isabelle P Oswald and Claire Rogel-Gaillard (2010). Transcriptome analysis of porcine PBMCs after in vitro stimulation by LPS or PMA/ionomycin using an expression array targeting the pig immune response. BMC Genomics 2010, 11:292. Hansen, S.L., Ashwell, M.S., Moeser, A.J., Fry, R.S., Knutson, M.D., and Spears, J.W. (2010) High dietary iron reduces transporters involved in iron and manganese metabolism and increases intestinal permeability in calves. Journal of Dairy Science. 93:656-65. Hansen, S.L., Trakooljul, N., Liu, H.-C.S., Hicks, J.A., Ashwell, M.S., and Spears, J.W. (2010) Proteins involved in iron metabolism in beef cattle are affected by copper deficiency in combination with high dietary manganese, but not by copper deficiency alone. Journal of Animal Science. 88:275-83. Hawkridge, A.M., Wysocky, R.B., Petitte, J.N., Anderson, K.E., Mozdziak, P.E., Fletcher, O.J., Horowitz, J.M., Muddiman, D.C,.2010. Measuring the intra-individual variability of the plasma proteome in the chicken model of spontaneous ovarian adenocarcinoma. Anal Bioanal Chem. 398(2):737-49. He, W., R.L. Fernando, J.C.M. Dekkers, and H. Gilbert. 2010. A gene frequency model for QTL mapping using Bayesian inference. Genet. Sel. Evol. 42: 21. Hedgecock, D. (2010). Determining parentage and relatedness from genetic markers sheds light on patterns of marine larval dispersal. Molecular Ecology. 19 (5), 845-847. Hee CS, Gao S, Loll B, Miller MM, Uchanska-Ziegler B, Daumke O, Ziegler A. 2010. Structure of a classical MHC class I molecule that binds "non-classical" ligands. PLoS Biol 8:e1000557. Heidari M., A. Lopes, M. Huebner, S. Sharif, D. Kireev and H. Zhou. 2010. Mareks disease virus-induced immunosuppression: array analysis of chicken immune response genes expression profiling. Viral Immunology 23(3):309-19. Herrmann-Hoesing, L.M., S. M. Noh, K. R. Snekvik, S. N. White, D. A. Schneider, T. C. Truscott, and D. P Knowles (2010) Ovine progressive pneumonia virus capsid is found in CD163 and CD172a positive alveolar macrophages of persistently infected sheep. Veterinary Pathology. 47(3):518-528. Herrmann-Hoesing, L.M., L.E. Broughton-Neiswanger, K. C. Gouine, S. N. White, M. R. Mousel, G. S. Lewis, K. L. Marshall, and D. P. Knowles (2010) Evaluation of a CAEV/MVV indirect ELISA in the serological diagnosis of ovine progressive pneumonia virus in U.S. sheep. Clin. Vaccine Immunol. 17(2):307-310. Herzig, C.T.A., R.W. Waters, C.L. Baldwin and J.C. Telfer. 2010. Evolution of the CD163 family and its relationship to the bovine gamma delta T cell co-receptor WC1. BMC Evolutionary Biology. 10: 181. Herzig, C.T.A.H., M. P. Lafranc and C.L. Baldwin. 2010. Genomic organization of the bovine T cell receptor delta locus, BMC Genomics 11:100 (19 pages). Higgins SE, Ellestad LE, Trakooljul N, McCarthy F, Saliba J, Cogburn LA, Porter TE (2010) Transcriptional and Pathway Analysis in the Hypothalamus of Newly Hatched Chicks during Fasting and Delayed Feeding. BMC Genomics 11:162. Hill EW, Gu J, Eivers SS, Fonseca RG, McGivney BA, Govindarajan P, Orr N, Katz LM, MacHugh DE. A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses. PLoS One. 2010 5 ;e8645. Hill EW, Gu J, McGivney BA, MacHugh DE. Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance. Anim Genet. 2010 Dec;41 Suppl 2:56-63. Hill, EW, McGivney BA, Gu J, Whiston R, Machugh DE. A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses. BMC Genomics. 2010;11:552. Hill EW. Livestock issue. Brief Funct Genomics. 2010 May;9(3):191-2. Hirota, K., Kakoi, H., Gawahara, H., Hasegawa, T., and Tozaki, T. Construction and Validation of Parentage Testing for Thoroughbred Horses by 53 Single Nucleotide Polymorphisms. J. Vet Med. Sci. 72 (6): 719-726, 2010. Holl H., Brooks S & Bailey E. (2010) De novo mutation of KIT discovered as a result of non-hereditary white coat color pattern. Animal Genetics 41(supl2): 196-198. Huang, W., Kirkpatrick, B. W., Rosa, G. J. M. and Khatib, H. 2010. A genome wide association study using selective DNA pooling identifies candidate markers for fertility in Holstein cattle. Animal Genetics 41, 570578. Huvet A, Normand J, Fleury E, Quillien V, Fabioux C, Boudry P (2010). Reproductive effort of Pacific oysters: a trait associated with susceptibility to summer mortality. Aquaculture, 304: 95-99. Jhingory S, Wu CY, and Taneyhill LA. 2010. Novel insight into the function and regulation of aN-catenin by Snail2 during chick neural crest cell migration. Dev Biol 344: 896-910. Jiang Y, Abernathy J, Peatman E, Liu H, Wang S, Xu D-H, Kucuktas H, Klesius P, Liu Z.J. 2010. Identification and characterization of matrix metalloproteinase-13 sequence structure and expression during embryogenesis and infection in channel catfish (Ictalurus punctatus). Developmental and Comparative Immunology 34:590-597. Jordan, L.G., C.A. Steele and G.H. Thorgaard, 2010. Universal mtDNA primers for species identification of degraded bony fish samples. Molecular Ecology Resources 10: 225-228. Juras, R., DVM, PhD, T. Raudsepp, PhD, P.J. Das, DVM, PhD, E. Conant, PhD, and E. Kim, T., Hunt, H.D., and Cheng, H.H. 2010. Mareks disease viruses lacking either RLORF10 or LORF4 have altered virulence in chickens. Virus Genes 40:410-420. Kirkpatrick, B.W., X. Shi, G.E. Shook and M.T. Collins. 2010. Whole genome association study of susceptibility to infection by Mycobacterium avium subsp. paratuberculosis in Holstein cattle. Animal Genetics, DOI: 10.1111/j.1365- 2052.2010.02097. Klukowska-Rötzler J, Marti E, Bugno M, Leeb T, Janda J. Molecular cloning and characterization of equine thymic stromal lymphopoietin. Vet Immunol Immunopathol. 2010 136(3-4):346-9. Kubosaki A, Lindgren G, Tagami M, Simon C, Tomaru Y, Miura H, Suzuki T, Arner E, Forrest AR, Irvine KM, Schroder K, Hasegawa Y, Kanamori-Katayama M, Rehli M, Hume DA, Kawai J, Suzuki M, Suzuki H, Hayashizaki Y. 2010. The combination of gene perturbation assay and ChIP-chip reveals functional direct target genes for IRF8 in THP-1 cells. Mol Immunol. 47(14):2295-302. Lallias D, Boudry P, Lapègue S, King JW, Beaumont AR (2010). Strategies for the retention of high genetic variability in European flat oyster (Ostrea edulis) restoration programmes. Conservation Genetics 11: 1899-1910. Lallias D, Taris N, Boudry P, Bonhomme F, Lapègue S (2010). Variance in reproductive success of flat oyster Ostrea edulis L. assessed by parentage analyses in natural and experimental conditions. Genetics Research 92(3): 175-187. Lawson S, Lunney JK, Zuckermann F, Osorio F, Nelson EA, Welbon C, Clement T, Fang Y, Wong S, Kulas, K, Christopher-Hennings J. 2010. Development of an 8-plex Luminex assay to detect swine cytokines for vaccine development: Assessment of immunity after porcine reproductive and respiratory syndrome virus (PRRSV) Vaccine. 32: 5383-5391. Lee JY, Song JJ, Wooming A. Li XY, HJ Zhou, Bottje W. Kong BW. 2010 Transcriptional profiling of host gene expression in chicken embryo lung cells infected with laryngotracheitis virus. BMC Genomics 2010, 11:445. Lee, Lucy F., Kreager, K.S., Arango, J., Paraguassu, A., Beckman, B., Zhang, H.M., Fadly, A.M., Lupiani, B., and Reddy, S. 2010. Comparative evaluation of vaccine efficacy of recombinant Mareks disease virus vaccine lacking Meqoncogene in commercial chickens. Vaccine 28:1294-1299. Leeds, T.D., Silverstein, J.T., Weber, G.M., Vallejo, R.L., Palti, Y., Rexroad, C.E., Iii, Evenhuis, J., Hadidi, S., Welch, T.J. & Wiens, G.D. (2010). Response to selection for bacterial cold water disease resistance in rainbow trout. J Anim Sci, 88: 1936-46. Li X., C. L. Swaggerty, M. H. Kogut, H. Chiang, Y. Wang, K. J. Genovese, H. He, H. Zhou. 2010. Gene expression profiling of the local cecal response of genetic chicken lines that differ in their susceptibility to Campylobacter jejuni colonization. PLoS ONE 5(7): e11827. Liu H, Tomokazu T, Abernathy J, Wang S, Sha Z, Terhune J, Kucuktas H, Jiang Y, Liu ZJ. 2010. Structure and expression of transferrin gene of channel catfish, Ictalurus punctatus. Fish and Shellfish Immunology 28:159-166. Liu H, Takano T, Peatman E, Abernathy J, Wang S, Sha Z, Kucuktas H, Liu ZJ. 2010. Molecular characterization and gene expression of the channel catfish ferritin H subunit after bacterial infection and iron treatment. Journal of Experimental Zoology, Part A: Ecological Genetics and Physiology 313:359-368. Lkhagvadorj, S., L. Qu, W. Cai, O. P. Couture, C. R. Barb, G. J. Hausman, D. Nettleton, L.L. Anderson, J.C.M. Dekkers, C. K. Tuggle. 2010. Gene expression profiling of the short-term adaptive response to acute caloric restriction in liver and adipose tissues of pigs differing in feed efficiency. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology 298:494-507. Long, N. M., Prado-Cooper, M. J., Krehbiel, C. R., DeSilva, U., and Wettemann, R. P. (2010) Effects of nutrient restriction of calves during early gestation on postnatal growth, carcass and organ characteristics and regulation of plasma glucose. Journal of Animal Science, 88, 3251-61. Long, N., Gianola, D., Rosa, G. J. M., Weigel, K. A., Kranis, A. and Gonzalez-Recio. O. 2010. Radial basis function regression methods for predicting quantitative traits using SNP markers. Genetics Research 92, 209-225. Lopes MS, Diesterbeck U, Machado Ada C, Distl O. Refinement of quantitative trait loci on equine chromosome 10 for radiological signs of navicular disease in Hanoverian warmblood horses. Anim Genet. 2010 41, Suppl 2:36-40. Lu J, Peatman E, Wang W, Yang Q, Abernathy J, Wang S, Kucuktas H, Liu ZJ. 2010. Alternative splicing in teleost fish genomes: Same-species and cross-species analysis and comparisons. Molecular Genetics and Genomics 283:531539. Luna-Nevarez, P., D.W. Bailey, C.C. Bailey, D.M. VanLeeuwen, R.M. Enns, G.A. Silver, K.L. DeAtley, and M.G. Thomas. 2010. Growth characteristics, reproductive performance, and evaluation of their associative relationship in Brangus cattle managed in a Chihuahuan Desert production system. J. Anim. Sci. 88:1891-1904. Lunney JK, Chen H. 2010. Genetic control of porcine reproductive and respiratory syndrome virus responses. Virus Research. 154: 161-169. Lunney JK, Fritz ER, Reecy JM, Kuhar D, Prucnal E, Molina R, Christopher-Hennings J, Zimmerman J, Rowland RRR. 2010. Interleukin-8, interleukin-1² and interferon-³ levels are linked to PRRS virus clearance. Viral Immunology. 23: 127-134. Lunney JK Benfield DA, Rowland RRR. 2010. Porcine Reproductive and Respiratory Syndrome Virus: An update on an emerging and re-emerging viral disease of swine. Virus Research. 154: 1-6. Lunney JK and Rowland RRR. (CoEditors). 2010. Progress in porcine respiratory and reproductive syndrome virus biology and control. Virus Research. 154 (1-2): 1-192. Lykkjen S, Dolvik NI, McCue ME, Rendahl AK, Mickelson JR, Roed KH. Genome-wide association analysis of osteochondrosis of the tibiotarsal joint in Norwegian Standardbred trotters. Anim Genet. 2010 41 Suppl 2:111-20. Manda, P., M. G. Freeman, S. M. Bridges, T. J. Jankun-Kelly, B. Nanduri, F. M. McCarthy, and S. C. Burgess. 2010. GOModeler--a tool for hypothesis-testing of functional genomics datasets. BMC Bioinformatics 11 Suppl 6:S29. Mao, W., Hunt, H.D., and Cheng, H.H. 2010. Cloning and functional characterization of chicken stem cell antigen 2. Devel. Comp. Immunol. 34:360-368. Martin AM, Elliott JA, Duffy P, Blake CM, Ben Attia S, Katz LM, Browne JA, Gath V, McGivney BA, Hill EW, Murphy BA. Circadian regulation of locomotor activity and skeletal muscle gene expression in the horse. J Appl Physiol. 2010 109(5):1328-36. Martin, K.E., C.A. Steele, J.P. Brunelli and G.H. Thorgaard, 2010. Mitochondrial variation and biogeographic history of Chinook salmon. Trans. Amer. Fish. Soc. 139: 792-802. Mateescu, R.G. and M. L. Thonney (2010) Genetic mapping of quantitative trait loci for milk production in sheep. Anim Genet. 41:460-466. Maturana, E. L., de los Campos, G., Wu, X.-L., Gianola, D., Weigel, K. A. and Rosa, G. J. M. Modeling relationships between calving traits: a comparison between standard and recursive mixed models. Genetics Selection Evolution 42(1), 2010. McCarthy, F. M., C. R. Gresham, T. J. Buza, P. Chouvarine, L. R. Pillai, R. Kumar, S. Ozkan, H. Wang, P. Manda, T. Arick, S. M. Bridges, and S. C. Burgess. 2010. AgBase: supporting functional modeling in agricultural organisms. Nucleic Acids Res 39:D497-506. McCue ME, Anderson SM, Valberg SJ, Piercy RJ, Barakzai SZ, Binns MM, Distl O, Penedo MC, Wagner ML, Mickelson JR. Estimated prevalence of the Type 1 Polysaccharide Storage Myopathy mutation in selected North American and European breeds. Anim Genet. 2010 41 Suppl 2:145-9. McGivney BA, McGettigan PA, Browne JA, Evans AC, Fonseca RG, Loftus BJ, Lohan A MacHugh DE, Murphy BA, Katz LM, Hill EW. Characterization of the equine skeletal muscle transcriptome identifies novel functional responses to exercise training. BMC Genomics. 2010 23;11:398. McGlynn OF, Browne JA, Blake CM, Murphy BA (2010) Time of day influences cytokine and clock gene response to immune stimulation in equine whole blood. Animal Genetics. Volume 41, Issue Supplement s2, pages 202204. Medrano, J.F. and G. Rincón 2010. Genes involucrados en la determinación de la composición y rendimiento de la leche. In: Genética de Animales Domésticos, Editores G. Giovambattista and P. Peral-García, Editorial Inter-Medica S.A., Argentina. Medrano, J.F., A. Ahmadi and J. Casellas 2010. Dairy Cattle Breeding Simulation Program (DCBSP v.4.9), a simulation program to teach animal breeding principles and practices. J Dairy Sci 93:2816-2826. Mienaltowski MJ, Huang L, Bathke A, Stromberg AJ, MacLeod JN. Transcriptional comparisons between articular repair tissue, neonatal cartilage, cultured chondrocytes, and mesenchymal stromal cells. Briefings in Functional Genomics & Proteomics, 9:238-250, 2010. Milbury, C. A., J. C. Lee, J. J. Cannone, P. M. Gaffney, and R. R. Gutell. 2010. Fragmentation of the large subunit ribosomal RNA gene in oyster mitochondrial genomes. BMC Genomics 11:485. Meng, Q., C. Bai Y.L. Chunling, L. Ying, W. Xia, T.D. Bunch, and G-P. Li (2010) In vitro development and chromosomal configuration of bovine somatic cloned embryos with no-enucleated metaphase ii oocytes. Cell. Reprogram. 12:481-490. Michelizzi VN, Dodson MV, Pan ZX, Amaral ME, Michal JJ, McLean DJ, Womack JE, Jiang Z. 2010. Water buffalo genome science comes of age. International Journal of Biological Sciences 6: 333-349. Michelizzi VN, Wu X-L, Dodson MV, Michal JJ, Zambrano-Varon J, McLean DJ, Jiang Z. 2011. A global view of 54,001 single nucleotide polymorphisms (SNPs) on the Illumina BovineSNP50 BeadChip and their transferability to water buffalo. Int. Journal of Biological Science 7:18-27. Mittmann EH, Mömke S, Distl O. Whole-genome scan identifies quantitative trait loci for chronic pastern dermatitis in German draft horses. Mamm Genome. 2010 21(1-2):95-103. Mohan, S., Davis, R. L., DeSilva, U., and Stevens, C. W. (2010) Dual regulation of ¼ opioid receptors in SK-N-SH neuroblastoma cells by morphine and interleukin-1 ²: Evidence for opioid-immune crosstalk. Journal of Neuroimmunology 227, 26-34. Morris, C.A., M. Wheeler, G. L. Levet, and B.W. Kirkpatrick. 2010. A cattle family in New Zealand with triplet calving ability. Livestock Science 128:193196. Nanduri, B., N. Wang, M. L. Lawrence, S. M. Bridges, and S. C. Burgess. 2010. Gene model detection using mass spectrometry. Methods Mol Biol 604:137-44. Neibergs, H.L., M.L. Settles, R.H. Whitlock, J.F. Taylor. GSEA-SNP identifies genes associated with Johnes disease in cattle. 2010. Mammalian Genome 21(7): 419. Onteru, S.K., A. Ampaire, M.F. Rothschild. 2010. Biotechnology developments in developing countries. Biotechnol. Genet. Eng. Rev. 27: 1-12. Orr N, Back W, Gu J, Leegwater P, Govindarajan P, Conroy J, Ducro B, Van Arendonk JA, MacHugh DE, Ennis S, Hill EW, Brama PA. Genome-wide SNP association-based localization of a dwarfism gene in Friesian dwarf horses. Anim Genet. 2010 41 Suppl 2:2-7. Ozden, O., Black, B.L., Ashwell, C.M., Tipsmark, C.K., Borski, R.J., Grubb, B.J. 2010. Developmental profile of claudin-3, -5, and -16 proteins in the epithelium of chick intestine. Anat Rec (Hoboken). 293(7):1175-83. Palti, Y., Gahr, S.A., Purcell, M.K., Hadidi, S., Rexroad III, C.E. & Wiens, G.D. (2010). Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss). Developmental & Comparative Immunology, 34: 219-233. Palti, Y., Rodriguez, M.F., Gahr, S.A., Purcell, M.K., Rexroad Iii, C.E. & Wiens, G.D. (2010). Identification, characterization and genetic mapping of TLR1 loci in rainbow trout (Oncorhynchus mykiss). Fish & Shellfish Immunology, 28: 918-926. Phillips, R.B. & Devlin R.H. (2010). Integration of growth hormone gene constructs in transgenic strains of coho salmon (Oncorhynchus kisutch) at centromeric or telomeric sites. Genome, 53:79-82. Proszkowiec-Weglarz M, Porter TE (2010) Functional characterization of chicken glucocorticoid and mineralocorticoid receptors. Am J Physiol Regul Integrative Comp Physiol 298:1257-1268. Qiu, H., X. Xu, B. Fan, M.F. Rothschild, Y. Martin, and B. Liu. 2010. Investigation of LDHA and COPB1 as candidate genes for muscle development in the MYOD1 region of pig chromosome 2. Mol Biol Rep. 37:629-636. Quinn, N., Boroevich, K., Lubieniecki, K., Chow, W., Davidson, E., Phillips, R., Koop, B. & Davidson, W. (2010). Genomic organization and evolution of the Atlantic salmon hemoglobin repertoire. BMC Genomics, 11: 539. Raudsepp T, Durkin K, Lear TL, Das PJ, Avila F, Kachroo P, Chowdhary BP (2010). Molecular heterogeneity of XY sex reversal in horses. Animal Genetics 41 (suppl 2):41-52. Redmond, S.B., Tell, R.M., Coble, D., Mueller, C., Palic, D., Andreasen, C.B., and Lamont, S.J. 2010. Differential splenic cytokine responses to dietary immune modulation by diverse chicken lines. Poultry Sci. 89: 1635-1641. Ren, J., X. Liu, F. Jiang, X. Guo and B Liu. 2010. Unusual conservation of mitochondrial gene order in Crassostrea oysters: evidence for recent speciation in Asia. BMC Evolutionary Biology, 10:394. Renaville, B., E. Piasentier, B. Fan, M. Vitale, A. Prandi, and M.F. Rothschild. 2010. Candidate gene markers involved in San Daniele ham quality. Meat Sci. 85:441-445. Rijnkels,M., C. Freeman-Zadrowski, J. Hernandez, V. Potluri, A. Lin, G. Rincon, A.D. Islas, L. Wang, W. Li, J.F. Medrano 2010. Insight in development and functional differentiation of the mammary gland; a chromatin perspective. 9th World Congress of Genetics Applied to Livestock Production (WCGALP), Leipzig-Germany, No. 0976. Rios JJ, Fleming JG, Bryant UK, Carter CN, Huber JC, Long MT, Spencer TE, Adelson DL (2010) OAS1 and RNASEL Polymorphisms Are Associated With Susceptibility To West Nile Encephalitis In Horses. PLoS ONE 5(5): e10537. Robinson, C.M., Hunt, H.D., Cheng, H., and Delany, M. 2010. Mapping of Mareks disease herpesvirus integrations into chicken chromosomes indicates positional preference for telomeres and clonal relationships among tumors. Herpesviridae 1:5. Robinson, C.M., H. Hunt, H. Cheng and M.E. Delany. 2010. Chromosomal integration of an avian oncogenic herpesvirus reveals telomeric preferences and evidence for lymphoma clonality. Herpesviridae 1:5 http://www.herpesviridae.org/content/1/1/5. Roe, B.A., and DeSilva, U. (2010) Rumen Microbial Population Dynamics during Adaptation to a High Grain Diet. Applied and Environmental Microbiology 76, 7482-90. Rosa, G. J. M. and Vazquez, A. I. Integrating biological information into the statistical analysis and design of microarray experiments. Animal 4(2): 165172, 2010. Salem, M., Kenney, P.B., Rexroad Iii, C.E. & Yao, J. (2010). Proteomic signature of muscle atrophy in rainbow trout. Journal of Proteomics, 73: 778-789. Salem M, Rexroad C, Wang J, Thorgaard G, Yao J (2010). Characterization of the rainbow trout transcriptome using Sanger and 454-pyrosequencing approaches. BMC Genomics 11(1): 564. Salem, M., Xiao, C., Womack, J., Rexroad, C. & Yao, J. (2010). A MicroRNA Repertoire for Functional Genome Research in Rainbow Trout. Marine Biotechnology, 12: 410-429. Salger, S.A., Reading, B.J., Baltzegar, D.A., Sullivan, C.V., and E.J. Noga. 2011. Molecular characterization of two isoforms of piscidin 4 from the hybrid striped bass (Morone chrysops X Morone saxatilis). Fish and Shellfish Immunology 30: 420-424. Sauvage C, Boudry P, de Koning DJ, Haley CS, Heurtebise S, Lapègue S (2010). Quantitative Trait Loci for resistance to summer mortality and OsHV1 load in the Pacific oyster (Crassostrea gigas). Animal Genetics: 41(4): 390-399. Scharrenberg A, Gerber V, Swinburne JE, Wilson AD, Klukowska-Rotzler J, Laumen E, Marti E. (2010) IgE, IgGa, IgGb and IgG(T) serum antibody levels in offspring of two sires affected with equine recurrent airway obstruction. Animal Genetics 41 (Suppl. 2): 131-137. Schmitz A, Demmel S, Peters LM, Leeb T, Mevissen M, Haase B. Comparative human-horse sequence analysis of the CYP3A subfamily gene cluster. Anim Genet. 2010 41 Suppl 2:72-9. Seabury, C. M., P. M. Seabury, J. E. Decker, R. D. Schnabel, and J. E. Womack. 2010. Diversity and evolution of 11 innate immune genes in Bos taurus taurus and Bos taurus indicus cattle. PNAS 107:151-156. Shakhsi-Niaei M, Klukowska-Rötzler J, Drögemüller C, Swinburne JE, Gerber V, Leeb T. Characterization of the equine ITGAX gene and its association with recurrent airway obstruction in European Warmblood horses. Anim Genet. 2010 41(5):559-60. Silva, R.F., Dunn, J.R., Cheng, H.H., and Niikura, M. 2010. A MEQ deleted Mareks disease virus cloned as a bacterial artificial chromosome is a highly efficacious vaccine. Avian Diseases 54:862-869. Staiger, E. A., M. L. Thonney, J. W. Buchanan, E. R. Rogers, P. A. Oltenacu, and R. G. Mateescu (2010) Effect of prolactin, ß-lactoglobulin and º-casein genotype on estimated breeding values for milk production in East Friesian sheep. J. Dairy Sci. 93(4):1736-1742. Suo, L., Q. Meng, Y. Pei, X-W. Fu, Y-P. Wang, T.D. Bunch, and S-E. Zhu (2010) Effect of cryopreservation on acetylation patterns of lysine 12 of histone H4 (acH4K12) in mouse oocytes and zygotes. J. Assisted Repro. Genet. 27:735-741. Swanberg, S.E., T.H. OHare, E.A. Robb, C.M. Robinson, H. Chang, and M.E. Delany. 2010. Telomere biology of the chicken: A model for aging research. Exptl Gerontology. 45:647-654. Tai, S.H.S., Niikura, M., Cheng, H.H., Kruger, J.M., Wise, A.G., and Maes, R.K. 2010. Complete genomic sequence and an infectious BAC clone of feline herpesvirus-1 (FHV-1). Virology 401:215-227. Thanthrige-Don, N., P. Parvizi, A. J. Sarson, L. A. Shack, S. C. Burgess, and S. Sharif. 2010. Proteomic analysis of host responses to Marek's disease virus infection in spleens of genetically resistant and susceptible chickens. Dev Comp Immunol 34:699-704. Toosi, A., R.L. Fernando, and J.C.M. Dekkers. 2010. Genomic Selection in admixed and crossbred populations. J. Anim. Sci. 88: 32-46. Tozaki, T., Hirota, K., Sugita, S., Ishida, N., Miyake, T., Oki, H., and Hasegawa, T. A genome-wide scan for tying-up sundrome in Japanese thoroughbreds. Anim. Genet. 41 (suppl. 2): 80-86, 2010. Tozaki, T., Miyake, T., Kakoi, H., Gawahara, H., Sugita, S., Hasegawa, T., Ishida, N., Hirota, K., and Nakano, N. A genome-wide association study for racing performance in Thoroughbreds clarifies a candidate region near the MSTN gene. Anim. Genet. 41 (suppl. 2): 28-35, 2010. Towfic, F., VanderPlas, S., Oliver, C.A., Couture, O., Tuggle, C.K., Greenlee, M.H.W., and V. Honavar. 2010. Detection of Gene Orthology Based On Biomolecular Networks. BMC Bioinformatics 11:S7. Tuggle CK. Bearson SMD, Uthe JJ, Huang TH, Qu L, Couture O, Wang YF, Kuhar D, Lunney JK, Nettleton D, Honavar V, Dekkers JCM. 2010. Updated methods for transcriptomic analyses of the porcine host immune response: Application to Salmonella infection. Vet. Immunol. Immunopathol. 138: 280-91. Tseng CT, D. Miller D, Cassano J, Bailey E and Antczak DF (2010) Molecular Identification of Equine Major Histocompatibility Complex Haplotypes using Polymorphic Microsatellites. Animal Genetics 41 (supl 2): 150-153. Valente, B. D., Rosa, G. J. M., de los Campos, G., Gianola, D. and Silva, M. A. Searching for recursive causal structures in multivariate quantitative genetics mixed models. Genetics 185: 633-644, 2010. Vallejo, R.L., Wiens, G.D., Rexroad, C.E., III, Welch, T.J., Evenhuis, J.P., Leeds, T.D., Janss, L.L.G. & Palti, Y. (2010). Evidence of major genes affecting resistance to bacterial cold water disease in rainbow trout using Bayesian methods of segregation analysis. J Anim Sci, 88: 3814-32. Van den Berg, B. H., F. M. McCarthy, S. J. Lamont, and S. C. Burgess. 2010. Re-annotation is an essential step in systems biology modeling of functional genomics data. PLoS One 5:e10642. Van Eenennaam, A. L., K. L. Weber, K. Cooprider and D. J. Drake. 2010. Development and implementation of a vertically-integrated beef cattle data collection system. California Agri 64:94-100. Van Melis, M. H., Eler, J. P., Rosa, G. J. M., Ferrz, J. B. S., Figueiredo, L. G. G., Mattos, E. C. And Oliveira, H. N. 2010. Additive genetic relationships between scrotal circumference, heifer pregnancy, and stayability in Nellore cattle. J. Anim. Sci. 88: 38093813. Varian, A. & Nichols, K.M. (2010). Heritability of Morphology in Brook Trout with Variable Life Histories. PLoS ONE, 5: e12950. Vazquez, A. I., Bates, D., Rosa, G. J. M., Gianola, D. and Weigel, K. A. 2010. Technical Note: An R package for fitting generalized linear mixed models in animal. J. Anim. Sci. 88: 497504. Vazquez, A. I., Rosa, G. J. M., Weigel, K. A., de los Campos, G., Gianola, D. and Allison, D. B. 2010. Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins. J. Dairy Sci. 93: 5942-5949. Verdugo, R.A., C.R. Farber, C.H. Warden and J.F. Medrano 2010. Serious limitations of the QTL/Microarray approach for QTL gene discovery. BMC Biology 8:96. Waldbieser, Geoffrey; Bosworth, Brian; Quiniou, Sylvie . 2010. Production of Viable Homozygous, Doubled Haploid Channel Catfish (Ictalurus punctatus) Marine Biotechnology, 12(4) 380-385. Wang K, Singh D, Zeng Z, Coleman SJ, Huang Y, Savich GL, Xiaping H, Mieczkowski P, Grimm SA, Perou CM, MacLeod JN, Chiang DY, Prins JF, Liu J. MapSplice: accurate mapping of RNA-seq reads for splice junction discovery. Nucleic Acids Research, 38(18):e178, 2010. Wang S, Abernathy J, Waldbieser G, Lindquist E, Richardson P, Lucas S, Wang M, Li P, Thimmapuram J, Liu L, Vullaganti D, Kucuktas H, Murdock C, Small B, Wilson M, Liu H, Jiang Y, Lee Y, Chen F, Lu J, Wang W, Peatman E, Xu P, Somridhivej B, Baoprasertkul P, Quilang J, Sha Z, Bao B, Wang Y, Wang Q, Takano T, Nandi S, Liu S, Wong L, Kaltenboeck L, Quiniou S, Bengten E, Miller N, Trant J, Rokhsar D, Liu ZJ., and Catfish Genome Consortium. 2010. Assembly of 500,000 inter-specific catfish expressed sequence tags and large scale gene-associated marker development for whole genome association studies. Genome Biology 11 (1):R8. Wang S, Peatman E, Liu H, Bushek D, Ford SE, Kucuktas H, Quilang J, Li P, Wallace R, Wang Y, Guo X, Liu Z. 2010. Microarray analysis of gene expression in eastern oyster (Crassostrea virginica) reveals a novel combination of antimicrobial and oxidative stress host responses after dermo (Perkinsus marinus) challenge. Fish Shellfish Immunol., 29: 921-929. Wang, Y., X. Wang, A. Wang and X. Guo. 2010. A 16-microsatellite multiplex assay for parentage assignment in the eastern oyster (Crassostrea virginica). Aquaculture, 308:S28-S33. Weigel, K. A., de los Campos, G., Vazquez, A. I., Rosa, G. J. M., Gianola, D. and Van Tassel, C. P. Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle. J. Dairy Sci. 93: 54235435, 2010. Wu, X.-L., Gianola, D., Rosa, G. J. M. and Weigel, K. A. Bayesian model averaging for evaluation of candidate gene effects. Genetica 138:395-407, 2010. Yamashita, J., Oki, H., Hasegawa, T., Honda T., and Nomura T. Demographic Analysis of Breeding Structure in Japanese Thoroughbred Population. J. Equine Sci. 21(2): 11-16, 2010. Yamashita, J., Oki, H., Hasegawa, T., Honda, T., and Nomura, T. Gene Dropping Analysis of Ancestral Contributions and Allele Survival in Japanese Thoroughbred Population. J. Equine Sci. 21(3): 39-45, 2010. Yeh, H.-Y., Klesius, P.H., 2010. Sequence analysis, characterization and mRNA distribution of channel catfish (Ictalurus punctatus Rafinesque, 1818) chemokine (C-X-C motif) receptor 4 (CXCR4) cDNA. Veterinary Immunology and Immunopathology, 134 (3-4), pp. 289-295. Yeh, H.-Y., Klesius, P.H., 2010. Characterization and tissue expression of channel catfish (Ictalurus punctatus Rafinesque, 1818) ubiquitin carboxyl-terminal hydrolase L5 (UCHL5) cDNA, 2010. Molecular Biology Reports, 37 (3), 1229-1234. Yeh, H.-Y., Klesius, P.H., 2010. Sequence analysis, characterization and tissue distribution of channel catfish (Ictalurus punctatus Rafinesque, 1818) myeloperoxidase cDNA, Fish and Shellfish Immunology, 28 (3), pp. 504-509. Yeh, H.-Y., Klesius, P.H., 2010. Channel catfish (Ictalurus punctatus Rafinesque, 1818) tetraspanin membrane protein family: Identification, characterization and expression analysis of CD63 cDNA, 2010. Veterinary Immunology and Immunopathology, 133 (2-4), 302-308. Xie X, Yu Y, Liu G, Yuan Z, Song JZ. (2010) Complexity and Entropy Analysis of DNA Methyltransferase. J Data Mining in Genom Proteomics 1:105. Xu, X., H. Qiu, Z.Q. Du, B. Fan, M.F. Rothschild, F. Yuan, and B. Liu. 2010. Porcine CSRP3: polymorphism and association analyses with meat quality traits and comparative analyses with CSRP1 and CSRP2. Mol Biol Rep. 37:451-459. Zaitoun, I., Downs, K. M., Rosa, G. J. M. and Khatib, H. Upregulation of imprinted genes in mice: an insight into the intensity of gene expression and the evolution of genomic imprinting. Epigenetics 5(2): 1-10, 2010. Zhang, L. and X. Guo. 2010. Development and validation of single nucleotide polymorphism markers in the eastern oyster Crassostrea virginica Gmelin by mining ESTs and resequencing. Aquaculture, 302:124-129. Zhang, X.M., X.P. Yue, W.-S. Liu, T.C. Chang, X.Y. Lan, H. Chen and C.Z. Lei (2010) Y-chromosome haplotype analysis revealing two major haplogroups in Chinese swamp buffaloes. Submitted to J. of Animal Breeding and Genetics (Nov 2010). Zimmerman J, Rowland RRR. 2010. Interleukin-8, interleukin-1² and interferon-³ levels are linked to PRRS virus clearance. Viral Immunology. 23: 127-134.
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