Microsatellite markers linked to Salmonella enterica serovar enteritidis vaccine response in young F1 broiler-cross chicks

Chickens productivity selection affects immune system genes

The quantitative trait loci associated with the immune properties of chickens are of interest from the point of view of obtaining animals resistant to infectious agents using marker-assisted selection. In the process of selecting markers for genomic selection in broiler-type chickens, a non-standard genotype frequency of the RACK1 gene allele (SNP Gga_rs15788101) in the B5 line of broiler-type chicken cross Smena 8 was identified and it was suggested that this gene was involved in selection. Therefore, it was decided to investigate the available polymorphisms in the three genes responsible for the IgY titer (DMA, RACK1 and CD1B). Molecular typing of single nucleotide polymorphisms of three loci revealed an approach to fixation of the unfavorable allele of the DMA gene (SNP Gga_rs15788237), an approach to fixation of the unfavorable allele of the RACK1 gene and the prevalence of the favorable CD1B gene allele (SNP Gga_rs16057130). Analysis of the haplotypes revealed a strong linkage disequilibrium of these genes. This suggests that these genes experience selection pressure. Analysis of the protein-coding sequences of the CD1B and DMA genes of various breeds of chickens revealed a negative selection of these genes. In order to understand whether the fixation of the studied alleles is the result of artificial selection of the B5 line of the cross Smena 8, an analysis of similar loci in layer chickens Hisex White was carried out. The frequencies of the alleles at the loci of the CD1B gene (Gga_rs16057130) and the RACK1 gene (Gga_rs15788101) in the Hisex White chicken genome differ from the frequencies of the alleles obtained for chickens of the B5 line of the cross Smena 8. It can be assumed that the fixation of the allele in the DMA gene (SNP Gga_rs15723) is associated with artificial or natural selection, consistent in broilers and layers. Changes in the loci Gga_rs16057130 and Gga_rs15788101 in the B5 line of the Smena 8 chickens are most likely associated with artificial selection of broiler productivity traits, which can subsequently lead to fixation of alleles at these loci. Artificial breeding of chickens leads to degradation of the variability of genes encoding elements of the immune system, which can cause a decrease in resistance to various diseases. The study of the negative impact of selection of economic traits on immunity should provide means to mitigate negative consequences and help find ways to obtain disease-resistant animals.

Genome-wide association study identified genes in the response to Salmonella pullorum infection in chickens

Pullorum is a bacterial disease that threatens the modern poultry industry. Over the years, research on this topic has focused mainly on its epidemiology, whereas the hosts' genetic basis of infection is still vague. In order to identify chickens' genes associated with pullorum, we sequenced 300 New Pudong chicken by double digest genotyping-by-sequencing. We obtained 1 527 953 SNPs for a genome-wide association analysis, which identified 43 genome-wide significant markers. Most of the significant SNPs were in the interval of 57.7-59.0 Mb on chromosome 5. The gene set enrichment analysis suggests a potential manner for bacterial infection and remaining inside the host. This work provides basic data for the purification, prevention and treatment of pullorum disease.

Allelic variation in TLR4 is linked to resistance to Salmonella Enteritidis infection in chickens

Salmonella Enteritidis (SE) is a foodborne pathogen that negatively affects both animal and human health. Polymorphisms of the TLR4 gene may affect recognition by Toll-like receptor 4 (TLR4) of bacterial lipopolysaccharide (LPS), leading to differences in host resistance to pathogenic infections. The present study has investigated polymorphic loci of chicken TLR4 (ChTLR4) in ten chicken breeds, electrostatic potentials of mutant structures of TLR4, and a linkage analysis between allelic variation and survival ratio to infection with SE in specific-pathogen-free (SPF) White Leghorns. A total of 19 Single Nucleotide Polymorphisms (SNPs), of which 10 were novel, were found in chicken breeds. Seven newly identified amino acid variants (C68G, G674A, G782A, A896T, T959G, T986A, and A1104C) and previously reported important mutations (G247A, G1028A, C1147T, and A1832G) were demonstrated in the extracellular domain of the ChTLR4 gene. Significant changes in surface electrostatic potential of the ectodomain of TLR4, built by homology modeling, were observed at the Glu83Lys (G247A), Arg298Ser (A896T), Ser368Arg (A1104C), and Gln611Arg (A1832G) substitutions. Linkage analysis showed that one polymorphic locus G247A of TLR4 gene, common in all breeds examined, was significantly associated with increased resistance to SE in SPF White Leghorns chicks (log-rank P-value = 0.04). The genotypes from A1832G SNPs did not show statistically significant survival differences. This study has provided the first direct evidence that G247A substitution in ChTLR4 is associated with increased resistance to Salmonella Enteritidis.

The Genomic Architecture of Fowl Typhoid Resistance in Commercial Layers

Salmonella enterica serovar Gallinarum causes devastating outbreaks of fowl typhoid across the globe, especially in developing countries. With the use of antimicrobial agents being reduced due to legislation and the absence of licensed vaccines in some parts of the world, an attractive complementary control strategy is to breed chickens for increased resistance to Salmonella. The potential for genetic control of salmonellosis has been demonstrated by experimental challenge of inbred populations. Quantitative trait loci (QTL) associated with resistance have been identified in many genomic regions. A major QTL associated with systemic salmonellosis has been identified in a region termed SAL1. In the present study, two outbreaks of fowl typhoid in 2007 and 2012 in the United Kingdom were used to investigate the genetic architecture of Salmonella resistance in commercial laying hens. In the first outbreak 100 resistant and 150 susceptible layers were genotyped using 11 single nucleotide polymorphism (SNP) and 3 microsatellite markers located in the previously identified SAL1 region on chromosome 5. From the second outbreak 100 resistant and 200 susceptible layers, belonging to a different line, were genotyped with a high-density (600 K) genome-wide SNP array. Substantial heritability estimates were obtained in both populations (h ² = 0.22 and 0.26, for the layers in the first and second outbreak, respectively). Significant associations with three markers on chromosome 5 located close to AKT1 and SIVA1 genes, coding for RAC-alpha serine/threonine protein kinase, and the CD27-binding protein SIVA1, respectively, were identified in the first outbreak. From analysis of the second outbreak, eight genome-wide significant associations with Salmonella resistance were identified on chromosomes 1, 6, 7, 11, 23, 24, 26, 28 and several others with suggestive genome-wide significance were found. Pathway and network analysis revealed the presence of many innate immune pathways related to Salmonella resistance. Although, significant associations with SNPs located in the SAL1 locus were not identified by the genome-wide scan for layers from the second outbreak, pathway analysis revealed P13K/AKT signaling as the most significant pathway. In summary, resistance to fowl typhoid is a heritable polygenic trait that could possibly be enhanced through selective breeding.

Genome-wide association study of cell-mediated immune response in chicken

Cell-mediated immunity (CMI) causes the intracellular destruction of the antigen or elimination of the host cell to make animals resistant against exogenous antigens and cancers. In this study, a genome-wide association study (GWAS) was carried out to identify genomic regions associated with CMI in chicken using chicken 60k high-density single nucleotide polymorphism (SNP) array. Genomic relationships were taken into account to adjust for population structure. In order to account for multiple testing, chromosome-wise false discovery rate was controlled at 5% and 10% levels. Moreover, a comparison of the power of fixed and mixed linear models based on genomic inflation factor was carried out. Mixed linear model (MLM) had better inflation rate, and therefore the results from MLM were used for subsequent analysis. Three significantly associated SNPs (FDR < 0.05) on chromosome 24 and linkage group E22C19W28_E50C23, and three suggestively associated SNPs (FDR < 0.1) on chromosome 1, 5 and 16 were identified. Pathway analysis showed that two biological pathways, which are related to immune response, were strongly associated with the candidate genes surrounding identified SNPs, and their influences were mostly on antigen processing and presentation, and cellular structure.

Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress

BACKGROUND

Heat stress in poultry results in considerable economic losses and is a concern for both animal health and welfare. Physiological changes occur during periods of heat stress, including changes in blood chemistry components. A highly advanced intercross line, created from a broiler (heat susceptible) by Fayoumi (heat resistant) cross, was exposed to daily heat cycles for seven days starting at 22 days of age. Blood components measured pre-heat treatment and on the seventh day of heat treatment included pH, pCO2, pO2, base excess, HCO3, TCO2, K, Na, ionized Ca, hematocrit, hemoglobin, sO2, and glucose. A genome-wide association study (GWAS) for these traits and their calculated changes was conducted to identify quantitative trait loci (QTL) using a 600 K SNP panel.

RESULTS

There were significant increases in pH, base excess, HCO3, TCO2, ionized Ca, hematocrit, hemoglobin, and sO2, and significant decreases in pCO2 and glucose after 7 days of heat treatment. Heritabilities ranged from 0.01-0.21 for pre-heat measurements, 0.01-0.23 for measurements taken during heat, and 0.00-0.10 for the calculated change due to heat treatment. All blood components were highly correlated within measurement days, but not correlated between measurement days. The GWAS revealed 61 QTL for all traits, located on GGA (Gallus gallus chromosome) 1, 3, 6, 9, 10, 12-14, 17, 18, 21-28, and Z. A functional analysis of the genes in these QTL regions identified the Angiopoietin pathway as significant. The QTL that co-localized for three or more traits were on GGA10, 22, 26, 28, and Z and revealed candidate genes for birds' response to heat stress.

CONCLUSIONS

The results of this study contribute to our knowledge of levels and heritabilities of several blood components of chickens under thermoneutral and heat stress conditions. Most components responded to heat treatment. Mapped QTL may serve as markers for genomic selection to enhance heat tolerance in poultry. The Angiopoietin pathway is likely involved in the response to heat stress in chickens. Several candidate genes were identified, giving additional insight into potential mechanisms of physiologic response to high ambient temperatures.

Identification of quantitative trait loci for body temperature, body weight, breast yield, and digestibility in an advanced intercross line of chickens under heat stress

Background

Losses in poultry production due to heat stress have considerable negative economic consequences. Previous studies in poultry have elucidated a genetic influence on response to heat. Using a unique chicken genetic resource, we identified genomic regions associated with body temperature (BT), body weight (BW), breast yield, and digestibility measured during heat stress. Identifying genes associated with a favorable response during high ambient temperature can facilitate genetic selection of heat-resilient chickens.

Methods

Generations F18 and F19 of a broiler (heat-susceptible) × Fayoumi (heat-resistant) advanced intercross line (AIL) were used to fine-map quantitative trait loci (QTL). Six hundred and thirty-one birds were exposed to daily heat cycles from 22 to 28 days of age, and phenotypes were measured before heat treatment, on the 1st day and after 1 week of heat treatment. BT was measured at these three phases and BW at pre-heat treatment and after 1 week of heat treatment. Breast muscle yield was calculated as the percentage of BW at day 28. Ileal feed digestibility was assayed from digesta collected from the ileum at day 28. Four hundred and sixty-eight AIL were genotyped using the 600 K Affymetrix chicken SNP (single nucleotide polymorphism) array. Trait heritabilities were estimated using an animal model. A genome-wide association study (GWAS) for these traits and changes in BT and BW was conducted using Bayesian analyses. Candidate genes were identified within 200-kb regions around SNPs with significant association signals.

Results

Heritabilities were low to moderate (0.03 to 0.35). We identified QTL for BT on Gallus gallus chromosome (GGA)14, 15, 26, and 27; BW on GGA1 to 8, 10, 14, and 21; dry matter digestibility on GGA19, 20 and 21; and QTL of very large effect for breast muscle yield on GGA1, 15, and 22 with a single 1-Mb window on GGA1 explaining more than 15 % of the genetic variation.

Conclusions

This is the first study to estimate heritabilities and perform GWAS using this AIL for traits measured during heat stress. Significant QTL as well as low to moderate heritabilities were found for each trait, and these QTL may facilitate selection for improved animal performance in hot climatic conditions.

The identification of loci for immune traits in chickens using a genome-wide association study

The genetic improvement of disease resistance in poultry continues to be a challenge. To identify candidate genes and loci responsible for these traits, genome-wide association studies using the chicken 60k high density single nucleotide polymorphism (SNP) array for six immune traits, total serum immunoglobulin Y (IgY) level, numbers of, and the ratio of heterophils and lymphocytes, and antibody responses against Avian Influenza Virus (AIV) and Sheep Red Blood Cell (SRBC), were performed. RT-qPCR was used to quantify the relative expression of the identified candidate genes. Nine significantly associated SNPs (P < 2.81E-06) and 30 SNPs reaching the suggestively significant level (P < 5.62E-05) were identified. Five of the 10 SNPs that were suggestively associated with the antibody response to SRBC were located within or close to previously reported QTL regions. Fifteen SNPs reached a suggestive significance level for AIV antibody titer and seven were found on the sex chromosome Z. Seven suggestive markers involving five different SNPs were identified for the numbers of heterophils and lymphocytes, and the heterophil/lymphocyte ratio. Nine significant SNPs, all on chromosome 16, were significantly associated with serum total IgY concentration, and the five most significant were located within a narrow region spanning 6.4kb to 253.4kb (P = 1.20E-14 to 5.33E-08). After testing expression of five candidate genes (IL4I1, CD1b, GNB2L1, TRIM27 and ZNF692) located in this region, changes in IL4I1, CD1b transcripts were consistent with the concentrations of IgY, while abundances of TRIM27 and ZNF692 showed reciprocal changes to those of IgY concentrations. This study has revealed 39 SNPs associated with six immune traits (total serum IgY level, numbers of, and the ratio of heterophils and lymphocytes, and antibody responses against AIV and SRBC) in Beijing-You chickens. The narrow region spanning 247kb on chromosome 16 is an important QTL for serum total IgY concentration. Five candidate genes related to IgY level validated here are novel and may play critical roles in the modulation of immune responses. Potentially useful candidate SNPs for marker-assisted selection for disease resistance are identified. It is highly likely that these candidate genes play roles in various aspects of the immune response in chickens.

New QTL for resistance to Salmonella carrier-state identified on fowl microchromosomes

Chicken's ability to carry Salmonella without displaying disease symptoms leads to an invisible propagation of Salmonella in poultry stocks. Using chicken lines more resistant to carrier state could improve both animal health and food safety. Previous studies identified several QTL for resistance to carrier state. To improve genome coverage and QTL detection power we produced a new set of 480 informative SNP markers and genotyped a larger number of animals. Ten additional microchromosomes could be covered when compared with previous studies. These new data led to the identification of 18 QTL significant at the chromosome-wide level. The only QTL significant at the genome-wide level were identified on microchromosomes 14 and 22 and have never been identified previously. Using a higher number of animals improved the power and the precision of QTL detection. Some of the QTL newly identified are located close to candidate genes or microsatellite markers previously identified for their involvement in the genetic control of resistance to Salmonella, which confirms their interest for selection purposes.

Genetic control of resistance to salmonellosis and to Salmonella carrier-state in fowl: a review

Salmonellosis is a frequent disease in poultry stocks, caused by several serotypes of the bacterial species Salmonella enterica and sometimes transmitted to humans through the consumption of contaminated meat or eggs. Symptom-free carriers of the bacteria contribute greatly to the propagation of the disease in poultry stocks. So far, several candidate genes and quantitative trait loci (QTL) for resistance to carrier state or to acute disease have been identified using artificial infection of S. enterica serovar Enteritidis or S. enterica serovar Typhimurium strains in diverse genetic backgrounds, with several different infection procedures and phenotypic assessment protocols. This diversity in experimental conditions has led to a complex sum of results, but allows a more complete description of the disease. Comparisons among studies show that genes controlling resistance to Salmonella differ according to the chicken line studied, the trait assessed and the chicken's age. The loci identified are located on 25 of the 38 chicken autosomal chromosomes. Some of these loci are clustered in several genomic regions, indicating the possibility of a common genetic control for different models. In particular, the genomic regions carrying the candidate genes TLR4 and SLC11A1, the Major Histocompatibility Complex (MHC) and the QTL SAL1 are interesting for more in-depth studies. This article reviews the main Salmonella infection models and chicken lines studied under a historical perspective and then the candidate genes and QTL identified so far.

MHC haplotype and susceptibility to experimental infections (Salmonella Enteritidis, Pasteurella multocida or Ascaridia galli) in a commercial and an indigenous chicken breed

In three independent experimental infection studies, the susceptibility and course of infection of three pathogens considered of importance in most poultry production systems, Ascaridia galli, Salmonella Enteritidis and Pasteurella multocida were compared in two chicken breeds, the indigenous Vietnamese Ri and the commercial Luong Phuong. Furthermore, the association of the Major Histocompatibility Complex (MHC) with disease-related parameters was evaluated, using alleles of the LEI0258 microsatellite as markers for MHC haplotypes. The Ri chickens were found to be more resistant to A. galli and S. Enteritidis than commercial Luong Phuong chickens. In contrast, the Ri chickens were more susceptible to P. multocida, although production parameters were more affected in the Luong Phuong chickens. Furthermore, it was shown that the individual variations observed in response to the infections were influenced by the MHC. Using marker alleles of the microsatellite LEI0258, which is located within the MHC region, several MHC haplotypes were identified as being associated with infection intensity of A. galli. An association of the MHC with the specific antibody response to S. Enteritidis was also found where four MHC haplotypes were shown to be associated with high specific antibody response. Finally, one MHC haplotype was identified as being associated with pathological lesions and mortality in the P. multocida experiment. Although not statistically significant, our analysis suggested that this haplotype might be associated with resistance. These results demonstrate the presence of local genetic resources in Vietnamese chickens, which could be utilized in breeding programmes aiming at improving disease resistance.

Resistance to Salmonella carrier state: selection may be efficient but response depends on animal's age

Increasing resistance to acute salmonellosis (defined as bacteraemia in animals showing symptoms) is not sufficient for food safety, because of the risk of carrier state (when animals excrete bacteria without showing any symptoms). Increased resistance to Salmonella carrier state is therefore needed. Two experiments of divergent selection on resistance at a younger and a later age lead to significant differences between lines and allowed estimating genetic parameters on 4262 animals. Heritability of resistance was estimated at 0.16 in chicks, while it varied from 0.14 to 0.23 with analysed organ in adult hens. Genetic correlations between contamination of the different organs ranged from 0.46 to 0.67, while correlations between resistance at both ages were estimated at -0.50, showing that increasing genetic resistance of hens will reduce resistance in chicks. Highest estimated absolute values of genetic correlations between resistance and production traits were, for chicken contamination level, with number of eggs laid between 41 and 60 (0.37) and, for adult contamination, with number of eggs laid between 18 and 24 (0.37) or 25 and 40 (-0.33) weeks of age.

Across-line SNP association study of innate and adaptive immune response in laying hens

The aim of the present study was to detect quantitative trait loci (QTL) for innate and adaptive immunity in laying hens. For this purpose, the associations between 1022 single nucleotide polymorphism (SNP) markers and immune traits were studied in 583 hens from nine different layer lines. Immune traits were natural antibodies for keyhole limpet haemocyanin (KLH) and lipopolysaccharide (LPS) at 20, 40 and 65 weeks, acquired antibodies to the vaccinal virus of Newcastle disease at 20 weeks, and complement activity measured on sheep and bovine red blood cells at 20, 40 and 65 weeks. We adopted a novel approach based on across-line analysis and testing of the SNP-by-line interaction. Among lines, linkage disequilibrium is conserved at shorter distances than in individual lines; therefore, SNPs significantly associated with immune traits across lines are expected to be near the functional mutations. In the analysis, the SNPs that had a significant across-line effect but did not show significant SNP-by-line interaction were identified to test whether the association was consistent in the individual lines. Ultimately, 59 significant associations between SNPs and immune traits were detected. Our results confirmed some previously identified QTL and identified new QTL potentially involved in the immune function. We found evidence for a role of IL17A (chromosome 3) in natural and acquired antibody titres and in the classical and alternative pathways of complement activation. The major histocompatibility genes on chromosome 16 showed significant association with natural and acquired antibody titres and classical complement activity. The IL12B gene on chromosome 13 was associated with natural antibody titres.

Association of interleukin-10 cluster genes and Salmonella response in the chicken

Salmonella enteritidis lipopolysaccharide stimulates interleukin 10 (IL10) gene expression in chickens. Four genes in the IL10 cluster [polymeric immunoglobulin receptor (PIGR), interleukin 10 (IL10), map kinase-activated protein kinase 2 (MAPKAPK2), and ligatin (LGTN)] plus dual-specificity tyrosine-(Y)-phosphorylation regulated kinase1A (DYRK1A) were investigated using the F(8) generation of 2 related advanced intercross lines (AIL). The AIL were generated by crossing outbred broilers with dams of 2 highly inbred lines (Leghorn and Fayoumi). Intercrossing continued within the 2 dam lines. The F(8) chicks (n = 132) were intraesophageally inoculated at 1 d with S. enteritidis. At d 7 or 8, both spleen tissue and cecal contents were cultured to quantify S. enteritidis load. The F(8) population was genotyped for one single nucleotide polymorphism (SNP) per gene by using a multiplexed SNaPshot assay. Association of gene SNP with S. enteritidis bacterial burden was analyzed by the GLM. The MAPKAPK2 and IL10 genes were highly (P < 0.001) associated with S. enteritidis burden in spleen tissue and cecal luminal content. Suggestive associations (P < 0.05) of PIGR with spleen tissue and cecal content were found. The results suggest that SNP in MAPKAPK2 and IL10 were strongly associated with Salmonella burden and may be valuable in generating resistant birds by marker-assisted selection.

Review of Quantitative Trait Loci Identified in the Chicken

Methods for mapping QTL are actively used in the chicken to identify chromosomal regions contributing to variation in traits related to growth, disease resistance, egg production, behavior, and metabolic parameters. However, higher-resolution mapping and better knowledge of the genetic architecture underlying QTL are needed for successful application of this information into breeding programs. Therefore, this paper summarizes and integrates original, primary QTL studies in the chicken to identify basic information on the genetic architecture of quantitative traits in chickens. The results of this review show several instances of consensus of QTL locations for similar traits from independent studies. Furthermore, the consensus of QTL location for different traits and evidence for QTL with parent-of-origin effect, transgressive alleles, epistatic QTL, and QTL x sex interaction in chicken are presented and discussed. This information can be helpful in identifying genes or mutations underlying the QTL and in the application of genomic information in marker-assisted breeding programs.

Detection of different quantitative trait loci for antibody responses to keyhole lympet hemocyanin and Mycobacterium butyricum in two unrelated populations of laying hens

Quantitative trait loci involved in the primary antibody response to keyhole lympet hemocyanin (KLH) and Mycobacterium butyricum were detected in two independent populations of laying hens. The first population was an F2 cross (H/L) of lines divergently selected for either high or low primary antibody responses to SRBC, and the second population was an F2 cross between 2 commercial layer lines displaying differences in feather pecking behavior (FP). Both populations were typed with microsatellite markers widely distributed over the genome with similar intervals between markers. Titers of antibodies binding KLH and M. butyricum were measured for all individuals by ELISA. Two genetic models were applied to detect QTL involved in the humoral immune response: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib analysis, 2 QTL (on GGA14 and GGA27) were detected for the antibody response to KLH for the H/L population, and 2 QTL (on GGA14 and GGA18) were detected for the FP population. Only 1 QTL was detected for M. butyricum on GGA14 in the FP population using the half-sib analysis model. Two QTL were detected for the FP population on GGA2 and GGA3 using the line-cross analysis model. A QTL for the primary antibody response to KLH detected on GGA14 was validated in both populations under the half-sib analysis model. The present data suggest differences in the genetic regulation of antibody responses to two different T-cell dependent antigens.

Association of twelve candidate gene polymorphisms and response to challenge with Salmonella enteritidis in poultry

Breeding for disease resistance to Salmonella enteritidis (SE) could be an effective approach to control Salmonella in poultry. The candidate gene approach is a useful method to investigate genes that are involved in genetic resistance. In this study, 12 candidate genes that are involved in the pathogenesis of Salmonella infection were investigated using five different genetic groups of meat-type chicken. The genes were natural resistance associated macrophage protein 1 (SLC11A1, previously known as NRAMP1), inhibitor of apoptosis protein 1 (IAP1), prosaposin (PSAP), Caspase-1 (CASP1), inducible nitric oxide production (iNOS), interferon-gamma (IFNG), interleukin-2 (IL2), immunoglobulin light chain (IGL), ZOV3, and transforming growth factors B2, B3 and B4 (TGFB2, B3 and B4). In total, 117 birds of all groups were challenged with SE at the age of 3 weeks. In all birds at 7-day post-infection SE load in caecum content, spleen and liver were quantified. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assays were used to genotype all animals for each gene. Overall we found the most significant associations with caecum content, nine of 12 genes showed a significant association (SLC11A1, IAP1, PSAP, CASP1, iNOS, IL2, IGL, TGFB2 and TGFB4). For liver, five genes (SLC11A1, CASP1, IL2, IGL, and TGFB4) and for spleen, only one gene (TGFB3) showed a significant association with SE load. By showing associations of 12 PCR-RFLP assays with SE load after a pathogen challenge, this study confirmed the polygenic nature of disease resistance to SE.

Detection of QTL for immune response to sheep red blood cells in laying hens

The aim of this study is to detect quantitative trait loci (QTL) involved in the regulation of the primary and the secondary immune response to sheep red blood cells (SRBC) in a resource population using microsatellite DNA markers. The F2 resource population originates from a cross of two divergently selected lines for either high (H line) or low (L line) primary antibody response to SRBC. The F2 population consisted of six half-sib families, three families per each of reciprocal crosses. Total antibody titres to SRBC were determined by agglutination in serum from all birds. F2, F1 and F0 generations were genotyped for 170 microsatellite markers, using a whole-genome scan approach. The half-sib and the line-cross analyses were performed to determine QTL regions associated with regulation of the immune response. In the half-sib analysis, four QTL for SRBC primary response have been identified: on GGA3, GGA5, GGA16 and GGA23. No QTL was identified for SRBC secondary response under the half-sib model. In the line-cross analysis, three QTL were identified on GGA10, GGA16 and GGA27 for SRBC primary response and five QTL were identified on GGA6, GGA9, GGA15, GGA16 and GGA27 for SRBC secondary response. Subsequently, the family contribution of individual families to the QTL was analysed. The family with the largest contribution was genotyped with additional microsatellite markers in the QTL region on GGA5. The extended half-sib analysis with additional genotype information results in narrowing down the QTL region on GGA5.

Use of a novel outbred by inbred F1 cross to detect genetic markers for growth

A unique outbred by inbred F1 resource population was established. The population structure facilitated the unique opportunity of examining gene by genetic background interaction through crossing two modern broiler sires with dams from two unrelated inbred lines, with no selection for growth rate, to produce about 600 F1 chicks. Pools of DNA were generated from the phenotypic extremes (20% high and low) for 8-week body weight for each of the four combinations of sire and dam line. For one sire family, pools were also separately generated for each sex. The pools were genoyped with 25 informative (segregating) microsatellites. This unique F1 cross between outbred and inbred populations allowed use of the inbred alleles as an 'internal control' for polymerase chain reaction amplification quality in DNA pools. Ten microsatellites showed marked differences (P < 0.05) in allele frequencies between high and low pools, suggesting an association between marker and quantitative trait loci (QTL). These differences were verified using selective genotyping. For many markers, differences in allele frequencies between the high and the low pools, or marker effect, varied between the two dam lines and the two sexes, suggesting an interaction between some genes and the genetic background as represented by different dam lines or sexes. The suggestive marker-QTL associations identified in this F1 population demonstrate the efficiency of this population design while different QTL effects in different genetic line crosses and sexes highlight the importance of gene by genetic background interaction in QTL detection.

Genetic markers and their application in poultry breeding

The current chicken genetic map contains at least 1,965 loci within 50 linkage groups, and it covers about 4,000 cM. About 235 of these loci have homology with known human or mammalian genes. The remaining loci are anonymous molecular DNA markers, including microsatellites, amplified fragment length polymorphism (AFLP), randomly amplified polymorphic DNA (RAPD), CR1 elements, and others. A third generation genetic map for human uses single nucleotide polymorphisms (SNP), which have allowed the mapping of complex traits by linkage disequilibrium. One advantage of SNP is that they are usually linked to the gene of interest, and association of the SNP with traits of economic importance can be analyzed using candidate gene approaches. With the tremendous advancements in characterizing chicken expressed sequence tags (EST), the identification of genetic polymorphisms such as SNP in chicken genes has become a reality. Our laboratory has undertaken an in silico analysis of the chicken EST at the University of Delaware by using a Phred/Phrap/Polyphred/Consed pipeline to identify candidate chicken SNP. Initial scanning of 23,427 chicken EST identified a total of 1,209 candidate SNP, with at least 182 non-synonymous SNP that result in an amino acid change observed. Validation of these candidate chicken SNP is ongoing. Placement of the SNP on the chicken genetic map will enhance marker density, thus allowing for mapping of complex traits through linkage analysis and linkage disequilibrium. Application of SNP to identify disease resistance genes in chickens is of special interest to our laboratory, especially in regards to Marek's disease and coccidiosis.

Candidate gene approach: potentional association of caspase-1, inhibitor of apoptosis protein-1, and prosaposin gene polymorphisms with response to Salmonella enteritidis challenge or vaccination in young chicks

Salmonella enteritidis (SE) contamination of poultry products is a major cause of foodborne disease worldwide. Caspase-1 and inhibitor of apoptosis protein-1 (IAP-1) were selected as candidate genes for chicken response to SE because their proteins play critical roles in the apoptotic pathway when intracellular bacteria interact with host cells. Prosaposin (PSAP) was selected as a positional candidate gene based on a previous quantitative trait loci (QTL) linkage study using the same population. The F1 offspring of outbred sires crossed with three diverse, highly inbred dam lines (two major histocompatibility complex-congenic Leghorn lines named G-B1 and G-B2, and one Fayoumi line) were used to define the phenotypes. The F1 birds were involved in either pathogenic SE challenge, in which spleen and cecum content bacterial load were quantified, or SE vaccination, in which plasma antibody level to SE vaccine was evaluated. A polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) assay was developed to identify single-nucleotide polymorphism (SNP) in the three genes. The F1 offspring of heterozygous sires for each gene were genotyped. The sire caspase-1 gene was significantly associated with cecum content bacterial load (P = 0.04) in the three combined dam line crosses, and with spleen bacterial load in the G-B1 cross (P=0.02). The sire caspase-1 gene was also significantly associated with antibody level to SE vaccine (P=0.03) in F1 males in the three combined dam line crosses. The sire IAP-1 gene was significantly associated with spleen bacterial load (P=0.04) in the three combined dam-line crosses, and interacted with dam-line genetics (P = 0.01) for cecum content bacterial load. The sire PSAP gene significantly interacted with sex for spleen bacterial load (P = 0.004). This study is the first to demonstrate the association of SNPs for caspase-1, IAP-1, and PSAP genes with SE vaccine and with pathogen challenge response in chickens.

Candidate genes for resistance to Salmonella enteritidis colonization in chickens as detected in a novel genetic cross

Salmonellosis is a zoonotic disease that is problematic for both animal production and food safety. A novel genetic cross, named the Iowa Salmonella response resource population (ISRRP), was established to elucidate the genetic control of resistance to Salmonella enteritidis (SE) colonization in young chicks, to characterize unique resistance alleles, and to estimate gene interaction effects. Outbred broiler sires were mated with dams of diverse, highly inbred, light-bodied lines to produce an F(1) generation that was informative for all heterozygous alleles of the sires. Mating F(1) sires back to dams of the corresponding inbred line produced a backcross generation. To mimic the natural route of exposure and thus afford the opportunity to investigate mucosal immunity, pathogenic SE were inoculated into the esophagus of day-old chicks. After 1 week, the SE colonizing the cecal lumen and the spleen were enumerated. Candidate genes were selected for analysis based upon one of the two criteria. Functional candidates were genes with reported activity related to the tested traits. Positional candidates were genes mapped near microsatellites that were linked, in other phases of this project, with antibody levels to SE vaccine. Broiler sire alleles of the MHC class I, NRAMP1, PSAP, and IAP1 genes showed association with SE colonization in the F(1) generation of this novel disease resistance resource population.

Microsatellites linked to Salmonella enterica Serovar Enteritidis burden in spleen and cecal content of young F1 broiler-cross chicks

Contamination of poultry and poultry products by Salmonella enterica Serovar Enteritidis (SE) continues to be problematic even though biosafety management practices have aided in reduction of the SE burden. Identification of molecular markers linked to disease resistance loci would further reduce SE burden by enabling selection for genetic resistance. The objectives of this study were therefore to evaluate specific genomic regions for resistance to SE burden in young broiler-cross chicks and to evaluate the interaction of allele with dam line and sex. Three hatches of F1 chicks were produced by crossing sires from a broiler breeder male line with hens from three highly inbred lines (Fayoumi 15.2, and MHC-congenic G-B1 and G-B2 Leghorn). At 1 d of age, the chicks were intraesophageally inoculated with SE phage type 13a. Spleen and cecal content samples were harvested at 1 wk, and the levels of SE were quantified by serial plate dilution. Each of the F1 chicks was genotyped with four microsatellites that had previously been shown to be linked to antibody response to SE vaccine. All four microsatellites had a significant (P < or = 0.05) main effect or interaction with dam line or sex on the level of SE in spleen and cecal contents.