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Li X, Nie C, Zhang Z, Wang Q, Shao P, Zhao Q, Chen Y, Wang D, Li Y, Jiao W, Li L, Qin S, He L, Jia Y, Ning Z, Qu L. Evaluation of genetic resistance to Salmonella Pullorum in three chicken lines. Poult Sci 2018; 97:764-769. [PMID: 29294099 DOI: 10.3382/ps/pex354] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Indexed: 12/16/2022] Open
Abstract
Resistance to diseases varies considerably among populations of the same species and can be ascribed to both genetic and environmental factors. Salmonella Pullorum (SP) is responsible for significant losses in the poultry industry, especially in developing countries. To better understand SP resistance in chicken populations with different genetic backgrounds, we orally challenged 3 chicken lines with SP-a highly selected commercial breed (Rhode Island Red, RIR), a local Chinese chicken (Beijing You, BY), and a synthetic layer line (dwarf, DW)-at 4 d of age. Two traits related to SP resistance, survival, and bacterial carriage in the spleen were evaluated after infection. Survival rates were recorded up to 40 d of age when all chickens still alive were killed to verify the presence of SP in the spleen to determine carrier state. Mortalities for RIR, BY, and DW chicks were 25.1%, 8.3%, and 22.7%, respectively, and the corresponding carrier-states in the spleens were 17.9%, 0.6%, and 15.8%. Survival and carrier-state heritabilities were estimated using an animal threshold model. Survival heritability was 0.197, 0.091, and 0.167 in RIR, BY, and DW populations, respectively, and the heritabilities of carrier state for DW and RIR were 0.32 and 0.16, respectively. This is the first time that the heritability of the SP carrier state has been evaluated in chickens. Our study provides experimental evidence that chickens with various genetic background exhibited significantly different SP-resistant activities and heritabilities. These results may be useful for selecting lines with better disease resistance.
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Affiliation(s)
- Xinghua Li
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Changsheng Nie
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Zebin Zhang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Qiong Wang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Pingping Shao
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Qingna Zhao
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Yu Chen
- Beijing Municipal General Station of Animal Science, Beijing, P. R. China
| | - Dehe Wang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Yajie Li
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Wenjie Jiao
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Lixia Li
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Sudi Qin
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Li He
- National Center of Preservation & Utilization of Genetic Resources of Animal, National Animal Husbandry Service, Beijing 100193, P. R. China
| | - Yaxiong Jia
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Zhonghua Ning
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
| | - Lujiang Qu
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, P. R. China
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Ask B, van der Waaij EH, Bishop SC. Modeling variability in immunocompetence and immunoresponsiveness. Poult Sci 2008; 87:1748-59. [PMID: 18753442 DOI: 10.3382/ps.2008-00063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The purposes of this paper were to 1) develop a stochastic model that would reflect observed variation between animals and across ages in immunocompetence and responsiveness; and 2) illustrate consequences of this variability for the statistical power of genotype comparisons and selection. A stochastic model of immunocompetence development and responsiveness kinetics was developed. This model enabled variability in immunological variables to be taken into account in the evaluation of challenge and measurement strategies for selection. The characteristics of the variation in model output reflect those observed in the literature, to the extent that variation in the literature shows a consistent pattern; knowledge of true variation and patterns of variation in immunological variables is limited. The model created correlations between immunocompetence and immunoresponsiveness components, as well as correlations within each component across time. These correlations were generally in agreement with literature estimates, where available. The model enabled predictions of the effectiveness of selection for improved health through immunocompetence or immunoresponsiveness. It was predicted that effective selection for increased general immunocompetence to improve health should be done only when baseline immunity has matured. Further, the model implied that selection is unlikely to be successful if it is based only on a single measurement. Problems with low statistical power to detect differences between genotypes can be reduced by increasing challenge age in the experimental design, and one should ensure that the effects of maternal immunity are minimal when the challenge is done. The ability to detect differences between different groups of animals differs substantially with measurement timing because of low repeatabilities of immunocompetence and responsiveness across time. In general, the probability of detecting differences becomes higher when the challenge age is increased. Consequently, both the age at selection and the age at which information is gathered for selection must be considered carefully when designing genetic evaluations.
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Affiliation(s)
- B Ask
- Department of Farm Animal Health, Utrecht University, CL Utrecht, The Netherlands.
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Zhou H, Lamont SJ. Chicken MHC class I and II gene effects on antibody response kinetics in adult chickens. Immunogenetics 2003; 55:133-140. [PMID: 12743657 DOI: 10.1007/s00251-003-0566-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2002] [Revised: 03/18/2003] [Indexed: 10/26/2022]
Abstract
The major histocompatibility complex (MHC) plays an important role in regulation of the immune response. The MHC class I and II genes were selected as candidates to investigate associations with vaccine response to Salmonella enteritidis and kinetics of antibody response to sheep red blood cell (SRBC) and Brucella abortus. Primary antibody response after S. enteritidis vaccination at day 10, and antibody response to SRBC and killed B. abortus after immunization at 19 and 22 weeks were measured in an F2 population. The resource population was derived from males of two highly inbred MHC-congenic Fayoumi chicken lines (M5.1 and M15.2) mated with highly inbred G-B1 Leghorn line hens. Secondary phase parameters of minimum titers ( Y(min)), maximum titers ( Y(max)), and time needed to achieve Y(min) ( t(min)) and Y(max) ( t(max)) were estimated from post-secondary titers by using a non-linear regression model. Associations of single nucleotide polymorphisms (SNPs) in MHC class I and II genes with antibody response parameters were determined by a general linear model. Significant associations were found primarily in the M15.2 grandsire haplotype. There were significant associations between MHC class I alpha(1) and alpha(2) SNPs and antibody response to S. enteritidis, primary antibody response to B. abortus, Y(min) to SRBC, and Y(max) to both SRBC and B. abortus. There were significant effects of the MHC class II beta(1) domain SNP on S. enteritidis antibody and Y(max) to SRBC. The results suggest that the characterized SNPs might be used in future applications by marker-assisted selection to improve vaccine response and immunocompetence in chickens.
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Affiliation(s)
- Huaijun Zhou
- Department of Animal Science, Iowa State University, Ames, IA 50011-3150, USA
| | - Susan J Lamont
- Department of Animal Science, Iowa State University, Ames, IA 50011-3150, USA.
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Yang N, Larsen CT, Dunnington TE, Geraert PA, Picard PM, Siegel PB. Immune competence of chicks from two lines divergently selected for antibody response to sheep red blood cells as affected by supplemental vitamin E. Poult Sci 2000; 79:799-803. [PMID: 10875758 DOI: 10.1093/ps/79.6.799] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Effects of dietary vitamin E on responses to SRBC antigens and Escherichia coli infection were studied in chicks from White Leghorn lines selected for 24 generations for high (HAS) and low (LAS) antibody responses to SRBC. Chicks were fed corn-soybean diets consisting of either high (300 IU per kg feed) or low (10 IU per kg feed) concentrations of vitamin E from the day of hatch through the end of experiment. The LAS chicks were heavier than the HAS chicks at 14 d of age and thereafter; there was no difference in BW between vitamin E concentrations. At 37 d of age, chicks were inoculated via the brachial vein with 0.1 mL of 0.25% SRBC suspension. Antibody titers at 6 and 10 d after inoculation were higher in HAS than in LAS chicks. At 6 and 10 d after inoculation with SRBC, antibody responses were lower in LAS chicks fed the diet containing the higher vitamin E concentration than in those fed the diet containing the lower concentration of vitamin E. At 64 d of age, chicks were injected in the posterior thoracic air sac with 0.1 mL of 10(-2) or 10(-4) dilution of Escherichia coli and scored for pericardial and air sac lesions. The HAS chicks were more susceptible to E. coli infection than LAS chicks as measured by lesion scores and BW changes. Although dietary vitamin E had no effect on lesion scores in either line, BW loss at 24 h after E. coli inoculation was significantly reduced in HAS chicks fed the higher concentration of vitamin E. The dosage of E. coli had no effect on lesion scores and BW changes. These results suggest that genetic selection might have changed immune competence in relation to responses to dietary vitamin E, and the optimum dietary concentration of vitamin E depends on genotype, among other factors.
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Affiliation(s)
- N Yang
- Animal and Poultry Sciences Department, Virginia Tech, Blacksburg 24061-0306, USA
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