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Exonic SNP in MHC-DMB2 is associated with gene expression and humoral immunity in Japanese quails. Vet Immunol Immunopathol 2021; 239:110302. [PMID: 34311147 DOI: 10.1016/j.vetimm.2021.110302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/01/2021] [Accepted: 07/16/2021] [Indexed: 11/23/2022]
Abstract
The DMB2 gene is widely expressed at high levels in avian. This gene plays an important role in humoral immunity. The aim of this study was to investigate the effects of 361 G > C Single nucleotide polymorphism (SNP) on DMB2 protein structure and gene expression to determine how the 361 G > C SNP affects humoral immune response in Japanese quails. 0.2 mL of 5% sheep red blood cell (SRBC) was injected into breast muscle of 130 Japanese quails on 28 days. After DNA extraction, PCR was carried out to amplify a 333-base pair DNA fragment from the exon 2 of DMB2 gene. The pattern of all samples was determined through RFLP technique. PCR-RFLP results identified two alleles segregating (C, G) as three genotypes (CC, CG and GG) in Japanese Quails. The antibody response to SRBC with CC genotype was significantly higher than the CG and GG genotypes (P < 0.01). In silico analysis showed that the 361 G > C SNP has no effect on the physicochemical properties and 3D structure. The results of RT-qPCR indicated that the effect of genotype on gene expression is significant, so that the expression of CC genotype is more than CG and GG genotype. It can be inferred that the 361 G > C SNP in the exon 2 of MHC-DMB2 gene is not desirable. This mutation decreases humoral immune response by reducing DMB2 gene expression.
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Iglesias GM, Beker MP, Remolins JS, Canet ZE, Librera J, Cantaro H, Maizon DO, Fulton JE. MHC-B variation in maternal and paternal synthetic lines of the Argentinian Campero INTA chicken. Poult Sci 2021; 100:101253. [PMID: 34217141 PMCID: PMC8258676 DOI: 10.1016/j.psj.2021.101253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/16/2021] [Accepted: 05/03/2021] [Indexed: 11/30/2022] Open
Abstract
The Campero-INTA chicken of Argentina was developed to provide a robust bird that can survive under Argentinian pasture conditions with no significant additional nutrition, producing a source of animal protein for small producers or low-income families. In previous work, we described the AH paternal line of Campero and its Major Histocompatibility Complex B region (MHC-B) variation. In this work we analyzed the three remaining synthetic lines used to produce the Campero-INTA production bird: lines AS, A, and E. Because of the association between variation within the MHC of chickens and disease resistance, MHC variation within this breed is of particular interest. MHC variability within the lines used to produce the Campero-INTA chicken was examined using a 90 SNP panel encompassing the chicken MHC-B region plus the VNTR, LEI0258, located within the chicken MHC. Across all 4lines 12 haplotypes were found, with 7 of these being previously reported in North America/European breeds, reflecting the original breed sources for these birds. Three Campero unique haplotypes were found, 2 of which likely originated from MHC recombination events. MHC-B variation for all lines involved with production of the final Campero-INTA bird has now been determined.
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Affiliation(s)
- Gabriela M Iglesias
- Universidad Nacional de Rio Negro, Sede Alto Valle y Valle Medio, Escuela de Veterinaria y Producción Agroindustrial, Cátedra de Genética, Pacheco 460, Choele Choel, Rio Negro, 8360 Argentina.
| | - María P Beker
- Universidad Nacional de Rio Negro, Sede Alto Valle y Valle Medio, Escuela de Veterinaria y Producción Agroindustrial, Cátedra de Genética, Pacheco 460, Choele Choel, Rio Negro, 8360 Argentina
| | - Jose S Remolins
- Universidad Nacional de Rio Negro, Sede Alto Valle y Valle Medio, Escuela de Veterinaria y Producción Agroindustrial, Cátedra de Genética, Pacheco 460, Choele Choel, Rio Negro, 8360 Argentina
| | - Zulma E Canet
- Universidad Nacional de Rosario, Facultad de Ciencias Veterinarias, Cátedra de Genética, Boulevard Ovidio Lagos y Ruta 33, Casilda. Santa Fe, Argentina; INTA Pergamino, Estación Experimental Agropecuaria "Ing. Agr. Walter Kugler", Av. Frondizi (Ruta 32) Km 4,5. Pergamino, Buenos Aires, Argentina
| | - José Librera
- Universidad Nacional de Rosario, Facultad de Ciencias Veterinarias, Cátedra de Genética, Boulevard Ovidio Lagos y Ruta 33, Casilda. Santa Fe, Argentina
| | - Horacio Cantaro
- Universidad Nacional de Rio Negro, Sede Alto Valle y Valle Medio, Escuela de Veterinaria y Producción Agroindustrial, Cátedra de Genética, Pacheco 460, Choele Choel, Rio Negro, 8360 Argentina; Estación Experimental Agropecuaria Alto Valle, Programa Nacional de Producción Animal, Ruta Nacional 22, Km, 1190 Argentina
| | - Daniel O Maizon
- Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Anguil, Ruta Nacional 5 Km 580, Anguil, Argentina
| | - Janet E Fulton
- Hy-Line International, P.O. Box 310 Dallas Center, IA 50063, USA
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Manjula P, Kim M, Cho S, Seo D, Lee JH. High Levels of Genetic Variation in MHC-Linked Microsatellite Markers from Native Chicken Breeds. Genes (Basel) 2021; 12:240. [PMID: 33567601 PMCID: PMC7915948 DOI: 10.3390/genes12020240] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 12/12/2022] Open
Abstract
The major histocompatibility complex (MHC) is a highly polymorphic gene region that regulates cellular communication in all specific immune responses. In this study, we investigated 11 microsatellite (MS) markers in the MHC-B region of chicken populations from four countries: Sri Lanka, Bangladesh, South Korea, and Nigeria. The MS markers were divided into two sets. Set 1 included five novel MS markers, which we assessed using 192 samples from 21 populations. Set 2 included six previously reported markers, which we assessed using 881 samples from 29 populations. The Set 1 MS markers had lower polymorphism (polymorphic information content (PIC) < 0.5) than the Set 2 markers (PIC = 0.4-0.9). In all populations, the LEI0258 marker was the most polymorphic, with a total of 38 alleles (PIC = 0.912, expected heterozygosity (He) = 0.918). Local populations from Sri Lanka, Bangladesh, and Nigeria had higher allele diversity and more haplotypes for Set 2 MS markers than Korean and commercial populations. The Sri Lankan Karuwalagaswewa village population had the highest MHC diversity (mean allele number = 8.17, He = 0.657), whereas the white leghorn population had the lowest (mean allele number = 2.33, He = 0.342). A total of 409 haplotypes (89 shared and 320 unique), with a range of 4 (Rhode Island red) to 46 (Karuwalagaswewa village (TA)), were identified. Among the shared haplotypes, the B21-like haplotype was identified in 15 populations. The genetic relationship observed in a neighbour-joining tree based on the DA distance agreed with the breeding histories and geographic separations. The results indicated high MHC diversity in the local chicken populations. The difference in the allelic pattern among populations presumably reflects the effects of different genotypes, environments, geographic variation, and breeding policies in each country. The selection of MHC allele in domestic poultry can vary due to intensification of poultry production. Preserved MHC diversity in local chicken provides a great opportunity for future studies that address the relationships between MHC polymorphisms and differential immune responses.
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Affiliation(s)
| | | | | | | | - Jun Heon Lee
- Division of Animal and Dairy Science, Chungnam National University, Daejeon 34134, Korea; (P.M.); (M.K.); (S.C.); (D.S.)
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Li W, Zheng M, Zhao G, Wang J, Liu J, Wang S, Feng F, Liu D, Zhu D, Li Q, Guo L, Guo Y, Liu R, Wen J. Identification of QTL regions and candidate genes for growth and feed efficiency in broilers. Genet Sel Evol 2021; 53:13. [PMID: 33549052 PMCID: PMC7866652 DOI: 10.1186/s12711-021-00608-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 01/26/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Feed accounts for about 70% of the total cost of poultry meat production. Residual feed intake (RFI) has become the preferred measure of feed efficiency because it is phenotypically independent of growth rate and body weight. In this study, our aim was to estimate genetic parameters and identify quantitative trait loci (QTL) for feed efficiency in 3314 purebred broilers using a genome-wide association study. Broilers were genotyped using a custom 55 K single nucleotide polymorphism (SNP) array. RESULTS Estimates of genomic heritability for seven growth and feed efficiency traits, including body weight at 28 days of age (BW28), BW42, average daily feed intake (ADFI), RFI, and RFI adjusted for weight of abdominal fat (RFIa), ranged from 0.12 to 0.26. Eleven genome-wide significant SNPs and 15 suggestively significant SNPs were detected, of which 19 clustered around two genomic regions. A region on chromosome 16 (2.34-2.66 Mb) was associated with both BW28 and BW42, and the most significant SNP in this region, AX_101003762, accounted for 7.6% of the genetic variance of BW28. The other region, on chromosome 1 (91.27-92.43 Mb) was associated with RFI and ADFI, and contains the NSUN3 and EPHA6 as candidate genes. The most significant SNP in this region, AX_172588157, accounted for 4.4% of the genetic variance of RFI. In addition, a genomic region containing the gene AGK on chromosome 1 was found to be associated with RFIa. The NSUN3 and AGK genes were found to be differentially expressed in breast muscle, thigh muscle, and abdominal fat between male broilers with high and low RFI. CONCLUSIONS We identified QTL regions for BW28 and BW42 (spanning 0.32 Mb) and RFI (spanning 1.16 Mb). The NSUN3, EPHA6, and AGK were identified as the most likely candidate genes for these QTL. These genes are involved in mitochondrial function and behavioral regulation. These results contribute to the identification of candidate genes and variants for growth and feed efficiency in poultry.
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Affiliation(s)
- Wei Li
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Maiqing Zheng
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Guiping Zhao
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jie Wang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jie Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Shunli Wang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Furong Feng
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan, 528515 China
| | - Dawei Liu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan, 528515 China
| | - Dan Zhu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan, 528515 China
| | - Qinghe Li
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Liping Guo
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Yuming Guo
- College of Animal Science and Technology, China Agricultural University, Beijing, 100193 China
| | - Ranran Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Jie Wen
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
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Haunshi S, Devara D, Ramasamy K, Ullengala R, Chatterjee RN. Genetic diversity at major histocompatibility complex and its effect on production and immune traits in indigenous chicken breeds of India. Arch Anim Breed 2020; 63:173-182. [PMID: 32760784 PMCID: PMC7397721 DOI: 10.5194/aab-63-173-2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 05/12/2020] [Indexed: 12/03/2022] Open
Abstract
The genetic diversity at major histocompatibility complex (MHC) in indigenous chicken breeds of India
(Ghagus and Nicobari) in comparison with the White Leghorn (WLH) breed was
investigated by genotyping the MHC-linked LEI0258 marker. Altogether 38 alleles
and 96 genotypes were observed among three breeds. The observed and
effective alleles were highest in Ghagus (23, 8.3) followed by Nicobari (14,
3.2) and WLH (10 and 2.2) breeds. The size of alleles ranged from 193 to 489 bp in Ghagus, 193 to 552 bp in Nicobari and 241 to 565 bp in the WLH breed. The
number of private alleles was also highest in Ghagus (18) followed by
Nicobari (8) and WLH (5) breeds. The most frequent allele was 261 bp in WLH
(66 %), 343 bp in Nicobari (50.4 %) and 309 bp in the Ghagus (28.15 %)
breed. Observed and expected heterozygosities were highest in Ghagus (0.83,
0.88) followed by Nicobari (0.58, 0.68) and WLH (0.53, 0.54). The genetic
distance (Nei) between Ghagus and Nicobari breeds (2.24) was higher as
compared to that of Ghagus and WLH (1.23) and that between Nicobari and WLH
breeds (0.89). Association analysis revealed significant influence of MHC
alleles on body weight, egg production in Ghagus and WLH breeds and antibody
titres to Newcastle disease vaccine in the Nicobari breed.
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Affiliation(s)
- Santosh Haunshi
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
| | - Divya Devara
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
| | - Kannaki Ramasamy
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
| | - Rajkumar Ullengala
- ICAR-Directorate of Poultry Research, Rajendranagar, Hyderabad 500030, India
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E GX, Duan XH, Yang BG, Na RS, Han YG, Zeng Y. Genetic Diversity Pattern of the MHC-LEI0258 Locus across Asian Populations of Chickens. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420060058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Wang Q, Wang F, Liu L, Li Q, Liu R, Zheng M, Cui H, Wen J, Zhao G. Genetic Mutation Analysis of High and Low IgY Chickens by Capture Sequencing. Animals (Basel) 2019; 9:ani9050272. [PMID: 31126132 PMCID: PMC6562818 DOI: 10.3390/ani9050272] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 05/19/2019] [Accepted: 05/20/2019] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Immunoglobulin Y (IgY) is the major antibody produced by hens and it endows their offspring with effective humoral immunity against the pathogens. In previous research, we identified 13 genomic regions that were significantly associated with the serum IgY level or antibody responses to sheep red-blood-cells, but the specific mutations in these regions have not been reported. Therefore, we screened for variations in these regions in White Leghorn and Beijing-You chickens with high and low IgY. Our study identified 35,154 mutations and 829 Indels which were associated with IgY levels in both lines. Many non-synonymous mutations were located in crucial genes related to the host immune function, indicating the possible involvement of these genes in controlling IgY levels. Abstract Based on the results of our previous genome-wide association study (GWAS), a comprehensive analysis on single nucleotide polymorphisms (SNPs) was performed on White Leghorn and Beijing-You chickens with high and low IgY levels in defined genomic regions using the capture-sequencing approach. High and low IgY chickens showed substantial genetic variations. In total, more than 30,000 SNPs were found in all four chicken groups, among which 1045 were non-synonymous mutations resulting in amino acids alterations. In total, 23,309 Indels were identified. Among the 1169 Indels that were found only in Beijing-You chickens, 702 were shared between high and low IgY chickens compared with the reference genome. There were 1016 Indels specific to the White Leghorn chickens, among which 188 were high IgY-specific, 134 were low IgY-specific and 694 were shared between the high and low IgY chicken lines. Many genetic mutations were located in the regulatory regions of important immunomodulatory genes, including TAP1, TAP2 and BF1. Our findings provide an in-depth understanding of genetic mutations in chicken microchromosomes.
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Affiliation(s)
- Qiao Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Fei Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Lu Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
| | - Qinghe Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Ranran Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Maiqing Zheng
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Huanxian Cui
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Jie Wen
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| | - Guiping Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
- State Key Laboratory of Animal Nutrition, Beijing 100193, China.
- School of Life Science and Engineering, Foshan University, Foshan 528225, China.
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Al-Karagoly H, Nikbakht G, Hassanzadeh M, Tolouei T. Turkey humoral and cell-mediated immune responses to a Newcastle viscerotropic vaccine and its association with major histocompatibility complex. BULGARIAN JOURNAL OF VETERINARY MEDICINE 2019. [DOI: 10.15547/bjvm.2031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Immune responses to vaccines are mainly influenced by the nature of vaccines and host variation in response to vaccination. In this study we aimed to investigate turkey humoral and cell-mediated immune responses to a Newcastle viscerotropic vaccine and its association with major histocompatibility complex (MHC). Turkeys were vaccinated with Villegas–Glisson/University of Georgia (VG/GA) attenuated vaccine against Newcastle disease. The stimulation index of lymphocyte proliferation and antigen-specific local secretory IgA responses in bile, duodenum, ileum, as well as serum IgY and IgA responses were analysed by enzyme-linked immunosorbent assay. The turkey MHC class II B locus was selected as candidate gene for detection of associations with cellular and humoral immune responses. Significant differences were observed between both cellular and humoral responses of vaccinated and unvaccinated groups. A significant positive correlation was also found between ND specific IgY and ND specific IgA titres in serum, intestine (duodenum and ileum) and trachea. Moreover, the correlation between specific IgA titres in ileum and specific bile, duodenum and trachea was positively significant. High resolution melting analysis (HRM) was used to genotype MHC class II B exon 2. Eight melting profiles (A-G) were identified, among which, profile G showed a significant association with cellular response. The profile B revealed significant association with total IgA titres in serum and ileum. These findings help our understanding of the association of turkey MHC types with immune responses. Further correlation analysis between serum and mucosal antibody titres demonstrated that the levels of IgY and IgA in serum can give an impression about the levels of secretory IgA and situation of mucosal immunity. Based on the significant effects, ND specific IgY in serum appears to be a promising indirect marker for specific IgA in serum and trachea.
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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: 1.9] [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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Sulimova GE, Oyun NY, Sevastianova AA, Alexandrov AV, Vakhrameev AB, Kuzevanova AY, Alimov AA. Evaluation of polymorphism loci associated with viral diseases in spangled Orloff chicken breed. RUSS J GENET+ 2017. [DOI: 10.1134/s1022795417100118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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11
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Esmailnejad A, Nikbakht Brujeni G, Badavam M. LEI0258 microsatellite variability and its association with humoral and cell mediated immune responses in broiler chickens. Mol Immunol 2017; 90:22-26. [PMID: 28662410 DOI: 10.1016/j.molimm.2017.06.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Revised: 05/06/2017] [Accepted: 06/12/2017] [Indexed: 11/20/2022]
Abstract
Major histocompatibility complex (MHC) has a profound influence on disease resistance or susceptibility, productivity and important economic traits in chicken. Association of the MHC with a wide range of immune responses makes it a valuable predictive factor for the disease pathogenesis and outcome. The tandem repeat LEI0258 is a genetic marker which is located within the B locus of chicken MHC and strongly associated with serologically defined haplotypes. LEI0258 microsatellite marker was applied to investigate the MHC polymorphism in Ross 308 broiler chicken (N=104). Association of LEI0258 alleles with humoral and cell mediated immune responses to Newcastle disease (ND), Infectious bursal disease (IBD) and Avian influenza (AI) vaccines were also examined. LEI0258 polymorphism was determined by PCR-based fragment analysis, and association of LEI0258 alleles with immune responses were evaluated using multivariate regression analysis and GLM procedures. A total of seven alleles ranging from 195 to 448bp were found, including two novel alleles (263 and 362bp) that were unique in Ross 308 broiler population. Association study revealed a significant influence of MHC alleles on humoral and cellular immune responses in Ross population (P<0.05). Alleles 385 and 448bp were associated with increased peripheral blood lymphocyte proliferation response. Alleles 300, 362 and 448bp had a positive effect on immune responses to Infectious bursal disease vaccine, and allele 263bp was significantly correlated with elevated antibody titer against Newcastle disease vaccine. Results obtained from this study confirmed the important role of MHC as a candidate gene marker for immune responses that could be used in genetic improvement of disease-resistant traits and resource conservation in broiler population.
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Affiliation(s)
- Atefeh Esmailnejad
- Department of Pathobiology, School of Veterinary Medicine, Shiraz University, Shiraz, Iran
| | - Gholamreza Nikbakht Brujeni
- Department of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
| | - Maryam Badavam
- Department of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
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Sartore S, Sacchi P, Soglia D, Maione S, Schiavone A, De Marco M, Ceccobelli S, Lasagna E, Rasero R. Genetic variability of two Italian indigenous chicken breeds inferred from microsatellite marker analysis. Br Poult Sci 2016; 57:435-43. [PMID: 27159279 DOI: 10.1080/00071668.2016.1187714] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The objective of this study was to determine the genetic structure and variability of Bionda Piemontese and Bianca di Saluzzo (Piedmont, Northwest Italy) using an international set of microsatellite loci (AVIANDIV-FAO). Differences compared with commercial lines and other Italian breeds were verified to justify the implementation of conservation programmes. Flock contribution to genetic variability was assessed following the approach implemented in the MolKin software. Comparison was performed using the fixation index and the Reynolds genetic distance. The most likely number of different populations was estimated using the clustering procedure implemented in STRUCTURE. The molecular information suggests that management practices could have prevented random mating and produced inbreeding and heterogeneity across flocks. In this respect, Bionda and Bianca show substructuring and are more similar to British breeds than other continental European breeds. Bionda and Bianca fit into the European breeds provided with the highest number of alleles and expected heterozygosity. There is a clear distinction between the Piedmont breeds and the other populations. The Piedmont poultry differ from both commercial lines and other Italian breeds and retain a high level of genetic variability. As for other indigenous breeds, Bionda and Bianca could make an original contribution to the industry in the future. A collective planned approach to restoration is essential, because the flocks are managed with poor regulation. Enhancing connection between breeders with an efficient replacement interchange and mating plan is the right way of controlling inbreeding, preventing substructuring and increasing variability within the flocks.
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Affiliation(s)
- S Sartore
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - P Sacchi
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - D Soglia
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - S Maione
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - A Schiavone
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - M De Marco
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
| | - S Ceccobelli
- b Dipartimento di Scienze Agrarie, Alimentari e Ambientali , Perugia University , Perugia , Italy
| | - E Lasagna
- b Dipartimento di Scienze Agrarie, Alimentari e Ambientali , Perugia University , Perugia , Italy
| | - R Rasero
- a Dipartimento di Scienze Veterinarie , Turin University , Grugliasco , Italy
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13
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Fulton JE, McCarron AM, Lund AR, Pinegar KN, Wolc A, Chazara O, Bed'Hom B, Berres M, Miller MM. A high-density SNP panel reveals extensive diversity, frequent recombination and multiple recombination hotspots within the chicken major histocompatibility complex B region between BG2 and CD1A1. Genet Sel Evol 2016; 48:1. [PMID: 26743767 PMCID: PMC4705597 DOI: 10.1186/s12711-015-0181-x] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Accepted: 12/23/2015] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The major histocompatibility complex (MHC) is present within the genomes of all jawed vertebrates. MHC genes are especially important in regulating immune responses, but even after over 80 years of research on the MHC, much remains to be learned about how it influences adaptive and innate immune responses. In most species, the MHC is highly polymorphic and polygenic. Strong and highly reproducible associations are established for chicken MHC-B haplotypes in a number of infectious diseases. Here, we report (1) the development of a high-density SNP (single nucleotide polymorphism) panel for MHC-B typing that encompasses a 209,296 bp region in which 45 MHC-B genes are located, (2) how this panel was used to define chicken MHC-B haplotypes within a large number of lines/breeds and (3) the detection of recombinants which contributes to the observed diversity. METHODS A SNP panel was developed for the MHC-B region between the BG2 and CD1A1 genes. To construct this panel, each SNP was tested in end-point read assays on more than 7500 DNA samples obtained from inbred and commercially used egg-layer lines that carry known and novel MHC-B haplotypes. One hundred and one SNPs were selected for the panel. Additional breeds and experimentally-derived lines, including lines that carry MHC-B recombinant haplotypes, were then genotyped. RESULTS MHC-B haplotypes based on SNP genotyping were consistent with the MHC-B haplotypes that were assigned previously in experimental lines that carry B2, B5, B12, B13, B15, B19, B21, and B24 haplotypes. SNP genotyping resulted in the identification of 122 MHC-B haplotypes including a number of recombinant haplotypes, which indicate that crossing-over events at multiple locations within the region lead to the production of new MHC-B haplotypes. Furthermore, evidence of gene duplication and deletion was found. CONCLUSIONS The chicken MHC-B region is highly polymorphic across the surveyed 209-kb region that contains 45 genes. Our results expand the number of identified haplotypes and provide insights into the contribution of recombination events to MHC-B diversity including the identification of recombination hotspots and an estimation of recombination frequency.
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Affiliation(s)
| | | | | | | | - Anna Wolc
- Hy-Line International, Dallas Center, IA, USA.
- Iowa State University, 239C Kildee, Ames, IA, 50011, USA.
| | - Olympe Chazara
- Department of Pathology and Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
- Génétique Animale et Biologie Intégrative, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
| | - Bertrand Bed'Hom
- Génétique Animale et Biologie Intégrative, INRA, AgroParisTech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
| | - Mark Berres
- Department of Animal Sciences, University of Wisconsin, Madison, USA.
| | - Marcia M Miller
- Department of Molecular and Cellular Biology, Beckman Research Institute, City of Hope, Duarte, CA, USA.
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14
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Niraj DK, Kumar P, Mishra C, Narayan R, Bhattacharya TK, Shrivastava K, Bhushan B, Tiwari AK, Saxena V, Sahoo NR, Sharma D. Single nucleotide polymorphism mining and nucleotide sequence analysis of Mx1 gene in exonic regions of Japanese quail. Vet World 2015; 8:1435-43. [PMID: 27047057 PMCID: PMC4774823 DOI: 10.14202/vetworld.2015.1435-1443] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 10/31/2015] [Accepted: 11/08/2015] [Indexed: 11/16/2022] Open
Abstract
AIM An attempt has been made to study the Myxovirus resistant (Mx1) gene polymorphism in Japanese quail. MATERIALS AND METHODS In the present, investigation four fragments viz. Fragment I of 185 bp (Exon 3 region), Fragment II of 148 bp (Exon 5 region), Fragment III of 161 bp (Exon 7 region), and Fragment IV of 176 bp (Exon 13 region) of Mx1 gene were amplified and screened for polymorphism by polymerase chain reaction-single-strand conformation polymorphism technique in 170 Japanese quail birds. RESULTS Out of the four fragments, one fragment (Fragment II) was found to be polymorphic. Remaining three fragments (Fragment I, III, and IV) were found to be monomorphic which was confirmed by custom sequencing. Overall nucleotide sequence analysis of Mx1 gene of Japanese quail showed 100% homology with common quail and more than 80% homology with reported sequence of chicken breeds. CONCLUSION The Mx1 gene is mostly conserved in Japanese quail. There is an urgent need of comprehensive analysis of other regions of Mx1 gene along with its possible association with the traits of economic importance in Japanese quail.
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Affiliation(s)
- Diwesh Kumar Niraj
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Pushpendra Kumar
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Chinmoy Mishra
- Department of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, Orissa University of Agriculture and Technology, Bhubaneswar, Odisha, India
| | - Raj Narayan
- Department of Avian Genetics and Breeding, Central Avian Research Institute, Izatnagar, Bareilly, 243 122, Uttar Pradesh, India
| | | | - Kush Shrivastava
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Bharat Bhushan
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Ashok Kumar Tiwari
- Standardization Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Vishesh Saxena
- Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, India
| | - Nihar Ranjan Sahoo
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
| | - Deepak Sharma
- Animal Genetics Division, Indian Veterinary Research Institute, Izatnagar, Bareilly - 243 122, Uttar Pradesh, India
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