Fold changes in relative mRNA expression of immune response genes in lymphoid tissues of Rhode Island Red chicken

ABDUL RAHIM; SANJEEV KUMAR; JOWEL DEBNATH; RAMJI YADAV; ANANTA KUMAR DAS; A S YADAV

doi:10.56093/ijans.v87i6.71331

Authors

ABDUL RAHIM ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India
SANJEEV KUMAR ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India
JOWEL DEBNATH ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India
RAMJI YADAV ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India
ANANTA KUMAR DAS ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India
A S YADAV ICAR-Central Avian Research Institute, Izatnagar, Uttar Pradesh 243 122 India

https://doi.org/10.56093/ijans.v87i6.71331

Keywords:

IL1–β, iNOS, Lymphoid tissue, mRNA expression, RIR chicken, TLR15

Abstract

Fold changes in relative mRNA expression of three immune response genes viz. IL1–β, iNOS and TLR15 were determined in bursa, spleen and thymus tissues of Rhode Island Red chicken. Total RNA was isolated from 12 birds, aged around 6–8 weeks. Relative quantification of mRNA expression was assessed by qRT-PCR. Fold expressions were determined using average threshold cycle (Ct) values employing 2(–∆∆Ct) method. There was wide variation in basal expression levels of immune response genes among different tissues. Basal mRNA expression of IL1–β, iNOS and TLR15 genes was several folds higher in bursa than in spleen and thymus. This investigation has generated important findings related to immune response genes expression which could pave way to further investigation in host-pathogen genetics and finally to develop breeding strategies for improvement of diseases resistance so as to have better protection and production in chicken.

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References

Blanchette J, Jaramillo M and Olivier M. 2003. Signaling events involved in interferon-γ-inducible macrophage nitric oxide generation. Immunology 108: 513–22. DOI: https://doi.org/10.1046/j.1365-2567.2003.01620.x

Cheeseman J H, Kaiser M G, Ciraci C, Kaiser P and Lamont S J. 2007. Breed effect on early cytokine mRNA expression in spleen and cecum of chickens with and without Salmonella enteritidis infection. Developmental and Comparative Immunology 31: 52–60. DOI: https://doi.org/10.1016/j.dci.2006.04.001

Djeraba A, Bernarder N, Dambrine G and Quere P. 2000. Nitric oxide inhibits Marek’s disease virus replication but is not single decisive factor in interferon gamma mediated viral inhibition. Virology 277: 223–34. DOI: https://doi.org/10.1006/viro.2000.0576

Higgs R, Cormican P, Cahalane S, Allan B, Llod A T, Meade K, James T, Lynn D J, Babiuk L A and O’Farrelly C. 2006. Induction of a novel chicken toll-like receptor following Salmonella enteric serovar Typhimurium infection. Infection and Immunuity 74: 1692–98. DOI: https://doi.org/10.1128/IAI.74.3.1692-1698.2006

Hongbao M, Young J and Shen C. 2008. RNA, DNA and protein isolation using TRIzol reagent. Nature and Science 6: 64–75.

Kim D K, Lillehoj H S, Hong Y H, Park D W, Lamont S J, Han J Y and Lillehoj E P. 2008. Immune-related gene expression in two B-complex disparate genetically inbred Fayoumi chicken lines following Eimeria maxima infection. Poultry Science DOI: https://doi.org/10.3382/ps.2007-00383

: 433–43.

Kumar S, Ciraci C, Redmond S B, Chuammitri P, Andreasen C B, Palic D and Lamont S J. 2011. Immune response gene expression in spleens of diverse chicken lines fed dietary immunomodulators. Poultry Science 90: 1009–13. DOI: https://doi.org/10.3382/ps.2010-01235

Leutz A, Damm K, Sterneck E, Kowenz E, Ness S, Frank R, Gausepohl H, Pan Y, Smart J, Hayman M and Graf T. 1989. Molecular cloning of the chicken myelomonocytic growth factor (cMGF) reveals relationship to interleukin 6 and granulocyte colony stimulating factor. EMBO Journal 8: 175– 81. DOI: https://doi.org/10.1002/j.1460-2075.1989.tb03362.x

Livak K J and Schmittgen T D. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2–∆∆CT method. Methods 25: 402–08. DOI: https://doi.org/10.1006/meth.2001.1262

Rahim A, Kumar S, Jagadeesan K. Ullah S, Debnath J, Yadav R and Bhanja S K. 2016. Genetic analysis of growth, production and reproduction traits after long-term selection in Rhode Island Red chicken. Indian Journal of Animal Research 50: 646–51. DOI: https://doi.org/10.18805/ijar.10987

Redmond S B, Chuammitri P, Andreasen C B, Palic D and Lamont S J. 2009. Chicken heterophils from commercially selected and non-selected genetic lines express cytokines differently after in vitro exposure to Salmonella enteritidis. Veterinary Immunology and Immunopathology 132: 129–34. DOI: https://doi.org/10.1016/j.vetimm.2009.05.010

Sterneck E, Blattner C, Graf T and Leutz A. 1992. Structure of the chicken myelomonocytic growth factor gene and specific activation of its promoter in avian myelomonocytic cells by protein kinases. Molecular Cell and Biology 12: 1728–35. DOI: https://doi.org/10.1128/mcb.12.4.1728-1735.1992

Swaggerty C L, Pevzner I Y, Kaiser P and Kogut M H. 2008. Profiling proinflammatory cytokine and chemokine mRNA expression levels as a novel method for selection of increased innate immune responsiveness. Veterinary Immunology and Immunopathology 126: 35–42. DOI: https://doi.org/10.1016/j.vetimm.2008.06.005

Yuan J S, Reed A, Chen F and Stewart Jr, C N. 2006. Statistical analysis of real-time PCR data. BMC Bioinformatics 7: 85. doi: 10.1 186/1471–2105–7–85. DOI: https://doi.org/10.1186/1471-2105-7-85