Variation in Toll-Like Receptor 4 (TLR4) Gene in Chicken Genotypes and Its Association with Resistance to Attenuated Newcastle Virus

Authors

  • Utip Benjamin Ekaluo Department of Genetics and Biotechnology, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115 Calabar, Cross River State, Nigeria
  • Ekerette Emmanuel Ekerette Department of Genetics and Biotechnology, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115 Calabar, Cross River State, Nigeria
  • Benjamin Bendiwhobel Ushie Department of Genetics and Biotechnology, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115 Calabar, Cross River State, Nigeria
  • Godwin Egbe John Department of Microbiology, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115 Calabar, Cross River State, Nigeria
  • Ekei Victor Ikpeme Department of Genetics and Biotechnology, Faculty of Biological Sciences, University of Calabar, P.M.B. 1115 Calabar, Cross River State, Nigeria

DOI:

https://doi.org/10.54536/ajfst.v4i2.6049

Keywords:

Antibody Response, Chicken Genotypes, Genetic Diversity, Newcastle Disease, Toll-Like Receptor 4

Abstract

Newcastle disease (ND) remains a major constraint to poultry production, and genetic variation in immune-related genes may influence vaccine responsiveness. This study evaluated variation in the Toll-like receptor 4 (TLR4) gene among four chicken genotypes: normal feather (NFC), naked neck (NNC), frizzle feather (FFC), and exotic (EXC), and assessed their antibody responses to attenuated ND vaccination. A total of 100 day-old chicks were reared under uniform intensive management. Birds were vaccinated at two weeks of age, with a booster administered one week later. Blood samples were collected 14 days post-vaccination for determination of haemagglutination inhibition (HI) titre. Genomic DNA was extracted from blood, and the TLR4 gene was PCR-amplified, sequenced, and analyzed for nucleotide and haplotype diversity, mismatch distribution, and phylogenetic relationships. Results showed significant differences in antibody titres among genotypes (p < 0.05), with FFC exhibiting the highest response, followed by NNC, NFC, and EXC. Genetic diversity analysis revealed the highest nucleotide diversity in FFC (π = 0.121) and lowest in EXC (π = 0.031), with haplotype diversity ranging from 0.822 (NNC) to 1.00 (NFC). Pairwise Fst and Gst values indicated low to moderate differentiation, and phylogenetic analysis showed admixture among genotypes, with two major clades. Mismatch distributions were multimodal and ragged, suggesting complex demographic histories. The findings indicate that indigenous genotypes, particularly FFC and NNC, combine higher genetic diversity with stronger antibody responses to ND vaccination. Polymorphisms in the TLR4 gene may contribute to enhanced immune competence, highlighting the potential of these genotypes as genetic resources for breeding programmes aimed at improving disease resistance and sustainable poultry production.

Downloads

Download data is not yet available.

References

Ajayi, F. O. (2010). Nigerian indigenous chicken: A valuable genetic resource for meat and egg production. Asian Journal of Poultry Science, 4, 164–172. https://doi.org/10.3923/ajpsaj.2010.164.172

Chen, Y.-H., Wu, K.-H., & Wu, H.-P. (2024). Unraveling the complexities of toll-like receptors: From molecular mechanisms to clinical applications. International Journal of Molecular Sciences, 25(9), 5037. https://doi.org/10.3390/ijms25095037

Chuwatthanakhajorn, S., Chang, C.-S., Ganapathy, K., Tang, P.-C., & Chen, C.-F. (2023). Comparison of immune-related gene expression in two chicken breeds following infectious bronchitis virus vaccination. Animals, 13(10), 1642. https://doi.org/10.3390/ani13101642

Clemente-Suárez, V. J., Redondo-Flórez, L., Bustamante-Sánchez, A., Martín-Rodríguez, A., Yáñez-Sepúlveda, R., & Tornero-Aguilera, J. F. (2025). Biometric strategies to improve vaccine immunogenicity and effectiveness. Biomimetics, 10(7), 439. https://doi.org/10.3390/biomimetics10070439

Dharmayanti, N. I., Nurjanah, D., Nuradji, H., Suyatno, T., & Indriani, R. (2023). Newcastle disease virus: The past and current situation in Indonesia. Journal of Veterinary Science, 25(1), e3. https://doi.org/10.4142/jvs.23022

Efienokwu, J. N., & Ekerette, E. E. (2024). Comparative antibody responses of four turkey strains to attenuated Salmonella vaccine: A path to enhanced poultry production. American Journal of Food Science and Technology, 3(2), 83–87. https://doi.org/10.54536/ajfst.v3i2.3754

Ekerette, E. E., Etukudo, O. M., Uno, U.-U. U., Agbor, R. B., Ekpo, P. B., Efienokwu, J. N., Usang, J. R., Edem, U. L., & Ikpeme, E. V. (2025c). Spatial structure of tilapia phylogenetic diversity across five rivers in the Niger Delta states of Nigeria. Scientific African, 28, e02705. https://doi.org/10.1016/j.sciaf.2025.e02705

Ekerette, E. E., Ushie, B. B., Uno, U. U.-U., Etukudo, O. M., Efienokwu, J. N., Luu, A. H., Nwachukwu, B. U., Michael, E. E.-O., Edem, U. L., & Ikpeme, E. V. (2025b). Assessing the genotype effects on performance and meat quality traits of Nigerian indigenous chicken varieties and a commercial breed for sustainable poultry production. Tropical Animal Health and Production, 57(8), 422. https://doi.org/10.1007/s11250-025-04687-y

Ekerette, E., Tanglertpaibul, N., Budi, T., Auekingpetch, W., Nguyen, C. P. T., Singchat, W., Wongloet, W., Kumnan, N., Chalermwong, P., Luu, A. H., Panthum, T., Chaiyes, A., Vangnai, K., Yokthongwattana, C., Sinthuvanich, C., Muangmai, N., Duengkae, P., & Srikulnath, K. (2025a). Phuphan chicken breeds: Classification as varieties or distinct breeds with three derivative groups using microsatellite genotyping. Animal Bioscience, 38(10), 2055–2066. https://doi.org/10.5713/ab.24.0579

Fu, M., Wu, Y., Shen, J., Pan, A., Zhang, H., Sun, J., Liang, Z., Huang, T., Du, J., & Pi, J. (2023). Genome-wide association study of egg production traits in Shuanglian chickens using whole genome sequencing. Genes, 14(12), 2129. https://doi.org/10.3390/genes14122129

Hoelzer, G. A., Drewes, R., Meier, J., & Doursat, R. (2008). Isolation-by-distance and outbreeding depression are sufficient to drive parapatric speciation in the absence of environmental influences. PLoS Computational Biology, 4(7), e1000126. https://doi.org/10.1371/journal.pcbi.1000126

Hu, Z., He, X., Deng, J., Hu, J., & Liu, X. (2022). Current situation and future direction of Newcastle disease vaccines. Veterinary Research, 53(1), 99. https://doi.org/10.1186/s13567-022-01118-w

Kim, H. J., Kim, H., Lee, J. H., & Hwangbo, C. (2023). Toll-like receptor 4 (TLR4): New insight immune and aging. Immunity & Ageing, 20(1), 67. https://doi.org/10.1186/s12979-023-00383-3

Kpomasse, C. C., Kouame, Y. A. E., N’nanle, O., Houndonougbo, F. M., Tona, K., & Oke, O. E. (2023). The productivity and resilience of the indigenous chickens in the tropical environments: Improvement and future perspectives. Journal of Applied Animal Research, 51(1), 456–469. https://doi.org/10.1080/09712119.2023.2228374

Linnik, J. E., & Egli, A. (2016). Impact of host genetic polymorphisms on vaccine induced antibody response. Human Vaccines & Immunotherapeutics, 12(4), 907–915. https://doi.org/10.1080/21645515.2015.1119345

Lu, Y., Li, M., Gao, Z., Ma, H., Chong, Y., Hong, J., Wu, J., Wu, D., Xi, D., & Deng, W. (2025). Advances in whole genome sequencing: Methods, tools, and applications in population genomics. International Journal of Molecular Sciences, 26(1), 372. https://doi.org/10.3390/ijms26010372

Nazari, S., & Pourkazemi, M. (2023). Current status and recent advancements in DNA molecular markers in population genetics of Caspian Sea sturgeons: A review. Regional Studies in Marine Science, 64, 103034. https://doi.org/10.1016/j.rsma.2023.103034

Noreen, M., Shah, M. A., Mall, S. M., Choudhary, S., Hussain, T., Ahmed, I., Jalil, S. F., & Raza, M. I. (2012). TLR4 polymorphisms and disease susceptibility. Inflammation Research, 61(3), 177–188. https://doi.org/10.1007/s00011-011-0427-1

Ogbu, C. C. (2021). Utilization and conservation of landrace chickens of Nigeria: Physical and performance characteristics, issues and concerns. In A. Elkelish (Ed.), Landraces - Traditional Variety and Natural Breed. IntechOpen. https://doi.org/10.5772/intechopen.96580

Olejnik, J., Hume, A. J., & Mühlberger, E. (2018). Toll-like receptor 4 in acute viral infection: Too much of a good thing. PLoS Pathogens, 14(12), e1007390. https://doi.org/10.1371/journal.ppat.1007390

Rozas, J., Ferrer-Mata, A., Sánchez-DelBarrio, J. C., Guirao-Rico, S., Librado, P., Ramos-Onsins, S. E., & Sánchez-Gracia, A. (2017). DnaSP 6: DNA sequence polymorphism analysis of large data sets. Molecular Biology and Evolution, 34(12), 3299–3302. https://doi.org/10.1093/molbev/msx248

Seo, J. H., Lee, J. H., & Kong, H. S. (2017). Assessment of genetic diversity and phylogenetic relationships of Korean native chicken breeds using microsatellite markers. Asian-Australasian Journal of Animal Sciences, 30(10), 1365–1371. https://doi.org/10.5713/ajas.16.0514

Soglia, D., Sartore, S., Maione, S., Schiavone, A., Dabbou, S., Nery, J., Zaniboni, L., Marelli, S., Sacchi, P., & Rasero, R. (2020). Growth performance analysis of two Italian slow-growing chicken breeds: Bianca di Saluzzo and Bionda Piemontese. Animals, 10(6), 969. https://doi.org/10.3390/ani10060969

Tamura, K., Stecher, G., Peterson, D., Filipski, A., & Kumar, S. (2013). MEGA6: Molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution, 30(12), 2725–2729. https://doi.org/10.1093/molbev/mst197

Ushie, B. B., Ekerette, E. E., Akomaye, F. A., Ushie, J. B., & Ikpeme, E. V. (2025). Comparative immune response of four chicken genotypes to Newcastle vaccine and TLR4 gene polymorphisms. Scientific African, 27, e02514. https://doi.org/10.1016/j.sciaf.2024.e02514

Vargas, P. A. T., León, J. M., Fiallos Ortega, L. R., Martinez, A., Villafuerte Gavilanes, A. A., Delgado, J. V., & Landi, V. (2019). Deciphering the patterns of genetic admixture and diversity in the Ecuadorian Creole chicken. Animals, 9(9), 670. https://doi.org/10.3390/ani9090670

Wicherska-Pawłowska, K., Wróbel, T., & Rybka, J. (2021). Toll-like receptors (TLRs), NOD-like receptors (NLRs), and RIG-I-like receptors (RLRs) in innate immunity: TLRs, NLRs, and RLRs ligands as immunotherapeutic agents for hematopoietic diseases. International Journal of Molecular Sciences, 22(24), 13397. https://doi.org/10.3390/ijms222413397

Wilkinson, S., Wiener, P., Teverson, D. S., Haley, C. S., & Hocking, P. M. (2012). Characterization of the genetic diversity, structure and admixture of British chicken breeds. Animal Genetics, 43(5), 552–563. https://doi.org/10.1111/j.1365-2052.2011.02296.x

Wu, B., Cui, H., Peng, X., Fang, J., Zuo, Z., Deng, J., & Huang, J. (2014). Analysis of the Toll-Like Receptor 2-2 (TLR2-2) and TLR4 mRNA Expression in the Intestinal Mucosal Immunity of Broilers Fed on Diets Supplemented with Nickel Chloride. International Journal of Environmental Research and Public Health, 11(1), 657-670. https://doi.org/10.3390/ijerph110100657

Xie, X. F., Wang, Z. Y., Zhong, Z. Q., Pan, D. Y., Hou, G. Y., & Xiao, Q. (2024). Genome-wide scans for selection signatures in indigenous chickens reveal candidate genes associated with local adaptation. Animal, 18(5), 101151. https://doi.org/10.1016/j.animal.2024.101151

Zereen, F., Rahman, M. A., Hossain, M. G., Alam, J., Shimada, M., Rahman, M. T., & Saha, S. (2025). First report of the emergence of novel sub-genotype XIII.2.3 of Newcastle disease virus in chickens from selected regions of Bangladesh. Infection, Genetics and Evolution, 130, 105742. https://doi.org/10.1016/j.meegid.2025.105742

Downloads

Published

2025-11-14

How to Cite

Ekaluo, U. B., Ekerette, E. E., Ushie, B. B., John, G. E., & Ikpeme, E. V. (2025). Variation in Toll-Like Receptor 4 (TLR4) Gene in Chicken Genotypes and Its Association with Resistance to Attenuated Newcastle Virus. American Journal of Food Science and Technology, 4(2), 57-64. https://doi.org/10.54536/ajfst.v4i2.6049

Similar Articles

1-10 of 25

You may also start an advanced similarity search for this article.