Modelling effects of phytobiotic administration on coherent responses to Salmonella infection in laying hens
Abstrak
Practice of layer poultry farming and commercial egg production relies on the optimal use and improvement of the welfare and genetically determined functional abilities of laying hens, their efficient intake of feed and its components, adaptation to housing conditions and resistance to infectious diseases including salmonellosis. Previous studies were focussed on relationships of chicken performance and resistance with the expression profiles of individual genes involved in metabolic processes and immune system, or with genetic markers that can be closely associated with these processes in chickens. In this study, mathematical models of coherent changes in laying hens were developed for the expression of eight genes involved in immunity and metabolism, on the one hand, and biochemical and immunological blood parameters, on the other hand, in response to Salmonella infection and administration of a phytobiotic Intebio. The proposed modelling approach can be a further basis for an in-depth research of the relationship between the gene expression, functional state and welfare of poultry, impact of pathogenic microorganisms and use of immunomodulatory drugs.HIGHLIGHTS Improved egg production and resistance rely on hens’ potential in gene expression and metabolism. We developed mathematical models for coherent responses of hens’ gene expression and blood indices to Salmonella infection and phytobiotic intake. This approach can be used for further studying relationship between gene expression, functional state, impact of pathogens and antimicrobial drugs.
Topik & Kata Kunci
Penulis (16)
Valeriy G. Narushin
Georgi Yu. Laptev
Elena A. Yildirim
Larisa A. Ilina
Valentina A. Filippova
Ivan I. Kochish
Elena P. Gorfunkel
Andrei V. Dubrovin
Natalia I. Novikova
Oksana B. Novikova
Timur P. Dunyashev
Vladimir I. Smolensky
Peter F. Surai
Yuri V. Bondarenko
Darren K. Griffin
Michael N. Romanov
Akses Cepat
- Tahun Terbit
- 2020
- Sumber Database
- DOAJ
- DOI
- 10.1080/1828051X.2020.1733445
- Akses
- Open Access ✓