Narushin, Valery G., Laptev, Georgi Yu., Yildirim, Elena A., Ilina, Larisa A., Filippova, Valentina A., Kochish, Ivan I., Gorfunkel, Elena P., Dubrovin, Andrei V., Novikova, Natalia I., Dunyashev, Timur P., and others. (2020) Modelling effects of phytobiotic administration on coherent responses to Salmonella infection in laying hens. Italian Journal of Animal Science, 19 (1). pp. 282-287. ISSN 1594-4077. E-ISSN 1828-051X. (doi:10.1080/1828051X.2020.1733445) (KAR id:80364)
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Official URL: https://doi.org/10.1080/1828051X.2020.1733445 |
Abstract
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.
Item Type: | Article |
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DOI/Identification number: | 10.1080/1828051X.2020.1733445 |
Projects: | Development of State-of-the-Art Biotechnologies to Assess Gene Expression in Relation to Performance and Disease Resistance in Poultry Industry |
Uncontrolled keywords: | Coherent changes, laying hens, modelling, Salmonella, phytobiotic |
Subjects: |
Q Science > QH Natural history > QH324.2 Computational biology Q Science > QH Natural history > QH426 Genetics Q Science > QR Microbiology > QR180 Immunology S Agriculture > SF Animal culture |
Divisions: | Divisions > Division of Natural Sciences > Biosciences |
Signature Themes: | Food Systems, Natural Resources and Environment |
Depositing User: | Mike Romanov |
Date Deposited: | 05 Mar 2020 17:38 UTC |
Last Modified: | 08 Sep 2023 13:46 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/80364 (The current URI for this page, for reference purposes) |
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