Proteomics and the search for welfare and stress biomarkers in animal production in the one-health context

Stress and welfare are important factors in animal production in the context of growing production optimization and scrutiny by the general public. In a context in which animal and human health are intertwined aspects of the one-health concept it is of utmost importance to define the markers of stress and welfare. These are important tools for producers, retailers, regulatory agents and ultimately consumers to effectively monitor and assess the welfare state of production animals. Proteomics is the science that studies the proteins existing in a given tissue or fluid. In this review we address this topic by showing clear examples where proteomics has been used to study stress-induced changes at various levels. We adopt a multi-species (cattle, swine, small ruminants, poultry, fish and shellfish) approach under the effect of various stress inducers (handling, transport, management, nutritional, thermal and exposure to pollutants) clearly demonstrating how proteomics and systems biology are key elements to the study of stress and welfare in farm animals and powerful tools for animal welfare, health and productivity

Skeletal muscle metabolomics and blood biochemistry analysis reveal metabolic changes associated with dietary amino acid supplementation in dairy calves

The effects of different amino acid (AA) supplementations of milk protein-based milk replacers in pre-ruminant calves from 3 days to 7 weeks of age were studied. Animals were divided into 4 groups: Ctrl) Control group fed with milk protein-based milk replacer without supplementation; GP) supplementation with 0.1% glycine and 0.3% proline; FY) supplementation with 0.2% phenylalanine and 0.2% tyrosine; MKT) supplementation with 0.62% lysine, 0.22% methionine and 0.61% threonine. For statistical analysis, t-test was used to compare AA-supplemented animals to the Ctrl group. At week 7, body weight and average daily gain (ADG) were measured and blood samples and skeletal muscle biopsies were taken. Blood biochemistry analytes related to energy metabolism were determined and it was shown that MKT group had higher serum creatinine and higher plasma concentration of three supplemented AAs as well as arginine compared with the Ctrl group. GP group had similar glycine/proline plasma concentration compared with the other groups while in FY group only plasma phenylalanine concentration was higher compared with Control. Although the AA supplementations in the GP and FY groups did not affect average daily gain and metabolic health profile from serum, the metabolome analysis from skeletal muscle biopsy revealed several differences between the GP-FY groups and the Ctrl-MKT groups, suggesting a metabolic adaptation especially in GP and FY groupsinfo:eu-repo/semantics/publishedVersio

Raw Data of manuscript Characterization of the myofibrillar proteome as a way to better understand differences in bovine meats having different ultimate pH values

The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL.A) Mass Spectrometry-RAW data 01. Band_A.xml (5,598 KB) 02. Band_A.mgf (330 KB) 03. Band_B.xml (16,784 KB) 04. Band_B.mgf (1,004 KB) 05. Band_C.xml (12,719 KB) 06. Band_C.mgf (760 KB) 07. Band_D.xml (22,514 KB) 08. Band_D.mgf (1,347 KB) NOTE: Files with .mgf are adequate for interrogate in MS/MS Mascot Search Engine (www.matrixscience.com) B) Electrophoresis images - Normal meat (OFFGEL) 09. Duplicate_1-1.tif (350 KB) 10. Duplicate_1-2.tif (347 KB) 11. Duplicate_2-1.tif (327 KB) 12. Duplicate_2-2.tif (308 KB) 13. Duplicate_3-1.tif (426 KB) 14. Duplicate_3-2.tif (343 KB) 15. Duplicate_4-1.tif (359 KB) 16. Duplicate_4-2.tif (342 KB) 17. Duplicate_5-1.tif (425 KB) 18. Duplicate_5-2.tif (384 KB) 19. Duplicate_6-1.tif (435 KB) 20. Duplicate_6-2.tif (392 KB) B) Electrophoresis images - DFD meat (OFFGEL) 21. Duplicate_7-1.tif (343 KB) 22. Duplicate_7-2.tif (402 KB) 23. Duplicate_8-1.tif (356 KB) 24. Duplicate_8-2.tif (320 KB) 25. Duplicate_9-1.tif (383 KB) 26. Duplicate_9-2.tif (353 KB) 27. Duplicate_10-1.tif (417 KB) 28. Duplicate_10-2.tif (346 KB) 29. Duplicate_11-1.tif (336 KB) 30. Duplicate_11-2.tif (408 KB) 31. Duplicate_12-1.tif (373 KB) 32. Duplicate_12-2.tif (367 KB)S