TY - JOUR
T1 - Goat mammary gland metabolism
T2 - An integrated Omics analysis to unravel seasonal weight loss tolerance
AU - Ribeiro, David Miguel
AU - Palma, Mariana
AU - Salvado, José
AU - Hernández-Castellano, Lorenzo E.
AU - Capote, Juan
AU - Castro, Noemí
AU - Argüello, Anastasio
AU - Matzapetakis, Manolis
AU - Araújo, Susana S.
AU - de Almeida, André Martinho
N1 - Funding Information:
Authors DMR and AMA acknowledge funding through FCT – Fundação para a Ciência e a Tecnologia, I.P ., under the project UIDB/04129/2020 of LEAF-Linking Landscape, Environment, Agriculture and Food, Research Unit, Associate Laboratory TERRA (LA/P/0092/2020), and Research Project Lactation and milk production in Goat (Capra hircus): identifying molecular markers underlying adaptation to seasonal weight loss (PTDC/CVT/116499/2010) and a PhD scholarship to DMR (ref. SFRH/BD/143992/2019 ). Author L.E. Hernández-Castellano acknowledges financial support from the Agencia Estatal de Investigación (Spain; RYC2019-027064-I/MCIN/AEI/10.13039/501100011033 ) and the ESF , Investing in Your Future. Author SSA acknowledges funding from FCT throughout the Centre BIO R&D Unit ( UIDB/05083/2020 ) and NORTE 2020 throughout project NORTE-06-3559-FSE-000103 funded by the Fundo Social Europeu (FSE) . Graphical abstract was made using BioRender.com .
Funding Information:
Authors DMR and AMA acknowledge funding through FCT – Fundação para a Ciência e a Tecnologia, I.P. under the project UIDB/04129/2020 of LEAF-Linking Landscape, Environment, Agriculture and Food, Research Unit, Associate Laboratory TERRA (LA/P/0092/2020), and Research Project Lactation and milk production in Goat (Capra hircus): identifying molecular markers underlying adaptation to seasonal weight loss (PTDC/CVT/116499/2010) and a PhD scholarship to DMR (ref. SFRH/BD/143992/2019). Author L.E. Hernández-Castellano acknowledges financial support from the Agencia Estatal de Investigación (Spain; RYC2019-027064-I/MCIN/AEI/10.13039/501100011033) and the ESF, Investing in Your Future. Author SSA acknowledges funding from FCT throughout the Centre BIO R&D Unit (UIDB/05083/2020) and NORTE 2020 throughout project NORTE-06-3559-FSE-000103 funded by the Fundo Social Europeu (FSE). Graphical abstract was made using BioRender.com.
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/10/30
Y1 - 2023/10/30
N2 - Seasonal weight loss (SWL), is a major limitation to animal production. In the Canary Islands, there are two dairy goat breeds with different levels of tolerance to SWL: Majorera (tolerant) and Palmera (susceptible). Our team has studied the response of these breeds to SWL using different Omics tools. The objective of this study was to integrate such results in a data driven approach and using dedicated tools, namely the DIABLO method. The outputs of our analysis mainly separate unrestricted from restricted goats. Metabolites behave as “hub” molecules, grouping interactions with several genes and proteins. Unrestricted goats upregulated protein synthesis, along with arginine catabolism and adipogenesis pathways, which are related with higher anabolic rates and a larger proportion of secretory tissue, in agreement with their higher milk production. Contrarily, restricted goats seemingly increased the synthesis of acetyl-CoA through serine and acetate conversion into pyruvate. This may have occurred to increase fatty acid synthesis and/or to use them as an energy source in detriment to glucose, which was more available in the diet of unrestricted goats. Lastly, restricted Palmera upregulated the expression of PEBP4 and GPD1 genes compared to all other groups, which might support their use as putative biomarkers for SWL susceptibility. Significance: Seasonal weight loss (SWL) is a major issue influencing animal production in the tropics and Mediterranean. By studying its impact on the mammary gland of tolerant and susceptible dairy goat breeds, using Omics, we aim at surveying the tissue for possible biomarkers that reflect these traits. In this study, data integration of three Omics (transcriptomics, proteomics and metabolomics) was performed using bioinformatic tools, to relate putative biomarkers and evaluate all three levels of information; in a novel approach. This information can enhance selection programs, lowering the impact of SWL on food production systems.
AB - Seasonal weight loss (SWL), is a major limitation to animal production. In the Canary Islands, there are two dairy goat breeds with different levels of tolerance to SWL: Majorera (tolerant) and Palmera (susceptible). Our team has studied the response of these breeds to SWL using different Omics tools. The objective of this study was to integrate such results in a data driven approach and using dedicated tools, namely the DIABLO method. The outputs of our analysis mainly separate unrestricted from restricted goats. Metabolites behave as “hub” molecules, grouping interactions with several genes and proteins. Unrestricted goats upregulated protein synthesis, along with arginine catabolism and adipogenesis pathways, which are related with higher anabolic rates and a larger proportion of secretory tissue, in agreement with their higher milk production. Contrarily, restricted goats seemingly increased the synthesis of acetyl-CoA through serine and acetate conversion into pyruvate. This may have occurred to increase fatty acid synthesis and/or to use them as an energy source in detriment to glucose, which was more available in the diet of unrestricted goats. Lastly, restricted Palmera upregulated the expression of PEBP4 and GPD1 genes compared to all other groups, which might support their use as putative biomarkers for SWL susceptibility. Significance: Seasonal weight loss (SWL) is a major issue influencing animal production in the tropics and Mediterranean. By studying its impact on the mammary gland of tolerant and susceptible dairy goat breeds, using Omics, we aim at surveying the tissue for possible biomarkers that reflect these traits. In this study, data integration of three Omics (transcriptomics, proteomics and metabolomics) was performed using bioinformatic tools, to relate putative biomarkers and evaluate all three levels of information; in a novel approach. This information can enhance selection programs, lowering the impact of SWL on food production systems.
KW - Goats
KW - Mammary gland
KW - Omics integration
KW - Seasonal weight loss
UR - http://www.scopus.com/inward/record.url?scp=85173911176&partnerID=8YFLogxK
U2 - 10.1016/j.jprot.2023.105009
DO - 10.1016/j.jprot.2023.105009
M3 - Article
C2 - 37757955
AN - SCOPUS:85173911176
SN - 1874-3919
VL - 289
JO - Journal of Proteomics
JF - Journal of Proteomics
M1 - 105009
ER -
