Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers
We applied chemical group-based metabolomics to identify blood metabolic signatures associated with residual feed intake in beef cattle. A group of 56 crossbred growing beef steers (average BW = 261.3 ± 18.5 kg) were adapted to a high-forage total mixed ration in a confinement dry lot equipped with...
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Frontiers Media S.A.
2022-01-01
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| Series: | Frontiers in Animal Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fanim.2021.783314/full |
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| author | Godstime Taiwo Modoluwamu Idowu Shelby Collins Taylor Sidney Matthew Wilson Andres Pech-Cervantes Ibukun M. Ogunade |
| author_facet | Godstime Taiwo Modoluwamu Idowu Shelby Collins Taylor Sidney Matthew Wilson Andres Pech-Cervantes Ibukun M. Ogunade |
| author_sort | Godstime Taiwo |
| collection | DOAJ |
| description | We applied chemical group-based metabolomics to identify blood metabolic signatures associated with residual feed intake in beef cattle. A group of 56 crossbred growing beef steers (average BW = 261.3 ± 18.5 kg) were adapted to a high-forage total mixed ration in a confinement dry lot equipped with GrowSafe intake nodes for period of 49 d to determine their residual feed intake classification (RFI). After RFI determination, weekly blood samples were collected three times from beef steers with the lowest RFI [most efficient (HFE); n = 8] and highest RFI and least-efficient [least efficient (LFE); n = 8]. Plasma was prepared by centrifugation and composited for each steer. Metabolome analysis was conducted using a chemical isotope labeling (CIL)/liquid chromatography–mass spectrometry, which permitted the analysis of metabolites containing amine/phenol-, carboxylic acid-, and carbonyl-chemical groups, which are metabolites associated with metabolisms of amino acids, fatty acids, and carbohydrates, respectively. A total number of 495 amine/phenol-containing metabolites were detected and identified; pathway analysis of all these metabolites showed that arginine biosynthesis and histidine metabolism were enriched (P < 0.10) in HFE, relative to LFE steers. Biomarker analyses of the amine/phenol-metabolites identified methionine, 5-aminopentanoic acid, 2-aminohexanedioic acid, and 4-chlorolysine as candidate biomarkers of RFI [false discovery rate ≤ 0.05; Area Under the Curve (AUC) > 0.90]. A total of 118 and 330 metabolites containing carbonyl- and carboxylic acid-chemical groups, respectively were detected and identified; no metabolic pathways associated with these metabolites were altered and only one candidate biomarker (methionine sulfoxide) was identified. These results identified five candidate metabolite biomarkers of RFI in beef cattle which are mostly associated with amino acid metabolism. Further validation using a larger cohort of beef cattle of different genetic pedigree is required to confirm these findings. |
| first_indexed | 2024-12-24T01:14:03Z |
| format | Article |
| id | doaj.art-a606572828dc4f2ca9b1118b9abdff87 |
| institution | Directory Open Access Journal |
| issn | 2673-6225 |
| language | English |
| last_indexed | 2024-12-24T01:14:03Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Animal Science |
| spelling | doaj.art-a606572828dc4f2ca9b1118b9abdff872022-12-21T17:22:48ZengFrontiers Media S.A.Frontiers in Animal Science2673-62252022-01-01210.3389/fanim.2021.783314783314Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef SteersGodstime Taiwo0Modoluwamu Idowu1Shelby Collins2Taylor Sidney3Matthew Wilson4Andres Pech-Cervantes5Ibukun M. Ogunade6Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesAgricultural Research Station, Fort Valley State University, Fort Valley, GA, United StatesDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, United StatesWe applied chemical group-based metabolomics to identify blood metabolic signatures associated with residual feed intake in beef cattle. A group of 56 crossbred growing beef steers (average BW = 261.3 ± 18.5 kg) were adapted to a high-forage total mixed ration in a confinement dry lot equipped with GrowSafe intake nodes for period of 49 d to determine their residual feed intake classification (RFI). After RFI determination, weekly blood samples were collected three times from beef steers with the lowest RFI [most efficient (HFE); n = 8] and highest RFI and least-efficient [least efficient (LFE); n = 8]. Plasma was prepared by centrifugation and composited for each steer. Metabolome analysis was conducted using a chemical isotope labeling (CIL)/liquid chromatography–mass spectrometry, which permitted the analysis of metabolites containing amine/phenol-, carboxylic acid-, and carbonyl-chemical groups, which are metabolites associated with metabolisms of amino acids, fatty acids, and carbohydrates, respectively. A total number of 495 amine/phenol-containing metabolites were detected and identified; pathway analysis of all these metabolites showed that arginine biosynthesis and histidine metabolism were enriched (P < 0.10) in HFE, relative to LFE steers. Biomarker analyses of the amine/phenol-metabolites identified methionine, 5-aminopentanoic acid, 2-aminohexanedioic acid, and 4-chlorolysine as candidate biomarkers of RFI [false discovery rate ≤ 0.05; Area Under the Curve (AUC) > 0.90]. A total of 118 and 330 metabolites containing carbonyl- and carboxylic acid-chemical groups, respectively were detected and identified; no metabolic pathways associated with these metabolites were altered and only one candidate biomarker (methionine sulfoxide) was identified. These results identified five candidate metabolite biomarkers of RFI in beef cattle which are mostly associated with amino acid metabolism. Further validation using a larger cohort of beef cattle of different genetic pedigree is required to confirm these findings.https://www.frontiersin.org/articles/10.3389/fanim.2021.783314/fullmetabolomeamino acidmetabolismmethioninelysine degradation |
| spellingShingle | Godstime Taiwo Modoluwamu Idowu Shelby Collins Taylor Sidney Matthew Wilson Andres Pech-Cervantes Ibukun M. Ogunade Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers Frontiers in Animal Science metabolome amino acid metabolism methionine lysine degradation |
| title | Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers |
| title_full | Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers |
| title_fullStr | Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers |
| title_full_unstemmed | Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers |
| title_short | Chemical Group-Based Metabolome Analysis Identifies Candidate Plasma Biomarkers Associated With Residual Feed Intake in Beef Steers |
| title_sort | chemical group based metabolome analysis identifies candidate plasma biomarkers associated with residual feed intake in beef steers |
| topic | metabolome amino acid metabolism methionine lysine degradation |
| url | https://www.frontiersin.org/articles/10.3389/fanim.2021.783314/full |
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