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Sadri H, Ghaffari MH, Sauerwein H. Invited review: Muscle protein breakdown and its assessment in periparturient dairy cows. J Dairy Sci 2023; 106:822-842. [PMID: 36460512 DOI: 10.3168/jds.2022-22068] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022]
Abstract
Mobilization of body reserves including fat, protein, and glycogen is necessary to overcome phases of negative nutrient balance typical for high-yielding dairy cows during the periparturient period. Skeletal muscle, the largest internal organ in mammals, plays a crucial role in maintaining metabolic homeostasis. However, unlike in liver and adipose tissue, the metabolic and regulatory role of skeletal muscle in the adaptation of dairy cows to the physiological needs of pregnancy and lactation has not been studied extensively. The functional integrity and quality of skeletal muscle are maintained through a constant turnover of protein, resulting from both protein breakdown and protein synthesis. Thus, muscle protein breakdown (MPB) and synthesis are intimately connected and tightly controlled to ensure proper protein homeostasis. Understanding the regulation of MPB, the catabolic component of muscle turnover, and its assessment are therefore important considerations to provide information about the timing and extent of tissue mobilization in periparturient dairy cows. Based on animal models and human studies, it is now evident that MPB occurs via the integration of 3 main systems: autophagy-lysosomal, calpain Ca2+-dependent cysteine proteases, and the ubiquitin-proteasome system. These 3 main systems are interconnected and do not work separately, and the regulation is complex. The ubiquitin-proteasomal system is the most well-known cellular proteolytic system and plays a fundamental role in muscle physiology. Complete degradation of a protein often requires a combination of the systems, depending on the physiological situation. Determination of MPB in dairy cows is technically challenging, resulting in a relative dearth of information. The methods for assessing MPB can be divided into either direct or indirect measurements, both having their strengths and limitations. Available information on the direct measures of MPB primarily comes from stable isotopic tracer methods and those of indirect measurements from assessing expression and activity measures of the components of the 3 MPB systems in muscle biopsy samples. Other indirect approaches (i.e., potential indicators of MPB), including ultrasound imaging and measuring metabolites from muscle degradation (i.e., 3-methylhistidine and creatinine), seem to be applicable methods and can provide useful information about the extent and timing of MPB. This review presents our current understanding, including methodological considerations, of the process of MPB in periparturient dairy cows.
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Affiliation(s)
- H Sadri
- Department of Clinical Science, Faculty of Veterinary Medicine, University of Tabriz, 5166616471 Tabriz, Iran; Institute of Animal Science, Physiology Unit, University of Bonn, 53111 Bonn, Germany.
| | - M H Ghaffari
- Institute of Animal Science, Physiology Unit, University of Bonn, 53111 Bonn, Germany
| | - H Sauerwein
- Institute of Animal Science, Physiology Unit, University of Bonn, 53111 Bonn, Germany
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Zhang J, Deng L, Zhang X, Cao Y, Li M, Yao J. Multiple Essential Amino Acids Regulate Mammary Metabolism and Milk Protein Synthesis in Lactating Dairy Cows. Anim Feed Sci Technol 2022. [DOI: 10.1016/j.anifeedsci.2022.115557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Huang X, Yoder PS, Teixeira IAMA, Hanigan MD. Assessing amino acid uptake and metabolism in mammary glands of lactating dairy cows intravenously infused with methionine, lysine, and histidine or with leucine and isoleucine. J Dairy Sci 2021; 104:3032-3051. [PMID: 33455768 DOI: 10.3168/jds.2020-18169] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 10/06/2020] [Indexed: 12/29/2022]
Abstract
The objective of this study was to evaluate the effect of jugular infusions of 2 groups of AA on essential AA (EAA) transport and metabolism by mammary glands. Four Holstein cows in second lactation (66 ± 10 d in milk) were used in 4 × 4 Latin square design with a 2 × 2 factorial arrangement of treatments. Treatments were jugular infusions of saline; Met, Lys, and His (MKH); Ile and Leu (IL); or MKH plus IL (MKH+IL). Each period consisted of 8 d of no infusion followed by 8 d of jugular vein infusion of the treatment solutions. Amino acids were infused at rates of 21 g of Met, 38 g of Lys, 20 g of His, 50 g of Leu, and 22 g of Ile per day. Cows were fed a basal diet consisting of 15.2% crude protein with adequate rumen degradable protein but 15% deficient in MP based on estimates by Cornell Net Carbohydrate and Protein System (v6.5). On the last day of each period, 13C-AA derived from algae was infused into the jugular vein over 6 h, and blood and milk samples were collected before, during, and after infusion. Plasma and milk samples were analyzed for AA isotopic enrichment, and a mammary compartmental model was fitted to the data to derive bidirectional transport and metabolism rates for individual EAA. Influx of Leu increased with IL, whereas influx of other EAA was not different among treatments. Cellular efflux of Met and Lys to venous plasma represented 12 to 34% of influx, whereas cellular efflux of Phe and BCAA represented 29 to 59% of influx. Increased efflux/influx ratios of Ile and Leu with IL but not Met and Lys with MKH demonstrated that increased Ile and Leu influx was mostly returned to plasma resulting in no change in net uptake or efficiency. The isotope results showed that mammary net uptake of Lys and Ile increased during MKH infusion. Net uptake of Met increased with MKH but only in the absence of IL. Catabolism of Lys and Met only increased with MKH alone, resulting in decreased efficiency for milk protein, which demonstrated that Ile and Leu infusion can spare Lys and Met for milk protein synthesis. Total AA uptake to milk output was not different from 1, implying the catabolized Met and Lys contributed nitrogen to nonessential AA. Overall, EAA uptake and metabolism in mammary glands of dairy cows varied across individual EAA and responded differently to respective AA supplements. In addition, uptake, retention, and end use of AA by mammary tissue is variable and dependent on the mix of AA provided. This variability, depending on the mix of AA absorbed, will change the efficiency of utilization of individual AA at the mammary gland level and consequently the whole-body level. Thus, it is inaccurate to use a fixed, constant efficiency within and across AA to represent tissue activity.
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Affiliation(s)
- X Huang
- Department of Dairy Science, Virginia Tech, Blacksburg 24060
| | - P S Yoder
- Department of Dairy Science, Virginia Tech, Blacksburg 24060; Perdue AgriBusiness LLC, Salisbury, MD 21804
| | - I A M A Teixeira
- Universidade Estadual Paulista, Jaboticabal, SP 14884-900, Brazil
| | - M D Hanigan
- Department of Dairy Science, Virginia Tech, Blacksburg 24060.
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Hanigan MD, Daley VL. Use of Mechanistic Nutrition Models to Identify Sustainable Food Animal Production. Annu Rev Anim Biosci 2020; 8:355-376. [PMID: 31730368 DOI: 10.1146/annurev-animal-021419-083913] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
To feed people in the coming decades, an increase in sustainable animal food production is required. The efficiency of the global food production system is dependent on the knowledge and improvement of its submodels, such as food animal production. Scientists use statistical models to interpret their data, but models are also used to understand systems and to integrate their components. However, empirical models cannot explain systems. Mechanistic models yield insight into the mechanism and provide guidance regarding the exploration of the system. This review offers an overview of models, from simple empirical to more mechanistic models. We demonstrate their applications to amino acid transport, mass balance, whole-tissue metabolism, digestion and absorption, growth curves, lactation, and nutrient excretion. These mechanistic models need to be integrated into a full model using big data from sensors, which represents a new challenge. Soon, training in quantitative and computer science skills will be required to develop, test, and maintain advanced food system models.
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Affiliation(s)
- Mark D Hanigan
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA; ,
| | - Veridiana L Daley
- Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA; , .,National Animal Nutrition Program (NANP), Department of Animal & Food Sciences, University of Kentucky, Lexington, Kentucky 40546, USA
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Nichols K, Bannink A, Doelman J, Dijkstra J. Mammary gland metabolite utilization in response to exogenous glucose or long-chain fatty acids at low and high metabolizable protein levels. J Dairy Sci 2019; 102:7150-7167. [PMID: 31155242 DOI: 10.3168/jds.2019-16285] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 04/08/2019] [Indexed: 01/27/2023]
Abstract
We investigated mammary gland metabolism in lactating dairy cattle in response to energy from glucogenic (glucose; GG) or lipogenic (palm olein; LG) substrates at low (LMP) and high (HMP) metabolizable protein levels. According to a 6 × 6 Latin square design, 6 rumen-fistulated second-lactation Holstein-Friesian dairy cows (97 ± 13 d in milk) were abomasally infused with saline (LMP-C); isoenergetic infusions (digestible energy basis) of 1,319 g/d glucose (LMP-GG), 676 g/d palm olein (LMP-LG), or 844 g/d essential AA (EAA; HMP-C); or isoenergetic infusions of 1,319 g/d glucose + 844 g/d EAA (HMP-GG) or 676 g/d palm olein + 844 g/d EAA (HMP-LG). Each experimental period consisted of 5 d of continuous infusion followed by 2 d of rest. A total mixed ration (42% corn silage, 31% grass silage, and 27% concentrate on a dry matter basis) formulated to meet 100 and 83% of net energy and metabolizable protein requirements, respectively, was fed at 90% of ad libitum intake by individual cow. Arterial and venous blood samples were collected on d 5 of each period. Infusing GG or LG at the HMP level did not affect milk yield or composition differently than at the LMP level. Neither GG nor LG infusion stimulated milk protein or lactose yield, but fat yield tended to decrease with GG and tended to increase with LG. Infusion of GG increased arterial plasma concentrations of glucose and insulin and decreased concentrations of β-hydroxybutyrate (BHB), nonesterified fatty acids, long-chain fatty acids (LCFA), total AA, EAA, and group 2 AA. Infusion of LG increased arterial triacylglycerides (TAG) and LCFA but did not affect EAA concentrations. Compared with the LMP level, the HMP level increased arterial concentrations of BHB, urea, and all EAA groups and decreased the concentration of total non-EAA. Mammary plasma flow increased with GG and was not affected by LG or protein level. Uptake and clearance of total EAA and group 2 AA were affected or tended to be affected by GG × AA interactions, with their uptakes being lower and their clearances higher with GG, but only at the LMP level. Infusion of LG did not affect uptake or clearance of any AA group. The HMP level increased uptake and decreased clearance of all EAA groups and decreased non-EAA uptake. Infusion of GG tended to increase mammary glucose uptake, and tended to decrease BHB uptake only at the LMP level. Infusion of LG increased mammary uptake of TAG and LCFA and increased or tended to increase clearance of TAG and LCFA. We suspect GG increased mammary plasma flow to maintain intramammary energy and AA balance and stimulated lipogenesis in adipose, accounting for depressed arterial BHB and group 2 AA concentrations. Mammary glucose uptake did not cover estimated requirements for lactose and fat synthesis at the HMP level, except during HMP-GG infusion. Results of this study illustrate flexibility in mammary metabolite utilization when absorptive supply of glucogenic, lipogenic, and aminogenic substrate is increased.
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Affiliation(s)
- K Nichols
- Animal Nutrition Group, Wageningen University and Research, PO Box 338, 6700 AH Wageningen, the Netherlands; Wageningen Livestock Research, Wageningen University and Research, PO Box 338, 6700 AH Wageningen, the Netherlands.
| | - A Bannink
- Wageningen Livestock Research, Wageningen University and Research, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - J Doelman
- Trouw Nutrition R&D, PO Box 220, 5830 AE Boxmeer, the Netherlands
| | - J Dijkstra
- Animal Nutrition Group, Wageningen University and Research, PO Box 338, 6700 AH Wageningen, the Netherlands
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Hristov AN, Bannink A, Crompton LA, Huhtanen P, Kreuzer M, McGee M, Nozière P, Reynolds CK, Bayat AR, Yáñez-Ruiz DR, Dijkstra J, Kebreab E, Schwarm A, Shingfield KJ, Yu Z. Invited review: Nitrogen in ruminant nutrition: A review of measurement techniques. J Dairy Sci 2019; 102:5811-5852. [PMID: 31030912 DOI: 10.3168/jds.2018-15829] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 02/27/2019] [Indexed: 01/17/2023]
Abstract
Nitrogen is a component of essential nutrients critical for the productivity of ruminants. If excreted in excess, N is also an important environmental pollutant contributing to acid deposition, eutrophication, human respiratory problems, and climate change. The complex microbial metabolic activity in the rumen and the effect on subsequent processes in the intestines and body tissues make the study of N metabolism in ruminants challenging compared with nonruminants. Therefore, using accurate and precise measurement techniques is imperative for obtaining reliable experimental results on N utilization by ruminants and evaluating the environmental impacts of N emission mitigation techniques. Changeover design experiments are as suitable as continuous ones for studying protein metabolism in ruminant animals, except when changes in body weight or carryover effects due to treatment are expected. Adaptation following a dietary change should be allowed for at least 2 (preferably 3) wk, and extended adaptation periods may be required if body pools can temporarily supply the nutrients studied. Dietary protein degradability in the rumen and intestines are feed characteristics determining the primary AA available to the host animal. They can be estimated using in situ, in vitro, or in vivo techniques with each having inherent advantages and disadvantages. Accurate, precise, and inexpensive laboratory assays for feed protein availability are still needed. Techniques used for direct determination of rumen microbial protein synthesis are laborious and expensive, and data variability can be unacceptably large; indirect approaches have not shown the level of accuracy required for widespread adoption. Techniques for studying postruminal digestion and absorption of nitrogenous compounds, urea recycling, and mammary AA metabolism are also laborious, expensive (especially the methods that use isotopes), and results can be variable, especially the methods based on measurements of digesta or blood flow. Volatile loss of N from feces and particularly urine can be substantial during collection, processing, and analysis of excreta, compromising the accuracy of measurements of total-tract N digestion and body N balance. In studying ruminant N metabolism, nutritionists should consider the longer term fate of manure N as well. Various techniques used to determine the effects of animal nutrition on total N, ammonia- or nitrous oxide-emitting potentials, as well as plant fertilizer value, of manure are available. Overall, methods to study ruminant N metabolism have been developed over 150 yr of animal nutrition research, but many of them are laborious and impractical for application on a large number of animals. The increasing environmental concerns associated with livestock production systems necessitate more accurate and reliable methods to determine manure N emissions in the context of feed composition and ruminant N metabolism.
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Affiliation(s)
- A N Hristov
- Department of Animal Science, The Pennsylvania State University, University Park 16802.
| | - A Bannink
- Wageningen Livestock Research, Wageningen University & Research, PO Box 338, 6700 AH Wageningen, the Netherlands
| | - L A Crompton
- School of Agriculture, Policy and Development, Centre for Dairy Research, University of Reading, PO Box 237 Earley Gate, Reading RG6 6AR, United Kingdom
| | - P Huhtanen
- Department of Agricultural Science, Swedish University of Agricultural Sciences, S-90, Umeå, Sweden
| | - M Kreuzer
- ETH Zurich, Institute of Agricultural Sciences, Universitaetstrasse 2, 8092 Zurich, Switzerland
| | - M McGee
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co. Meath, Ireland C15 PW93
| | - P Nozière
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - C K Reynolds
- School of Agriculture, Policy and Development, Centre for Dairy Research, University of Reading, PO Box 237 Earley Gate, Reading RG6 6AR, United Kingdom
| | - A R Bayat
- Milk Production Solutions, Production Systems, Natural Resources Institute Finland (Luke), FI 31600 Jokioinen, Finland
| | - D R Yáñez-Ruiz
- Estación Experimental del Zaidín (CSIC), Profesor Albareda, 1, 18008, Granada, Spain
| | - J Dijkstra
- Animal Nutrition Group, Wageningen University & Research, PO Box 338, 6700 AH, Wageningen, the Netherlands
| | - E Kebreab
- Department of Animal Science, University of California, Davis 95616
| | - A Schwarm
- ETH Zurich, Institute of Agricultural Sciences, Universitaetstrasse 2, 8092 Zurich, Switzerland
| | - K J Shingfield
- Milk Production Solutions, Production Systems, Natural Resources Institute Finland (Luke), FI 31600 Jokioinen, Finland; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, SY23 3EB, United Kingdom
| | - Z Yu
- Department of Animal Sciences, The Ohio State University, Columbus 43210
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Crompton LA, McKnight LL, Reynolds CK, Mills JAN, Ellis JL, Hanigan MD, Dijkstra J, Bequette BJ, Bannink A, France J. An isotope dilution model for partitioning of phenylalanine and tyrosine uptake by the liver of lactating dairy cows. J Theor Biol 2018; 444:100-107. [PMID: 29277601 DOI: 10.1016/j.jtbi.2017.12.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 12/13/2017] [Accepted: 12/14/2017] [Indexed: 11/16/2022]
Abstract
An isotope dilution model to describe the partitioning of phenylalanine and tyrosine in the bovine liver was developed. The model comprises four intracellular and six extracellular pools and various flows connecting these pools and external blood. Conservation of mass principles were applied to generate the fundamental equations describing the behaviour of the system in the steady state. The model was applied to datasets from multi-catheterised dairy cattle during a constant infusion of [1-13C]phenylalanine and [2,3,5,6-2H]tyrosine tracers. Model solutions described the extraction of phenylalanine and tyrosine from the liver via the portal vein and hepatic artery. In addition, the exchange of free phenylalanine and tyrosine between extracellular and intracellular pools was explained and the hydroxylation of phenylalanine to tyrosine was estimated. The model was effective in providing information about the fates of phenylalanine and tyrosine in the liver and could be used as part of a more complex system describing amino acid metabolism in the whole animal.
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Affiliation(s)
- L A Crompton
- Sustainable Agriculture and Food Systems Research Division, School of Agriculture, Policy and Development, University of Reading, Whiteknights, Reading RG6 6AR, UK.
| | - L L McKnight
- Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Ontario N1G 2W1, Canada
| | - C K Reynolds
- Sustainable Agriculture and Food Systems Research Division, School of Agriculture, Policy and Development, University of Reading, Whiteknights, Reading RG6 6AR, UK
| | - J A N Mills
- Sustainable Agriculture and Food Systems Research Division, School of Agriculture, Policy and Development, University of Reading, Whiteknights, Reading RG6 6AR, UK
| | - J L Ellis
- Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Ontario N1G 2W1, Canada; Animal Nutrition Group, Wageningen University & Research, 6700 AH Wageningen, The Netherlands
| | - M D Hanigan
- Department of Dairy Science, Virginia Tech, 2080 Litton Reaves, Blacksburg, VA 24061, USA
| | - J Dijkstra
- Animal Nutrition Group, Wageningen University & Research, 6700 AH Wageningen, The Netherlands
| | - B J Bequette
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - A Bannink
- Animal Nutrition, Wageningen Livestock Research, Wageningen University and Research, 6700 AH Wageningen, The Netherlands
| | - J France
- Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Ontario N1G 2W1, Canada
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Marete A, Sahana G, Fritz S, Lefebvre R, Barbat A, Lund MS, Guldbrandtsen B, Boichard D. Genome-wide association study for milking speed in French Holstein cows. J Dairy Sci 2018; 101:6205-6219. [PMID: 29705414 DOI: 10.3168/jds.2017-14067] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 03/16/2018] [Indexed: 01/01/2023]
Abstract
Using a combination of data from the BovineSNP50 BeadChip SNP array (Illumina, San Diego, CA) and a EuroGenomics (Amsterdam, the Netherlands) custom single nucleotide polymorphism (SNP) chip with SNP pre-selected from whole genome sequence data, we carried out an association study of milking speed in 32,491 French Holstein dairy cows. Milking speed was measured by a score given by the farmer. Phenotypes were yield deviations as obtained from the French evaluation system. They were analyzed with a linear mixed model for association studies. We identified SNP on 22 chromosomes significantly associated with milking speed. As clinical mastitis and somatic cell score have an unfavorable genetic correlation with milking speed, we tested whether the most significant SNP on these 22 chromosomes associated with milking speed were also associated with clinical mastitis or somatic cell score. Nine hundred seventy-one genome-wide significant SNP were associated with milking speed. Of these, 86 were associated with clinical mastitis and 198 with somatic cell score. The most significant association signals for milking speed were observed on chromosomes 7, 8, 10, 14, and 18. The most significant signal was located on chromosome 14 (ZFAT gene). Eleven novel milking speed quantitative trait loci (QTL) were observed on chromosomes 7, 10, 11, 14, 18, 25, and 26. Twelve candidate SNP for milking speed mapped directly within genes. Of these, 10 were QTL lead SNP, which mapped within the genes HMHA1, POLR2E, GNB5, KLHL29, ZFAT, KCNB2, CEACAM18, CCL24, and LHPP. Limited pleiotropy was observed between milking speed QTL and clinical mastitis.
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Affiliation(s)
- Andrew Marete
- INRA, UMR 1313 GABI, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France; Aarhus University, Center for Quantitative Genetics and Genomics, 8830 Tjele, Denmark.
| | - Goutam Sahana
- Aarhus University, Center for Quantitative Genetics and Genomics, 8830 Tjele, Denmark
| | - Sébastien Fritz
- INRA, UMR 1313 GABI, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France; ALLICE, 75595 Paris, France
| | - Rachel Lefebvre
- INRA, UMR 1313 GABI, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Anne Barbat
- INRA, UMR 1313 GABI, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Mogens Sandø Lund
- Aarhus University, Center for Quantitative Genetics and Genomics, 8830 Tjele, Denmark
| | - Bernt Guldbrandtsen
- Aarhus University, Center for Quantitative Genetics and Genomics, 8830 Tjele, Denmark
| | - Didier Boichard
- INRA, UMR 1313 GABI, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
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Summaries of Communications of the 2016 Meeting of the Animal Science Modelling Group, Salt Lake Marriott Downtown, Salt Lake City, Utah, 19 July 2016. CANADIAN JOURNAL OF ANIMAL SCIENCE 2016. [DOI: 10.1139/cjas-2016-0149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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10
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Sun H, Wang B, Wang J, Liu H, Liu J. Biomarker and pathway analyses of urine metabolomics in dairy cows when corn stover replaces alfalfa hay. J Anim Sci Biotechnol 2016; 7:49. [PMID: 27583137 PMCID: PMC5006375 DOI: 10.1186/s40104-016-0107-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 08/10/2016] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Alfalfa hay and corn stover are different type of forages which can significantly impact a cow's lactation performance, but the underlying metabolic mechanism has been poorly studied. We used biomarker and pathway analyses to characterize related biomarkers and pathways based on urine metabolomics data from different forage treatments. Urine was collected from 16 multiparous Holstein dairy cows fed alfalfa hay (AH, high-quality forage, n = 8) and corn stover (CS, low-quality forage, n = 8) respectively. Gas chromatography-time of flight/mass spectrometry (GC-TOF/MS) was performed to identify metabolites in urine and the metaboanalyst online platform was used to do biomarker and pathway analysis. RESULTS Hippuric acid (HUA) and N-methyl-glutamic (NML-Glu) indicated the most significant difference between the two diets, when statistically validated by biomarker analysis. HUA was also validated by standard compound quantitative method and showed significant higher concentration in CS group than AH group (2.8282 vs. 0.0005 mg/mL; P < 0.01). The significant negative correlation between milk yield and HUA (R(2) = 0.459; P < 0.01) and significant positive correlation between milk yield and NML-Glu (R(2) = 0.652; P < 0.01) were characterized. The pathway analysis revealed that these different metabolites were involved in 17 pathways including 7 influential pathways (pathway impact value > 0): Tyr metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, galactose metabolism, Phe, Tyr and Try biosynthesis, purine metabolism, and glycerolipid metabolism. Based on the metabolome view map, the Phe, Tyr and Try biosynthesis pathway exhibited the highest impact value (0.50), and the Holm-Bonferroni multiple testing-based analysis revealed the most significant difference in the Tyr metabolism pathway (Holm P = 0.048). CONCLUSIONS The identified HUA and NML-Glu may serve as potential biomarkers for discriminating CS and AH diets and could be used as candidates for milk yield related mechanistic investigations. Integrated network pathways associated with related metabolites provide a helpful perspective for discovering the effectiveness of forage quality in lactation performance and provides novel insights into developing strategies for better utilization of CS and other low-quality forage in China.
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Affiliation(s)
- Huizeng Sun
- Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058 People's Republic of China
| | - Bing Wang
- Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058 People's Republic of China
| | - Jiakun Wang
- Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058 People's Republic of China
| | - Hongyun Liu
- Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058 People's Republic of China
| | - Jianxin Liu
- Institute of Dairy Science, MoE Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058 People's Republic of China
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