Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid

Authors

  • Julián A. C. Vargas São Paulo State University

DOI:

https://doi.org/10.17533/udea.rccp.v32n3a02

Keywords:

cattle, lipid profile, lipid metabolism, multivariate statistics, multivariate factor analysis, ruminant, ruminal fluid, unbranched fatty acids

Abstract

Background: Multivariate factor analysis (MFA) could be used for analyzing the complex pattern of correlations among fatty acids (FAs) in the rumen. Objective: To investigate the potential use of MFA to extract information on unbranched FAs metabolism in bovine rumen fluid. Methods: A dataset containing 107 individual records of 26 unbranched FAs from two in vitro ruminal incubation studies was constructed. The MFA was performed using the SPSS (Statistical Package for the Social Sciences) software. Results: The MFA extracted four latent factors, accounting for 86.7% of the total variance. The first factor was positively associated with short (6:0), medium (8:0, 10:0, 12:0, 14:0, and 16:0), and long (17:0, 20:0, and 23:0) saturated FAs (SFAs), as well as with cis and trans monounsaturated FAs (MUFAs) from 14 to 16 carbon atoms (14:1-t5, 14:1-c9, 15:1-t10, 16:1-c9, and 16:1-t9). The second factor was positively correlated with 18:0 and the majority of cis and trans MUFAs of 18 carbon atoms (18:1-t9, 18:1-t11, 18:1-c6, 18:1-c9, and 18:1-c11). The third factor was positively related to 18:3-c9,c12,c15 and 18:2-t11,c15, and negatively to 18:2-c9,t11. The fourth factor was positively correlated with 18:1-t6 and 19:0; however, 19:0 was also negatively associated with the second factor. The 18:2-c9,c12 was negatively correlated with the second and third factors. Conclusion: Multivariate factor analysis (MFA) allowed the reduction of a large number of fatty acids in bovine ruminal fluid to a few latent factors with biological meaning.

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Author Biography

Julián A. C. Vargas, São Paulo State University

Faculty of Agricultural and Veterinary Sciences, Department of Animal Science, Paulista State University “Júlio de Mesquita Filho”, Jaboticabal, São Paulo, Brazil.

References

Dadousis C, Cipolat-Gotet C, Bittante G, Cecchinato A. Inferring genetic parameters on latent variables underlying milk yield and quality, protein composition, curd firmness and cheese-making traits in dairy cattle. Animal 2018; 12:224-231.

Delmonte P, Fardin-Kia AR, Kramer JKG, Mossoba MM, Sidisky L, Tyburczy C, Rader JI. Evaluation of highly polar ionic liquid gas chromatographic column for the determination of the fatty acids in milk fat. J Chromatogr A 2012; 1233:137–146.

Emmanuel B. On the origin of rumen protozoan fatty acids. Biochim Biophys Acta 1974; 337:404–413.

Ferlay A, Bernard L, Meynadier A, Malpuech-Brugère C. Production of trans and conjugated fatty acids in dairy ruminants and their putative effects on human health: A review. Biochimie 2017; In press.

Garcés R, Mancha M. One-step lipid extraction and fatty acid methyl esters preparation from fresh plant tissues. Anal Biochem 1993; 211:139-143.

Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis: Pearson new international edition 7th ed. Edinburg: Pearson Education Limited; 2014. p. 729.

Harfoot CC, Hazlewood GP. Lipid metabolism in the rumen. In: Hobson PN and Stewart DS, editors. The rumen microbial ecosystem 2nd ed. London: Chapman and Hall; 1997. p.382–426.

Hur SJ, Kim HS, Bahk YY, Park Y. Overview of conjugated linoleic acid formation and accumulation in animal products. Livest Sci 2017; 195: 105-111.

IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0 Armonk, NY.

Jenkins TC, Wallace RJ, Moate PJ, Mosley EE. Board-Invited Review: Recent advances in biohydrogenation of unsaturated fatty acids within the rumen microbial ecosystem. J. Anim Sci 2008; 86:397-412.

Johnson RA, Wichern DW. Applied multivariate statistical analysis: Pearson new international edition 6th ed. Edinburg: Pearson Education Limited; 2014. p. 765.

Jouany JP, Lassalas B, Doreau M, Glasser F. Dynamic features of the rumen metabolism of linoleic acid, linolenic acid and linseed WJ oil measured in vitro. Lipids 2007; 42:351-360.

Kemp P, Lander DJ, Orpin CG. The lipids of the rumen fungus Piromonas communis. J Gen Microbiol 1984; 130:27–37.

Kemp P, White RW, Lander DJ. The hydrogenation of insaturated fatty acids by five bacterial isolates from the sheep rumen, including a new species. J Gen Microbiol 1975; 90:100-114.

Kim EJ, Sanderson R, Dhanoa MS, Dewhurst RJ. Fatty Acid Profiles Associated with Microbial Colonization of Freshly Ingested Grass and Rumen Biohydrogenation. J Dairy Sci 2005; 88: 3220–3230.

Macciotta NPP, Dimauro C, Null DJ, Gaspa G, Cellesi M, Cole JB. Dissection of genomic correlation matrices of US Holsteins using multivariate factor analysis. J Anim Breed Genet 2015; 132:9–20.

Macciotta, NPP, Cecchinato A, Mele M, Bittante G. Use of multivariate factor analysis to define new indicator variables for milk composition and coagulation properties in Brown Swiss cows. J Dairy Sci 2012; 95:7346–7354.

Macciotta NPP, Vicario D, Dimauro C, Cappio-Borlino A. A multivariate approach to modelling shapes of individual lactation curves in cattle. J Dairy Sci 2004; 87:1092–1098.

Mele M, Macciotta NPP, Cecchinato A, Conte G, Schiavon S, Bittante G. Multivariate factor analysis of detailed milk fatty acid profile: Effects of dairy system, feeding, herd, parity, and stage of lactation. J Dairy Sci 2016; 99:1–14.

Ntambi JM. Regulation of stearoyl-CoA desaturase by polyunsaturated fatty acids and cholesterol. J Lipid Res 1999; 40:1549–1558.

Or-Rashid MM, Odongo NE, McBride BW. Fatty acid composition of ruminal bacteria and protozoa, with emphasis on conjugated linoleic acid, vaccenic acid, and odd-chain and branched-chain fatty acids. J Anim Sci 2007; 85:1228–1234.

Shingfield KJ, Bonnet M, Scollan ND. Recent developments in altering the fatty acid composition of ruminant-derived foods. Animal 2013; 7:132–162.

Snedecor GW, Cochran WG.Statistical methods, 8th ed. Ames, Iowa: Iowa State University Press; 1989.

Todaro M, Scatassa M, Giaccone P. Multivariate factor analysis of Girgentana goat milk composition. Ital J Anim Sci 2005; 4:403–410.

Vargas JAC, Olivera M, Pabón M, Carulla J. Reduction of the biohydrogenation of linoleic and alpha-linolenic acid by addition of different proportions of eicosapentaenoic acid and docosahexaenoic acid. Rev Colomb Quím 2012; 41:395-408.

Vargas JAC, Olivera M, Ribeiro CVDM, Daza EE. In vitro rumen biohydrogenation kinetics of mixed linoleic and alfa-linolenic acids. Rev Colomb Cienc Pec 2018; 31:213-222.

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Published

2019-07-16

How to Cite

Vargas, J. A. C. (2019). Using multivariate factor analysis to characterize the unbranched fatty acid profile in bovine rumen fluid. Revista Colombiana De Ciencias Pecuarias, 32(3), 175–183. https://doi.org/10.17533/udea.rccp.v32n3a02

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