doi: 10.15389/agrobiology.2021.6.1049eng
UDC: 636.32.38:636.082:577.21
Acknowledgements:
Funded by the Ministry of Science and Higher Education of the Russian Federation (theme No. АААА-А19-119051590015-1)
S.N. Kovalchuk ✉
Institute of Innovative Biotechnologies in Animal Husbandry — the Branch of Ernst Federal Research Center for Animal Husbandry, 12/4, ul. Kostyakova, Moscow, 127422 Russia, e-mail s.n.kovalchuk@mail.ru (✉ corresponding author)
ORCID:
Kovalchuk S.N. orcid.org/0000-0002-5029-0750
Received October 2, 2021
Sheep husbandry contributes significantly to global food production. Improving the biochemical parameters of meat is one of the urgent goals of sheep breeding programs due to the changed customers’ requirements for food quality, in particular its dietary properties. The fatty acid composition is one of the important indicators of meat quality. High concentrations of saturated fatty acids in the human diet are known to increase plasma cholesterol concentrations which increases the risk of developing diabetes, obesity, and cardiovascular disease (A.P. Simopoulos, 2001; F.B. Hu et al., 2001). Improving the dietary properties of sheep meat by breeding animals with the increased content of unsaturated fatty acids is one of the possible measures that could reduce the incidence of these diseases. In addition, intramuscular fatty acid composition affects flavor, aroma, juiciness, and tenderness of the meat and the digestibility of fat. These reasons determine the relevance of identifying genetic markers associated with intramuscular fatty acid composition in sheep and their use in sheep breeding programs. This review analyzes data on phenotypic variability, inheritance of the intramuscu-lar fatty acid composition in sheep, and candidate genes identified due to genome-wide association studies (GWAS) with DNA microarrays technology (R. Bumgarner 2013) and high-throughput RNA sequencing method (RNA-seq) applicable in studying genetic mechanisms that are involved in the formation of animal phenotypes at the gene expression level (A. Oshlack et al., 2010; K.O. Mutz et al., 2013; R. Stark et al., 2019). Research results demonstrate that the quantitative indicators of the intramuscular fatty acid composition in different breeds of sheep and the degree of heritability of this trait vary widely which indicates the possibility of changing the profiles of the fatty acid composition of mutton through the use of genetic methods in sheep breeding programs (E. Karamichou et al., 2006; H.D. Daetwyler et al., 2012; S.I. Mortimer et al., 2014; S. Bolormaa et al., 2016; G.A. Rovadoscki et al., 2017). Summarizing GWAS и RNA-seq results, the most significant candidate genes associated with the fatty acid composition of sheep meat are i) acot11, baat, pnpla3, lclat1, isyna1, elovl6, agpat9, me1, acaca, dgat2, plcxd3, fads2, scd, cpt1a, pisd, lipg, b4galt6, acsm1, acsl1, aacs,and fasn which encode the enzymes of fat and fatty acids metabolism; ii) the genes encoding fatty acid transporters FABP3, FABP4, FABP5, SLC27A6, APOL6, and COPB2; iii) mlxipl, ppard, wnt11, foxo3, tnfaip8, npas2, fndc5, adipoq, adipor2, trhde, cidec, ccdc88c, tysnd1 and sgk2 genes which encode the transcription factors and effector proteins, regulating energy and fat metabolism (X. Miao et al., 2015; S. Bolormaa et al., 2016; L. Sun et al., 2016; G.A. Rovadoscki et al., 2017; R. Arora et al., 2019). These data allow a deeper understanding of the genetic mechanisms underlying the phenotypic variability of intramuscular fatty acid composition in sheep, which is a necessary background for successful selection strategies in sheep husbandry.
Keywords: sheep, fatty acids, genetic markers, GWAS, RNA-seq, SNP.
REFERENCES
- Ezhegodnik po plemennoi rabote v ovtsevodstve i kozovodstve v khozyaistvakh Rossiiskoi Federatsii (2020 god) /Pod redaktsiei T.A. Moroz [Yearbook on pedigree breeding in sheep and goat on the farms of the Russian Federation (2020). T.A. Moroz (ed.)]. Moscow, 2021 (in Russ.).
- Erokhin A.I., Karasev E.A., Yuldashbaev Yu.A. Zootekhniya, 2014, 12: 12-13 (in Russ.).
- Erokhin A.I., Karasev E.A., Erokhin S.A., Sycheva I.N. Ovtsy, kozy, sherstyanoe delo, 2021, 2: 20-22 CrossRef (in Russ.).
- Williams P. Nutritional composition of red meat. Nutrition & Dietetics, 2007, 64(s4): S113-S119 CrossRef
- Ikem A., Shanks B., Caldwell J., Garth J., Ahuja S. Estimating the daily intake of essential and nonessential elements from lamb m. longissimus thoracis et lumborum consumed by the population in Missouri (United States). Journal of Food Composition and Analysis, 2015, 40: 126-135 CrossRef
- Yehuda S., Rabinovitz S., Carasso R.L., Mostofsky D.I. The role of polyunsaturated fatty acids in restoring the aging neuronal membrane. Neurobiology of Aging, 2002, 23(5): 843-853 CrossRef
- Bazinet R.P., Layé S. Polyunsaturated fatty acids and their metabolites in brain function and disease. Nature Reviews Neuroscience, 2014, 15: 771-785 CrossRef
- Poznyakovskii V.M. Gigienicheskie osnovy pitaniya, kachestvo i bezopasnost' pishchevykh produktov [Food hygiene, food quality and safety]. Novosibirsk, 2005 (in Russ.).
- Simopoulos A.P. n-3 fatty acids and human health: defining strategies for public policy. Lipids, 2001, 36(S1): S83-S89 CrossRef
- Hu F.B., Manson J.E., Willett W.C. Types of dietary fat and risk of coronary heart disease: a critical review. Journal of the American College of Nutrition, 2001, 20(1): 5-19 CrossRef
- Barba M., Czosnek H., Hadidi A. Historical perspective, development and applications of next-generation sequencing in plant virology. Viruses, 2014, 6(1): 106-136 CrossRef
- Heather J.M., Chain B. The sequence of sequencers: the history of sequencing DNA. Genomics, 2016, 107(1): 1-8 CrossRef
- Jiang Y., Xie M., Chen W., Talbot R., Maddox J.F., Faraut T., Wu C., Muzny D.M., Li Y., Zhang W., Stanton J.A., Brauning R., Barris W.C., Hourlier T., Aken B.L., Searle S.M.J., Adelson D.L., Bian C., Cam G.R., Chen Y., Cheng S., DeSilva U., Dixen K., Dong Y., Fan G., Franklin I.R., Fu S., Guan R., Highland M.A., Holder M.E., Huang G., Ingham A.B., Jhangiani S.N., Kalra D., Kovar C.L., Lee S.L., Liu W., Liu X., Lu C., Lv T., Mathew T., McWilliam S., Menzies M., Pan S., Robelin D., Servin B., Townley D., Wang W., Wei B., White S.N., Yang X., Ye C., Yue Y., Zeng P., Zhou Q., Hansen J.B., Kristensen K., Gibbs R.A., Flicek P., Warkup C.C., Jones H.E., Oddy V.H., Nicholas F.W., McEwan J.C., Kijas J., Wang J., Worley K.C., Archibald A.L., Cockett N., Xu X., Wang W., Dalrymple B.P. The sheep genome illuminates biology of the rumen and lipid metabolism. Science, 2014, 344(6188): 1168-1173 CrossRef
- Li X., Yang J., Shen M., Xie X.L., Liu G.J., Xu Y.X., Lv F.H., Yang H., Yang Y.L., Liu C.B., Zhou P., Wan P.C., Zhang Y.S., Gao L., Yang J.Q., Pi W.H., Ren Y.L., Shen Z.Q., Wang F., Deng J., Xu S.S., Salehian-Dehkordi H., Hehua E., Esmailizadeh A., Dehghani-Qanatqestani M., Štěpánek O., Weimann C., Erhardt G., Amane A., Mwacharo J.M., Han J.L., Hanotte O., Lenstra J.A., Kantanen J., Coltman D.W., Kijas J.W., Bruford M.W., Periasamy K., Wang X.H., Li M.H. Whole-genome resequencing of wild and domestic sheep identifies genes associated with morphological and agronomic traits. Nature Communications, 2020, 11(1): 2815 CrossRef
- Bumgarner R. Overview of DNA microarrays: types, applications, and their future. Current Protocols in Molecular Biology, 2013, 101: 22.1.1-22.1.11 CrossRef
- Dekkers J.C. Application of genomics tools to animal breeding. Current Genomics, 2012, 13(3): 207-212 CrossRef
- Koopaee H.K., Koshkoiyeh A.E. SNPs genotyping technologies and their applications in farm animals breeding programs. Brazilian Archives of Biology and Technology, 2014, 57(1): 87-95 CrossRef
- Kijas J.W., Lenstra J.A., Hayes B., Boitard S., Porto Neto L.R., San Cristobal M., Servin B., McCulloch R., Whan V., Gietzen K., Paiva S., Barendse W., Ciani E., Raadsma H., McEwan J., Dalrymple B., other members of the International Sheep Genomics Consortium. Genome-wide analysis of the world’s sheep breeds reveals high levels of historic mixture and strong recent selection. PLoS Biology, 2012, 10(2): e1001258 CrossRef
- Mardis E.R. The impact of next-generation sequencing technology on genetics. Trends in Genetics, 2008, 24(3): 133-141 CrossRef
- Mutz K.O., Heilkenbrinker A., Lönne M., Walter J.G., Stahl F. Transcriptome analysis using next-generation sequencing. Current Opinion in Biotechnology, 2013, 24(1): 22-30 CrossRef
- Oshlack A., Robinson M.D., Young M.D. From RNA-seq reads to differential expression results. Genome Biology, 2010, 11(12): 220 CrossRef
- Stark R., Grzelak M., Hadfield J. RNA sequencing: the teenage years. Nature Reviews Genetics, 2019, 20(11): 631-656 CrossRef
- VanRaden P.M. Efficient methods to compute genomic predictions. Journal of Dairy Science, 2008, 91(11): 4414-4423 CrossRef
- Goddard M.E., Hayes B.J. Genomic selection. Journal of Animal Breeding and Genetics, 2007, 124(6): 323-330 CrossRef
- Alekseeva A., Magomadov T., Yuldashbaev Yu. Glavnyi zootekhnik, 2018, 7: 32-37 (in Russ.).
- Glagoev A.Ch. Metody povysheniya produktivnosti i effektivnosti ispol'zovaniya porodnykh resursov v ovtsevodstve. Doktorskaya dissertatsiya [Methods for increasing productivity and efficiency of sheep breed resources in breeding. DSc Thesis]. Michurinsk—Naukograd, 2019 (in Russ.).
- Glagoev A.Ch., Negreeva A.N., Shchugoreva T.E. Tekhnologii pishchevoi i pererabatyvayushchei promyshlennosti APK — produkty zdorovogo pitaniya, 2021, 1: 137-144 (in Russ.).
- Erokhin A.I., Karasev E.A., Yuldashbaev Yu.A., Magomadov T.A., Medvedev M.V. Izvestiya Timiryazevskoi sel'skokhozyaistvennoi akademii, 2012, 2: 126-135 (in Russ.).
- Muratova V.V. Myasnaya produktivnost' i otsenka kachestva myasa molodnyaka ovets edil'baevskoi porody raznykh vesovykh kategorii. Kandidatskaya dissertatsiya [Meat productivity and meat quality assessment of young Edilbaev sheep of different weight categories. PhD Thesis]. Saratov, 2020 (in Russ.).
- Kipkeev M.Kh., Sel'kin I.I. Sel'skokhozyaistvennyi zhurnal, 2004, 1-1: 23-28 (in Russ.).
- Mugaev M.A., Khatataev S.A., Grigoryan L.N. Parameters of meat quality in young sheeps of the romanovskaya breed in connection with lambing season. Sel'skokhozyaistvennaya biologiya [Agricultural Biology], 2011, 6: 110-115 (in Russ.).
- Liu K., Ge S., Luo H., Yue D., Yan L. Effects of dietary vitamin E on muscle vitamin E and fatty acid content in Aohan fine-wool sheep. Journal of Animal Science and Biotechnology, 2013, 4(1): 21 CrossRef
- Knapik J., Ropka-Molik K., Pieszka M. Genetic and nutritional factors determining the production and quality of sheep meat — a review. Annals of Animal Science, 2017, 17(1): 23-40 CrossRef
- Chai J., Diao Q., Zhao J., Wang H., Deng K., Qi M., Nie M., Zhang N. Effects of rearing system on meat quality, fatty acid and amino acid profiles of Hu lambs. Animal Science Journal, 2018, 89(8): 1178-1186 CrossRef
- Karamichou E., Richardson R.I., Nute G.R., Gibson K.P., Bishop S.C. Genetic analyses and quantitative trait loci detection, using a partial genome scan, for intramuscular fatty acid composition in Scottish Blackface sheep. Journal of Animal Science, 2006, 84(12): 3228-3238 CrossRef
- Daetwyler H.D., Swan A.A., van der Werf J.H., Hayes B.J. Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation. Genetics Selection Evolution, 2012, 44: 33 CrossRef
- Mortimer S.I., van der Werf J.H.J., Jacob R.H., Hopkins D.L., Pannier L., Pearce K.L., Gardner G.E., Warner R.D., Geesink G.H., Hocking Edwards J.E., Ponnampalam E.N., Ball A.J., Gilmour A.R., Pethick D.W. Genetic parameters for meat quality traits of Australian lamb meat. Meat Science, 2014, 96(2): 1016-1024 CrossRef
- Bolormaa S., Hayes B.J., van der Werf J.H., Pethick D., Goddard M.E., Daetwyler H.D. Detailed phenotyping identifies genes with pleiotropic effects on body composition. BMC Genomics, 2016, 17: 224 CrossRef
- Rovadoscki G.A., Pertile S.F.N., Alvarenga A.B., Cesar A.S.M., Pértille F., Petrini J., Franzo V., Soares W.V.B., Morota G., Spangler M.L., Pinto L.F.B., Carvalho G.G.P., Lanna D.P.D., Coutinho L.L., Mourão G.B. Estimates of genomic heritability and genome-wide association study for fatty acids profile in Santa Inês sheep. BMC Genomics, 2018, 19(1): 375 CrossRef
- van der Werf J.H.J., Kinghorn B.P., Banks R.G. Design and role of an information nucleus in sheep breeding programs. Animal Production Science, 2010, 50(12): 998-1003 CrossRef
- White J.D, Allingham P.G., Gorman C.M., Emery D.L., Hynd P., Owens J., Bell A., Siddell J., Harper G., Hayes B.J., Daetwyler H.D., Usmar J., Goddard M.E., Henshall J.M., Dominik S., Brewer H., van der Werf J.H.J., Nicholas F.W., Warner R., Hofmyer C., Longhurst T., Fisher T., Swan P., Forage R., Oddy V.H. Design and phenotyping procedures for recording wool, skin, parasite resistance, growth, carcass yield and quality traits of the SheepGENOMICS mapping flock. Animal Production Science, 2012, 52(3): 157-171 CrossRef
- Hu Z.L., Park C.A., Reecy J.M. Developmental progress and current status of the Animal QTLdb. Nucleic Acids Research, 2016, 44(D1): D827-D833 CrossRef
- Hu Z.L., Park C.A., Reecy J.M. Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB. Nucleic Acids Research, 2019, 47(D1): D701-D710 CrossRef
- Sumara G., Sumara O., Kim J.K., Karsenty G. Gut-derived serotonin is a multifunctional determinant to fasting adaptation. Cell Metabolism, 2012, 16(5): 588-600 CrossRef
- Laporta J., Hernandez L.L. Serotonin receptor expression is dynamic in the liver during the transition period in Holstein dairy cows. Domestic Animal Endocrinology, 2015, 51: 65-73 CrossRef
- Aliesky H.A., Pichurin P.N., Chen C.R., Williams R.W., Rapoport B., McLachlan S.M. Probing the genetic basis for thyrotropin receptor antibodies and hyperthyroidism in immunized CXB recombinant inbred mice. Endocrinology, 2006, 147(6): 2789-2800 CrossRef
- Cavanagh C.R., Jonas E., Hobbs M., Thomson P.C., Tammen I., Raadsma H.W. Mapping quantitative trait loci (QTL) in sheep. III. QTL for carcass composition traits derived from CT scans and aligned with a meta-assembly for sheep and cattle carcass QTL. Genetics Selection Evolution, 2010, 42(1): 36 CrossRef
- Hwang D. Fatty acids and immune responses-a new perspective in searching for clues to mechanism. Annual Review of Nutrition, 2000, 20: 431-456 CrossRef
- Muoio D.M., MacLean P.S., Lang D.B., Li S, Houmard J.A., Way J.M., Winegar D.A., Corton J.C., Dohm G.L., Kraus W.E. Fatty acid homeostasis and induction of lipid regulatory genes in skeletal muscles of peroxisome proliferator-activated receptor (PPAR) alpha knock-out mice. Evidence for compensatory regulation by PPAR delta. Journal of Biological Chemistry, 2002, 277(29): 26089-26097 CrossRef
- Yen C.-L.E., Stone S.J., Koliwad S., Harris C., Farese R.V. Jr. Thematic review series: glycerolipids. DGAT enzymes and triacylglycerol biosynthesis. Journal of Lipid Research, 2008, 49(11): 2283-2301 CrossRef
- Drackley J.K. Lipid metabolism. In: Farm animal metabolism and nutrition. J.P.F. D’Mello (ed.). CABI, New York, 2000.
- Ross S.E., Hemati N., Longo K.A., Bennett C.N., Lucas P.C., Erickson R.L., MacDougald O.A. Inhibition of adipogenesis by Wnt signaling. Science, 2000, 289(5481): 950-953 CrossRef
- Takada I., Kouzmenko A.P., Kato S. Wnt and PPARgamma signaling in osteoblastogenesis and adipogenesis. Nature Reviews Rheumatology, 2009, 5(8): 442-447 CrossRef
- Galic S., Oakhill J.S., Steinberg G.R. Adipose tissue as an endocrine organ. Molecular and Cellular Endocrinology, 2010, 316(2): 129-139 CrossRef
- Cristancho A.G., Lazar M.A. Forming functional fat: a growing understanding of adipocyte differentiation. Nature Reviews Molecular Cell Biology, 2011, 12: 722-734 CrossRef
- Waters M., Serafini T., Rothman J. 'Coatomer': a cytosolic protein complex containing subunits of non-clathrin-coated Golgi transport vesicles. Nature, 1991, 349: 248-251 CrossRef
- Kuhajda F.P., Jenner K., Wood F.D., Hennigar R.A., Jacobs L.B., Dick J.D., Pasternack G.R. Fatty acid synthesis: a potential selective target for antineoplastic therapy. Proceedings of the National Academy of Sciences, 1994, 91(14): 6379-6383 CrossRef
- Niture S., Gyamfi M.A., Lin M., Chimeh U., Dong X., Zheng W., Moore J., Kumar D. TNFAIP8 regulates autophagy, cell steatosis, and promotes hepatocellular carcinoma cell proliferation. Cell Death and Disease, 2020, 11(3): 178 CrossRef
- Huang J.M., Xian H., Bacaner M. Long-chain fatty acids activate calcium channels in ventricular myocytes. Proceedings of the National Academy of Sciences, 1992, 89(14): 6452-6456 CrossRef
- Xiao Y.F., Gomez A.M., Morgan J.P., Lederer W.J., Leaf A. Suppression of voltage-gated L-type Ca2+ currents by polyunsaturated fatty acids in adult and neonatal rat ventricular myocytes. Proceedings of the National Academy of Sciences, 1997, 94(8): 4182-4187 CrossRef
- Murphy E.F., Jewell C., Hooiveld G.J., Muller M., Cashman K.D. Conjugated linoleic acid enhances transepithelial calcium transport in human intestinal-like Caco-2 cells: an insight into molecular changes. Prostaglandins, Leukotrienes & Essential Fatty Acids, 2006, 74(5): 295-301 CrossRef
- Leonard A.E., Pereira S.L., Sprecher H., Huang Y.S. Elongation of long-chain fatty acids. Progress in Lipid Research, 2004, 43(1): 36-54 CrossRef
- Shindou H., Shimizu T. Acyl-CoA:lysophospholipid acyltransferases. Journal of Biological Chemistry, 2009, 284(1): 1-5 CrossRef
- Kooner J.S., Chambers J.C., Aguilar-Salinas C.A., Hinds D.A., Hyde C.L., Warnes G.R., Gómez Pérez F.J., Frazer K.A., Elliott P., Scott J., Milos P.M., Cox D.R., Thompson J.F. Genome-wide scan identifies variation in MLXIPL associated with plasma triglycerides. Nature Genetics, 2008, 40: 149-151 CrossRef
- Füllekrug J., Ehehalt R., Poppelreuther M. Outlook: membrane junctions enable the metabolic trapping of fatty acids by intracellular acyl-CoA synthetases. Frontiers in Physiology, 2012, 3: 401 CrossRef
- Arora R., Kumar N.S., Sudarshan S., Fairoze M.N., Kaur M., Sharma A., Girdhar Y.M.S.R., Devatkal S.K., Ahlawat S., Vijh R.K., Manjunatha S.S. Transcriptome profiling of longissimus thoracis muscles identifies highly connected differentially expressed genes in meat type sheep of India. PLoS ONE, 2019, 14(6): e0217461 CrossRef
- Fischer H., Gustafsson T., Sundberg C.J., Norrbom J., Ekman M., Johansson O., Jansson E. Fatty acid binding protein 4 in human skeletal muscle. Biochemical and Biophysical Research Communications, 2006, 346(1): 125-130 CrossRef
- Stern J.H., Rutkowski J.M., Scherer P.E. Adiponectin, leptin, and fatty acids in the maintenance of metabolic homeostasis through adipose tissue crosstalk. Cell Metabolism, 2016, 23(5): 770-784 CrossRef
- Li B., Zerby H.N., Lee K. Heart fatty acid binding protein is upregulated during porcine adipocyte development. Journal of Animal Science, 2007, 85(7): 1651-1659 CrossRef
- Coe N.R., Simpson M.A., Bernlohr D.A. Targeted disruption of the adipocyte lipid-binding protein (aP2 protein) gene impairs fat cell lipolysis and increases cellular fatty acid levels. Journal of Lipid Research, 1999, 40(5): 967-972 CrossRef
- Furuhashi M., Saitoh S., Shimamoto K., Miura T. Fatty acid-binding protein 4 (FABP4): pathophysiological insights and potent clinical biomarker of metabolic and cardiovascular diseases. Clinical Medicine Insights: Cardiology, 2015, 8(Suppl. 3): 23-33 CrossRef
- Xu X., Chen W., Yu S., Fan S., Ma W. Candidate genes expression affect intramuscular fat content and fatty acid composition in Tan sheep. Genetics and Molecular Research, 2020, 19(4): GMR18550 CrossRef
- Wolf G. Adiponectin: a regulator of energy homeostasis. Nutrition Review, 2003, 61(8): 290-292 CrossRef
- Kadowaki T., Yamauchi T. Adiponectin and adiponectin receptors. Endocrine Reviews, 2005, 26(3): 439-451 CrossRef
- An Q.M., Zhou H.T., Hu J., Luo Y.Z., Hickford J.G. Haplotypes and sequence variation in the ovine adiponectin gene (ADIPOQ). Genes, 2015, 6(4): 1230-1241 CrossRef
- An Q., Zhou H., Hu J., Luo Y., Hickford J.G.H. Haplotypes of the ovine adiponectin gene and their association with growth and carcass traits in New Zealand Romney lambs. Genes, 2017, 8(6): 160 CrossRef
- Okumoto K., Kametani Y., Fujiki Y. Two proteases, trypsin domain-containing 1 (Tysnd1) and peroxisomal lon protease (PsLon), cooperatively regulate fatty acid β-oxidation in peroxisomal matrix. Journal of Biological Chemistry, 2011, 286(52): 44367-44379 CrossRef
- Li B., Qiao L., An L., Wang W., Liu J., Ren Y., Pan Y., Jing J., Liu W. Transcriptome analysis of adipose tissues from two fat-tailed sheep breeds reveals key genes involved in fat deposition. BMC Genomics, 2018, 19(1): 338 CrossRef
- Deniskova T.E., Kunz E., Medugorac I., Dotsev A.V., Brem G., Zinovieva N.A. A study of genetic mechanisms underlying the fat tail phenotype in sheep: methodological approaches and identified candidate genes (review). Agricultural Biology, 2019, 54(6): 1065-1079 CrossRef
- Sun L., Bai M., Xiang L., Zhang G., Ma W., Jiang H. Comparative transcriptome profiling of longissimus muscle tissues from Qianhua Mutton Merino and Small Tail Han sheep. Scientific Reports, 2016, 6: 33586 CrossRef
- Zimmerman A.W., Veerkamp J.H. New insights into the structure and function of fatty acid-binding proteins. Cellular and Molecular Life Sciences, 2002, 59(7): 1096-1116 CrossRef
- Senga S., Kobayashi N., Kawaguchi K., Ando A., Fujii H. Fatty acid-binding protein 5 (FABP5) promotes lipolysis of lipid droplets, de novo fatty acid (FA) synthesis and activation of nuclear factor-kappa B (NF-κB) signaling in cancer cells. Biochimica et Biophysica Acta (BBA) — Molecular and Cell Biology of Lipids, 2018, 1863(9): 1057-1067 CrossRef
- Corominas J., Ramayo-Caldas Y., Puig-Oliveras A., Pérez-Montarelo D., Noguera J.L., Folch J.M., Ballester M. Polymorphism in the ELOVL6 gene is associated with a major QTL effect on fatty acid composition in pigs. PLoS ONE, 2013, 8(1): e53687 CrossRef
- Miao X., Luo Q., Qin X. Genome-wide analysis reveals the differential regulations of mRNAs and miRNAs in Dorset and Small Tail Han sheep muscles. Gene, 2015, 562(2): 188-196 CrossRef
- Pucci S., Zonetti M., Fisco T., Polidoro C., Bocchinfuso G., Palleschi A., Novelli G., Spagnoli L.G., Mazzarelli P. Carnitine palmitoyl transferase-1A (CPT1A): a new tumor specific target in human breast cancer. Oncotarget, 2016, 7: 19982-19996 CrossRef
- O’Byrne J., Hunt M.C., Rai D.K., Saeki M., Alexson S.E. The human bile acid-CoA:amino acid N-acyltransferase functions in the conjugation of fatty acids to glycine. Journal of Biological Chemistry, 2003, 278(36): 34237-34244 CrossRef
- Anderson C.M., Stahl A. SLC27 fatty acid transport proteins. Molecular Aspects of Medicine, 2013, 34(2-3): 516-528 CrossRef
- Kang D., Zhou G., Zhou S., Zeng J., Wang X., Jiang Y., Yang Y., Chen Y. Comparative transcriptome analysis reveals potentially novel roles of Homeobox genes in adipose deposition in fat-tailed sheep. Scientific Reports, 2017, 7(1): 14491 CrossRef
- Palmer B.R., Roberts N., Hickford J.G., Bickerstaffe R. Rapid communication: PCR-RFLP for MspI and NcoI in the ovine calpastatin gene. Journal of Animal Science, 1998, 76(5): 1499-1500 CrossRef
- Chizhova L.N., Karpova E.D., Surzhikova E.S., Zabelina M.V. Ovtsy, kozy, sherstyanoe delo, 2021, 2: 12-15 CrossRef (in Russ.).
- Aali M., Moradi-Shahrbabak H., Moradi-Shahrbabak M., Sadeghi M., Yousefi R. Association of the calpastatin genotypes, haplotypes, and SNPs with meat quality and fatty acid composition in two Iranian fat- and thin-tailed sheep breeds. Small Ruminant Research, 2017, 149: 40-51 CrossRef