[Addo-Quaye C., Miller W., Axtell M.J.(2009). CleaveLand: a pipeline for using degradome data to find cleaved small RNA targets. Bioinformatics, 25: 130–131.]Search in Google Scholar
[Adeva-Andany M.M., González-Lucán M., Donapetry-García C., Fernández-Fernández C., Ameneiros-Rodríguez E.(2016). Glycogen metabolism in humans. BBA Clin., 5: 85–100.]Search in Google Scholar
[Ambros V.(2004). The functions of animal microRNAs. Nature, 431: 350–355.]Search in Google Scholar
[Ameres S.L., Zamore P.D.(2013). Diversifying microRNA sequence and function. Nat. Rev. Mol. Cell Biol., 14: 475–488.]Search in Google Scholar
[Bereta A., Tyra M., Ropka-Molik K., Wojtysiak D., Różycki M., Eckert R.(2014). Histological profile of the longissimus dorsi muscle in Polish Large White and Polish Landrace pigs and its effect on loin parameters and intramuscular fat content. Ann. Anim. Sci., 14: 955–966.]Search in Google Scholar
[Coutinho L.L., Morris J., Marks H.L., Buhr R.J., Ivarie R.(1993). Delayed somite formation in a quail line exhibiting myofiber hyperplasia is accompanied by delayed expression of myogenic regulatory factors and myosin heavy chain. Development, 117: 563–569.]Search in Google Scholar
[Diawara M.R., Hue C., Wilder S.P., Venteclef N., Aron-Wisnewsky J., Scott J., Clément K., Gauguier D., Calderari S.(2014). Adaptive expression of microRNA-125a in adipose tissue in response to obesity in mice and men. PLoS One, 9.10.1371/journal.pone.0091375396799324675842]Search in Google Scholar
[Duque S.I., Arnold W.D., Odermatt P., Li X., Porensky P.N., Schmelzer L., Meyer K., Kolb S.J., Schümperli D., Kaspar B.K., Burghes A.H.M.(2015). A large animal model of spinal muscular atrophy and correction of phenotype. Ann. Neurol., 77: 399–414.]Search in Google Scholar
[Eulalio A., Huntzinger E., Nishihara T., Rehwinkel J., Fauser M., Izaurralde E.(2009). Deadenylation is a widespread effect of miRNA regulation. RNA, 15: 21–32.]Search in Google Scholar
[Foucault G., Vacher M., Merkulova T., Keller A., Arrio-Dupont M.(1999). Presence of enolase in the M-band of skeletal muscle and possible indirect interaction with the cytosolic muscle isoform of creatine kinase. Biochem. J., 338 ( Pt 1): 115–121.]Search in Google Scholar
[Freimer J.W., Hu T.J., Blelloch R.(2018). Decoupling the impact of MicroRNAs on translational repression versus RNA degradation in embryonic stem cells. Elife, 7: e38014.]Search in Google Scholar
[Fukuzawa A., Lange S., Holt M., Vihola A., Carmignac V., Ferreiro A., Udd B., Gautel M.(2008). Interactions with titin and myomesin target obscurin and obscurin-like 1 to the M-band – Implications for hereditary myopathies. J. Cell Sci., 121: 1841–1851.]Search in Google Scholar
[Gebert L.F.R., Mac Rae I.J.(2019). Regulation of microRNA function in animals. Nat. Rev. Mol. Cell Biol., 20: 21–37.]Search in Google Scholar
[Groth C.G.(2007). The potential advantages of transplanting organs from pig to man: A transplant surgeon’s view. Indian J. Urolog., 23: 305–309.]Search in Google Scholar
[Gurnett C.A., Alaee F., Desruisseau D., Boehm S., Dobbs M.B.(2009). Skeletal muscle contractile gene (TNNT3, MYH3, TPM2) mutations not found in vertical talus or clubfoot. Clin. Orthop. Relat. Res., 467: 1195–1200.]Search in Google Scholar
[He X., Yan Y.L., Eberhart J.K., Herpin A., Wagner T.U., Schartl M., Postlethwait J.H.(2011). MiR-196 regulates axial patterning and pectoral appendage initiation. Dev. Biol., 357: 463–477.]Search in Google Scholar
[Jackowiak P., Nowacka M., Strozycki P.M., Figlerowicz M.(2011). RNA degradomeits biogenesis and functions. Nucleic Acids Res., 39: 7361–7370.]Search in Google Scholar
[Krüger M., Kötter S.(2016). Titin, a central mediator for hypertrophic signaling, exercise-induced mechanosignaling and skeletal muscle remodeling. Front. Physiol., 7: 76.]Search in Google Scholar
[Li H., Handsaker B., Wysoker A., Fennell T., Ruan J., Homer N., Marth G., Abecasis G., Durbin R.(2009). The Sequence Alignment/Map format and SAMtools. Bioinformatics, 25: 2078–2079.]Search in Google Scholar
[Liu J., Fu R., Liu R., Zhao G., Zheng M., Cui H., Li Q., Song J., Wang J., Wen J.(2016). Protein profiles for muscle development and intramuscular fat accumulation at different post-hatching ages in chickens. PLoS One, 11.10.1371/journal.pone.0159722498005627508388]Search in Google Scholar
[Lytle J.R., Yario T.A., Steitz J.A.(2007). Target mRNAs are repressed as efficiently by microRNA- binding sites in the 5’ UTR as in the 3’ UTR. Proc. Natl. Acad. Sci. USA, 104: 9667–9672.]Search in Google Scholar
[Mi H., Muruganujan A., Ebert D., Huang X., Thomas P.D.(2019). PANTHER version 14: More genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. Nucleic Acids Res., 47: D419–D426.]Search in Google Scholar
[Neppl R.L., Kataok M., Wang D.Z.(2014). Crystallin-αB regulates skeletal muscle homeostasis via modulation of Argonaute2 activity. J. Biol. Chem., 289: 17240–17248.]Search in Google Scholar
[Neuner R., Cousin H., Mc Cusker C., Coyne M., Alfandari D.(2009). Xenopus ADAM19 is involved in neural, neural crest and muscle development. Mech. Dev., 126: 240–255.]Search in Google Scholar
[Olsen P.H., Ambros V.(1999). The lin-4 regulatory RNA controls developmental timing in Caenorhabditis elegans by blocking LIN-14 protein synthesis after the initiation of translation. Dev. Biol., 216: 671–680.]Search in Google Scholar
[Orzechowska B., Wojtysiak D., MigdałW., Tyra M.(2008). Relationships between muscle fibre characteristics and physico-chemical properties of longissimus lumborum muscle and growth rate in pig fatteners of three breeds. Anim. Sci. Pap. Rep., 26: 277–285.]Search in Google Scholar
[Palstra A.P., Beltran S., Burgerhout E., Brittijn S.A., Magnoni L.J., Henkel C.V., Jansen H.J., vanden Thillart G.E.E.J.M., Spaink H.P., Planas J.V.(2013). Deep RNA sequencing of the skeletal muscle transcriptome in swimming fish. PLoS One, 8: e53171.]Search in Google Scholar
[Pratt A.J., Mac Rae I.J.(2009). The RNA-induced silencing complex: A versatile gene-silencing machine. J. Biol. Chem., 284: 17897–17901.]Search in Google Scholar
[Qian L., Tang M., Yang J., Wang Q., Cai C., Jiang S., Li H., Jiang K., Gao P., Ma D., Chen Y., An X., Li K., Cui W.(2015). Targeted mutations in myostatin by zinc-finger nucleases result in double-muscled phenotype in Meishan pigs. Sci. Rep., 5: 14435.]Search in Google Scholar
[Ropka-Molik K., Pawlina-Tyszko K., Żukowski K., Piórkowska K., Żak G., Gurgul A., Derebecka N., Wesoły J.(2018). Examining the genetic background of porcine muscle growth and development based on transcriptome and miRNAome data. Int. J. Mol. Sci., 19: 1208.]Search in Google Scholar
[Roy B., Jacobson A.(2013). The intimate relationships of mRNA decay and translation. Trends Genet., 29: 691–699.]Search in Google Scholar
[Sanei M., Chen X.(2015). Mechanisms of microRNA turnover. Curr. Opin. Plant Biol., 27: 199–206.]Search in Google Scholar
[Savarese M., Sarparanta J., Vihola A., Udd B., Hackman P.(2016). Increasing role of titin mutations in neuromuscular disorders. J. Neuromuscul. Dis., 3: 293–308.]Search in Google Scholar
[Selsby J.T., Ross J.W., Nonneman D., Hollinger K.(2015). Porcine models of muscular dystrophy. ILAR J., 56: 116–126.]Search in Google Scholar
[Škrlep M., Kavar T., Čandek-Potokar M.(2010). Comparison of PRKAG3 and RYR1 gene effect on carcass traits and meat quality in Slovenian commercial pigs. Czech J. Anim. Sci., 55: 149–159.]Search in Google Scholar
[Stocks M.B., Mohorianu I., Beckers M., Paicu C., Moxon S., Thody J., Dalmay T., Moulton V.(2018). The UEA sRNA Workbench (version 4.4): a comprehensive suite of tools for analyzing miRNAs and sRNAs. Bioinformatics, 34: 3382–3384.]Search in Google Scholar
[Sugiyama Y., Suzuki A., Kishikawa M., Akutsu R., Hirose T., Waye M.M.Y., Tsui S.K.W., Yoshida S., Ohno S.(2000). Muscle develops a specific form of small heat shock protein complex composed of MKBP/HSPB2 and HSPB3 during myogenic differentiation. J. Biol. Chem., 275: 1095–1104.]Search in Google Scholar
[Szklarczyk D., Gabl A.L., Lyo D., Junge A., Wyde S., Huerta-Cepas J., Simonovic M., Doncheva N.T., Morris J.H., Bork P., Jense L.J., Mering C.von(2019). STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res., 47: D607–D613.]Search in Google Scholar
[Tai P.W.L., Fisher-Aylor K.I., Himeda C.L., Smith C.L., Mac Kenzie A.P., Helterline D.L., Angello J.C., Welikson R.E., Wold B.J., Hauschka S.D.(2011). Differentiation and fiber type-specific activity of a muscle creatine kinase intronic enhancer. Skelet. Muscle, 1: 25.]Search in Google Scholar
[Te Pas M.F.W., Cagnazzo M., De Wit A.A.C., Priem J., Pool M., Davoli R.(2005). Muscle transcriptomes of Duroc and Pietrain pig breeds during prenatal formation of skeletal muscle tissue using microarray technology. Arch. Tierz., Dummerstorf., 48: 141–147.]Search in Google Scholar
[Trapnell C., Pachter L., Salzberg S.L.(2009). TopHat: Discovering splice junctions with RNA-Seq. Bioinformatics, 25: 1105–1111.]Search in Google Scholar
[Tyra M., Żak G.(2013). Analysis of the possibility of improving the indicators of pork quality through selection with particular consideration of intramuscular fat (IMF) content. Ann. Anim. Sci., 13: 33–44.]Search in Google Scholar
[vander Pijl R., Strom J., Conijn S., Lindqvist J., Labeit S., Granzier H., Ottenheijm C.(2018). Titin-based mechanosensing modulates muscle hypertrophy. J. Cachexia Sarcopenia Muscle, 9: 947–961.]Search in Google Scholar
[Wang L., Wang S., Li W.(2012). RSeQC: Quality control of RNA-seq experiments. Bioinformatics, 28: 2184–2185.]Search in Google Scholar
[Wilson R.C., Doudna J.A.(2013). Molecular mechanisms of RNA interference. Annu. Rev. Biophys., 42: 217–239.]Search in Google Scholar
[Wu M.P., Chang N.C., Chung C.L., Chiu W.C., Hsu C.C., Chen H.M., Sheu J.R., Jayakumar T., Chou D.S., Fong T.H.(2018). Analysis of titin in red and white muscles: crucial role on muscle contractions using a fish model. Biomed Res. Int., https://doi.org/10.1155/2018/581687510.1155/2018/5816875627649430581860]Search in Google Scholar
[Ye R.S., Li M., Chen T., Wei X.C., Qi Q.E., Cheng X., Li C.Y., Jiang Q.Y., Xi Q.Y., Zhang Y.L.(2018). miRNAome, mRNAome and degradome analysis of Tibetan minipigs anterior pituitary. Gen. Comp. Endocrinol., 259: 104–114.]Search in Google Scholar
[Zeng P., Han W., Li C., Li H., Zhu D., Zhang Y., Liu X.(2016). MiR-378 attenuates muscle regeneration by delaying satellite cell activation and differentiation in mice. Acta Biochim. Biophys. Sin. (Shanghai), 48: 833–839.]Search in Google Scholar
[Zhai J., Arikit S., Simon S.A., Kingham B.F., Meyers B.C.(2014). Rapid construction of parallel analysis of RNA end (PARE) libraries for Illumina sequencing. Methods, 67: 84–90.]Search in Google Scholar
[Zhi G., Ryder J.W., Huang J., Ding P., Chen Y., Zhao Y., Kamm K.E., Stull J.T.(2005). Myosin light chain kinase and myosin phosphorylation effect frequency-dependent potentiation of skeletal muscle contraction. Proc. Natl. Acad. Sci. USA, 102: 17519–17524.]Search in Google Scholar