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Science 296(5573): 1653–1655.\nBaeuerle PA and Baltimore D (1996) NF-kappa B: ten years after. Cell 87(1): 13–20.\nBaeuerle PA and Henkel T (1994) Function and activation of NF-kappa B in the immune system. Annu. Rev. Immunol. 12: 141–179.\nBaldwin AS, Jr. (1996) The NF-kappa B and I kappa B proteins: new discoveries and insights. Annu. Rev. Immunol. 14: 649–683.\nBradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem 72: 248–254.\nCetkovic-Cvrlje M and Eizirik DL (1994) TNF-alpha and IFN-gamma potentiate the deleterious effects of IL-1 beta on mouse pancreatic islets mainly via generation of nitric oxide. Cytokine 6(4): 399–406.\nCorbett JA and McDaniel ML (1995) Intraislet release of interleukin 1 inhibits beta cell function by inducing beta cell expression of inducible nitric oxide synthase. J. Exp. Med. 181(2): 559–568.\nCottet S, Dupraz P, Hamburger F, Dolci W, Jaquet M and Thorens B (2001) SOCS-1 protein prevents Janus Kinase\u002FSTAT-dependent inhibition of beta cell insulin gene transcription and secretion in response to interferon-gamma. J. Biol. Chem. 276(28): 25862–25870.\nDarville MI and Eizirik DL (1998) Regulation by cytokines of the inducible nitric oxide synthase promoter in insulin-producing cells. Diabetologia 41(9): 1101–1108.\nDonath MY, Boni-Schnetzler M, Ellingsgaard H and Ehses JA (2009) Islet inflammation impairs the pancreatic beta-cell in type 2 diabetes. Physiology (Bethesda) 24: 325–331.\nDuan XJ, Zhang WW, Li XM and Wang BE (2006) Evaluation of antioxidant property of extrct and fractions obtained from a red alga, Polysiphonia urceolata Food Chemistry 95: 37–43.\nEizirik DL, Flodstrom M, Karlsen AE and Welsh N (1996) The harmony of the spheres: inducible nitric oxide synthase and related genes in pancreatic beta cells. Diabetologia 39(8): 875–890.\nEldor R, Yeffet A, Baum K, Doviner V, Amar D, Ben-Neriah Y, Christofori G, Peled A, Carel JC and et al. (2006) Conditional and specific NF-kappaB blockade protects pancreatic beta cells from diabetogenic agents. Proc. Natl. Acad. Sci. U.S.A. 103(13): 5072–5077.\nFlodstrom-Tullberg M, Yadav D, Hagerkvist R, Tsai D, Secrest P, Stotland A and Sarvetnick N (2003) Target cell expression of suppressor of cytokine signaling-1 prevents diabetes in the NOD mouse. Diabetes 52(11): 2696–2700.\nGreen LC, Wagner DA, Glogowski J, Skipper PL, Wishnok JS and Tannenbaum SR (1982) Analysis of nitrate, nitrite, and [15N]nitrate in biological fluids. Anal. Biochem. 126(1): 131–138.\nHeitmeier MR, Scarim AL and Corbett JA (1997) Interferon-gamma increases the sensitivity of islets of Langerhans for inducible nitric-oxide synthase expression induced by interleukin 1. J Biol Chem. 272(21): 13697–13704.\nHeitmeier MR, Scarim AL and Corbett JA (1999) Prolonged STAT1 activation is associated with interferon-gamma priming for interleukin-1-induced inducible nitric-oxide synthase expression by islets of Langerhans. J. Biol. Chem. 274(41): 29266–29273.\nHu X, Herrero C, Li WP, Antoniv TT, Falck-Pedersen E, Koch AE, Woods JM, Haines GK and Ivashkiv LB (2002) Sensitization of IFN-gamma Jak-STAT signaling during macrophage activation. Nat. Immunol. 3(9): 859–866.\nIgaz P, Toth S and Falus A (2001) Biological and clinical significance of the JAK-STAT pathway; lessons from knockout mice. Inflamm. Res. 50(9): 435–441.\nIliopoulou D, Vagias C, Harvala C and Roussis V (2002) C(15) Acetogenins from the red alga Laurencia obtusa. Phytochemistry 59(1): 111–116.\nKim EK, Kwon KB, Lee JH, Park BH, Park JW, Lee HK, Jhee EC and Yang JY (2007) Inhibition of cytokine-mediated nitric oxide synthase expression in rat insulinoma cells by scoparone. Biol Pharm. Bull. 30(2): 242–246.\nKim EK, Kwon KB, Song MY, Han MJ, Lee JH, Lee YR, Ryu DG, Park BH and Park JW (2007) Flavonoids protect against cytokine-induced pancreatic beta-cell damage through suppression of nuclear factor kappaB activation. Pancreas 35(4): e1–9.\nKurihara H, Mitani T, Kawabata J and Takahashi K (1999) Two new bromophenols from the red alga Odonthalia corymbifera. J. Nat. Prod 62(6): 882–884.\nKwon KB, Kim EK, Jeong ES, Lee YH, Lee YR, Park JW, Ryu DG and Park BH (2006) Cortex cinnamomi extract prevents streptozotocin- and cytokine-induced beta-cell damage by inhibiting NF-kappaB. World J. Gastroenterol. 12(27): 4331–4337.\nLi X, Kwak OS and Jin H (1994) A survey of medicinal seaweed resources in Liaodong Peninsula. Chinese Marine Pharmaceut. Sci. 51: 50–54.\nLim CS, Jin DQ, Sung JY, Lee JH, Choi HG, Ha I and Han JS (2006) Antioxidant and anti-inflammatory activities of the methanolic extract of Neorhodomela aculeata in Hippocampal and Microglial Cells. Biol. Pharm. Bull. 29(6): 1212–1216.\nMabley JG, Hasko G, Liaudet L, Soriano F, Southan GJ, Salzman AL and Szabo C (2002) NFkappaB1 (p50)-deficient mice are not susceptible to multiple low-dose streptozotocin-induced diabetes. J. Endocrinol. 173(3): 457–464.\nMandrup-Poulsen T (1996) The role of interleukin-1 in the pathogenesis of IDDM. Diabetologia 39(9): 1005–1029.\nMatsuda T, Ferreri K, Todorov I, Kuroda Y, Smith CV, Kandeel F and Mullen Y (2005) Silymarin protects pancreatic beta-cells against cytokine-mediated toxicity: implication of c-Jun NH2-terminal kinase and janus kinase\u002Fsignal transducer and activator of transcription pathways. Endocrinology 146(1): 175–185.\nMay MJ and Ghosh S (1998) Signal transduction through NF-kappa B. Immunol. Today 19(2): 80–88.\nNossal GJ, Herold KC and Goodnow CC (1992) Autoimmune tolerance and type 1 (insulin-dependent) diabetes mellitus. Diabetologia 35Suppl 2: S49–59.\nPark BH and Park JW (2001) The protective effect of Amomum xanthoides extract against alloxan-induced diabetes through the suppression of NFkappaB activation. Exp. Mol. Med. 33(2): 64–68.\nPark BH, Rho HW, Park JW, Cho CG, Kim JS, Chung HT and Kim HR (1995) Protective mechanism of glucose against alloxan-induced pancreatic beta-cell damage. Biochem. Biophys. Res. Commun. 210(1): 1–6.\nPark JS, Lee EJ, Lee JC, Kim WK and Kim HS (2007) Anti-inflammatory effects of short chain fatty acids in IFN-gamma-stimulated RAW 264.7 murine macrophage cells: involvement of NF-kappaB and ERK signaling pathways. Int. Immunopharmacol. 7(1): 70–77.\nPhillips DR and Carlyle GA (1981) The effect of physiological levels of divalent metal ions on the interaction of daunomycin with DNA: evidence of a ternary daunomycin-Cu2+-DNA complex. Biochem. Pharmacol. 30(14): 2021–2024.\nRamana CV, Gil MP, Schreiber RD and Stark GR (2002) Stat1-dependent and -independent pathways in IFN-gamma-dependent signaling. Trends Immunol. 23(2): 96–101.\nSong MY, Kim EK, Lee HJ, Park JW, Ryu DG, Kwon KB and Park BH (2009) Fructus xanthii extract protects against cytokine-induced damage in pancreatic beta-cells through suppression of NF-kappaB activation. Int. J. Mol. Med. 23(4): 547–553.\nSong MY, Kim KA, Lee SY, Kim EK, Lv N, Lee JH, Park JW, Ryu DG, Kwon KB and Park BH (2007) Radix asari extract protects pancreatic beta cells against cytokine-induced toxicity:implication of the NF-kappaB-iNOS signaling cascade. Int. J. Mol. Med. 20(5): 769–775.\nSorli CH, Zhang HJ, Armstrong MB, Rajotte RV, Maclouf J and Robertson RP (1998) Basal expression of cyclooxygenase-2 and nuclear factor-interleukin 6 are dominant and coordinately regulated by interleukin 1 in the pancreatic islet. Proc. Natl. Acad. Sci. U.S.A. 95(4): 1788–1793.\nSouthern C, Schulster D and Green IC (1990) Inhibition of insulin secretion by interleukin-1 beta and tumour necrosis factor-alpha via an L-arginine-dependent nitric oxide generating mechanism. FEBS Lett. 276(1–2): 42–44.\nThanos D and Maniatis T (1995) NF-kappa B: a lesson in family values. Cell 80(4): 529–532.\nXu N, Fan X, Yan X, Li X, Niu R and Tseng CK (2003) Antibacterial bromophenols from the marine red alga Rhodomela confervoides. Phytochemistry 62(8): 1221–1224.\nZhang SY, Park KW, Oh S, Cho HJ, Park JS, Cho YS, Koo BK, Chae IH, Choi DJ and Kim HS et al. (2005) NF-kappaB decoy potentiates the effects of radiation on vascular smooth muscle cells by enhancing apoptosis. Exp. Mol. Med. 37(1): 18–26.\nZhao J, Fan X, Wang S, Li S, Shang S, Yang Y, Xu N, Lu Y and Shi J (2004) Bromophenol derivatives from the red alga Rhodomela confervoides. J. Nat. 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N. aculeata also attenuated the levels of phosphorylated signal transducer and activator of transcription (STAT)-1 and -3 in whole RIN cells as well as the nuclear translocation of the STAT proteins. Therefore, the cytoprotective effects of N. aculeata were possibly mediated through the suppression of NF-κB and STAT pathways. 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Biol Rev 88:49–61",{"doi":730},"10.1111\u002Fj.1469-185X.2012.00242.x",{"id":20,"text":732,"url":20,"identifiers":733},"Bockarie MJ, Taylor MJ, Gyapong JO (2009) Current practices in the management of lymphatic filariasis. Expert Rev Anti Infect Ther 7:595–605",{"doi":734},"10.1586\u002Feri.09.36",{"id":20,"text":736,"url":20,"identifiers":737},"Bulmer M (1991) The selection-mutation-drift theory of synonymous codon usage. Genetics 129:897–907",{"doi":738},"10.1093\u002Fgenetics\u002F129.3.897",{"id":20,"text":740,"url":20,"identifiers":741},"Chen H, Sun S, Norenburg JL, Sundberg P (2014) Mutation and selection cause codon usage and bias in mitochondrial genomes of ribbon worms (Nemertea). PLoS One 9:e85631",{"doi":742},"10.1371\u002Fjournal.pone.0085631",{"id":20,"text":744,"url":20,"identifiers":745},"Francino MP, Ochman H (1999) Isochores result from mutation not selection. Nature 400:30–31",{"doi":746},"10.1038\u002F21804",{"id":20,"text":748,"url":20,"identifiers":749},"Gissi C, Iannelli F, Pesole G (2008) Evolution of the mitochondrial genome of Metazoa as exemplified by comparison of congeneric species. Heredity 101:301–320",{"doi":750},"10.1038\u002Fhdy.2008.62",{"id":20,"text":752,"url":20,"identifiers":753},"Gupta S, Ghosh T (2001) Gene expressivity is the main factor in dictating the codon usage variation among the genes in Pseudomonas aeruginosa. Gene 273:63–70",{"doi":754},"10.1016\u002FS0378-1119(01)00576-5",{"id":20,"text":756,"url":20,"identifiers":757},"Ingvarsson PK (2007) Gene expression and protein length influence codon usage and rates of sequence evolution in Populus tremula. Mol Biol Evol 24:836–844",{"doi":758},"10.1093\u002Fmolbev\u002Fmsl212",{"id":20,"text":760,"url":20,"identifiers":761},"Jenkins GM, Holmes EC (2003) The extent of codon usage bias in human RNA viruses and its evolutionary origin. Virus Res 92:1–7",{"doi":762},"10.1016\u002FS0168-1702(02)00309-X",{"id":20,"text":764,"url":20,"identifiers":765},"Manguin S, Bangs M, Pothikasikorn J, Chareonviriyaphap T (2010) Review on global co-transmission of human Plasmodium species and Wuchereria bancrofti by Anopheles mosquitoes. Infect Genet Evol 10:159–177",{"doi":766},"10.1016\u002Fj.meegid.2009.11.014",{"id":20,"text":768,"url":20,"identifiers":769},"Melrose WD (2002) Lymphatic filariasis: new insights into an old disease. Int J Parasitol 32:947–960",{"doi":770},"10.1016\u002FS0020-7519(02)00062-0",{"id":20,"text":772,"url":20,"identifiers":773},"Plotkin JB, Kudla G (2011) Synonymous but not the same: the causes and consequences of codon bias. Nat Rev Genet 12:32–42",{"doi":774},"10.1038\u002Fnrg2899",{"id":20,"text":776,"url":20,"identifiers":777},"Powell JR, Moriyama EN (1997) Evolution of codon usage bias in Drosophila. Proc Natl Acad Sci USA 94:7784–7790",{"doi":778},"10.1073\u002Fpnas.94.15.7784",{"id":20,"text":780,"url":20,"identifiers":781},"Richter C, Park JW, Ames BN (1988) Normal oxidative damage to mitochondrial and nuclear DNA is extensive. Proc Natl Acad Sci USA 85:6465–6467",{"doi":782},"10.1073\u002Fpnas.85.17.6465",{"id":20,"text":784,"url":20,"identifiers":785},"Sharp PM, Li WH (1986a) Codon usage in regulatory genes in Escherichia coli does not reflect selection for ‘rare’codons. Nucleic Acids Res 14:7737–7749",{"doi":786},"10.1093\u002Fnar\u002F14.19.7737",{"id":20,"text":788,"url":20,"identifiers":789},"Sharp PM, Li WH (1986b) An evolutionary perspective on synonymous codon usage in unicellular organisms. J Mol Evol 24:28–38",{"doi":790},"10.1007\u002FBF02099948",{"id":20,"text":792,"url":20,"identifiers":793},"Sharp PM, Li WH (1987) The codon adaptation index-a measure of directional synonymous codon usage bias, and its potential applications. Nucleic Acids Res 15:1281–1295",{"doi":794},"10.1093\u002Fnar\u002F15.3.1281",{"id":20,"text":796,"url":20,"identifiers":797},"Sharp PM, Matassi G (1994) Codon usage and genome evolution. Curr Opin Genet Dev 4:851–860",{"doi":798},"10.1016\u002F0959-437X(94)90070-1",{"id":20,"text":800,"url":20,"identifiers":801},"Stock S (2009) Molecular approaches and the taxonomy of insect–parasitic and pathogenic nematodes. Insect pathogens: molecular approaches and techniques. Cabi Publishing—CABI, Wallingford, pp 71–100",{"doi":802},"10.1079\u002F9781845934781.0071",{"id":20,"text":804,"url":20,"identifiers":805},"Sun Z, Wan DG, Murphy RW, Ma L, Zhang XS, Huang DW (2009) Comparison of base composition and codon usage in insect mitochondrial genomes. Genes Genom 31:65–71",{"doi":806},"10.1007\u002FBF03191139",{"id":20,"text":808,"url":20,"identifiers":809},"Taylor RW, Turnbull DM (2005) Mitochondrial DNA mutations in human disease. Nat Rev Genet 6:389–402",{"doi":810},"10.1038\u002Fnrg1606",{"id":20,"text":812,"url":20,"identifiers":813},"Uddin A, Chakraborty S (2014) Mutation pressure dictates codon usage pattern in mitochondrial ATP8 in some mammalian species. Int J Sci Res 3:1206–1212",{},{"id":20,"text":815,"url":20,"identifiers":816},"Wang HC, Hickey DA (2007) Rapid divergence of codon usage patterns within the rice genome. BMC Evol Biol 7:S6",{"doi":817},"10.1186\u002F1471-2148-7-S1-S6",{"id":20,"text":819,"url":20,"identifiers":820},"Wei L, He J, Jia X, Qi Q, Liang Z, Zheng H, Ping Y, Liu S, Sun J (2014) Analysis of codon usage bias of mitochondrial genome in Bombyx mori and its relation to evolution. BMC Evol Biol 14:262",{"doi":821},"10.1186\u002Fs12862-014-0262-4",{"id":20,"text":823,"url":20,"identifiers":824},"Wright F (1990) The ‘effective number of codons’ used in a gene. Gene 87:23–29",{"doi":825},"10.1016\u002F0378-1119(90)90491-9",{"id":20,"text":827,"url":20,"identifiers":828},"Yadav MK, Swati D (2012) Comparative genome analysis of six malarial parasites using codon usage bias based tools. 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Ann Stat 29:1165–1188\nBerná G, Robles P, Micol JL (1999) A mutational analysis of leaf morphogenesis in Arabidopsis thaliana. Genetics 152:729–742\nChen H, Zha J, Liang X, Bu J, Wang M, Wang Z (2013) Sequencing and de novo assembly of the Asian clam (Corbicula fluminea) transcriptome using the Illumina GAIIx method. PLoS ONE 8:e79516\nChen Y, Mao Y, Liu H, Yu F, Li S, Yin T (2014) Transcriptome analysis of differentially expressed genes relevant to variegation in peach flowers. PLoS One 9:e90842\nConesa A, Götz S, García-Gómez J, Terol J, Talón M, Robles M (2005) Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics 21:3674–3676\nCosgrove DJ (2000) Expansive growth of plant cell walls. Plant Physiol Biochem 38:109–124\nCosgrove DJ, Durachko DM (1994) Autolysis and extension of isolated walls from growing cucumber hypocotyls. J Exp Bot 45:1711–1719\nCosgrove DJ, Li LC, Cho H-T, Hoffmann-Benning S, Moore RC, Blecker D (2002) The growing world of expansins. Plant Cell Physiol 43:1436–1444\nGrabherr MG, Haas BJ, Moran Y, Levin JZ, Thompson DA, Ido A, Xian A, Lin F, Raktima R, Qiandong Z (2011) Full-length transcriptome assembly from RNA-Seq data without a reference genome. Nat Biotechnol 29:644–652\nHew CS (2001) Ancient Chinese orchid cultivation: a fresh look at an age-old practice. Sci Hortic 87:1–10\nIchihashi Y, Horiguchi G, Gleissberg S, Tsukaya H (2010) The bHLH transcription factor SPATULA controls final leaf size in Arabidopsis thaliana. Plant Cell Physiol 51:252–261\nJones AM, Im KH, Savka MA, Wu MJ, Dewitt NG, Shillito R, Binns AN (1998) Auxin-dependent cell expansion mediated by overexpressed auxin-binding protein 1. Science 282:1114–1117\nKim HJ, Lee JS, Park KW, Kim SS (2013) New cultivar ‘White Edge’ of leaf variegated Hosta minor. Korean J Plant Resources 26:516–518\nLee Y, Choi D, Kende H (2001) Expansins: ever-expanding numbers and functions. Curr Opin Plant Biol 4:527–532\nLi Y, Jones L, McQueen-Mason S (2003) Expansins and cell growth. Curr Opin Plant Biol 6:603–610\nLomax J (2005) Get ready to GO! A biologist's guide to the gene ontology. Brief Bioinform 6:298–304\nLuo Z, Yang Z, Zhong B, Li Y, Xie R, Zhao F, Ling Y, He G (2007) Genetic analysis and fine mapping of a dynamic rolled leaf gene, RL10(t), in rice (Oryza sativa L.). Genome 50:811–817\nMcqueen-Mason S, Durachko DM, Cosgrove DJ (1992) Two endogenous proteins that induce cell wall extension in plants. Plant Cell 4:1425–1433\nMcqueen-Mason SJ, Fry SC, Durachko DM, Cosgrove DJ (1993) The relationship between xyloglucan endotransglycosylase and in vitro cell wall extension in cucumber hypocotyls. Planta 190:327–331\nMortazavi A, Williams BA, Mccue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5:621–628\nNishihara M, Yamada E, Saito M, Fujita K, Takahashi H, Nakatsuka T (2014) Molecular characterization of mutations in white-flowered torenia plants. BMC Plant Biol 14:1–13\nPérez-Pérez JM, Ponce MR, Micol JL (2001) ULTRACURVATA1, a SHAGGY-like Arabidopsis gene required for cell elongation. Int J Dev Biol 45:S51–S52\nPérez-Pérez JM, MaR Ponce, Micol JL (2002) The UCU1 Arabidopsis gene encodes a SHAGGY\u002FGSK3-like kinase required for cell expansion along the proximodistal axis. Dev Biol 242:161–173\nQiu WM, Zhu AD, Yao W, Chai LJ, Ge XX, Deng XX, Guo WW (2012) Comparative transcript profiling of gene expression between seedless Ponkan mandarin and its seedy wild type during floral organ development by suppression subtractive hybridization and cDNA microarray. BMC Genom 13:157\nRobles P, Micol J (2001) Genome-wide linkage analysis of Arabidopsis genes required for leaf development. Mol Genet Genomics 266:12–19\nSara Z, Alberto F, Enrico G, Luciano X, Marianna F, Giovanni M, Diana B, Mario P, Massimo D (2010) Characterization of transcriptional complexity during berry development in Vitis vinifera using RNA-Seq. Plant Physiol 152:1787–1795\nSchunmann PHD, Smith RC, Lang V, Matthews PR, Chandler PM (1997) Expression of XET-related genes and its relation to elongation in leaves of barley (Hordeum vulgare L.). Plant, Cell Environ 20:1439–1450\nShao YJ, Chen ZX, Zhang YF, Chen EH, Ding Cheng QI, Miao J, Pan XB (2005) One major QTL mapping and physical map construction for rolled leaf in rice. Acta Genet Sin 32:501–506 (in Chinese with English Abstract)\nSingh JP, Arora RS, Dohare SR, Sengupta K (1970) A spontaneous mutant for flower colour and shape in a white flowering dahlia. Euphytica 19:261–262\nTasaki K, Nakatsuka A, Cheon KS, Kobayashi N (2015) Inheritance of the narrow leaf mutation in traditional Japanese evergreen azaleas. Euphytica 206:649–656\nWang B, Li Z, Yu C (2005) Progress on orchid breeding Study. Acta Hort Sin 32:551–556\nWang HZ, Wu ZX, Lu JJ, Shi NN, Zhao Y, Zhang ZT, Liu JJ (2009) Molecular diversity and relationships among Cymbidium goeringii cultivars based on inter-simple sequence repeat (ISSR) markers. Genetica 136:391–399\nXie F, Burklew C, Yang Y, Liu M, Xiao P, Zhang B, Qiu D (2012) De novo sequencing and a comprehensive analysis of purple sweet potato (Impomoea batatas L.) transcriptome. Planta 236:101–113\nYang T, Poovaiah B (2000) Molecular and biochemical evidence for the involvement of calcium\u002Fcalmodulin in auxin action. J Biol Chem 275:3137\nYang C, Li D, Liu X, Ji C, Hao L, Zhao X, Li X, Chen C, Cheng Z, Zhu L (2014) OsMYB103L, an R2R3-MYB transcription factor, influences leaf rolling and mechanical strength in rice (Oryza sativa L.). BMC Plant Biol 14:158\nYe J, Fang L, Zheng H, Zhang Y, Chen J, Zhang Z, Wang J, Li S, Li R, Bolund L, Wang J (2006) WEGO: a web tool for plotting GO annotations. Nucleic Acids Res 34:W293–W297\nYoun-Sung K, Kim S-G, Park J-E, Park H-Y (2006) A membrane-bound NAC transcription factor regulates cell division in Arabidopsis. Plant Cell 18:3132–3144\nZhang C, Wang Y, Fu J, Dong L, Gao S, Du D (2014a) Transcriptomic analysis of cut tree peony with glucose supply using the RNA-Seq technique. Plant Cell Rep 33:111–129\nZhang YJ, Wang XJ, Wu JX, Chen SY, Chen H, Chai LJ, Yi HL (2014b) Comparative transcriptome analyses between a spontaneous late-ripening sweet orange mutant and its wild type suggest the functions of ABA, sucrose and JA during citrus fruit ripening. PLoS ONE 9:e116056\nZhang C, Wang Y, Fu J, Bao Z, Zhao H (2016) Transcriptomic analysis and carotenogenic gene expression related to petal coloration in Osmanthus fragrans ‘Yanhong Gui’. Trees. doi:10.1007\u002Fs00468-016-1359-8\nZhao D, Jiang Y, Ning C, Meng J, Lin S, Ding W, Tao J (2014) Transcriptome sequencing of a chimaera reveals coordinated expression of anthocyanin biosynthetic genes mediating yellow formation in herbaceous peony (Paeonia lactiflora Pall.). BMC Genom 15:689\nZhou H-G, Wang W-T, Qiao Z-Q, Wang Y-J, Wang H-C, Wang F-L, Huang Z-F, He Z-M (2015) A new chrysanthemum cultivar ‘Binfen’. Acta Hort Sin 42:201–202 (in Chinese with English Abstract)",{"EN":840},"Normal and the spontaneous spirally rolled leaves of Cymbidium goeringii var. longibracteatum were used for RNA sequencing analyses using the Illumina paired-end sequencing technique to figure out the differently-expressed genes in two samples. About 5.65 and 4.82 Gb sequencing data of raw reads were obtained from 2 cDNA libraries of normal and the spirally rolled leaves respectively. After data filtering, quality checks and de novo assembly, a total of 48,935 unigenes with an average sequence length of 820 nt were generated. In addition, the transcriptome change in normal and the spirally rolled leaves was investigated. With non-redundant annotation, 219 differentially expressed genes (DEGs) are identified, with 147 up-regulated genes and 72 down-regulated genes. Out of these DEGs, 21 DEGs (9.59 %) were involved in cell wall modeling enzymes, such as expansin, xyloglucan endo-transglycosylase, pectate lyase, cell wall-associated hydrolase. Besides, other DEGs were predominantly classified as genes involved in transcription factor and signal sense and transduction signaling. This study presents the first comprehensive characterization of the leave transcriptomes of Cymbidium goeringii var. longibracteatum. This study not only gave us valuable sequence resources of this species, but also provided theoretical foundation for cultivar breeding of leaf mutation in C. goeringii var. longibracteatum.",{"EN":842},"Comparative transcriptome analysis of differentially expressed genes between the curly and normal leaves of Cymbidium goeringii var. 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L, Balasch JC, Espinosa E, Josa A, Tort L (2004) Physiological responses in Eurasian perch (Perca fluviatilis, L.) subjected to stress by transport and handling. Aquaculture 237:167–178\nAlves RN, Cordeiro O, Silva TS, Richard N, de Vareilles M, Marino G, Di Marco P, Rodrigues PM, Conceicao LEC (2010) Metabolic molecular indicators of chronic stress in gilthead seabream (Sparus aurata) using comparative proteomics. Aquaculture 299:57–66\nAstner I, Schulze JO, van den Heuvel J, Jahn D, Schubert W-D, Heinz DW (2005) Crystal structure of 5-aminolevulinate synthase, the first enzyme of heme biosynthesis, and its link to XLSA in humans. EMBO 24:3166–3177\nBiagioli M, Pinto M, Cesselli D, Zaninello M, Lazarevic D, Roncaglia P, Simone R, Vlachouli C, Plessy C, Bertin N et al (2009) Unexpected expression of α- and β-globin in mesencephalic dopaminergic neurons and glial cells. Proc Natl Acad Sci USA 106:15454–15459\nCampo S, Nastasi G, D’Ascola A, Campo GM, Avenoso A, Traina P, Calatroni A, Burrascano E, Ferlazzo A, Lupidi G et al (2008) Hemoglobin system of Sparus aurata: changes in fishes farmed under extreme conditions. Sci Total Environ 403:148–153\nChoi CY (2010) Environmental stress-related gene expression and blood physiological responses in olive flounder (Paralichthys olivaceus) exposed to osmotic and thermal stress. Anim Cells Systems 14:17–23\nCossins AR, Williams DR, Foulkes NS, Berenbrink M, Kipar A (2009) Diverse cell-specific expression of myoglobin isoforms in brain, kidney, gill and liver of the hypoxia-tolerant carp and zebrafish. J Exp Biol 212:627–638\nEvrard E, Devaux A, Bony S, Burgeot T, Riso R, Budzinski H, Le Du M, Quiniou L, Laroche J (2010) Responses of the European flounder Platichthys flesus to the chemical stress in estuaries: load of contaminants, gene expression, cellular impact and growth rate. Biomarkers 15:111–127\nGiger T, Excoffier L, Amstutz U, Day PJR, Champigneulle A, Hansen MM, Kelso J, LargiadÈr CR (2008) Population transcriptomics of life-history variation in the genus Salmo. Mol Ecol 17:3095–3108\nGingerich W, Pityer R (1989) Comparison of whole body and tissue blood volumes in rainbow trout (Salmo gairdneri) with I bovine serum albumin and Cr-erythrocyte tracers. Fish Physiol Biochem 6:39–47\nGracey AY, Troll JV, Somero GN (2001) Hypoxia-induced gene expression profiling in the euryoxic fish Gillichthys mirabilis. Proc Natl Acad Sci USA 98:1993–1998\nHaase VH (2008) Hemoglobin in the Kidney: breaking with traditional dogma. J Am Soc Nephrol 19:1440–1441\nHammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron 4:9\nHemmer-Hansen J, Nielsen EE, Frydenberg J, Loeschcke V (2007a) Adaptive divergence in a high gene flow environment: Hsc70 variation in the European flounder (Platichthys flesus L.). Heredity 99:592–600\nHemmer-Hansen J, Nielsen EE, Gronkjaer P, Loeschcke V (2007b) Evolutionary mechanisms shaping the genetic population structure of marine fishes; lessons from the European flounder (Platichthys flesus L.). Mol Ecol 16:3104–3118\nJensen FB, Lecklin T, Busk M, Bury NR, Wilson RW, Wood CM, Grosell M (2002) Physiological impact of salinity increase at organism and red blood cell levels in the European flounder (Platichthys flesus). J Exp Mar Biol Ecol 274:159–174\nKammerer BD, Cech JJ, Kultz D (2010) Rapid changes in plasma cortisol, osmolality, and respiration in response to salinity stress in tilapia (Oreochromis mossambicus). Comp Biochem Physiol A 157:260–265\nKnutsen H, Jorde PE, André C, Stenseth NC (2003) Fine-scaled geographical population structuring in a highly mobile marine species: the Atlantic cod. Mol Ecol 12:385–394\nLarsen PF, Nielsen EE, Williams TD, Hemmer-Hansen J, Chipman JK, Kruhoffer M, Gronkjaer P, George SG, Dyrskjot L, Loeschcke V (2007) Adaptive differences in gene expression in European flounder (Platichthys flesus). Mol Ecol 16:4674–4683\nLarsen PF, Nielsen EE, Koed A, Thomsen DS, Olsvik PA, Loeschcke V (2008a) Interpopulation differences in expression of candidate genes for salinity tolerance in winter migrating anadromous brown trout (Salmo trutta L.). BMC Genet 9:12\nLarsen PF, Nielsen EE, Williams TD, Loeschcke V (2008b) Intraspecific variation in expression of candidate genes for osmoregulation, heme biosynthesis and stress resistance suggests local adaptation in European flounder (Platichthys flesus). Heredity 101:247–259\nLarsen PF, Schulte PM, Nielsen EE (2011) Gene expression analysis for the identification of selection and local adaptation in fishes. J Fish Biol 78:1–22\nLarsen PF, Nielsen EE, Meier K, Olsvik PA, Hansen MM, Loeschcke V (2012) Differences in Salinity Tolerance and Gene Expression Between Two Populations of Atlantic Cod (Gadus morhua) in Response to Salinity Stress. Biochem Gen 59:366–454\nLivak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(T)(-Delta Delta C) method. Methods 25:402–408\nLundgreen K, Kiilerich P, Tipsmark C, Madsen S, Jensen F (2008) Physiological response in the European flounder (Platichthys flesus) to variable salinity and oxygen conditions. Comp Biochem Physiol B 178:909–915\nMarchand J, Evrard E, Guinand B, Cachot J, Quiniou L, Laroche J (2010) Genetic polymorphism and its potential relation to environmental stress in five populations of the European flounder Platichthys flesus, along the French Atlantic coast. Mar Environ Res 70:201–209\nMitchell-Olds T, Schmitt J (2006) Genetic mechanisms and evolutionary significance of natural variation in Arabidopsis. Nature 441:947–952\nMontero D, Izquierdo MS, Tort L, Robaina L, Vergara JM (1999) High stocking density produces crowding stress altering some physiological and biochemical parameters in gilthead seabream, Sparus aurata juveniles. Fish Physiol Biochem 20:53–60\nNielsen EE, Kenchington E (2001) A new approach to prioritizing marine fish and shellfish populations for conservation. Fish Fish 2:328–343\nNielsen EE, Gronkjaer P, Meldrup D, Paulsen H (2005) Retention of juveniles within a hybrid zone between North Sea and Baltic Sea Atlantic cod (Gadus morhua). Can J Fish Aquat Sci 62:2219–2225\nNielsen EE, Hemmer-Hansen J, Larsen PF, Bekkevold D (2009) Population genomics of marine fishes: identifying adaptive variation in space and time. Mol Ecol 18:3128–3150\nNishi H, Inagi R, Kato H, Tanemoto M, Kojima I, Son D, Fujita T, Nangaku M (2008) Hemoglobin is expressed by mesangial cells and reduces oxidant stress. J Am Soc Nephrol 19:1500–1508\nRengmark AH, Slettan A, Lee WJ, Lie Ø, Lingaas F (2007) Identification and mapping of genes associated with salt tolerance in tilapia. J Fish Biol 71:409–422\nRise ML, Douglas SE, Sakhrani D, Williams J, Ewart KV, Rise M, Davidson WS, Koop BF, Devlin RH (2006) Multiple microarray platforms utilized for hepatic gene expression profiling of GH transgenic coho salmon with and without ration restriction. J Mol Endo 37:259–282\nRoche H, Bogé G (1996) Fish blood parameters as a potential tool for identification of stress caused by environmental factors and chemical intoxication. Mar Environ Res 41:27–43\nRoesner A, Mitz SA, Hankeln T, Burmester T (2008) Globins and hypoxia adaptation in the goldfish, Carassius auratus. FEBS J 275:3633–3643\nRozen S, Skaletsky H (2000) Primer3 on the WWW for general users and for biologist programmers. Methods Mol Biol 132:365–386\nSeear P, Carmichael S, Talbot R, Taggart J, Bron J, Sweeney G (2010) Differential gene expression during smoltification of Atlantic Salmon (Salmo salar L.): a first large-scale microarray study. Mar Biotechnol 12:126–140\nSørensen JG, Kristensen TN, Loeschcke V (2003) The evolutionary and ecological role of heat shock proteins. Ecol Let 6:1025–1037\nTipsmark CK, Luckenbach JA, Madsen SS, Kiilerich P, Borski RJ (2008) Osmoregulation and expression of ion transport proteins and putative claudins in the gill of Southern Flounder (Paralichthys lethostigma). Comp Biochem Physiol A 150:265–273\nTomanek L (2010) Variation in the heat shock response and its implication for predicting the effect of global climate change on species’ biogeographical distribution ranges and metabolic costs. J Exp Biol 213:971–979\nUllal AJ, Wayne Litaker R, Noga EJ (2008) Antimicrobial peptides derived from hemoglobin are expressed in epithelium of channel catfish (Ictalurus punctatus, Rafinesque). Dev Comp Immunol 32:1301–1312\nWaples RS (1998) Separating the wheat from the chaff: patterns of genetic differentiation in high gene flow species. J Hered 89:438–450\nWard RD, Woodwark M, Skibinski DOF (1994) A comparison of genetic diversity levels in marine, freshwater, and anadromous fishes. J Fish Biol 44:213–232\nWhitehead A, Crawford DL (2006) Neutral and adaptive variation in gene expression. Proc Natl Acad Sci USA 103:5425–5430\nWintz H, Yoo LJ, Loguinov A, Wu Y–Y, Steevens JA, Holland RD, Beger RD, Perkins EJ, Hughes O, Vulpe CD (2006) Gene expression profiles in fathead minnow exposed to 2,4-DNT: correlation with toxicity in mammals. Toxicol Sci 94:71–82",{"VI":945,"EN":946},"Các phân tích di truyền gần đây về các gen ứng cử viên và biểu hiện gen trong các loài cá biển đã cung cấp bằng chứng cho sự thích nghi địa phương nhằm đối phó với sự khác biệt môi trường, bất chấp việc thiếu tín hiệu mạnh về cấu trúc quần thể từ các dấu hiệu di truyền trung lập thông thường. Trong nghiên cứu này, biểu hiện của các gen chuỗi alpha và beta của huyết sắc tố đã được nghiên cứu ở cá đục châu Âu Platichthys flesus được cấy ghép chéo từ Biển Bắc có độ mặn cao và Biển Baltic có độ mặn phù du. Các khác biệt rõ rệt trong các mẫu biểu hiện của các gen chuỗi alpha và beta của huyết sắc tố đã được tìm thấy giữa các loại mô khác nhau ở cá đục. Trong mô mang, một phản ứng biến đổi với các điều trị độ mặn đã được quan sát với sự điều chỉnh tăng tổng quát của các gen này đi kèm với độ mặn cao hơn. Đối với mô gan, đã quan sát thấy những khác biệt biểu hiện đặc trưng theo quần thể với sự biểu hiện thấp hơn ở độ mặn không tự nhiên so với độ mặn tự nhiên. Cuối cùng, đối với mô thận, một phản ứng căng thẳng đã được quan sát ở một quần thể, với việc điều chỉnh tăng gen khi cá đục từ Biển Bắc được cấy ghép vào môi trường độ mặn thấp. Nghiên cứu này nhấn mạnh tầm quan trọng của biểu hiện gen đặc hiệu theo mô và ý nghĩa của biểu hiện gen đối với sự tiến hóa của sự thích nghi địa phương trong các loài cá biển có dòng chảy gen cao.","Recent genetic analyses of candidate genes and gene expression in marine fishes have provided evidence of local adaptation in response to environmental differences, despite the lack of strong signals of population structure from conventional neutral genetic markers. In this study expression of the haemoglobin alpha and beta subunit genes was studied in reciprocally transplanted European flounder Platichthys flesus from the highly saline North Sea and the brackish Baltic Sea. Clear differences in expression patterns of haemoglobin alpha and beta subunit genes were found among different types of tissue in flounder. In gill tissue a plastic response to salinity treatments was observed with general up-regulation of these genes concomitant with higher salinity. For liver tissue a population specific expression differences was observed with lower expression at simulated non-native compared to native salinities. Finally, for kidney tissue a stress response was observed in one population, with gene up-regulation when North Sea flounders were transplanted to low salinity. This study underlines the importance of tissue specific gene expression and the significance of gene expression for evolution of local adaptation in high gene flow marine fishes.",{"VI":948,"EN":949},"Biểu hiện gen huyết sắc tố đặc hiệu theo mô cho thấy sự thích nghi với điều kiện biển địa phương ở cá đục Bắc Hải (Platichthys flesus L.)","Tissue specific haemoglobin gene expression suggests adaptation to local marine conditions in North Sea flounder (Platichthys flesus L.)",{"VOID":951},"10.1007\u002Fs13258-013-0101-9",{"VI":953},"thích nghi địa phương, cá biển, biểu hiện gen, huyết sắc tố, độ 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Genet. 80: 488–496.",{"doi":1309},"10.1007\u002FBF00226750",{"id":20,"text":1311,"url":20,"identifiers":1312},"Melchinger AE, Boppenmmaier J, Dhillon BS, Pollmer WG and Herrmann RG (1992) Genetic diversity for RFLPs in European maize inbreds: II. Relation to performance of hybrids within versus between heterotic groups for forage traits. Theor. Appl. Genet. 84: 672–681.",{"doi":1313},"10.1007\u002FBF00224167",{"id":20,"text":1315,"url":20,"identifiers":1316},"Messmer MM, Melchinger AE, Herrmann RG and Boppenmaier J (1993) Relationships among early European maize inbreds. II. Comparison of pedigree and RFLP data. Crop Sci. 33: 944–950.",{"doi":1317},"10.2135\u002Fcropsci1993.0011183X003300050014x",{"id":20,"text":1319,"url":20,"identifiers":1320},"Moeller DA and Schaal BA (1999) Genetic relationships among Native American maize accessions of the great plains assessed by RAPDs. Theor. Appl. 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Genet. 97: 1248–1255.",{"doi":1336},"10.1007\u002Fs001220051017",{"id":20,"text":1338,"url":20,"identifiers":1339},"Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S and Rafalski A (1996) The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol. Breed. 2: 225–238.",{"doi":1340},"10.1007\u002FBF00564200",{"id":20,"text":1342,"url":20,"identifiers":1343},"Prasad M, Varshney RK, Roy JK, Balyan HS and Gupta PK (2000) The use of microsatellites for detecting DNA polymorphism, genotype identification and genetic diversity in wheat. Theor. Appl. Genet. 100: 584–592.",{},{"id":20,"text":1345,"url":20,"identifiers":1346},"Rafalski JA, Vogel JM, Morgante M, Powell W, Andre C and Tingey SV (1996) Generating and using DNA markers in plants. In: Birren B, Lai E (eds), Non-mammalian genomic analysis. A practical guide. 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GENES & GENOMICS 31: 283–292.",{"doi":1385},"10.1007\u002FBF03191201",{"id":1387,"createTime":1388,"updateTime":1389,"relativeEntities":1390,"slug":1391,"properties":1392,"entityType":139,"verifyStatus":140,"verifyTime":1389,"verifyNote":141,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1401,"fullTextUrl":20,"authors":1402,"publicationType":218,"publisherRelationship":1486,"citationCount":20,"citationInfo":20,"publishDate":1519,"publishYear":1124,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":255},"bd0e99ad-b52e-469e-958d-c1d2d8bbeeab","2023-12-31T13:40:36.638+00:00","2025-01-04T23:54:59.800+00:00",[],"Porcine-insulin-like-growth-factor-1-IGF1-gene-polymorphisms-are-associated-with-body-size-variation",{"references":1393,"abstract":1395,"title":1397,"doi":1399},{"VOID":1394},"Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263–265\nBian LH, Wang SZ, Wang QG, Zhang S, Wang YX, Li H (2008) Variation at the insulin-like growth factor 1 gene and its association with body weight traits in the chicken. J Anim Breed Genet 125:265–270\nBoyko AR, Quignon P, Li L, Schoenebeck JJ, Degenhardt JD, Lohmueller KE, Zhao K, Brisbin A, Parker HG, vonHoldt BM et al (2010) A simple genetic architecture underlies morphological variation in dogs. PLoS Biol 8:e1000451\nChoi TS, Park BY, Lee JM, Lee SK (2005) Comparison of carcass and meat quality characteristics between Korean native black pigs and commercial crossbred pigs. Korean J Food Sci Ani Resour 25:322–327\nEstany J, Tor M, Villalba D, Bosch L, Gallardo D, Jimenez N, Altet L, Noguera JL, Reixach J, Amills M et al (2007) Association of CA repeat polymorphism at intron 1 of insulin-like growth factor (IGF-I) gene with circulating IGF-I concentration, growth, and fatness in swine. Physiol Genomics 31:236–243\nKim EH, Choi BH, Kim KS, Lee CK, Cho BW, Kim TH, Kim JJ (2007) Detection of Mendelian and parent-of-origin quantitative trait loci in a cross between Korean native pig and Landrace I. Growth and body composition traits. Asian-Aust J Anim Sci 19:1702–1705\nKim JJ, Lee HI, Park T, Kim K, Lee JE, Cho NH, Shin C, Cho YS, Lee JY, Han BG et al (2010) Identification of 15 loci influencing height in a Korean population. J Hum Genet 55:27–31\nKim SW, Li XP, Lee YM, Choi YI, Cho BW, Choi BH, Kim TH, Kim JJ, Kim KS (2011) QTL scan for meat quality traits using high-density SNP chip analysis in cross between Korean native pig and Yorkshire. Asian-Aust J Anim Sci 24:1184–1191\nLi JQ, Chen ZM, Liu DW, Liu XH, Sun BL, Ling F, Zhang H, Chen YS (2003) Genetic effects of IGF-1 gene on the performance in Landrace × Lantang pig resource population. Yi Chuan Xue Bao 30:835–839\nOkada Y, Kamatani Y, Takahashi A, Matsuda K, Hosono N, Ohmiya H, Daigo Y, Yamamoto K, Kubo M, Nakamura Y et al (2010) A genome-wide association study in 19 633 Japanese subjects identified LHX3-QSOX2 and IGF1 as adult height loci. Hum Mol Genet 19:2303–2312\nReyna XF, Montoya HM, Castrellon VV, Rincon AM, Bracamonte MP, Vera WA (2010) Polymorphisms in the IGF1 gene and their effect on growth traits in Mexican beef cattle. Genet Mol Res 9:875–883\nSilventoinen K, Magnusson PK, Tynelius P, Kaprio J, Rasmussen F (2008) Heritability of body size and muscle strength in young adulthood: a study of one million Swedish men. Genet Epidemiol 32:341–349\nStephens M, Smith N, Donnelly P (2001) A new statistical method for haplotype reconstruction from population data. Am J Hum Genet 68:978–989\nSutter NB, Bustamante CD, Chase K, Gray MM, Zhao K, Zhu L, Padhukasahasram B, Karlins E, Davis S, Jones PG et al (2007) A single IGF1 allele is a major determinant of small size in dogs. Science 316:112–115\nSuzuki K, Nakagawa M, Katoh K, Kadowaki H, Shibata T, Uchida H, Obara Y, Nishida A (2004) Genetic correlation between serum insulin-like growth factor-1 concentration and performance and meat quality traits in Duroc pigs. J Anim Sci 82:994–999\nTang S, Sun D, Ou J, Zhang Y, Xu G (2010) Evaluation of the IGFs (IGF1 and IGF2) genes as candidates for growth, body measurement, carcass, and reproduction traits in Beijing You and Silkie chickens. Anim Biotechnol 21:104–113\nvan Wijk HJ, Arts DJ, Matthews JO, Webster M, Ducro BJ, Knol EF (2005) Genetic parameters for carcass composition and pork quality estimated in a commercial production chain. J Anim Sci 83:324–333\nWintero AK, Fredholm M, Andersson L (1994) Assignment of the gene for porcine insulin-like growth factor 1 (IGF1) to chromosome 5 by linkage mapping. Anim Genet 25:37–39\nYang TL, Xiong DH, Guo Y, Recker RR, Deng HW (2008) Comprehensive association analyses of IGF1, ESR2, and CYP17 genes with adult height in Caucasians. Eur J Hum Genet 16:1380–1387",{"EN":1396},"Previous studies have confirmed that insulin growth factor-1 (IGF1) plays important roles in growth and body size in humans and animals. However, whether single nucleotide polymorphisms (SNPs) within the IGF1 gene affects body size and growth in pigs has been unclear. We identified IGF1 SNPs among 5 pig breeds (Berkshire, Duroc, Landrace, Yorkshire and Korea Native Pig) and found that the G allele of SNP (c.G189A) was associated with higher body weight and was more predominant in western pig breeds, while the Korean Native Pig is the breed with the highest frequency of the A allele. Four haplotypes (–GA–, –GG–, –AG–, and –AA–) were constructed using the 2 identified SNPs. The GA haplotype was most frequently observed, except in the Berkshire breed. In addition, these SNPs and haplotypes were significantly associated with body size (final weight), average daily gain, and backfat thickness (P \u003C 0.05) in 2 intercrossed F2 pig populations (KNP × YS F2 and KNP × LR F2). Furthermore, the major GA haplotype had a significant additive effect on body size and average daily gain. In conclusion, specific SNPs within the porcine IGF1 gene may contribute to the smaller body size and lower growth rate of Korea Native Pigs.",{"EN":1398},"Porcine insulin-like growth factor 1 (IGF1) gene polymorphisms are associated with body size variation",{"VOID":1400},"10.1007\u002Fs13258-013-0098-0","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13258-013-0098-0",[1403,1418,1430,1445,1462,1474],{"id":1404,"sortIndex":21,"researcher":20,"roles":1405,"affiliations":1406,"properties":1415},"48d4171f-94d6-44ba-a5a6-c4f34a31376b",[148],[1407],{"id":20,"sortIndex":21,"affiliation":1408,"properties":20},{"id":1409,"createTime":1410,"updateTime":1410,"relativeEntities":1411,"slug":20,"properties":1412,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"29d4b57b-095d-46c1-b577-299762be29f9","2023-12-31T13:40:36.660+00:00",[],{"title":1413},{"VI":1414},"Department of Animal Science, Chungbuk National University, Cheongju-Si, Chungbuk, South Korea",{"title":1416},{"VI":1417},"Pengxia Niu",{"id":1419,"sortIndex":115,"researcher":20,"roles":1420,"affiliations":1421,"properties":1427},"bf63b487-99a6-4817-980b-9876da0a2c4e",[148],[1422],{"id":20,"sortIndex":21,"affiliation":1423,"properties":20},{"id":1409,"createTime":1410,"updateTime":1410,"relativeEntities":1424,"slug":20,"properties":1425,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1426},{"VI":1414},{"title":1428},{"VI":1429},"Sang-Wook Kim",{"id":1431,"sortIndex":180,"researcher":20,"roles":1432,"affiliations":1433,"properties":1442},"d25acc93-43dc-4087-a155-553cc438b793",[148],[1434],{"id":20,"sortIndex":21,"affiliation":1435,"properties":20},{"id":1436,"createTime":1437,"updateTime":1437,"relativeEntities":1438,"slug":20,"properties":1439,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"676de222-f2e1-4227-82a4-8eac6bf3c105","2023-12-31T13:40:36.674+00:00",[],{"title":1440},{"VI":1441},"Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Suwon, Korea",{"title":1443},{"VI":1444},"Bong-Hwan Choi",{"id":1446,"sortIndex":117,"researcher":20,"roles":1447,"affiliations":1448,"properties":1459},"d18c783d-888b-4b5f-ae2e-3cf2a3e960a2",[148],[1449],{"id":20,"sortIndex":21,"affiliation":1450,"properties":20},{"id":1451,"createTime":1452,"updateTime":1453,"relativeEntities":1454,"slug":1455,"properties":1456,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"30fd7b2b-5d5e-4d3f-a5eb-20e7ee92978a","2023-12-07T19:23:27.825+00:00","2024-09-28T15:44:02.494+00:00",[],"School-of-Biotechnology-Yeungnam-University-Gyeongsan-South-Korea",{"title":1457},{"VI":1458},"School of Biotechnology, Yeungnam University, Gyeongsan, South Korea",{"title":1460},{"VI":1461},"Jong-Joo Kim",{"id":1463,"sortIndex":146,"researcher":20,"roles":1464,"affiliations":1465,"properties":1471},"b2a8ca25-7d80-46f0-b301-eec67ebae8e1",[148],[1466],{"id":20,"sortIndex":21,"affiliation":1467,"properties":20},{"id":1436,"createTime":1437,"updateTime":1437,"relativeEntities":1468,"slug":20,"properties":1469,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1470},{"VI":1441},{"title":1472},{"VI":1473},"Tae-Hun Kim",{"id":1475,"sortIndex":365,"researcher":20,"roles":1476,"affiliations":1477,"properties":1483},"32164317-915c-4bdc-bbc9-b173b8a56ff0",[148],[1478],{"id":20,"sortIndex":21,"affiliation":1479,"properties":20},{"id":1409,"createTime":1410,"updateTime":1410,"relativeEntities":1480,"slug":20,"properties":1481,"entityType":57,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1482},{"VI":1414},{"title":1484},{"VI":1485},"Kwan-Suk Kim",{"url":1401,"publisher":1487,"properties":1515},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1488,"slug":10,"properties":1489,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1493,"manageAffiliations":1494,"indexDatabases":1495,"url":20,"thumbnailPath":20,"statistic":1510,"gsStatistic":20,"type":20,"analyzePriority":20},[],{"issn":1490,"eissn":1491,"title":1492},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1496,1503],{"id":93,"indexDatabase":1497,"url":108,"indexYears":20,"academicFieldIds":1502,"indexDatabaseRanking":20},{"id":95,"createTime":96,"updateTime":97,"relativeEntities":1498,"label":1499,"description":1500,"key":104,"publicationTags":1501,"standard":20},[],{"EN":100,"VI":100},{"VI":102,"EN":103},[106,107],[110,111,112],{"id":72,"indexDatabase":1504,"url":85,"indexYears":86,"academicFieldIds":1509,"indexDatabaseRanking":91},{"id":74,"createTime":75,"updateTime":76,"relativeEntities":1505,"label":1506,"description":1507,"key":82,"publicationTags":1508,"standard":20},[],{"EN":79,"VI":79},{"EN":79,"VI":81},[84],[88,89,90],{"impactFactor":21,"impactFactorByYear":1511,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":115,"totalPublicationByYear":1512,"totalCitation":117,"totalCitationByYear":1513,"totalCitationPerPublication":117,"totalCitationPerPublicationByYear":1514,"hindexLast5Year":115,"hindex":115},{},{"2019":115},{"2019":117},{"2019":117},{"volume":1516,"pages":1517},{"VOID":1120},{"VOID":1518},"523-528","2013-03-08",{"id":1521,"createTime":1522,"updateTime":1523,"relativeEntities":1524,"slug":1525,"properties":1526,"entityType":139,"verifyStatus":140,"verifyTime":1523,"verifyNote":141,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1535,"fullTextUrl":20,"authors":1536,"publicationType":218,"publisherRelationship":1622,"citationCount":20,"citationInfo":20,"publishDate":1656,"publishYear":1657,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":255},"1861d213-dc18-404e-8d08-72e5d1cf5ff9","2023-12-06T20:16:18.199+00:00","2024-12-21T23:49:03.633+00:00",[],"Guanine-nucleotide-binding-protein-2-GNBP2-accelerates-the-progression-of-clear-cell-renal-cell-carcinoma-via-regulation-of-STAT3-signaling-transduction-pathway",{"references":1527,"abstract":1529,"title":1531,"doi":1533},{"VOID":1528},"Abdullah N, Balakumari M, Sau AK (2010) Dimerization and its role in GMP formation by human guanylate binding proteins. Biophys J 99:2235–2244\nBalasubramanian S, Nada S, Vestal D (2006) The interferon-induced GTPase, mGBP-2, confers resistance to paclitaxel-induced cytotoxicity without inhibiting multinucleation. Cell Mol Biol (noisy-Le-Grand) 52:43–49\nBartha Á, Győrffy B (2021) TNMplot.com: a web tool for the comparison of gene expression in normal, tumor and metastatic tissues. Int J Mol Sci 22:2622\nBharadwaj U, Kasembeli MM, Robinson P, Tweardy DJ (2020) Targeting janus kinases and signal transducer and activator of transcription 3 to treat inflammation, fibrosis, and cancer: rationale, progress, and caution. Pharmacol Rev 72:486–526\nBoehm U, Guethlein L, Klamp T, Ozbek K, Schaub A, Fütterer A, Pfeffer K, Howard JC (1998) Two families of GTPases dominate the complex cellular response to IFN-gamma. J Immunol 161:6715–6723\nBrenner W, Gross S, Steinbach F, Horn S, Hohenfellner R, Thüroff JW (2000) Differential inhibition of renal cancer cell invasion mediated by fibronectin, collagen IV and laminin. Cancer Lett 155:199–205\nChae IG, Song NY, Kim DH, Lee MY, Park JM, Chun KS (2020) Thymoquinone induces apoptosis of human renal carcinoma Caki-1 cells by inhibiting JAK2\u002FSTAT3 through pro-oxidant effect. Food Chem Toxicol 139:111253\nCheng YS, Colonno RJ, Yin FH (1983) Interferon induction of fibroblast proteins with guanylate binding activity. J Biol Chem 258:7746–7750\nCuadros T, Trilla E, Sarró E, Vilà MR, Vilardell J, de Torres I, Salcedo M, López-Hellin J, Sánchez A, Ramón y Cajal S et al (2014) HAVCR\u002FKIM-1 activates the IL-6\u002FSTAT-3 pathway in clear cell renal cell carcinoma and determines tumor progression and patient outcome. Cancer Res 74:1416–1428\nCui W, Braun E, Wang W, Tang J, Zheng Y, Slater B, Li N, Chen C, Liu Q, Wang B et al (2021) Structural basis for GTP-induced dimerization and antiviral function of guanylate-binding proteins. Proc Natl Acad Sci USA 118(15):e2022269118. https:\u002F\u002Fdoi.org\u002F10.1073\u002Fpnas.2022269118\nDu P, Zeng H, Xiao Y, Zhao Y, Zheng B, Deng Y, Liu J, Huang B, Zhang X, Yang K et al (2020) Chronic stress promotes EMT-mediated metastasis through activation of STAT3 signaling pathway by miR-337-3p in breast cancer. Cell Death Dis 11:761\nGavet O, Pines J (2010) Progressive activation of CyclinB1-Cdk1 coordinates entry to mitosis. Dev Cell 18:533–543\nGodoy P, Cadenas C, Hellwig B, Marchan R, Stewart J, Reif R, Lohr M, Gehrmann M, Rahnenführer J, Schmidt M et al (2014) Interferon-inducible guanylate binding protein (GBP2) is associated with better prognosis in breast cancer and indicates an efficient T cell response. Breast Cancer 21:491–499\nGorbacheva VY, Lindner D, Sen GC, Vestal DJ (2002) The interferon (IFN)-induced GTPase, mGBP-2. Role in IFN-gamma-induced murine fibroblast proliferation. J Biol Chem 277:6080–6087\nGuimarães DP, Oliveira IM, de Moraes E, Paiva GR, Souza DM, Barnas C, Olmedo DB, Pinto CE, Faria PA, De Moura Gallo CV et al (2009) Interferon-inducible guanylate binding protein (GBP)-2: a novel p53-regulated tumor marker in esophageal squamous cell carcinomas. Int J Cancer 124:272–279\nHagiwara H, Sato H, Ohde Y, Takano Y, Seki T, Ariga T, Hokaiwado N, Asamoto M, Shirai T, Nagashima Y et al (2008) 5-Aza-2’-deoxycytidine suppresses human renal carcinoma cell growth in a xenograft model via up-regulation of the connexin 32 gene. Br J Pharmacol 153:1373–1381\nHan Y, Amin HM, Franko B, Frantz C, Shi X, Lai R (2006) Loss of SHP1 enhances JAK3\u002FSTAT3 signaling and decreases proteosome degradation of JAK3 and NPM-ALK in ALK+ anaplastic large-cell lymphoma. Blood 108:2796–2803\nHoriguchi A, Asano T, Kuroda K, Sato A, Asakuma J, Ito K, Hayakawa M, Sumitomo M, Asano T (2010) STAT3 inhibitor WP1066 as a novel therapeutic agent for renal cell carcinoma. Br J Cancer 102:1592–1599\nJonasch E, Gao J, Rathmell WK (2014) Renal cell carcinoma. BMJ 349:g4797\nJonasch E, Walker CL, Rathmell WK (2021) Clear cell renal cell carcinoma ontogeny and mechanisms of lethality. Nat Rev Nephrol 17:245–261\nLi P, Jiang W, Yu Q, Liu W, Zhou P, Li J, Xu J, Xu B, Wang F, Shao F (2017) Ubiquitination and degradation of GBPs by a Shigella effector to suppress host defence. Nature 551:378–383\nLi YL, Wu LW, Zeng LH, Zhang ZY, Wang W, Zhang C, Lin NM (2020) ApoC1 promotes the metastasis of clear cell renal cell carcinoma via activation of STAT3. Oncogene 39:6203–6217\nLiang Q, Ma D, Zhu X, Wang Z, Sun TT, Shen C, Yan T, Tian X, Yu T, Guo F et al (2018) RING-finger protein 6 amplification activates JAK\u002FSTAT3 pathway by modifying SHP-1 ubiquitylation and associates with poor outcome in colorectal cancer. Clin Cancer Res 24:1473–1485\nLin X, Rice KL, Buzzai M, Hexner E, Costa FF, Kilpivaara O, Mullally A, Soares MB, Ebert BL, Levine R et al (2013) miR-433 is aberrantly expressed in myeloproliferative neoplasms and suppresses hematopoietic cell growth and differentiation. Leukemia 27:344–352\nLiu Y, Wang JX, Nie ZY, Wen Y, Jia XJ, Zhang LN, Duan HJ, Shi YH (2019) Upregulation of ERp57 promotes clear cell renal cell carcinoma progression by initiating a STAT3\u002FILF3 feedback loop. J Exp Clin Cancer Res 38:439\nLiu J, Peng Y, Wei W (2022) Cell cycle on the crossroad of tumorigenesis and cancer therapy. Trends Cell Biol 32:30–44\nMo M, Tong S, Yin H, Jin Z, Zu X, Hu X (2020) SHCBP1 regulates STAT3\u002Fc-Myc signaling activation to promote tumor progression in penile cancer. Am J Cancer Res 10:3138–3156\nPan XW, Chen L, Hong Y, Xu DF, Liu X, Li L, Huang Y, Cui LM, Gan SS, Yang QW et al (2016) EIF3D silencing suppresses renal cell carcinoma tumorigenesis via inducing G2\u002FM arrest through downregulation of Cyclin B1\u002FCDK1 signaling. Int J Oncol 48:2580–2590\nPark WH, Jung CW, Park JO, Kim K, Kim WS, Im YH, Lee MH, Kang WK, Park K (2003) Monensin inhibits the growth of renal cell carcinoma cells via cell cycle arrest or apoptosis. Int J Oncol 22:855–860\nRen Y, Yang B, Guo G, Zhang J, Sun Y, Liu D, Guo S, Wu Y, Wang X, Wang S et al (2022) GBP2 facilitates the progression of glioma via regulation of KIF22\u002FEGFR signaling. Cell Death Discov 8:208\nRodrigues S, Attoub S, Nguyen QD, Bruyneel E, Rodrigue CM, Westley BR, May FE, Thim L, Mareel M, Emami S et al (2003) Selective abrogation of the proinvasive activity of the trefoil peptides pS2 and spasmolytic polypeptide by disruption of the EGF receptor signaling pathways in kidney and colonic cancer cells. Oncogene 22:4488–4497\nRu B, Wong CN, Tong Y, Zhong JY, Zhong SSW, Wu WC, Chu KC, Wong CY, Lau CY, Chen I et al (2019) TISIDB: an integrated repository portal for tumor-immune system interactions. Bioinformatics 35:4200–4202\nSchwartz GK, Shah MA (2005) Targeting the cell cycle: a new approach to cancer therapy. J Clin Oncol 23:9408–9421\nSiegel RL, Miller KD, Fuchs HE, Jemal A (2021) Cancer statistics, 2021. CA Cancer J Clin 71:7–33\nTetsuo F, Arioka M, Miura K, Kai M, Kubo M, Igawa K, Tomooka K, Takahashi-Yanaga F, Nishimura F, Sasaguri T (2019) Differentiation-inducing factor-1 suppresses cyclin D1-induced cell proliferation of MCF-7 breast cancer cells by inhibiting S6K-mediated signal transducer and activator of transcription 3 synthesis. Cancer Sci 110:3761–3772\nTurajlic S, Swanton C, Boshoff C (2018) Kidney cancer: The next decade. J Exp Med 215:2477–2479\nVerhoeven Y, Tilborghs S, Jacobs J, De Waele J, Quatannens D, Deben C, Prenen H, Pauwels P, Trinh XB, Wouters A et al (2020) The potential and controversy of targeting STAT family members in cancer. Semin Cancer Biol 60:41–56\nWang A, Bao Y, Wu Z, Zhao T, Wang D, Shi J, Liu B, Sun S, Yang F, Wang L et al (2019) Long noncoding RNA EGFR-AS1 promotes cell growth and metastasis via affecting HuR mediated mRNA stability of EGFR in renal cancer. Cell Death Dis 10:154\nWang J, Min H, Hu B, Xue X, Liu Y (2020) Guanylate-binding protein-2 inhibits colorectal cancer cell growth and increases the sensitivity to paclitaxel of paclitaxel-resistant colorectal cancer cells by interfering Wnt signaling. J Cell Biochem 121:1250–1259\nWang H, Zhou Y, Zhang Y, Fang S, Zhang M, Li H, Xu F, Liu L, Liu J, Zhao Q et al (2022) Subtyping of microsatellite stability colorectal cancer reveals guanylate binding protein 2 (GBP2) as a potential immunotherapeutic target. J Immunother Cancer 10:e004302\nXie TX, Wei D, Liu M, Gao AC, Ali-Osman F, Sawaya R, Huang S (2004) Stat3 activation regulates the expression of matrix metalloproteinase-2 and tumor invasion and metastasis. Oncogene 23:3550–3560\nYamada Y, Sugawara S, Arai T, Kojima S, Kato M, Okato A, Yamazaki K, Naya Y, Ichikawa T, Seki N (2018) Molecular pathogenesis of renal cell carcinoma: impact of the anti-tumor miR-29 family on gene regulation. Int J Urol 25:953–965\nYu H, Lee H, Herrmann A, Buettner R, Jove R (2014) Revisiting STAT3 signalling in cancer: new and unexpected biological functions. Nat Rev Cancer 14:736–746\nYu S, Yu X, Sun L, Zheng Y, Chen L, Xu H, Jin J, Lan Q, Chen CC, Li M (2020) GBP2 enhances glioblastoma invasion through Stat3\u002Ffibronectin pathway. Oncogene 39:5042–5055\nZhang J, Zhang Y, Wu W, Wang F, Liu X, Shui G, Nie C (2017) Guanylate-binding protein 2 regulates Drp1-mediated mitochondrial fission to suppress breast cancer cell invasion. Cell Death Dis 8:e3151",{"EN":1530},"Guanine nucleotide-binding protein 2 (GNBP2) is a GTPase that has critical roles in host immunity and some types of cancer, but its function in clear cell renal cell carcinoma (ccRCC) is not fully understood. This work explored the role of GNBP2 in ccRCC progression and the underlying molecular mechanism. Two public human cancer databases TNMplot and TISIDB were employed to analyze the expression pattern of GNBP2 during ccRCC progression and the correlation between GNBP2 expression and clinical features of ccRCC patients. GNBP2 functions in ccRCC cells were determined by EdU staining, flow cytometry, scratch wound assay, transwell assay, and xenograft model. Gene expression was evaluated using qPCR, Western blot, immunofluorescence staining, and immunohistochemical staining. GNBP2 expression was significantly elevated in ccRCC tissues and increased gradually with the increasing tumor grades. Patients with higher GNBP2 expression had shorter overall survival times. Knockdown of GNBP2 suppressed tumor cell proliferation and cell cycle progression and reduced the capability of migration and invasion, while GNBP2 overexpression exhibited protumor effects. GNBP2 silencing by RNA interference significantly inhibited the tumor growth of tumor-bearing nude mice and decreased the proliferation marker Ki67. Mechanistically, GNBP2 downregulation suppressed the STAT3 signaling transduction, as it reduced the phosphorylation of STAT3 and modulated the expression of the target genes, including c-Myc, MMP2, N-cadherin, and E-cadherin. These findings reveal that GNBP2 promotes ccRCC progression by regulating STAT3 signaling transduction, indicating that GNBP2 might be a promising molecular target for ccRCC therapy.",{"EN":1532},"Guanine nucleotide-binding protein 2, GNBP2, accelerates the progression of clear cell renal cell carcinoma via regulation of STAT3 signaling transduction 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DL, Raison JM, Edgar RC (2009) Characterization and distribution of retrotransposons and simple sequence repeats in the bovine genome. Proc Natl Acad Sci USA 106:12855–12860\nBarendse W, Harrison BE, Bunch RJ, Thomas MB, Turner LB (2009) Genome wide signatures of positive selection: the comparison of independent samples and the identification of regions associated to traits. BMC Genom 10:178\nBentley DR (2006) Whole-genome re-sequencing. Curr Opin Genet Dev 16:545–552\nBollongino R, Burger J, Powell A, Mashkour M, Vigne JD, Thomas MG (2012) Modern taurine cattle descended from small number of near-eastern founders. Mol Biol Evol 29:2101–2104\nBovine Genome Sequencing and Analysis Consortium, Elsik CG, Tellam RL, Worley KC, Gibbs RA, Muzny DM, Weinstock GM, Adelson DL, Eichler EE et al (2009) The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324:522–528\nBovine HapMap Consortium, Gibbs RA, Taylor JF, Van Tassell CP, Barendse W, Eversole KA, Gill CA, Green RD, Hamernik DL, Kappes SM et al (2009) Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds. Science 324:528–532\nBovine Genome Sequencing and Analysis Consortium (2009) The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science 324: 522–528\nBurt DW (2009) The cattle genome reveals its secrets. J Biol 8:36\nChen K, Wallis JW, McLellan MD, Larson DE, Kalicki JM, Pohl CS, McGrath SD, Wendl MC, Zhang Q, Locke DP et al (2009) BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. Nat Methods 6:677–681\nCheong HS, Kim LH, Namgoong S, Shin HD (2013) Development of discrimination SNP markers for Hanwoo (Korean native cattle). Meat Sci 94:355–359\nChoi JW, Lee KT, Liao X, Stothard P, An HS, Ahn S, Lee S, Lee SY, Moore SS, Kim TH (2013) Genome-wide copy number variation in Hanwoo, Black Angus, and Holstein cattle. Mamm Genome 24:151–163\nChoi JW, Liao X, Stothard P, Chung WH, Jeon HJ, Miller SP, Choi SY, Lee JK, Yang B, Lee KT et al (2014) Whole-genome analyses of Korean native and Holstein cattle breeds by massively parallel sequencing. PLoS One 9:e101127\nChoi JW, Choi BH, Lee SH, Lee SS, Kim HC, Yu D, Chung WH, Lee KT, Chai HH, Cho YM et al (2015) Whole-genome resequencing analysis of Hanwoo and Yanbian cattle to identify genome-wide SNPs and signatures of selection. Mol Cells 38:466–473\nCordaux R, Batzer MA (2009) The impact of retrotransposons on human genome evolution. Nat Rev Genet 10:691–703\nHayes BJ, Chamberlain AJ, Maceachern S, Savin K, McPartlan H, MacLeod I, Sethuraman L, Goddard ME (2009) A genome map of divergent artificial selection between Bos taurus dairy cattle and Bos taurus beef cattle. Anim Genet 40:176–184\nHeo EJ, Ko EK, Seo KH, Chon JW, Kim YJ, Park HJ, Wee SH, Moon JS (2014) Comparison of the microsatellite and single nucleotide polymorphism methods for discriminating among Hanwoo (Korean Native Cattle), imported, and crossbred beef in Korea. Korean J Food Sci Anim Resour 34:763–768\nLee KT, Chung WH, Lee SY, Choi JW, Kim J, Lim D, Lee S, Jang GW, Kim B, Choy YH et al (2013) Whole-genome resequencing of Hanwoo (Korean cattle) and insight into regions of homozygosity. BMC Genom 14:519\nLee SH, Park BH, Sharma A, Dang CG, Lee SS, Choi TJ, Choy YH, Kim HC, Jeon KJ, Kim SD et al (2014) Hanwoo cattle: origin, domestication, breeding strategies and genomic selection. J Anim Sci Technol 56:2\nLee J, Mun S, Kim DH, Cho CS, Oh DY, Han K (2017) Chicken (Gallus gallus) endogenous retrovirus generates genomic variations in the chicken genome. Mob DNA 8:2\nLi H, Durbin R (2009) Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25:1754–1760\nLi H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, Genome Project Data Processing Subgroup (2009) The Sequence Alignment\u002FMap format and SAMtools. Bioinformatics 25:2078–2079\nLiu Y, Qin X, Song XZ, Jiang H, Shen Y, Durbin KJ, Lien S, Kent MP, Sodeland M, Ren Y et al (2009) Bos taurus genome assembly. BMC Genom 10:180\nLoftus RT, MacHugh DE, Bradley DG, Sharp PM, Cunningham P (1994) Evidence for two independent domestications of cattle. Proc Natl Acad Sci USA 91:2757–2761\nMatukumalli LK, Lawley CT, Schnabel RD, Taylor JF, Allan MF, Heaton MP, O’Connell J, Moore SS, Smith TP, Sonstegard TS et al (2009) Development and characterization of a high density SNP genotyping assay for cattle. PLoS One 4:e5350\nMoore JK, Haber JE (1996) Cell cycle and genetic requirements of two pathways of nonhomologous end-joining repair of double-strand breaks in Saccharomyces cerevisiae. Mol Cell Biol 16:2164–2173\nNilsson MA, Klassert D, Bertelsen MF, Hallstrom BM, Janke A (2012) Activity of ancient RTE retroposons during the evolution of cows, spiral-horned antelopes, and Nilgais (Bovinae). Mol Biol Evol 29:2885–2888\nShimamura M, Abe H, Nikaido M, Ohshima K, Okada N (1999) Genealogy of families of SINEs in cetaceans and artiodactyls: the presence of a huge superfamily of tRNA(Glu)-derived families of SINEs. Mol Biol Evol 16:1046–1060\nShin DH, Lee HJ, Cho S, Kim HJ, Hwang JY, Lee CK, Jeong J, Yoon D, Kim H (2014) Deleted copy number variation of Hanwoo and Holstein using next generation sequencing at the population level. BMC Genom 15:240\nUsdin K (2008) The biological effects of simple tandem repeats: lessons from the repeat expansion diseases. Genome Res 18:1011–1019\nWomack JE, Moll YD (1986) Gene map of the cow: conservation of linkage with mouse and man. J Hered 77:2–7\nZimin AV, Delcher AL, Florea L, Kelley DR, Schatz MC, Puiu D, Hanrahan F, Pertea G, Van Tassell CP, Sonstegard TS et al (2009) A whole-genome assembly of the domestic cow, Bos taurus. Genome Biol 10:R42",{"EN":1668},"The total length of the cattle genome is approximately ~ 3 billion base pairs. About half of the bovine genome (46.5%) is composed of transposable elements (TEs). The TEs could be a major source of genomic structural variations (SVs) between cattle breeds. These SVs have led to genomic fluidity and rearrangements between interspecies. TE-mediated insertion and deletion events could have a strong influence on the bovine genome. This study aimed to investigate TE-mediated deletion events that are common to 12 Hanwoo genome resequencing data. We compared 12 Hanwoo genome resequencing data with the cattle reference genome (Bos taurus_UMD_3.1.1) and six other open source data (2 Jersey, 2 Holstein, 2 Angus). By using BreakDancer program, the common SVs to the 12 Hanwoo genomes were detected. A total of 299 Hanwoo-specific SV candidates were detected. Among them, 56 Hanwoo-specific TE-mediated deletion candidate loci were validated by PCR and Sanger sequencing. Finally, we identified one locus, DEL_96, which is an authentic Hanwoo-specific deletion. The DEL_96 event occurred by nonallelic homologous end-joining between LINE (BovB) and unique sequence with 1 bp microhomology. The 370 bp deletion event appeared to be only in the Hanwoo individuals after the divergence of Hanwoo and Holstein lineages. 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J, Ellerbroek A, Silver T, Orris S, Scheiner M, Gonzalez A, Peacock CA (2015) A high protein diet (3.4 g\u002Fkg\u002Fd) combined with a heavy resistance training program improves body composition in healthy trained men and women—a follow-up investigation. J Int Soc Sports Nutr 12: 39\nCarpenter D, Mitchell LM, Armour JAL (2017) Copy number variation of human AMY1 is a minor contributor to variation in salivary amylase expression and activity. Hum Genomics 11:2\nChoi YJ, Nam YS, Yun JM, Park JH, Cho BL, Son HY, Kim JI, Yun JW (2015) Association between salivary amylase (AMY1) gene copy numbers and insulin resistance in asymptomatic Korean men. Diabetic Med 32:1588–1595\nDesprés JP, Lemieux I (2006) Abdominal obesity and metabolic syndrome. Nature 444:881–887\nFalchi M, Moustafa JSES, Takousis P, Pesce F, Bonnefond A, Andresson-Assarsson JC, Sudmant P, Dorajoo R, Al-Shafai M, Bottolo L et al (2014) Low copy number of the salivary amylase gene predisposes to obesity. Nat Genet 46:492–497\nHe Y, Pan A, Yang Y, Wang Y, Xu J, Zhang Y, Liu D, Wang Q, Shen H, Zhang Y et al (2016) Prevalence of underweight, overweight, and obesity among reproductive-age women and adolescent girls in rural China. AM J Public Health 106:2103–2110\nInchley CE, Larbey CD, Shwan NA, Pagani L, Saag L, Antäo T, Guy J, Hudjashov G, Metspalu E, Mitt M et al (2016) Selective sweep on human amylase genes postdates the split with Neanderthals. Sci Rep UK 6:37198\nKoziel S, Nowak N, Malina RM (2013) Changes in the genetic variance and heritability of the body mass index and skinfolds among polish twins aged 8–18 years. Coll Antropol 37:343–350\nLeong KS, Wilding JP (1999) Obesity and diabetes. Best Pract Res Cl En 13:221–237\nMandel AL, Des Gachons CP, Plank KL, Alarcon S, Breslin PAS (2010) Individual differences in AMY1 gene copy number, salivary α-amylase levels, and the perception of oral starch. PLoS ONE 5:e13352\nMarcovecchio ML, Florio R, Verginelli F, Lellis DL, Capelli C, Verzilli D, Chiarelli F, Mohn A, Cama A (2016) Low AMY1 gene copy number is associated with increased body mass index in prepubertal boys. PLoS ONE 11:e0154961\nMejía-Benítez MA, Bonnefond A, Yengo L, Huyvaert M, Dechaume A, Peralta-Romero J, Klünder-Klünder M, Mena JG, Moustafa JSES, Falchi M et al (2015) Beneficial effect of a high number of copies of salivary amylase AMY1 gene on obesity risk in Mexican children. Diabetologia 58:290–294\nMoustafa JSES, Froguel P (2013) From obesity genetics to the future of personalized obesity therapy. Nar Rev Endocrinol 9:402–413\nNorton L (2009) Optimal protein intake to maximize muscle protein synthesis: examinations of optimal meal protein intake. Argo Food Ind Hi Tech 20:54–57\nPerry GH, Dominy NJ, Claw KG, Lee AS, Fiegler H, Redon R, Werner J, Villanea FA, Mountain JL, Misra R et al (2007) Diet and the evolution of human amylase gene copy number variation. Nat Genet 39:1256–1260\nPhillips M, Babu JR, Wang X, Geetha T (2020) DNA copy number and structural variation (CNV) contributions to adult and childhood obesity. Biochem Soc T 48(Suppl 2):1\nRukh G, Ericson U, Andersson-Assarsson J, Orho-Melander M, Sonestedt E (2017) Dietary starch intake modifies the relation between copy number variation in the salivary amylase gene and BMI. Am J Clin Nutr 106:256–262\nSantos JL, Saus E, Smalley SV, Cataldo LR, Alberti G, Parada J, Gratacos M, Estivill X (2012) Copy number polymorphism of the salivary amylase gene: implications in human nutrition research. J Nutrigenet Nutrige 5:117–131\nSmith KB, Smith MS (2016) Obesity statistics. Prim Care 43:121–135\nSowers JR (2003) Obesity as a cardiovascular risk factor. Am J Med 115:37–41\nUsher CL, Handsaker RE, Esko T, Tuke MA, Weedon MN, Hastie AR, Cao H, Moon JE, Kashin S, Fuchsberger C et al (2015) Structural forms of the human amylase locus and their relationships to SNPs, haplotypes and obesity. Nat Genet 47:921–925\nViljakainen H, Andersson-Assarsson JC, Armenio M, Pekkinen M, Pettersson M, Valta H, Lipsanen-Nyman M, Makitie O, Lindstrand A (2015) Low copy number of the AMY1 locus is associated with early-onset female obesity in finland. PLoS ONE 10:e0131883\nWang R, Zhang P, Gao C, Li Z, Lv X, Song Y, Yu Y, Li B (2016) Prevalence of overweight and obesity and some associated factors among adult residents of northeast China: a cross-sectional study. BMJ Open 6:e010828\nYang Z, Lin J, Chen L, Zhang M, Chen W, Yang X (2015) The roles of AMY1 copies and protein expression in human salivary a-amylase activity. Physiol Behav 138:173–178\nYong RY, Mustaffa SB, Wasan PS, Sheng L, Marshall CR, Scherer SW, Teo Y, Yap EPH (2016) Complex copy number variation of AMY1 does not associate with obesity in two east Asian cohorts. Hum Mutat 37:669–678",{"EN":1860},"According to the WHO, about 39% of the global adult population were overweight or obese in 2016. Obesity has high heritability, with more than 1000 variants so far identified. There have been reports indicating that salivary amylase gene (AMY1) copy number was one of these variants, yet its association with obesity remains controversial. Our research aimed to provide more evidence on the relationship of AMY1 copy number variation (CNV) with body mass index (BMI) and body composition. We recruited 133 Chinese adults (65 males, 68 females, 18–25 years old) with normal fasting blood glucose and blood pressure levels. 19 males were selected for a 10-week intervention to change body composition. After anthropometric measurements, BMI was calculated, and body composition was measured using dual energy X-ray absorptiometry (DEXA). For the 19 selected participants, we collected their height, weight, and body composition data one more time after intervention. All participants were required to leave their saliva samples and their AMY1 copy number was determined by real-time fluorescence quantitative PCR. We failed to find any significant difference in BMI and body composition between different copy number groups. Only a weak correlation was found between body muscle mass and body fat mass. After adjusted for height and weight, AMY1 CNV explained 4.83% of the variance and one single increase in AMY1 CNV can increase 0.214 kg of the body muscle mass, while one single increase in AMY1 CNV can decrease 0.217 kg of the body fat mass and explained 4.69% of the variance. As a genetic factor, the AMY1 gene copy number variation has only a minor correlation with BMI and body composition, and its effect can easily be hidden by other factors such as individual diet and exercise habit.",{"EN":1862},"Salivary amylase gene (AMY1) copy number variation has only a minor correlation with body composition in Chinese 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