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2012
Y. D. Sun, Liang, Y., Wu, J. M., Li, Y. Z., Cui, X., and Qin, L., Dynamic QTL analysis for fruit lycopene content and total soluble solid content in a Solanum lycopersicum x S. pimpinellifolium cross, vol. 11, pp. 3696-3710, 2012.
Arazuri S, Jarén C, Arana JI and Pérez de Ciriza JJ (2007). Influence of mechanical harvest on the physical properties of processing tomato (Lycopersicon esculentum Mill.). J. Food Eng. 80: 190-198. http://dx.doi.org/10.1016/j.jfoodeng.2006.05.008   Bernacchi D, Beck-Bunn T, Eshed Y, Lopez J, et al. (1998). Advanced backcross QTL analysis in tomato. I. Identification of QTLs for traits of agronomic importance from Lycopersicon hirsutum. Theor. Appl. Genet. 97: 381-397. http://dx.doi.org/10.1007/s001220050908   Cagas CC, Lee OL, Keisuke N and Nobuo S (2008). Quantitative trait loci controlling flowering time and related traits in a Solanum lycopersicum x S. pimpinellifolium cross. Sci. Hort. 116: 144-151. http://dx.doi.org/10.1016/j.scienta.2007.12.003   Causse M, Saliba-Colombani V, Lecomte L, Duffe P, et al. (2002). QTL analysis of fruit quality in fresh market tomato: a few chromosome regions control the variation of sensory and instrumental traits. J. Exp. Bot. 53: 2089-2098. http://dx.doi.org/10.1093/jxb/erf058 PMid:12324532   Causse M, Duffe P, Gomez MC, Buret M, et al. (2004). A genetic map of candidate genes and QTLs involved in tomato fruit size and composition. J. Exp. Bot. 55: 1671-1685. http://dx.doi.org/10.1093/jxb/erh207 PMid:15258170   Causse M, Chaib J, Lecomte L, Buret M, et al. (2007). Both additivity and epistasis control the genetic variation for fruit quality traits in tomato. Theor. Appl. Genet. 115: 429-442. http://dx.doi.org/10.1007/s00122-007-0578-1 PMid:17571252   Chaib J, Lecomte L, Buret M and Causse M (2006). Stability over genetic backgrounds, generations and years of quantitative trait locus (QTLs) for organoleptic quality in tomato. Theor. Appl. Genet. 112: 934-944. http://dx.doi.org/10.1007/s00122-005-0197-7 PMid:16402187   Chen FQ, Foolad MR, Hyman J, Clair DASt, et al. (1999). Mapping of QTLs for lycopene and other fruit traits in a Lycopersicon esculentum x L. pimpinellifolium cross and comparison of QTLs across tomato species. Mol. Breed. 5: 283-299. http://dx.doi.org/10.1023/A:1009656910457   Doganlar S, Frary A, Ku HM and Tanksley SD (2002). Mapping quantitative trait loci in inbred backcross lines of Lycopersicon pimpinellifolium (LA1589). Genome 45: 1189-1202. http://dx.doi.org/10.1139/g02-091 PMid:12502266   Eshed Y and Zamir D (1996). Less-than-additive epistatic interactions of quantitative trait loci in tomato. Genetics 143: 1807-1817. PMid:8844166 PMCid:1207441   Foolad MR (2007). Genome mapping and molecular breeding of tomato. Int. J. Plant Genomics 2007: 64358. http://dx.doi.org/10.1155/2007/64358 PMid:18364989 PMCid:2267253   Frary A, Fulton TM, Zamir D and Tanksley SD (2004). Advanced backcross QTL analysis of a Lycopersicon esculentum x L. pennellii cross and identification of possible orthologs in the Solanaceae. Theor. Appl. 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Genet. 92: 935-951. http://dx.doi.org/10.1007/BF00224033   Grandillo S, Ku HM and Tanksley SD (1999). Identifying the loci responsible for natural variation in fruit size and shape in tomato. Theor. Appl. Genet. 99: 978-987. http://dx.doi.org/10.1007/s001220051405   Gur A and Zamir D (2004). Unused natural variation can lift yield barriers in plant breeding. PLoS Biol. 2: e245. http://dx.doi.org/10.1371/journal.pbio.0020245 PMid:15328532 PMCid:514488   Gur A, Semel Y, Osorio S, Friedmann M, et al. (2011). Yield quantitative trait loci from wild tomato are predominately expressed by the shoot. Theor. Appl. Genet. 122: 405-420. http://dx.doi.org/10.1007/s00122-010-1456-9 PMid:20872209 PMCid:3021191   Heather EY, Anne F, Sami D, Anna F, et al. (2004). Comparative fine mapping of fruit quality QTLs on chromosome 4 introgressions derived from two wild tomato species. Euphytica 135: 283-296. http://dx.doi.org/10.1023/B:EUPH.0000013314.04488.87   Kader AA (1986). Effects of postharvest handling procedures on tomato quality. Acta Hort. 190: 209-221.   Ku HM, Grandillo S and Tanksley SD (2000). fs8.1, a major QTL, sets the pattern of tomato carpel shape well before anthesis. Theor. Appl. Genet. 101: 873-878. http://dx.doi.org/10.1007/s001220051555   Kuan-Hung L, Wei-Lung Y, Huei-Mei C and Hsiao-Feng L (2010). Quantitative trait loci influencing fruit-related characteristics of tomato grown in high-temperature conditions. Euphytica 174: 119-135. http://dx.doi.org/10.1007/s10681-010-0147-6   Lavecchia R and Zuorro A (2008). Improved lycopene extraction from tomato peels using cell-wall degrading enzymes. Eur. Food Res. Technol. 228: 153-158. http://dx.doi.org/10.1007/s00217-008-0897-8   Lecomte L, Duffe P, Buret M, Servin B, et al. (2004). Marker-assisted introgression of five QTLs controlling fruit quality traits into three tomato lines revealed interactions between QTLs and genetic backgrounds. Theor. Appl. Genet. 109: 658-668. http://dx.doi.org/10.1007/s00122-004-1674-0 PMid:15112037   Ma F and Cheng L (2003). The sun-exposed peel of apple fruit has higher xanthophyll cycle-dependent thermal dissipation and antioxidants of the ascorbate-glutathione pathway than the shaded peel. Plant Sci. 165: 819-827. http://dx.doi.org/10.1016/S0168-9452(03)00277-2   Riadh I, Chafik H, Marcello SL, Imen T, et al. (2011). Antioxidant activity and bioactive compound changes during fruit ripening of high-lycopene tomato cultivars. J. Food Compost. Anal. 24: 588-595. http://dx.doi.org/10.1016/j.jfca.2010.11.003   Roberto L and Antonio Z (2008). Improved lycopene extraction from tomato peels using cell-wall degrading enzymes. Eur. Food Res. Technol. 228: 153-158. http://dx.doi.org/10.1007/s00217-008-0897-8   Rousseaux MC, Jones CM, Adams D, Chetelat R, et al. (2005). QTL analysis of fruit antioxidants in tomato using Lycopersicon pennellii introgression lines. Theor. Appl. Genet. 111: 1396-1408. http://dx.doi.org/10.1007/s00122-005-0071-7 PMid:16177901   Saliba-Colombani V, Causse M, Langlois D, Philouze J, et al. (2001). Genetic analysis of organoleptic quality in fresh market tomato. 1. Mapping QTLs for physical and chemical traits. Theor. Appl. Genet. 102: 259-272. http://dx.doi.org/10.1007/s001220051643   Semel Y, Nissenbaum J, Menda N, Zinder M, et al. (2006). Overdominant quantitative trait loci for yield and fitness in tomato. Proc. Natl. Acad. Sci. U. S. A. 103: 12981-12986. http://dx.doi.org/10.1073/pnas.0604635103 PMid:16938842 PMCid:1552043   Shirasawa K, Asamizu E, Fukuoka H, Ohyama A, et al. (2010). An interspecific linkage map of SSR and intronic polymorphism markers in tomato. Theor. Appl. Genet. 121: 731-739. http://dx.doi.org/10.1007/s00122-010-1344-3 PMid:20431859 PMCid:2909429   Sonah H, Deshmukh RK, Singh VP, Gupta DK, et al. (2011). Genomic resources in horticultural crops: status, utility and challenges. Biotechnol. Adv. 29: 199-209. http://dx.doi.org/10.1016/j.biotechadv.2010.11.002 PMid:21094247   Tanksley SD, Grandillo S, Fulton TM, Zamir D, et al. (1996). Advanced backcross QTL analysis in a cross between an elite processing line of tomato and its wild relative L. pimpinellifolium. Theor. Appl. Genet. 92: 213-224. http://dx.doi.org/10.1007/BF00223378   Thorup TA, Tanyolac B, Livingstone KD, Popovsky S, et al. (2000). Candidate gene analysis of organ pigmentation loci in the Solanaceae. Proc. Natl. Acad. Sci. U. S. A. 97: 11192-11197. http://dx.doi.org/10.1073/pnas.97.21.11192 PMid:11027328 PMCid:17176   Wu M and Kubota C (2008). Effects of high electrical conductivity of nutrient solution and its application timing on lycopene, chlorophyll and sugar concentrations of hydroponic tomatoes during ripening. Sci. Hort. 116: 122-129. http://dx.doi.org/10.1016/j.scienta.2007.11.014   Yong-Sheng L, Amit G, Ronen G, Causse M, et al. (2003). There is more to tomato fruit colour than candidate carotenoid genes. Plant Biotechnol. J. 1: 195-207. http://dx.doi.org/10.1046/j.1467-7652.2003.00018.x PMid:17156032
Y. R. Gu, Liang, Y., Gong, J. J., Zeng, K., Li, Z. Q., Lei, Y. F., He, Z. P., and Lv, X. B., Suitable internal control microRNA genes for measuring miRNA abundance in pig milk during different lactation periods, vol. 11. pp. 2506-2512, 2012.
Bartel DP (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116: 281-297. http://dx.doi.org/10.1016/S0092-8674(04)00045-5   Bartels CL and Tsongalis GJ (2009). MicroRNAs: novel biomarkers for human cancer. Clin. Chem. 55: 623-631. http://dx.doi.org/10.1373/clinchem.2008.112805 PMid:19246618   Bustin SA (2000). Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J. Mol. Endocrinol. 25: 169-193. http://dx.doi.org/10.1677/jme.0.0250169 PMid:11013345   Chang KH, Mestdagh P, Vandesompele J, Kerin MJ, et al. (2010). MicroRNA expression profiling to identify and validate reference genes for relative quantification in colorectal cancer. BMC Cancer 10: 173. http://dx.doi.org/10.1186/1471-2407-10-173 PMid:20429937 PMCid:2873395   Davoren PA, McNeill RE, Lowery AJ, Kerin MJ, et al. (2008). Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer. BMC Mol. Biol. 9: 76. http://dx.doi.org/10.1186/1471-2199-9-76 PMid:18718003 PMCid:2533012   de Kok JB, Roelofs RW, Giesendorf BA, Pennings JL, et al. (2005). Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Lab. Invest. 85: 154-159. PMid:15543203   Gu YR, Li MZ, Zhang K, Chen L, et al. (2011). Evaluation of endogenous control genes for gene expression studies across multiple tissues and in the specific sets of fat- and muscle-type samples of the pig. J. Anim. Breed. Genet. 128: 319-325. http://dx.doi.org/10.1111/j.1439-0388.2011.00920.x PMid:21749479   Kim HJ, Cui XS, Kim EJ, Kim WJ, et al. (2006). New porcine microRNA genes found by homology search. Genome 49: 1283-1286. http://dx.doi.org/10.1139/g06-120 PMid:17213910   Li G, Li Y, Li X, Ning X, et al. (2011). MicroRNA identity and abundance in developing swine adipose tissue as determined by Solexa sequencing. J. Cell Biochem. 112: 1318-1328. http://dx.doi.org/10.1002/jcb.23045 PMid:21312241   Mortarino M, Gioia G, Gelain ME, Albonico F, et al. (2010). Identification of suitable endogenous controls and differentially expressed microRNAs in canine fresh-frozen and FFPE lymphoma samples. Leuk. Res. 34: 1070-1077. http://dx.doi.org/10.1016/j.leukres.2009.10.023 PMid:19945163   Nolan T, Hands RE and Bustin SA (2006). Quantification of mRNA using real-time RT-PCR. Nat. Protoc. 1: 1559-1582. http://dx.doi.org/10.1038/nprot.2006.236 PMid:17406449   Peltier HJ and Latham GJ (2008). Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues. RNA 14: 844-852. http://dx.doi.org/10.1261/rna.939908 PMid:18375788 PMCid:2327352   Schaefer A, Jung M, Miller K, Lein M, et al. (2010). Suitable reference genes for relative quantification of miRNA expression in prostate cancer. Exp. Mol. Med. 42: 749-758. http://dx.doi.org/10.3858/emm.2010.42.11.076 PMid:20890088 PMCid:2992854   Stahlberg A, Hakansson J, Xian X, Semb H, et al. (2004). Properties of the reverse transcription reaction in mRNA quantification. Clin. Chem. 50: 509-515. http://dx.doi.org/10.1373/clinchem.2003.026161 PMid:14726469   Vandesompele J, De Preter K, Pattyn F, Poppe B, et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3: RESEARCH0034.   Xie SS, Huang TH, Shen Y, Li XY, et al. (2010). Identification and characterization of microRNAs from porcine skeletal muscle. Anim. Genet. 41: 179-190. http://dx.doi.org/10.1111/j.1365-2052.2009.01991.x PMid:19968636