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350 Functional Plant Biology D.Xiao et al. Basa B.Solti A.Sarvari E,Tamas L (2009)Housekeeping gene selection Ramakers C,Ruijter JM,Deprez RHL,Moorman AFM(2003)Assumption- in poplar plants under Cd-stress:comparative study for real-time PCR free analysis of quantitative real-time polymerase chain reaction (PCR) normalisation.Functional Plant Biology 36(12).1079-1087. data.Neuroscience Letters 339(1).62-66.doi:10.1016/S0304-3940(02) doi:10.1071/FP09073 01423-4 Brunner A,Yakovlev I,Strauss S (2004)Validating intemal controls for Ransbotyn V,Reusch TBH (2006)Housekeeping gene selection for quantitative plant gene expression studies.BMC Plant Biology 4(1).14. quantitative real-time PCR assays in the seagrass Zosters marina doi:10.1186/1471-2229-4-14 subjected to heat stress.Limnology and Oceanography.Methods Chen X,Truksa M,Shah S,Weselake RJ(2010)A survey of quantitative real- 4N0V,367-373.doi:10.4319/1om2006.4.367 time polymerase chain reaction intemal reference genes for expression ReidK,Olsson N,Schlosser J,Peng F,Lund S(2006)An optimized grapevine studies in Brassica napus.Analytical Biochemistry 405(1),138-140. 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Plant Molecular Biology Reporter 28(4),597-604.doi:10.1007/s11105- 010-0185-1 www.publish.csiro.au/journals/fpbBasa B, Solti Á, Sárvári É, Tamás L (2009) Housekeeping gene selection in poplar plants under Cd-stress: comparative study for real-time PCR normalisation. Functional Plant Biology 36(12), 1079–1087. doi:10.1071/FP09073 Brunner A, Yakovlev I, Strauss S (2004) Validating internal controls for quantitative plant gene expression studies. BMC Plant Biology 4(1), 14. doi:10.1186/1471-2229-4-14 Chen X, Truksa M, Shah S, Weselake RJ (2010) A survey of quantitative real￾time polymerase chain reaction internal reference genes for expression studies in Brassica napus. Analytical Biochemistry 405(1), 138–140. doi:10.1016/j.ab.2010.05.032 Czechowski T, Stitt M, Altmann T, Udvardi MK, Scheible WR (2005) Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis. Plant Physiology 139(1), 5–17. doi:10.1104/pp.105.063743 Ding J, Jia J, Yang L, Wen H, Zhang C, Liu W, Zhang D (2004) Validation of a rice specific gene, sucrose phosphate synthase, used as the endogenous reference gene for qualitative and real-time quantitative PCR detection of transgenes. Journal of Agricultural and Food Chemistry 52(11), 3372–3377. doi:10.1021/jf049915d Hong S-Y, Seo P, Yang M-S, Xiang F, Park C-M (2008) Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR.BMC Plant Biology 8(1), 112. doi:10.1186/1471-2229- 8-112 Jain M, Nijhawan A, Tyagi A, Khurana J (2006) Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR. Biochemical and Biophysical Research Communications 345, 646–651. doi:10.1016/j.bbrc.2006. 04.140 Jian B, Liu B, Bi Y, HouW,Wu C, Han T (2008) Validation of internal control for gene expression study in soybean by quantitative real-time PCR. BMC Molecular Biology 9, 59. Kim BR, Nam HY, Kim SU, Kim SI, Chang YJ (2003) Normalization of reverse transcription quantitative-PCR with housekeeping genes in rice. Biotechnology Letters 25(21), 1869–1872. doi:10.1023/A:10262980 32009 Lekanne Deprez RH, Fijnvandraat AC, Ruijter JM, Moorman AFM (2002) Sensitivity and accuracy of quantitative real-time polymerase chain reaction using SYBR green I depends on cDNA synthesis conditions. Analytical Biochemistry 307(1), 63–69. doi:10.1016/S0003-2697(02) 00021-0 Løvdal T, Lillo C (2009) Reference gene selection for quantitative real-time PCR normalization in tomato subjected to nitrogen, cold, and light stress. Analytical Biochemistry 387(2), 238–242. doi:10.1016/j.ab.2009.01.024 Martínez-Beamonte R, Navarro MA, Larraga A, Strunk M, Barranquero C, Acín S, GuzmanMA, Iñigo P, Osada J (2011) Selection of reference genes for gene expression studies in rats. Journal of Biotechnology 151(4), 325–334. doi:10.1016/j.jbiotec.2010.12.017 Paolacci A, Tanzarella O, Porceddu E, Ciaffi M (2009) Identification and validation of reference genes for quantitative RT-PCR normalization in wheat. BMC Molecular Biology 10(1), 11. doi:10.1186/1471-2199-10-11 Qi J, Yu S, Zhang F, Shen X, Zhao X, Yu Y, Zhang D (2010) Reference gene selection for real-time quantitative polymerase chain reaction of mRNA transcript levels in Chinese cabbage (Brassica rapa L. ssp. pekinensis). Plant Molecular Biology Reporter 28(4), 597–604. doi:10.1007/s11105- 010-0185-1 Ramakers C, Ruijter JM, Deprez RHL, Moorman AFM (2003) Assumption￾free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neuroscience Letters 339(1), 62–66. doi:10.1016/S0304-3940(02) 01423-4 Ransbotyn V, Reusch TBH (2006) Housekeeping gene selection for quantitative real-time PCR assays in the seagrass Zosters marina subjected to heat stress. Limnology and Oceanography, Methods 4(NOV), 367–373. doi:10.4319/lom.2006.4.367 Reid K, Olsson N, Schlosser J, Peng F, Lund S (2006) An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biology 6(1), 27. doi:10.1186/1471-2229-6-27 Remans T, Smeets K, Opdenakker K, Mathijsen D, Vangronsveld J, Cuypers A (2008) Normalisation of real-time RT-PCR gene expression measurements in Arabidopsis thaliana exposed to increased metal concentrations. Planta 227(6), 1343–1349. doi:10.1007/s00425-008- 0706-4 Silver N, Best S, Jiang J, Thein S (2006) Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Molecular Biology 7(1), 33. doi:10.1186/1471-2199-7-33 Singh R, Green M (1993) Sequence-specific binding of transfer RNA by glyceraldehyde-3-phosphate dehydrogenase. Science 259(5093), 365–368. doi:10.1126/science.8420004 Terrier N, Glissant D, Grimplet J, Barrieu F, Abbal P, Couture C, Ageorges A, Atanassova R, Léon C, Renaudin J-P, Dédaldéchamp F, Romieu C, Delrot S, Hamdi S (2005) Isogene specific oligo arrays reveal multifaceted changes in gene expression during grape berry (Vitis vinifera L.) development. Planta 222(5), 832–847. doi:10.1007/s00425-005-0017-y The Brassica rapa Genome Sequencing Project Consortium (2011) The genome of the mesopolyploid crop species Brassica rapa. Nature Genetics 43, 1035–1039. doi:10.1038/ng.919 Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology 3(7), research0034–research0034. doi:10.1186/ gb-2002-3-7-research0034 Wierschke S, Gigout S, Horn P, Lehmann TN, Dehnicke C, Bräuer AU, Deisz RA (2010) Evaluating reference genes to normalize gene expression in human epileptogenic brain tissues. Biochemical and Biophysical Research Communications 403(3–4), 385–390. doi:10.1016/j.bbrc.2010. 10.138 Zhao J, Paulo M-J, Jamar D, Lou P, van Eeuwijk F, Bonnema G, Vreugdenhil D, Koornneef M (2007) Association mapping of leaf traits, flowering time, and phytate content in Brassica rapa. Genome 50(10), 963–973. doi:10.1139/G07-078 Zhao J, Artemyeva A, Del Carpio DP, Basnet RK, Zhang N, Gao J, Li F, Bucher J, Wang X, Visser RG, Bonnema G (2010) Design of a Brassica rapa core collection for association mapping studies. Genome 53(11), 884–898. 350 Functional Plant Biology D. Xiao et al. www.publish.csiro.au/journals/fpb
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