Andersen C L, Jensen J L, Ørntoft T F. 2004. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Research, 64, 5245–5250.Artico S, Nardeli S M, Brilhante O, Grossi-De-Sa M F, Alves-Ferreira M. 2010. Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data. BMC Plant Biology, 10, 1–12.Ashraf M, McNeilly T. 2004. Salinity tolerance in Brassica oilseeds. Critical Reviews in Plant Sciences, 23, 157–174.Avice J C, Etienne P. 2014. Leaf senescence and nitrogen remobilization efficiency in oilseed rape (Brassica napus L.). Journal of Experimental Botany, 65, 3813–3824.Bergmüller E, Gehrig P M, Gruissem W. 2007. Characterization of post-translational modifications of histone H2B-variants isolated from Arabidopsis thaliana. Journal of Proteome Research, 6, 3655–3668.Bouain N, Kisko M, Rouached A, Dauzat M, Lacombe B, Belgaroui N, Ghnaya T, Davidian J C, Berthomieu, Abdelly C, Rouached H. 2014. Phosphate/zinc interaction analysis in two lettuce varieties reveals contrasting effects on biomass, photosynthesis, and dynamics of Pi transport. BioMed Research International, 2014, 548254.Chalhoub B, Denoeud F, Liu S Y, Parkin I A P, Tang H B, Wang X Y, Chiquet J, Belcram H, Tong C B, Samans B, Corréa M, Da Silva C, Just J, Falentin C, Koh C S, Le Clainche I, Bernard M, Bento P, Noel B, Labadie K, et al. 2014. Early allopolyploid evolution in the post-neolithic Brassica napus oilseed genome. Science, 345, 950–953.Czechowski T, Stitt M, Altmann T, Udvardi M K, Scheible W R. 2005. Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis. Plant Physiology, 139, 5–17.Ferdous J, Li Y, Reid N, Langridge P, Shi B J, Tricker P J. 2015. Identification of reference genes for quantitative expression qnalysis of microRNAs and mRNAs in barley under various stress conditions. PLOS ONE, 10, e0118503-e0118503.Ferradás Y, Rey L, Martínez Ó, Rey M, González M V. 2016. Identification and validation of reference genes for accurate normalization of real-time quantitative PCR data in kiwifruit. Plant Physiology and Biochemistry, 102, 27–36.Ginzinger D G. 2002. Gene quantification using real-time quantitative PCR: An emerging technology hits the mainstream. Experimental Hematology, 30, 503–512.Hao X Y, Horvath D P, Chao W S, Yang Y J, Wang X C, Xiao B. 2014. Identification and evaluation of reliable reference genes for quantitative real-time PCR analysis in tea plant (Camellia sinensis (L.) O. Kuntze). International Journal of Molecular Sciences, 15, 22155–22172.Jain M, Nijhawan A, Tyagi A K, Khurana J P. 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.Jensen C R, Mogensen V O, Mortensen G, Andersen M N, Schjoerring J K, Thage J H, Koribidis J. 1996. Leaf photosynthesis and drought adaptation in field-grown oilseed rape (Brassica napus L.). Functional Plant Biology, 23, 631–644.Livak K J, Schmittgen T D. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods, 25, 402–408.Mourato M, Moreira I, Leitão I, Pinto F, Sales J, Martins L. 2015. Effect of heavy metals in plants of the genus Brassica. International Journal of Molecular Sciences, 16, 17975–17998.Pollier J, Bossche R V, Rischer H, Goossens A. 2014. Selection and validation of reference genes for transcript normalization in gene expression studies in Catharanthus roseus. Plant Physiology and Biochemistry, 83, 20–25.Qi J N, Yu S C, Zhang F L, Shen X Q, Zhao X Y, Yu Y J, Zhang D S. 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, 597–604.Ren F, Chen L, Guo Q Q, Zhong H, Wu Y, Chang L L, Li X B. 2011. Identification and expression analysis of genes induced by phosphate starvation in leaves and roots of Brassica napus. Plant Growth Regulation, 65, 65–81.Roberta Fogliatto M, Luisa Abruzzi D O, Voorhuijzen M M, Martijn S, Hutten R C B, Dijk J P, Van Esther K, Jeverson F. 2015. Selection of reference genes for transcriptional analysis of edible tubers of potato (Solanum tuberosum L.). PLOS ONE, 10, e0120854. Saenchai C, Bouain N, Kisko M, Prom-u-thai C, Doumas P, Rouached H. 2016. The involvement of OsPHO1;1 in the regulation of iron transport through integration of phosphate and zinc deficiency signalling. Frontiers in Plant Science, 7, 396.Shi T X, Li R Y, Zhao Z K, Ding G D, Long Y, Meng J L, Xu F S, Shi L. 2013. QTL for yield traits and their association with functional genes in response to phosphorus deficiency in Brassica napus. PLOS ONE, 8, 1970–1970.Vandesompele J, Preter K D, Pattyn F, Poppe B, Roy N V, Paepe A D, Speleman F. 2002. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biology, 3, 1-11.Wang Z, Chen Y, Fang H D, Shi H F, Chen K P, Zhang Z Y, Tan X L. 2014. Selection of reference genes for quantitative reverse-transcription polymerase chain reaction normalization in Brassica napus under various stress conditions. Molecular and General Genetics, 289, 1023–1035.Zhang H W, Yu H, Ye X S, Xu F S. 2010. Analysis of the contribution of acid phosphatase to P efficiency in Brassica napus under low phosphorus conditions. Science China (Life Sciences), 53, 709–717.Zhuang H H, Fu Y P, He W, Wang L W, Wei Y H. 2015. Selection of appropriate reference genes for quantitative real-time PCR in Oxytropis ochrocephala Bunge using transcriptome datasets under abiotic stress treatments. Frontiers in Plant Science, 6, 475. |