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RNA-Seq Analysis of Spatiotemporal Gene Expression Patterns During Fruit Development Revealed Reference Genes for Transcript Normalization in Plums

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Abstract

Transcriptional analysis that uncovers fruit ripening-related gene regulatory networks is increasingly important to maximize quality and minimize losses of economically important fruits such as plums. RNA sequencing (RNA-Seq) and quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) are important tools to perform high-throughput transcriptomics. The success of transcriptomics depends on the high-quality transcripts from polyphenolic- and polysaccharide-enriched plum fruits, whereas reliability of quantification data relies on accurate normalization using suitable reference gene(s). We optimized a procedure for high-quality RNA isolation from vegetative and reproductive tissues of climacteric and non-climacteric plum cultivars and conducted high-throughput transcriptomics. We identified 20 candidate reference genes from significantly non-differentially expressed transcripts of RNA-Seq data and verified their expression stability using qRT-PCR on a total of 141 plum samples which included flesh, peel, and leaf tissues of several cultivars collected from three locations over a 3-year period. Stability analyses of threshold cycle (C T) values using BestKeeper, delta (Δ) CT, NormFinder, geNorm, and RefFinder software revealed S AND protein-related trafficking protein (MON), elongation factor 1 alpha (EF1α), and initiation factor 5A (IF5A) as the best reference genes for precise transcript normalization across different tissue samples. We monitored spatiotemporal expression patterns of differentially expressed transcripts during the developmental process after accurate normalization of qRT-PCR data using combination of two best reference genes. This study also offers a guideline to select best reference genes for future gene expression studies in other plum cultivars.

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References

  • Abdi N, Holford P, McGlasson WB, Mizrahi Y (1997) Ripening behaviour and responses to propylene in four cultivars of Japanese type plums. Postharvest Biol Technol 12:21–34

    Article  CAS  Google Scholar 

  • Abdi N, McGlasson WB, Holford P, Williams M, Mizrahi Y (1998) Responses of climacteric and suppressed-climacteric plums to treatment with propylene and 1-methylcyclopropene. Postharvest Biology and Technology 14:29–39

    Article  CAS  Google Scholar 

  • Amil-Ruiz F, Garrido-Gala J, Blanco-Portales R, Folta KM, Munoz-Blanco J, Caballero JL (2013) Identification and validation of reference genes for transcript normalization in strawberry (Fragaria x ananassa) defense responses. PLoS One 8:e70603

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Andersen CL, Jensen JL, Orntoft TF (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 Res 64:5245–5250

    Article  PubMed  CAS  Google Scholar 

  • Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT (2009) The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem 55:611–622

    Article  PubMed  CAS  Google Scholar 

  • Chang S, Puryear J, Cairney J (1993) A simple and efficient method for isolating RNA from pine trees. Plant Mol Biol Report 11:113–116

    Article  CAS  Google Scholar 

  • Chen D, Pan X, Xiao P, Farwell MA, Zhang B (2011a) Evaluation and identification of reliable reference genes for pharmacogenomics, toxicogenomics, and small RNA expression analysis. J Cell Physiol 226:2469–2477

    Article  PubMed  CAS  Google Scholar 

  • Chen L, Zhong HY, Kuang JF, Li JG, Lu WJ, Chen JY (2011b) Validation of reference genes for RT-qPCR studies of gene expression in banana fruit under different experimental conditions. Planta 234:377–390

    Article  PubMed  CAS  Google Scholar 

  • Chomczynski P, Sacchi N (1987) Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem 162:156–159

    Article  PubMed  CAS  Google Scholar 

  • Coito JL, Rocheta M, Carvalho L, Amancio S (2012) Microarray-based uncovering reference genes for quantitative real time PCR in grapevine under abiotic stress. BMC Res Notes 5:220

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Czechowski T, Bari RP, Stitt M, Scheible W-R, Udvardi MK (2004) Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes. Plant J 38:366–379

    Article  PubMed  CAS  Google Scholar 

  • 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 Physiol 139:5–17

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • de Oliveira LA, Breton MC, Bastolla FM, Camargo Sda S, Margis R, Frazzon J, Pasquali G (2012) Reference genes for the normalization of gene expression in eucalyptus species. Plant Cell Physiol 53:405–422

    Article  PubMed  CAS  Google Scholar 

  • Die JV, Roman B (2012) RNA quality assessment: a view from plant qPCR studies. J Exp Bot 63:6069–6077

    Article  PubMed  CAS  Google Scholar 

  • El-Sharkawy I, Kim WS, El-Kereamy A, Jayasankar S, Svircev AM, Brown DCW (2007) Isolation and characterization of four ethylene signal transduction elements in plums (Prunus salicina L.). J Exp Bot 58:3631–3643

    Article  PubMed  CAS  Google Scholar 

  • El-Sharkawy I, Kim WS, Jayasankar S, Svircev AM, Brown DCW (2008) Differential regulation of four members of the ACC synthase gene family in plum. J Exp Bot 59:2009–2027

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • El-Sharkawy I, Sherif S, Mila I, Bouzayen M, Jayasankar S (2009) Molecular characterization of seven genes encoding ethylene-responsive transcriptional factors during plum fruit development and ripening. J Exp Bot 60:907–922

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Exposito-Rodriguez M, Borges A, Borges-Perez A, Perez J (2008) Selection of internal control genes for quantitative real-time RT-PCR studies during tomato development process. BMC Plant Biol 8:131

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Faragher JD, Brohier RL (1984) Anthocyanin accumulation in apple skin during ripening: regulation by ethylene and phenylalanine ammonia-lyase. Sci Hortic 22:89–96

    Article  CAS  Google Scholar 

  • Gimeno J, Eattock N, Van Deynze A, Blumwald E (2014) Selection and validation of reference genes for gene expression analysis in switchgrass (Panicum virgatum) using quantitative real-time RT-PCR. PLoS ONE 9:e91474

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Giovannoni JJ (2004) Genetic regulation of fruit development and ripening. Plant Cell Online 16:S170–S180

    Article  CAS  Google Scholar 

  • Gonzalez-Aguero M, Garcia-Rojas M, Di Genova A, Correa J, Maass A, Orellana A, Hinrichsen P (2013) Identification of two putative reference genes from grapevine suitable for gene expression analysis in berry and related tissues derived from RNA-Seq data. BMC Genomics 14:878

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Guenin S, Mauriat M, Pelloux J, Van Wuytswinkel O, Bellini C, Gutierrez L (2009) Normalization of qRT-PCR data: the necessity of adopting a systematic, experimental conditions-specific, validation of references. J Exp Bot 60:487–493

    Article  PubMed  CAS  Google Scholar 

  • Gutierrez L, Mauriat M, Guenin S, Pelloux J, Lefebvre JF, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Van Wuytswinkel O (2008) The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants. Plant Biotechnol J 6:609–618

    Article  PubMed  CAS  Google Scholar 

  • Imai T, Ubi BE, Saito T, Moriguchi T (2014) Evaluation of reference genes for accurate normalization of gene expression for real time-quantitative PCR in Pyrus pyrifolia using different tissue samples and seasonal conditions. PLoS One 9:e86492

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Kim H-Y, Farcuh M, Cohen Y, Crisosto C, Sadka A, Blumwald E (2015) Non-climacteric ripening and sorbitol homeostasis in plum fruits. Plant Sci 231:30–39

    Article  PubMed  CAS  Google Scholar 

  • Kohl M (2007) SLqPCR: functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH. R Package, SIRS-Lab GmbH, Jena

    Google Scholar 

  • Kozera B, Rapacz M (2013) Reference genes in real-time PCR. J Appl Genet 54:391–406

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinforma (Oxford England) 25:1754–1760

    Article  CAS  Google Scholar 

  • López-Gómez R, Gómez-Lim MA (1992) A method for extracting intact RNA from fruits rich in polysaccharides using ripe mango mesocarp. HortSci 27:440–442

    Google Scholar 

  • Mafra V, Kubo KS, Alves-Ferreira M, Ribeiro-Alves M, Stuart RM, Boava LP, Rodrigues CM, Machado MA (2012) Reference genes for accurate transcript normalization in citrus genotypes under different experimental conditions. PLoS ONE 7:e31263

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • McCarthy DJ, Chen Y, Smyth GK (2012) Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Res 40:4288–4297

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Meisel L, Fonseca B, Gonzalez S, Baeza-Yates R, Cambiazo V, Campos R, Gonzalez M, Orellana A, Retamales J, Silva H (2005) A rapid and efficient method for purifying high quality total RNA from peaches (Prunus persica) for functional genomics analyses. Biol Res 38:83–88

    Article  PubMed  CAS  Google Scholar 

  • Okie W, Ramming D (1999) Plum breeding worldwide. HortTechnology 9:162–176

    Google Scholar 

  • Osorio S, Fernie AR (2013) Biochemistry of fruit ripening. The Molecular Biology and Biochemistry of Fruit Ripening. Blackwell Publishing Ltd., In, pp 1–19

    Book  Google Scholar 

  • Pech J-C, Bouzayen M, Latché A (2008) Climacteric fruit ripening: ethylene-dependent and independent regulation of ripening pathways in melon fruit. Plant Sci 175:114–120

    Article  CAS  Google Scholar 

  • Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP (2004) Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper—Excel-based tool using pair-wise correlations. Biotechnol Lett 26:509–515

    Article  PubMed  CAS  Google Scholar 

  • Prasanna V, Prabha TN, Tharanathan RN (2007) Fruit ripening phenomena—an overview. Crit Rev Food Sci Nutr 47:1–19

    Article  PubMed  CAS  Google Scholar 

  • Ramakers C, Ruijter JM, Deprez RH, Moorman AF (2003) Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neurosci Lett 339:62–66

    Article  PubMed  CAS  Google Scholar 

  • Reid KE, Olsson N, Schlosser J, Peng F, Lund ST (2006) An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development. BMC Plant Biol 6:27

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Rio DC, Ares M, Hannon GJ, Nilsen TW (2010) Purification of RNA using TRIzol (TRI Reagent). Cold Spring Harbor Protocols 2010:pdb.prot5439

  • Ruiz-May E, Rose JKC (2013) Cell wall architecture and metabolism in ripening fruit and the complex relationship with softening. In: The molecular biology and biochemistry of fruit ripening. Blackwell Publishing Ltd., pp 163–187.

  • Saha P, Blumwald E (2014) Assessing reference genes for accurate transcript normalization using quantitative real-time PCR in pearl millet [Pennisetum glaucum (L.) R. Br.]. PLoS ONE 9:e106308

    Article  PubMed  PubMed Central  Google Scholar 

  • Saha P, Ray T, Tang Y, Dutta I, Evangelous NR, Kieliszewski MJ, Chen Y, Cannon MC (2013) Self-rescue of an EXTENSIN mutant reveals alternative gene expression programs and candidate proteins for new cell wall assembly in Arabidopsis. Plant J 75:104–116

    Article  PubMed  CAS  Google Scholar 

  • Silver N, Best S, Jiang J, Thein SL (2006) Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Mol Biol 7:33

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Singh Z, Khan AS (2010) Physiology of plum fruit ripening. Stewart Postharvest Review 6:1–10

    Article  Google Scholar 

  • Thellin O, Zorzi W, Lakaye B, De Borman B, Coumans B, Hennen G, Grisar T, Igout A, Heinen E (1999) Housekeeping genes as internal standards: use and limits. J Biotechnol 75:291–295

    Article  PubMed  CAS  Google Scholar 

  • Tong Z, Gao Z, Wang F, Zhou J, Zhang Z (2009) Selection of reliable reference genes for gene expression studies in peach using real-time PCR. BMC Mol Biol 10:71

    Article  PubMed  PubMed Central  Google Scholar 

  • Trainotti L, Zanin D, Casadoro G (2003) A cell wall-oriented genomic approach reveals a new and unexpected complexity of the softening in peaches. J Exp Bot 54:1821–1832

    Article  PubMed  CAS  Google Scholar 

  • Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL, Pachter L (2012) Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protocols 7:562–578

    Article  PubMed  CAS  Google Scholar 

  • 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:Research0034

  • Wan H, Zhao Z, Qian C, Sui Y, Malik AA, Chen J (2010) Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber. Anal Biochem 399:257–261

    Article  PubMed  CAS  Google Scholar 

  • Wang L, Wang Y, Zhou P (2013) Validation of reference genes for quantitative real-time PCR during Chinese wolfberry fruit development. Plant Physiol Biochemistry PPB/Soc Fri Physiol Veg 70:304–310

    Article  CAS  Google Scholar 

  • Wong ML, Medrano JF (2005) Real-time PCR for mRNA quantitation. BioTech 39:75–85

    Article  CAS  Google Scholar 

  • Zhong HY, Chen JW, Li CQ, Chen L, Wu JY, Chen JY, Lu WJ, Li JG (2011) Selection of reliable reference genes for expression studies by reverse transcription quantitative real-time PCR in litchi under different experimental conditions. Plant Cell Rep 30:641–653

    Article  PubMed  CAS  Google Scholar 

  • Zhu X, Li X, Chen W, Chen J, Lu W, Chen L, Fu D (2012) Evaluation of new reference genes in papaya for accurate transcript normalization under different experimental conditions. PLoS ONE 7:e44405

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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Acknowledgments

This research was supported by the Will W. Lester Endowment of the University of California to E.B.. M.F. is a recipient of a fellowship from the Programa Formacion de Capital Humano Avanzado CONICYT, Chile. The authors are thankful to Dr. Ellen Tumimbang for technical support.

Conflict of Interest

The authors declared that they have no conflict of interest.

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Correspondence to Eduardo Blumwald.

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Ho-Youn Kim and Prasenjit Saha contributed equally to this work.

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Fig. S1

Illustration of plum fruit developmental changes and tissue samples used to evaluate reference genes. Fruits from developmental stages, except S1 (early stage), Stage 2 (S2, pit hardening), Stage 3 (S3, 2nd exponential growth phase) and Stage 4 (S4, ripe stage) of cultivars BB (Burbank), BG (Burgundy), DL (Dolly), EH (Elephant Heart), MT (Methley), SK (Simka), SR (Santa Rosa), SM (Sweet Miriam), QA (Queen Ann) were included in the study. See Table S1 for detailed sample description. (GIF 32 kb)

High resolution image (TIFF 2,741 kb)

Fig. S2

Non-differential expression patterns of 20 potential reference genes from RNA-Seq analyses. Data showed log-transformed values of total RNA-Seq reads from immature stage (IS, S2) and ripe stage (RS, S4) of a climacteric cultivar (SR) and a non- climacteric cultivar (SM) in three biological replicates (R1, R2, and R3) collected during 2011. Green-yellow-red color scale depicts low-medium-high expression levels of each gene. See Table 3 for detail characteristic of candidate reference genes and Fig. S1 for developmental stages. (GIF 137 kb)

High resolution image (TIFF 8,285 kb)

Fig. S3

Dissociation curve analyses for the conformation of specific qRT-PCR amplification from each primer pair. Melt curves showing the single peak generated after qRT-PCR using gene specific primer pair from each sample. Arrow head represents no template controls (NTC). (GIF 260 kb)

High resolution image (TIFF 10,073 kb)

Fig. S4

Conformation of specificity of primer pairs for precise amplification of reference gene after qRT-PCR. Agarose gel showing the expected amplicon size from each primer pair after qRT-PCR of cDNAs pooled form all samples. Lane name corresponds to each reference gene used for qRT-PCR. M1 and M2 represent 50 base pair (bp) and 100 bp DNA size marker, respectively. (GIF 46 kb)

High resolution image (TIFF 813 kb)

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Table S1

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Table S2

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Table S3

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Table S4

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Table S5

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Kim, HY., Saha, P., Farcuh, M. et al. RNA-Seq Analysis of Spatiotemporal Gene Expression Patterns During Fruit Development Revealed Reference Genes for Transcript Normalization in Plums. Plant Mol Biol Rep 33, 1634–1649 (2015). https://doi.org/10.1007/s11105-015-0860-3

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