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A panel of the most suitable reference genes for RT-qPCR expression studies of coffee: screening their stability under different conditions

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Abstract

The reliability of analyses using real-time quantitative polymerase chain reaction (RT-qPCR) depends on the selection of appropriate reference genes to correct for sample-to-sample and run-to-run variations. The aim of the present study was to select the most suitable reference genes for gene expression analyses in tissue samples from coffee, Coffea arabica L. (Arabica) grown under well-watered (WW) and water-deficit (WD) conditions and C. canephora Pierre ex A. Froehner (Robusta) grown under WW conditions. Expression profiles and stabilities were evaluated for 12 reference genes in different tissues from C. arabica and for 8 genes in tissues from C. canephora. The web-based RefFinder tool, which combines the geNorm, NormFinder, Bestkeeper, and Delta-Ct algorithms, was employed to assess the stability of the tested genes. The most stable reference genes identified for all tissues grouped (WW/WD) of C. arabica were clathrin adaptor protein medium subunit (AP47), ubiquitin (UBQ), 60S ribosomal protein L39 (RPL39), and elongation factor 1α (EF1α), while class III alcohol dehydrogenase (ADH2), β-actin (ACT), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and ubiquitin (UBQ) genes were the most stable for all tissues grouped (WW) of C. canephora tissues. Validation by the expression level analysis of CaACO-like demonstrated that the use of the best and the worst set of reference genes produced different expression results. The results reinforce the general assumption that there is no universal reference gene and that it is essential to select the most appropriate gene for each individual experiment to apply adequate normalization procedures of RT-qPCR data.

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Acknowledgements

The authors thank the members of the Laboratory of Plant Molecular Physiology at the Universidade Federal de Lavras for their collaboration to this work and the Fundação Procafé for providing plant material to this study.

Funding

We also thank the National Institute of Science and Technology of Coffee (INCT-Café) for providing funding and the National Council for Scientific and Technological Development (CNPq), the Minas Gerais Research Foundation (FAPEMIG), and the Coordination of Improvement of Higher Education (CAPES) for grants.

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Correspondence to Antonio Chalfun-Júnior.

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The authors declare that they have no conflict of interest.

Additional information

Communicated by C. Chen

Electronic supplementary material

Online Resource 1

The RNA Integrity Number (RIN) Electrophoresis File Run Summary (Chip Summary) of the biological triplicates of RNA samples from WD Roots, WD Stems, WD Leaves and WW Roots of Coffea arabica. (PDF 256 kb)

Online Resource 2

The RNA Integrity Number (RIN) Electrophoresis File Run Summary (Chip Summary) of the biological triplicates of RNA samples from WW Stems, WW Leaves, WW Flowers and WW Fruits of Coffea arabica. (PDF 255 kb)

Online Resource 3

The RNA Integrity Number (RIN) Electrophoresis File Run Summary (Chip Summary) of the biological triplicates of RNA samples from WW Roots, WW Stems, WW Leaves and WD Flowers of Coffea canephora. (PDF 257 kb)

Online Resource 4

The RNA Integrity Number (RIN) Electrophoresis File Run Summary (Chip Summary) of the biological triplicates of RNA samples from WW Fruits of Coffea canephora. (PDF 254 kb)

Online Resource 5

Panel of the dissociation curves (Melt curves) of the primers of the candidate genes tested in Coffea arabica samples. The panels are named after the respective gene. The unique peaks show specificity of the primers. (GIF 3804 kb)

High resolution image (TIFF 4628 kb)

Online Resource 6

Panel of the dissociation curves (Melt curves) of the primers of the candidate genes tested in Coffea canephora samples. The panels are named after the respective gene. The unique peaks show specificity of the primers. (GIF 2213 kb)

High resolution image (TIFF 2145 kb)

Online Resource 7

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for all tissues grouped of C. arabica (GIF 30 kb)

High resolution image (TIFF 52 kb)

Online Resource 8

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for root of C. arabica under WW and WD conditions (GIF 30 kb)

High resolution image (TIFF 53 kb)

Online Resource 9

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for stem of C. arabica under WW and WD conditions (GIF 27 kb)

High resolution image (TIFF 49 kb)

Online Resource 10

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for leaf of C. arabica under WW and WD conditions (GIF 28 kb)

High resolution image (TIFF 50 kb)

Online Resource 11

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for leaf and root of C. arabica under WW and WD conditions (GIF 30 kb)

High resolution image (TIFF 52 kb)

Online Resource 12

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for all tissues grouped of C. arabica under WD conditions (GIF 28 kb)

High resolution image (TIFF 50 kb)

Online Resource 13

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for root of C. arabica under WD conditions (GIF 27 kb)

High resolution image (TIFF 49 kb)

Online Resource 14

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for stem of C. arabica under WD conditions (GIF 25 kb)

High resolution image (TIFF 46 kb)

Online Resource 15

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for leaf of C. arabica under WD conditions (GIF 24 kb)

High resolution image (TIFF 44 kb)

Online Resource 16

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for all tissues grouped of C. arabica under WW conditions (GIF 28 kb)

High resolution image (TIFF 4396 kb)

Online Resource 17

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for root of C. arabica under WW conditions (GIF 25 kb)

High resolution image (TIFF 45 kb)

Online Resource 18

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for stem of C. arabica under WW conditions (GIF 26 kb)

High resolution image (TIFF 48 kb)

Online Resource 19

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for leaf of C. arabica under WW conditions (GIF 25 kb)

High resolution image (TIFF 47 kb)

Online Resource 20

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for flower of C. arabica under WW conditions (GIF 23 kb)

High resolution image (TIFF 43 kb)

Online Resource 21

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for fruit of C. arabica under WW conditions (GIF 25 kb)

High resolution image (TIFF 47 kb)

Online Resource 22

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for all tissues grouped of C. canephora under WW conditions (GIF 27 kb)

High resolution image (TIFF 52 kb)

Online Resource 23

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for root of C. canephora under WW conditions (GIF 24 kb)

High resolution image (TIFF 50 kb)

Online Resource 24

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for stem of C. canephora under WW conditions (GIF 23 kb)

High resolution image (TIFF 46 kb)

Online Resource 25

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for leaf of C. canephora under WW conditions. (GIF 21 kb)

High resolution image (TIFF 43 kb)

Online Resource 26

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for flower of C. canephora under WW conditions (GIF 21 kb)

High resolution image (TIFF 44 kb)

Online Resource 27

Pairwise variation (V) of the candidate reference genes calculated by GeNorm. Vn/Vn + 1 values were used for decision of the optimal number of reference genes for fruit of C. canephora under WW conditions (GIF 21 kb)

High resolution image (TIFF 44 kb)

Online Resource 28

RefFinder ranking for all conditions and combinations tested in C. arabica tissues. (XLSX 1211 kb)

Online Resource 29

RefFinder ranking for all conditions and combinations tested in C. canephora tissues. (XLSX 734 kb)

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Fernandes-Brum, C.N., Garcia, B.d.O., Moreira, R.O. et al. A panel of the most suitable reference genes for RT-qPCR expression studies of coffee: screening their stability under different conditions. Tree Genetics & Genomes 13, 131 (2017). https://doi.org/10.1007/s11295-017-1213-1

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  • DOI: https://doi.org/10.1007/s11295-017-1213-1

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