This is an outdated version published on 11-06-2023. Read the most recent version.
Forthcoming

Selection of stable housekeeping genes for gene expression studies in different varieties of black pepper (Piper nigrum L.)

Authors

DOI:

https://doi.org/10.14719/pst.2002

Keywords:

Normalization, Reference gene, RT-qPCR

Abstract

Real Time quantitative PCR (RT-qPCR) is a widely used technique to study the transcript level modulation of genes during developmental stages of crop plants as well as in stress responses. Suitable reference genes have not been validated in many plants including black pepper. In this study, expression stability of six commonly used housekeeping genes viz., actin, ?-tubulin, elongation factor, initiation factor, ubiquitin and glyceraldehyde 3- phosphate dehydrogenase were evaluated by RT-qPCR during the growth of the black pepper inflorescence of varieties viz., Panniyur 1, Karimunda and Thekken. The results were analyzed using geNorm and Normfinder statistical algorithms. Stable reference gene is critical for the accurate normalization of target gene data in RT-qPCR. In this study actin, elongation factor and initiation factor were identified as the most stable housekeeping gene in different black pepper varieties viz., Thekken, Panniyur 1 and Karimunda respectively. Actin in combination with GAPDH and elongation factor were obtained as optimal reference genes for Thekken. It is the first report on identification of stable housekeeping gene in different varieties of black pepper and can aid in expression studies in black pepper for yield improvement. The study will aid in normalization of gene expression studies in different varieties of black pepper.

Downloads

Download data is not yet available.

References

Huggett J, Dheda K, Bustin S, Zumla A. Real-time RT-PCR normalisation: strategies and considerations. Genes Immun. 2005;6(4):279-84. https://doi.org/10.1038/sj.gene.6364190

Gutierrez L, Mauriat M, Guenin S, Pelloux J, Lefebvre JF, Louvet R et al. The lack of systematic validation of reference genes: a serious pitfall undervalued in reverse transcription polymerase chain reaction (RT-PCR) analysis in plant. Plant Biotechnol J. 2008;6(6):609-18. https://doi.org/10.1111/j.1467-7652.2008.00346.x

Dheda K, Huggett JF, Bustin SA, Johnson MA, Rook G, Zumla A. Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques. 2007;37(1):112-19.https://doi.org/10.2144/04371RR03

Vandesompele J, Preter DK, Pattyn F, Poppe B, Roy NV, Paepe AD, Speleman F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):1-12. https://doi.org/10.1186/gb-2002-3-7-research0034

Andersen CL, Jensen JL, Orntoft TF. 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. 2004;64(15):5245-50. https://doi.org/10.1158/0008-5472.CAN-04-0496

Shivashankar M. Genetic diversity and relationships of Piper species using molecular marker. Int J Curr Microbiol App Sci. 2014;3(8):1101-09. http://www.ijcmas.com

Artico S, Nardeli SM, Brilhante O, Fatima M, Ferreira MA. Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data. BMC Plant Bio. 2010;10(1):1. https://doi.org/10.1186/1471-2229-10-49

Li MY, Song X, Wang F, Xiong A. Suitable reference genes for accurate gene expression analysis in Parsley (Petroselinum crispum) for abiotic stresses and hormone stimuli. Front Plant Sci. 2016;7:1481. https://doi.org/10.3389/fpls.2016.01481

Wang Y, Yajuan C, Liping D, Jiewei Z, Jianhua W, Hongzhi W. Validation of reference genes for gene expression by quantitative real-time RT-PCR in stem segments spanning primary to secondary growth in Populus tomentosa. PLoS One. 2016;11(6): https://doi.org/10.1371/journal.pone.0157370

de Andrade LM, Brito DSM, Junior FPR, Marchiori P, Nóbile PM, Martins A et al. Reference genes for normalization of qPCR assays in sugarcane plants under water deficit. Plant Methods. 2017;13(1):1-9. https://doi.org/10.1186/s13007-017-0178-2

Gines M, Baldwin T, Rashid A, Bregitzer P, Maughan PJ, Jellen EN, Klos KE. Selection of expression reference genes with demonstrated stability in barley among a diverse set of tissues and cultivars. Crop Sci. 2018;58(1):332-41. https://doi.org/10.2135/cropsci2017.07.0443

Liang C, Hao J, Meng Y, Luo L, Li J. Identifying optimal reference genes for the normalization of microRNA expression in cucumber under viral stress. PLoS One. 2018;13(3): https://doi.org/10.1371/journal.pone.0194-436

Sahoo A, Satapathy KB. Differential expression of Arabidopsis EJC core proteins under short-day and long- day growth conditions. Plant Sci Today. 2021;8(4):815-19. https://doi.org/10.14719/pst.2021.8.4.1214

Zhan H, Liu H, Wang T, Liu L, Ai W, Lu X. Selection and validation of reference genes for quantitative real-time PCR of Quercus mongolica Fisch. ex Ledeb under abiotic stresses. PLoS One. 2022;17(4):1-17. https://doi.org/10.1371/journal.pone.0267126

De-Spiegelaere W, Dern-Wieloch J, Weigel R, Schumacher V, Schorle H, Nettersheim D et al. Reference gene validation for RT-qPCR, a note on different available software packages. PLoS One 2015;10(3): e0122515. https://doi.org/10.1371/journal.pone.0122515.

Pohjanvirta R, Niittynen M, Lindén J, Boutros PC, Moffat ID, Okey AB. Evaluation of various housekeeping genes for their applicability for normalization of mRNA expression in dioxin-treated rats. Chem Biol Interact. 2006;160(2):134-49. https://doi.org/10.1016/j.cbi.2006.01.001

Josine, TL, Ji J, Wang G, Zhao Q. Over-expression of ?-carotein hydroxylase (chyB) gene affects green and albino leaves ultrastructure in Arabidopsis thaliana. Plant Sci Today 2015;2(1):29-37. https://doi.org/10.14719/pst.2015.2.1.85

Xu W, Dong Y, Yu Y, Xing Y, Li XW, Zhang X et al. Identification and evaluation of reliable reference genes for quantitative real-time PCR analysis in tea plants under differential biotic stresses. Sci Rep. 2020;10(1):1-14. https://doi.org/10.1038/s41598-020-59168-z

Niu L, Tao YB, Chen MS, Fu Q, Li C, Dong Y, Xu ZF. Selection of reliable reference genes for gene expression studies of a promising oilseed crop, Plukenetia volubilis, by real-time quantitative PCR. Int J Mol Sci. 2015;16(6):12513-30. https://doi.org/10.3390/ijms160612513

Jaiswal PS, Kaur N, Randhawa GS. Identification of reference genes for qRT-PCR gene expression studies during seed development and under abiotic stresses in Cyamopsis tetragonoloba Crop Sci. 2019;59(1):252-65.https://doi.org/10.2135/cropsci2018.05.0313

Wang SB, Liu KW, Diao WP, Zhi L, Ge W, Liu JB et al. Evaluation of appropriate reference genes for gene expression studies in pepper by quantitative real-time PCR. Mol Breed. 2012;30(3):1393-400. https://doi.org/10.1007/s11032-012-9726-7

Tian C, Jiang Q, Wang F, Wang GL, Xu ZS, Xiong AS. Selection of suitable reference genes for qPCR normalization under abiotic stresses and hormone stimuli in carrot leaves. PLoS One 2015;10(2):e0117569. https://doi.org/10.1371/journal.pone.0117569

You S, Cao K, Chen C, Li Y, Wu J, Zhu G, Fang W, Wang X, Wang L. Selection and validation reference genes for qRT PCR normalization in different cultivars during fruit ripening and softening of peach (Prunus perscia). Sci Rep. 2021;11(1):1-13. https://doi.org/10.1038/s41598-021-86755-5

Li J, Han JG, Hu YH, Yang J. Selection of reference genes for quantitative real-time PCR during fower development in tree peony (Paeonia sufruticosa Andr). Front Plant Sci.2016;7:516. https://doi.org/10.3389/fpls.2016.00516

Wang M, Lu S. Validation of suitable reference genes for quantitative gene expression analysis in Panax ginseng. Front Plant Sci. 2016;6:1259. https://doi.org/10.3389/fpls.2015.01259

Galli GG, Carrara M, Yuan WC, Quezada CV, Gurung B, Mooney BP, Zhang T, Geeven G, Gray NS, Laat WD, Calogero RA, Camargo FD YAP drives growth by controlling transcriptional pause release from dynamic enhancers. Mol Cell. 2015;60:328-37. https://doi.org/10.1016/j.molcel.2015.09.001

Hong SY, Seo PJ, Yan, MS, Xiang F, Park CM. Exploring valid reference genes for gene expression studies in Brachypodium distachyon by real-time PCR. BMC Plant Biol. 2008;8(1):1-11. https://doi.org/10.1186/1471-2229-8-112

Huis R, Hawkins S, Neutelings G. Selection of reference genes for quantitative gene expression normalization in flax (Linum usitatissimum L.). BMC Plant Biol. 2010;10(1):1-14. https://doi.org/10.1186/1471-2229-10-71

Wan HJ, Zhao ZG, Qian CT, Sui YH, Malik AA, Chen JF. Selection of appropriate reference genes for gene expression studies by quantitative real-time polymerase chain reaction in cucumber. Anal Biochem. 2010;399(2):257-61. https://doi.org/10.1016/j.ab.2009.12.008

Qui S, Yang L, Wen X, Hong Y, Song X, Zhang M, Dai S. Reference gene selection for RT-qPCR analysis of flower development in Chrysanthemum morifolium and Chrysanthemum lavandulifolium. Front Plant Sci. 2016;7:287. https://doi.org/10.3389/fpls.2016.00287

Lovdal T, Lillo C. Reference gene selection for quantitative real-time PCR normalization in tomato subjected to nitrogen, cold, and light stress. Anal Biochem. 2009;387(2):238-42. https://doi.org/10.1016/j.ab.2009.01.024

Shivhare R, Lata C. Selection of suitable reference genes for assessing gene expression in pearl millet under different abiotic stresses and their combinations. Sci Rep. 2016;6(1):1-12. https://doi.org/10.1038/srep23036

Su X, Lu L, Li Y, Zhen C, Hu G, Jiang K et al. Reference gene selection for quantitative real-time PCR (qRT-PCR) expression analysis in Galium aparine L. PLoS One 2020;15(2):e0226668. https://doi.org/10.1371/journal.pone.0226668

Li R, Cui K, Xie Q, Xie S, Chen X, Zhuo L et al. Selection of the reference genes for quantitative gene expression by RT-qPCR in the desert plant Stipagrostis pennata. Sci Rep. 2021;11:2171. https://doi.org/10.1038/s41598-021-00833-2

Iskandar HM, Simpson RS, Casu RE, Bonnett GD, Maclean DJ, Manners JM. Comparison of reference genes for quantitative real-time polymerase chain reaction analysis of gene expression in sugarcane. Plant Mol Biol Rep. 2004;22:325-37. https://doi.org/10.1007/BF02772676

Yu A, Wang H, He X, Deng K, Zhan R, Yang J. Screening of reference gene for real-time fuorescence quantitative PCR in Amomum villosum Lour. J Guangzhou Univ Traditional Chin Med. 2014; 31(5):814-20.

Li WG, Dong GS, Huang XM, Qing QZ, Chen Q, Dong LM et al. Optimization of internal reference genes for qPCR in human pancreatic cancer research. Transl Cancer Res. 2020;9(4):2962-71. https://doi.org/10.21037/tcr.2020.02.48

Li QF, Sun SM, Yuan DY, Yu HX, Gu MH, Liu QQ. Validation of candidate reference genes for the accurate normalization of real-time quantitative RT-PCR Data in rice during seed development. Plant Mol Biol Rep. 2010;28(1):49-57. https://doi.org/10.1007/s11105-009-0124-1

Wang Y, Yajuan C, Liping D, Jiewei Z, Jianhua W, Hongzhi W. 2016. Validation of reference genes for gene expression by quantitative real-time RT-PCR in stem segments spanning primary to secondary growth in Populus tomentosa. PLoS One. 11(6): e0157370. https://doi.org/10.1371/journal.pone.0157370

Li HB, Dai CG, Zhang CR, He YF, Ran HY, Chen SH. Screening potential reference genes for quantitative real-time PCR analysis in the oriental armyworm, Mythimna separata. PLoS One. 2018;13(4):e0195096. https://doi.org/10.1371/journal.pone.0195096

Knopkiewicz M, Wojtaszek P. Validation of reference genes for gene expression analysis using quantitative polymerase chain reaction in pea lines (Pisum sativum) with different lodging susceptibility. Ann Appl Biol. 2019;174(1):86-91. https://doi.org/10.1111/aab.12475

Migocka M, Papierniak A. Identification of suitable reference genes for studying gene expression in cucumber plants subjected to abiotic stress and growth regulators. Mol Breed. 2011;28(3):343-57. https://doi.org/10.1007/s11032-010-9487-0

Petriccione M, Mastrobuoni F, Zampella L, Scortichini M. Reference gene selection for normalization of RT-qPCR gene expression data from Actinidia deliciosa leaves infected with Pseudomonas syringae pv. Actinidiae. Sci Rep. 2015;5(1):1-12. https://doi.org/10.1038/srep16961

Published

11-06-2023

Versions

How to Cite

1.
Nasreena C, Alex S, Soni KB, Manjushri Dinkar D, Kiran A, Manju R. Selection of stable housekeeping genes for gene expression studies in different varieties of black pepper (Piper nigrum L.). Plant Sci. Today [Internet]. 2023 Jun. 11 [cited 2024 Dec. 21];. Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/2002

Issue

Section

Research Articles