Literature DB >> 35035141

Identification and validation of reference genes for qRT-PCR based studies in horse gram (Macrotyloma uniflorum).

Ragini Sinha1, Meenu Bala1, Pragya Prabha1, Alok Ranjan1, Rakesh K Chahota2, Tilak Raj Sharma1, Anil Kumar Singh1,3.   

Abstract

The quantitative real-time polymerase chain reaction (qRT-PCR) is the most sensitive and commonly used technique for gene expression studies in biological systems. However, the reliability of qRT-PCR results depends on the selection of reference gene(s) for data normalization. Horse gram (Macrotyloma uniflorum) is an important legume crop on which several molecular studies have been reported. However, the stability of reference genes has not been evaluated. In the present study, nine candidate reference genes were identified from horse gram RNA-seq data and evaluated in two horse gram genotypes, HPK4 and HPKM317 under six abiotic stresses viz. cold, drought, salinity, heat, abscisic acid and methyl viologen-induced oxidative stress. The results were evaluated using geNorm, Bestkeeper, Normfinder and delta-delta Ct methods and comprehensive ranking was assigned using RefFinder and RankAggreg software. The overall result showed that TCTP was one of the most stable genes in all samples and in genotype HPK4, while in HPKM317 profilin was most stably expressed. However, PSMA5 was identified as least stable in all the experimental conditions. Expression of target genes dehydrin and early response to dehydration 6 under drought stress was also validated using TCTP and profilin for data normalization, either alone or in combination, which confirmed their suitability for qRT-PCR data normalization. Thus, TCTP and profilin genes may be used for qRT-PCR data normalization for molecular and genomic studies in horse gram. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01104-0. © Prof. H.S. Srivastava Foundation for Science and Society 2021.

Entities:  

Keywords:  Bestkeeper; Delta-delta CT; Housekeeping gene; Macrotyloma uniflorum; Normfinder; Rank aggregation; RefFinder; geNorm

Year:  2021        PMID: 35035141      PMCID: PMC8720121          DOI: 10.1007/s12298-021-01104-0

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  57 in total

1.  Validation of reference genes for qRT-PCR data normalisation in lentil (Lens culinaris) under leaf developmental stages and abiotic stresses.

Authors:  Ragini Sinha; T R Sharma; Anil Kumar Singh
Journal:  Physiol Mol Biol Plants       Date:  2018-09-28

2.  Towards a systematic validation of references in real-time rt-PCR.

Authors:  Laurent Gutierrez; Mélanie Mauriat; Jérôme Pelloux; Catherine Bellini; Olivier Van Wuytswinkel
Journal:  Plant Cell       Date:  2008-07-29       Impact factor: 11.277

3.  Analyzing real-time PCR data by the comparative C(T) method.

Authors:  Thomas D Schmittgen; Kenneth J Livak
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 4.  Multisubunit RNA polymerases IV and V: purveyors of non-coding RNA for plant gene silencing.

Authors:  Jeremy R Haag; Craig S Pikaard
Journal:  Nat Rev Mol Cell Biol       Date:  2011-07-22       Impact factor: 94.444

5.  Reference genes for quantitative real-time polymerase chain reaction studies in soybean plants under hypoxic conditions.

Authors:  T J Nakayama; F A Rodrigues; N Neumaier; F C Marcelino-Guimarães; J R B Farias; M C N de Oliveira; A Borém; A C B de Oliveira; B M Emygdio; A L Nepomuceno
Journal:  Genet Mol Res       Date:  2014-02-13

6.  miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs.

Authors:  Fuliang Xie; Peng Xiao; Dongliang Chen; Lei Xu; Baohong Zhang
Journal:  Plant Mol Biol       Date:  2012-01-31       Impact factor: 4.076

7.  Selection of reliable reference genes for gene expression studies in peach using real-time PCR.

Authors:  Zhaoguo Tong; Zhihong Gao; Fei Wang; Jun Zhou; Zhen Zhang
Journal:  BMC Mol Biol       Date:  2009-07-20       Impact factor: 2.946

8.  RankAggreg, an R package for weighted rank aggregation.

Authors:  Vasyl Pihur; Susmita Datta; Somnath Datta
Journal:  BMC Bioinformatics       Date:  2009-02-19       Impact factor: 3.169

9.  Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR.

Authors:  Nicholas Silver; Steve Best; Jie Jiang; Swee Lay Thein
Journal:  BMC Mol Biol       Date:  2006-10-06       Impact factor: 2.946

10.  Evaluation of Reference Genes for Quantitative Real-Time PCR Analysis of the Gene Expression in Laticifers on the Basis of Latex Flow in Rubber Tree (Hevea brasiliensis Muell. Arg.).

Authors:  Jinquan Chao; Shuguang Yang; Yueyi Chen; Wei-Min Tian
Journal:  Front Plant Sci       Date:  2016-07-29       Impact factor: 5.753

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