Literature DB >> 33794279

Reference gene identification for gene expression analysis in rice under different metal stress.

Praveen Soni1, Radha Shivhare2, Amandeep Kaur3, Sakshi Bansal3, Humira Sonah3, Rupesh Deshmukh3, Jitender Giri4, Charu Lata5, Hasthi Ram6.   

Abstract

Real-time quantitative polymerase chain reaction (RT-qPCR) is the most common approach to quantify changes in gene expression. Appropriate internal reference genes are essential for normalization of data of RT-qPCR. In the present study, we identified suitable reference genes for analysis of gene expression in rice seedlings subjected to different heavy metal stresses such as deficiencies of iron and zinc and toxicities of cobalt, cadmium and nickel. First, from publically available RNA-Seq data we identified 10 candidate genes having stable expression. We also included commonly used house-keeping gene OsUBQ5 (Ubiquitin 5) in our analysis. Expression stability of all the 11 genes was determined by two independent tools, NormFinder and geNorm. Our results show that selected candidate reference genes have higher stability in their expression compared to that of OsUBQ5. Genes with locus ID LOC_Os03g16690, encoding an oxysterol-binding protein (OsOBP) and LOC_Os01g56580, encoding Casein Kinase_1a.3 (OsCK1a.3) were identified to be the most stably expressed reference genes under most of the conditions tested. Finally, the study reveals that it is better to use a specific reference gene for a specific heavy metal stress condition rather than using a common reference gene for multiple heavy metal stress conditions. The reference genes identified here would be very useful for gene expression studies under heavy metal stresses in rice.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Heavy metal stresses; Real-time quantitative polymerase chain reaction; Reference gene; Rice; Root; Shoot

Year:  2021        PMID: 33794279     DOI: 10.1016/j.jbiotec.2021.03.019

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  2 in total

1.  Genome-Wide Identification and Gene Expression Analysis of the OTU DUB Family in Oryza sativa.

Authors:  Qiannan Liu; Tingyun Yan; Xiaoxiang Tan; Zhongyan Wei; Yanjun Li; Zongtao Sun; Hehong Zhang; Jianping Chen
Journal:  Viruses       Date:  2022-02-14       Impact factor: 5.048

2.  Analysis of controlling genes for tiller growth of Psathyrostachys juncea based on transcriptome sequencing technology.

Authors:  Zhen Li; Lan Yun; Xiaomin Ren; Fengling Shi; Fugui Mi
Journal:  BMC Plant Biol       Date:  2022-09-23       Impact factor: 5.260

  2 in total

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