Literature DB >> 31736551

Selection of reference genes for quantitative real-time PCR analysis of photosynthesis-related genes expression in Lilium regale.

Wenkai Du1,2, Fengrong Hu2, Suxia Yuan1, Chun Liu1.   

Abstract

Photosynthesis is closely related to the growth of plants. A stable reference gene is fundamental for studies of the molecular mechanism of photosynthesis in Lilium regale. Therefore, it is very important to select a suitable reference gene for qRT-PCR analysis on genes of photosynthetic system, chlorophyll biosynthetic pathway and chloroplast development in Lilium regale. Three kinds of tissues, leaves and bulbs (abnormal leaves) of tissue culture plantlets and cotyledons of seedlings of the wild-type and mutant Lilium regale were selected as materials for qRT-PCR. Six housekeeping genes were selected as candidate genes from transcriptome sequencing data of the wild-type and yellow seedling lethal mutant of Lilium regale. Finally, the expression stability of six candidate reference genes was analyzed using geNorm, NormFinder, and BestKeeper software, the comparative ∆Ct method, and the RefFinder program. The results showed that LrActin2 was the best reference gene for qRT-PCR analysis of photosynthesis-related genes expression in leaves of tissue culture plantlets and seedlings of Lilium regale. This study provided useful data for further research on molecular mechanism of photosynthesis in the Lilium. © Prof. H.S. Srivastava Foundation for Science and Society 2019.

Entities:  

Keywords:  Lilium regale; Photosynthesis; Quantitative real-time PCR; Reference gene

Year:  2019        PMID: 31736551      PMCID: PMC6825105          DOI: 10.1007/s12298-019-00707-y

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


  24 in total

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Journal:  J Mol Endocrinol       Date:  2000-10       Impact factor: 5.098

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Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

5.  Validation of Reference Genes for Quantitative Real-Time PCR during Bicolor Tepal Development in Asiatic Hybrid Lilies (Lilium spp.).

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Journal:  Front Plant Sci       Date:  2017-04-25       Impact factor: 5.753

6.  Identification of Reference Genes for RT-qPCR Data Normalization in Cannabis sativa Stem Tissues.

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7.  A Whole-Transcriptome Approach to Evaluating Reference Genes for Quantitative Gene Expression Studies: A Case Study in Mimulus.

Authors:  Kimmy A Stanton; Patrick P Edger; Joshua R Puzey; Taliesin Kinser; Philip Cheng; Daniel M Vernon; Nancy R Forsthoefel; Arielle M Cooley
Journal:  G3 (Bethesda)       Date:  2017-04-03       Impact factor: 3.154

8.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

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Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

9.  Validation of Reference Genes for Accurate Normalization of Gene Expression in Lilium davidii var. unicolor for Real Time Quantitative PCR.

Authors:  XueYan Li; JinYun Cheng; Jing Zhang; Jaime A Teixeira da Silva; ChunXia Wang; HongMei Sun
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10.  Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization.

Authors:  Palakolanu Sudhakar Reddy; Dumbala Srinivas Reddy; Kaliamoorthy Sivasakthi; Pooja Bhatnagar-Mathur; Vincent Vadez; Kiran K Sharma
Journal:  Front Plant Sci       Date:  2016-04-25       Impact factor: 5.753

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  2 in total

1.  The identification of key candidate genes mediating yellow seedling lethality in a Lilium regale mutant.

Authors:  Wenkai Du; Fengrong Hu; Suxia Yuan; Chun Liu
Journal:  Mol Biol Rep       Date:  2020-03-02       Impact factor: 2.316

2.  Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition.

Authors:  Yanyan Wu; Qinglan Tian; Weihua Huang; Jieyun Liu; Xiuzhong Xia; Xinghai Yang; Haifei Mou
Journal:  Mol Biol Rep       Date:  2020-03-25       Impact factor: 2.316

  2 in total

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