Literature DB >> 26510572

Selection of reliable reference genes for quantitative real-time RT-PCR in alfalfa.

Xuemin Wang1, Yuanyuan Fu, Liping Ban, Zan Wang, Guangyan Feng, Jun Li, Hongwen Gao.   

Abstract

Real-time quantitative RT-PCR (qRT-PCR) is the most commonly used method for accurately detecting gene expression patterns. As part of qRT-PCR analysis, normalization of the data requires internal control gene(s) that display uniform expression under different biological conditions. However, no invariable internal control gene exists, and therefore more than one reference gene is needed to normalize RT-PCR results. In this study, we assessed the expression of eight candidate internal control genes, namely 18S ribosomal RNA (18S rRNA), elongation factor-1alpha, β-Actin, E2 ubiquitin-conjugating enzyme, β-Tubulin (TUB), ACTIN2, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and Msc27 of unknown function, in a diverse set of 16 alfalfa (Medicago sativa) samples representing different tissues and abiotic stress challenges, using geNorm and BestKeeper software. The results revealed that the eight candidate genes are inconsistently expressed under different experimental conditions. Msc27 and 18S rRNA are suitable reference genes for comparing different tissue types. Under different abscisic acid and NaCl conditions, three reference genes are necessary. Finally, GAPDH, TUB and β-Actin are unsuitable for normalization of qRT-PCR data under these given conditions in alfalfa. The relative expression level of MsWRKY33 was analyzed using selected reference genes. These results provide an experimental guideline for future research on gene expression in alfalfa using qRT-PCR.

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Year:  2015        PMID: 26510572     DOI: 10.1266/ggs.90.175

Source DB:  PubMed          Journal:  Genes Genet Syst        ISSN: 1341-7568            Impact factor:   1.517


  10 in total

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2.  Identification of candidate reference genes for quantitative RT-PCR in Miscanthus sinensis subjected to various abiotic stresses.

Authors:  Minyi Zhong; Xinying Yang; Yiyue Hu; Linkai Huang; Yan Peng; Zhou Li; Qiuxu Liu; Xia Wang; Xinquan Zhang; Gang Nie
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Authors:  Pavla Koloušková; James D Stone; Helena Štorchová
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4.  Salt-tolerant and -sensitive alfalfa (Medicago sativa) cultivars have large variations in defense responses to the lepidopteran insect Spodoptera litura under normal and salt stress condition.

Authors:  Yunting Lei; Qing Liu; Christian Hettenhausen; Guoyan Cao; Qing Tan; Weiye Zhao; Honghui Lin; Jianqiang Wu
Journal:  PLoS One       Date:  2017-07-18       Impact factor: 3.240

5.  Improvement of alfalfa forage quality and management through the down-regulation of MsFTa1.

Authors:  Christian D Lorenzo; Pedro García-Gagliardi; Mariana S Antonietti; Maximiliano Sánchez-Lamas; Estefanía Mancini; Carlos A Dezar; Martin Vazquez; Gerónimo Watson; Marcelo J Yanovsky; Pablo D Cerdán
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Journal:  Sci Rep       Date:  2021-03-02       Impact factor: 4.379

7.  Selection and validation of reference genes for RT-qPCR analysis of different organs at various development stages in Caragana intermedia.

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8.  Transcriptome Analysis Revealed the Molecular Response Mechanism of High-Resistant and Low-Resistant Alfalfa Varieties to Verticillium Wilt.

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9.  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

10.  Selection and Evaluation of Appropriate Reference Genes for RT-qPCR Normalization of Volvariella volvacea Gene Expression under Different Conditions.

Authors:  Jiang Qian; Yingnv Gao; Ying Wáng; Yingying Wu; Ying Wāng; Yucheng Zhao; Hongyu Chen; Dapeng Bao; Jiyang Xu; Xiaohong Bian
Journal:  Biomed Res Int       Date:  2018-07-09       Impact factor: 3.411

  10 in total

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