Literature DB >> 31709495

Public-transcriptome-database-assisted selection and validation of reliable reference genes for qRT-PCR in rice.

Zhe Zhao1,2,3,4, Zixu Zhang1,2,3,4, Zhi Ding1,4, Hengjun Meng1,4, Rongxin Shen1,4, Huiwu Tang1,4, Yao-Guang Liu1,3,4, Letian Chen5,6,7,8.   

Abstract

Accurate quantitative reverse transcription PCR (qRT-PCR) requires reliable reference genes whose expression does not vary in different tissues and developmental stages. However, few reliable reference genes are available for qRT-PCR in rice (Oryza sativa). Here, we established an effective strategy for identifying novel reference genes (NRGs) for reliable normalization of qRT-PCR data in various rice organs and developmental stages. We selected candidate NRGs using the Information Commons for Rice Database and confirmed their expression in Rice Expression Profile Database (RiceXPro) data. Genes with low variation (<2.5 cycle quantification) across tissues and developmental stages, and little fluctuation in expression in heatmaps from RiceXPro data were considered stable NRGs. To validate this strategy, we selected 11 candidate NRGs and calculated their expression stability in different spatio-temporal conditions using five programs, and compared these genes with five established reference genes (ERGs). Only one of the ERGs (UBQ5) was reliable and 10 of the candidate NRGs were more stable than the four remaining ERGs. Therefore, public transcriptomic databases are useful for identifying NRGs. We selected two NRGs, UFC1 (Homolog of UFM1-Conjugating Enzyme 1) and FhaB (Homolog of Adhesin FhaB) for qRT-PCR analysis in rice; their homologs might be suitable for other monocot plants.

Entities:  

Keywords:  RiceXPro; qRT-PCR; reference gene; rice

Year:  2019        PMID: 31709495     DOI: 10.1007/s11427-019-1553-5

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  8 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-06       Impact factor: 11.205

2.  Integration of rhythmic metabolome and transcriptome provides insights into the transmission of rhythmic fluctuations and temporal diversity of metabolism in rice.

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Journal:  Sci China Life Sci       Date:  2022-03-07       Impact factor: 10.372

3.  Transcriptome-based selection and validation of optimal house-keeping genes for skin research in goats (Capra hircus).

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Journal:  BMC Genomics       Date:  2020-07-18       Impact factor: 3.969

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Journal:  FEBS Open Bio       Date:  2021-09-15       Impact factor: 2.693

5.  Public transcriptome database-based selection and validation of reliable reference genes for breast cancer research.

Authors:  Qiang Song; Lu Dou; Wenjin Zhang; Yang Peng; Man Huang; Mengyuan Wang
Journal:  Biomed Eng Online       Date:  2021-12-11       Impact factor: 2.819

6.  An Efficient Marker Gene Excision Strategy Based on CRISPR/Cas9-Mediated Homology-Directed Repair in Rice.

Authors:  Jiantao Tan; Yaxi Wang; Shuifu Chen; Zhansheng Lin; Yanchang Zhao; Yang Xue; Yuyu Luo; Yao-Guang Liu; Qinlong Zhu
Journal:  Int J Mol Sci       Date:  2022-01-29       Impact factor: 5.923

7.  Blocking Rice Shoot Gravitropism by Altering One Amino Acid in LAZY1.

Authors:  Shuifu Chen; Yuqun Huang; Jingluan Han; Shijuan Zhang; Qiaoyu Yang; Zhijie Li; Ya Zhang; Runyuan Mao; Ling Fan; Yaoguang Liu; Yuanling Chen; Xianrong Xie
Journal:  Int J Mol Sci       Date:  2022-08-21       Impact factor: 6.208

8.  Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis of Development and Tissue-Dependent Flower Color Formation in Cymbidium lowianum.

Authors:  Xiu-Mei Dong; Wei Zhang; Shi-Bao Zhang
Journal:  Int J Mol Sci       Date:  2022-01-10       Impact factor: 5.923

  8 in total

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