Literature DB >> 33623781

Selection and Validation of Reference Genes for RT-qPCR Analysis in Spinacia oleracea under Abiotic Stress.

Hao Xie1,2, Bo Li1, Yu Chang1, Xiaoyan Hou2, Yue Zhang1, Siyi Guo3, Yuchen Miao3, Quanhua Wang2, Sixue Chen4, Yinghua Su5, Ying Li1, Shaojun Dai2.   

Abstract

Reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is an accurate and convenient method for mRNA quantification. Selection of optimal reference gene(s) is an important step in RT-qPCR experiments. However, the stability of housekeeping genes in spinach (Spinacia oleracea) under various abiotic stresses is unclear. Evaluating the stability of candidate genes and determining the optimal gene(s) for normalization of gene expression in spinach are necessary to investigate the gene expression patterns during development and stress response. In this study, ten housekeeping genes, 18S ribosomal RNA (18S rRNA), actin, ADP ribosylation factor (ARF), cytochrome c oxidase subunit 5C (COX), cyclophilin (CYP), elongation factor 1-alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), histone H3 (H3), 50S ribosomal protein L2 (RPL2), and tubulin alpha chain (TUBα) from spinach, were selected as candidates in roots, stems, leaves, flowers, and seedlings in response to high temperature, CdCl2, NaCl, NaHCO3, and Na2CO3 stresses. The expression of these genes was quantified by RT-qPCR and evaluated by NormFinder, BestKeeper, and geNorm. 18S rRNA, actin, ARF, COX, CYP, EF1α, GAPDH, H3, and RPL2 were detected as optimal reference genes for gene expression analysis of different organs and stress responses. The results were further confirmed by the expression pattern normalized with different reference genes of two heat-responsive genes. Here, we optimized the detection method of the gene expression pattern in spinach. Our results provide the optimal candidate reference genes which were crucial for RT-qPCR analysis.
Copyright © 2021 Hao Xie et al.

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Year:  2021        PMID: 33623781      PMCID: PMC7875621          DOI: 10.1155/2021/4853632

Source DB:  PubMed          Journal:  Biomed Res Int            Impact factor:   3.411


  66 in total

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Authors:  Bartłomiej Kozera; Marcin Rapacz
Journal:  J Appl Genet       Date:  2013-11       Impact factor: 3.240

2.  Genetic diversity and association analysis of leafminer (Liriomyza langei) resistance in spinach (Spinacia oleracea).

Authors:  Ainong Shi; Beiquan Mou
Journal:  Genome       Date:  2016-06-29       Impact factor: 2.166

3.  SoHSC70 positively regulates thermotolerance by alleviating cell membrane damage, reducing ROS accumulation, and improving activities of antioxidant enzymes.

Authors:  Chuandong Qi; Xinpeng Lin; Shuangtao Li; Lun Liu; Zhirong Wang; Yu Li; Ruyue Bai; Qian Xie; Na Zhang; Shuxin Ren; Bing Zhao; Xiangdong Li; Shuangxi Fan; Yang-Dong Guo
Journal:  Plant Sci       Date:  2019-03-18       Impact factor: 4.729

4.  Proteomics-based investigation of salt-responsive mechanisms in plant roots.

Authors:  Qi Zhao; Heng Zhang; Tai Wang; Sixue Chen; Shaojun Dai
Journal:  J Proteomics       Date:  2013-02-04       Impact factor: 4.044

5.  De novo transcriptome sequencing and gene expression profiling of spinach (Spinacia oleracea L.) leaves under heat stress.

Authors:  Jun Yan; Li Yu; Jiping Xuan; Ying Lu; Shijun Lu; Weimin Zhu
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

6.  Candidate Reference Genes Selection and Application for RT-qPCR Analysis in Kenaf with Cytoplasmic Male Sterility Background.

Authors:  Bujin Zhou; Peng Chen; Aziz Khan; Yanhong Zhao; Lihong Chen; Dongmei Liu; Xiaofang Liao; Xiangjun Kong; Ruiyang Zhou
Journal:  Front Plant Sci       Date:  2017-09-01       Impact factor: 5.753

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.  Overexpression of spinach non-symbiotic hemoglobin in Arabidopsis resulted in decreased NO content and lowered nitrate and other abiotic stresses tolerance.

Authors:  Xuegui Bai; Juan Long; Xiaozhao He; Jinping Yan; Xuanqin Chen; Yong Tan; Kunzhi Li; Limei Chen; Huini Xu
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

9.  Proteomics and Phosphoproteomics of Heat Stress-Responsive Mechanisms in Spinach.

Authors:  Qi Zhao; Wenxin Chen; Jiayi Bian; Hao Xie; Ying Li; Chenxi Xu; Jun Ma; Siyi Guo; Jiaying Chen; Xiaofeng Cai; Xiaoli Wang; Quanhua Wang; Yimin She; Sixue Chen; Zhiqiang Zhou; Shaojun Dai
Journal:  Front Plant Sci       Date:  2018-06-26       Impact factor: 5.753

10.  Nitrate Accumulation and Expression Patterns of Genes Involved in Nitrate Transport and Assimilation in Spinach.

Authors:  Xiaoli Wang; Xiaofeng Cai; Chenxi Xu; Shui Wang; Shaojun Dai; Quanhua Wang
Journal:  Molecules       Date:  2018-09-02       Impact factor: 4.411

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  2 in total

1.  Genome-wide identification and expression analysis reveals spinach brassinosteroid-signaling kinase (BSK) gene family functions in temperature stress response.

Authors:  Yang Li; Heng Zhang; Yongxue Zhang; Yanshuang Liu; Yueyue Li; Haodong Tian; Siyi Guo; Meihong Sun; Zhi Qin; Shaojun Dai
Journal:  BMC Genomics       Date:  2022-06-20       Impact factor: 4.547

2.  Identification of Reference Genes for RT-qPCR Analysis in Gleditsia microphylla under Abiotic Stress and Hormone Treatment.

Authors:  Jiaqi Yang; Fengying Han; Li Yang; Jin Wang; Feng Jin; An Luo; Fuyong Zhao
Journal:  Genes (Basel)       Date:  2022-07-10       Impact factor: 4.141

  2 in total

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