Literature DB >> 31297694

Genome-wide identification of internal reference genes for normalization of gene expression values during endosperm development in wheat.

Junyi Mu1, Lin Chen1, Yunsong Gu1, Luning Duan1, Shichen Han1, Yaxuan Li1, Yueming Yan1, Xiaohui Li2.   

Abstract

Internal reference genes that are stably expressed are essential for normalization in comparative expression analyses. However, gene expression varies significantly among species, organisms, tissues, developmental stages, stresses, and treatments. Therefore, identification of stably expressed reference genes in developmental endosperm of bread wheat is important for expression analysis of endosperm genes. As the first study to systematically screen for reference genes across different developmental stages of wheat endosperm, nine genes were selected from among 76 relatively stable genes based on high-throughput RNA sequencing data. The expression stability of these candidate genes and five traditional reference genes was assessed by real-time quantitative PCR combined with three independent algorithms: geNorm, NormFinder, and BestKeeper. The results showed that ATG8d was the most stable gene during wheat endosperm development, followed by Ta54227, while the housekeeping gene GAPDH, commonly used as an internal reference, was the least stable. ATG8d and Ta54227 together formed the optimal combination of reference genes. Comparative expression analysis of glutenin genes indicated that credible quantification could be achieved by normalization against ATG8d in developmental endosperm. The stably expressed gene characterized here can act as a proper internal reference for expression analysis of wheat endosperm genes, especially nutrient- and nutrient synthesis-related genes.

Entities:  

Keywords:  Endosperm; Glutenin; Internal reference gene; RNA-Seq; RT-qPCR; Wheat

Mesh:

Year:  2019        PMID: 31297694     DOI: 10.1007/s13353-019-00503-0

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  33 in total

1.  Atg8 controls phagophore expansion during autophagosome formation.

Authors:  Zhiping Xie; Usha Nair; Daniel J Klionsky
Journal:  Mol Biol Cell       Date:  2008-05-28       Impact factor: 4.138

2.  Genome-wide identification and validation of new reference genes for transcript normalization in developmental and post-harvested fruits of Actinidia chinensis.

Authors:  Jian Liu; Shengxiong Huang; Xiangli Niu; Danyang Chen; Qiang Chen; Li Tian; FangMing Xiao; Yongsheng Liu
Journal:  Gene       Date:  2017-12-11       Impact factor: 3.688

3.  Application of qRT-PCR and RNA-Seq analysis for the identification of housekeeping genes useful for normalization of gene expression values during Striga hermonthica development.

Authors:  M Fernández-Aparicio; K Huang; E K Wafula; L A Honaas; N J Wickett; M P Timko; C W Depamphilis; J I Yoder; J H Westwood
Journal:  Mol Biol Rep       Date:  2012-12-28       Impact factor: 2.316

4.  The wheat transcription factor TaGAMyb recruits histone acetyltransferase and activates the expression of a high-molecular-weight glutenin subunit gene.

Authors:  Weiwei Guo; Hua Yang; Yongqiang Liu; Yujiao Gao; Zhongfu Ni; Huiru Peng; Mingming Xin; Zhaorong Hu; Qixin Sun; Yingyin Yao
Journal:  Plant J       Date:  2015-10       Impact factor: 6.417

5.  Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets.

Authors:  Claus Lindbjerg Andersen; Jens Ledet Jensen; Torben Falck Ørntoft
Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

6.  Identification and evaluation of endogenous control genes for use in quantitative RT-PCR during wheat (Triticum aestivum L.) grain filling.

Authors:  D Wu; J Dong; Y J Yao; W C Zhao; X Gao
Journal:  Genet Mol Res       Date:  2015-09-08

7.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.

Authors:  Cole Trapnell; Brian A Williams; Geo Pertea; Ali Mortazavi; Gordon Kwan; Marijke J van Baren; Steven L Salzberg; Barbara J Wold; Lior Pachter
Journal:  Nat Biotechnol       Date:  2010-05-02       Impact factor: 54.908

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

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

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

10.  Validating internal controls for quantitative plant gene expression studies.

Authors:  Amy M Brunner; Igor A Yakovlev; Steven H Strauss
Journal:  BMC Plant Biol       Date:  2004-08-18       Impact factor: 4.215

View more
  5 in total

1.  NR4A1 inhibits the epithelial-mesenchymal transition of hepatic stellate cells: Involvement of TGF-β-Smad2/3/4-ZEB signaling.

Authors:  Qian Huang; Jingying Xu; Yanyan Ge; Yue Shi; Fei Wang; Mingli Zhu
Journal:  Open Life Sci       Date:  2022-05-04       Impact factor: 1.311

2.  Evaluation of duplicated reference genes for quantitative real-time PCR analysis in genome unknown hexaploid oat (Avena sativa L.).

Authors:  Zheng Yang; Kai Wang; Usman Aziz; Cuizhu Zhao; Meng Zhang
Journal:  Plant Methods       Date:  2020-10-15       Impact factor: 4.993

3.  Silicate Inhibits the Cytosolic Influx of Chloride in Protoplasts of Wheat and Affects the Chloride Transporters, TaCLC1 and TaNPF2.4/2.5.

Authors:  Albert Premkumar; Muhammad Tariq Javed; Katharina Pawlowski; Sylvia M Lindberg
Journal:  Plants (Basel)       Date:  2022-04-26

4.  Analyzing the action of evolutionarily conserved modules on HMW-GS 1Ax1 promoter activity.

Authors:  Luning Duan; Shichen Han; Ke Wang; Peihong Jiang; Yunsong Gu; Lin Chen; Junyi Mu; Xingguo Ye; Yaxuan Li; Yueming Yan; Xiaohui Li
Journal:  Plant Mol Biol       Date:  2019-12-09       Impact factor: 4.076

5.  Organ-Specific Transcriptome Analysis Identifies Candidate Genes Involved in the Stem Specialization of Bermudagrass (Cynodon dactylon L.).

Authors:  Si Chen; Xin Xu; Ziyan Ma; Jianxiu Liu; Bing Zhang
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.