Literature DB >> 22733489

Characterization of grapevine microR164 and its target genes.

Xin Sun1, Nicholas Kibet Korir, Jian Han, Ling-Fei Shangguan, Emrul Kayesh, Xiang-Peng Leng, Jing-Gui Fang.   

Abstract

MicroRNAs (miRNAs) are an extensive class of newly identified small RNAs that regulate gene expression at post-transcription level by mRNA cleavage or translation. In our study, we used qRT-PCR and found that Vv-miR164 is expression in grapevine leaves, stems, tendrils, inflorescences, flowers and fruits. In addition, two potential target genes for Vv-miR164 were also found and verified by PPM-RACE and RLM-RACE. The results not only maps the cleavage site of the target mRNA but allowed for detection the expression pattern of cleaved fragments that can indicate the regulatory function of this miRNA on its target genes. These target genes were explored by qRT-PCR where some exhibited different expression patterns from their corresponding miRNA, indicating the cleavage mode of the miRNA on its target genes. The efficient and powerful approach used in this study can help in further understanding of how miRNAs cleaved their target mRNAs. Results from this study prove the importance of Vv-miR164 in regulating development and growth of grapes, and adds to the existing knowledge of small RNA-mediated regulation in grapes.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22733489     DOI: 10.1007/s11033-012-1811-9

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  43 in total

1.  Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data.

Authors:  Christian Ramakers; Jan M Ruijter; Ronald H Lekanne Deprez; Antoon F M Moorman
Journal:  Neurosci Lett       Date:  2003-03-13       Impact factor: 3.046

Review 2.  The widespread regulation of microRNA biogenesis, function and decay.

Authors:  Jacek Krol; Inga Loedige; Witold Filipowicz
Journal:  Nat Rev Genet       Date:  2010-07-27       Impact factor: 53.242

3.  Computational identification of citrus microRNAs and target analysis in citrus expressed sequence tags.

Authors:  C Song; Q Jia; J Fang; F Li; C Wang; Z Zhang
Journal:  Plant Biol (Stuttg)       Date:  2010-11       Impact factor: 3.081

4.  Plants expressing a miR164-resistant CUC2 gene reveal the importance of post-meristematic maintenance of phyllotaxy in Arabidopsis.

Authors:  Alexis Peaucelle; Halima Morin; Jan Traas; Patrick Laufs
Journal:  Development       Date:  2007-01-24       Impact factor: 6.868

Review 5.  microRNA functions.

Authors:  Natascha Bushati; Stephen M Cohen
Journal:  Annu Rev Cell Dev Biol       Date:  2007       Impact factor: 13.827

6.  Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR).

Authors:  Evan M Kroh; Rachael K Parkin; Patrick S Mitchell; Muneesh Tewari
Journal:  Methods       Date:  2010-02-08       Impact factor: 3.608

7.  Microarray analysis of postictal transcriptional regulation of neuropeptides.

Authors:  Dawn N Wilson; Hyokwon Chung; Robert C Elliott; Eric Bremer; David George; Sookyong Koh
Journal:  J Mol Neurosci       Date:  2005       Impact factor: 3.444

8.  MicroRNA directs mRNA cleavage of the transcription factor NAC1 to downregulate auxin signals for arabidopsis lateral root development.

Authors:  Hui-Shan Guo; Qi Xie; Ji-Feng Fei; Nam-Hai Chua
Journal:  Plant Cell       Date:  2005-04-13       Impact factor: 11.277

9.  Cleavage of Scarecrow-like mRNA targets directed by a class of Arabidopsis miRNA.

Authors:  Cesar Llave; Zhixin Xie; Kristin D Kasschau; James C Carrington
Journal:  Science       Date:  2002-09-20       Impact factor: 47.728

10.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

View more
  15 in total

1.  A characterization of grapevine of GRAS domain transcription factor gene family.

Authors:  Xin Sun; Zhengqiang Xie; Cheng Zhang; Qian Mu; Weimin Wu; Baoju Wang; Jinggui Fang
Journal:  Funct Integr Genomics       Date:  2016-02-03       Impact factor: 3.410

2.  Transcriptome-wide analysis of dynamic variations in regulation modes of grapevine microRNAs on their target genes during grapevine development.

Authors:  Chen Wang; Xiangpeng Leng; Yanyi Zhang; Emrul Kayesh; Yanping Zhang; Xin Sun; Jinggui Fang
Journal:  Plant Mol Biol       Date:  2013-10-01       Impact factor: 4.076

3.  Characterization of Vv-miR156: Vv-SPL pairs involved in the modulation of grape berry development and ripening.

Authors:  Mengjie Cui; Chen Wang; Wenying Zhang; Tariq Pervaiz; Muhammad Salman Haider; Wei Tang; Jinggui Fang
Journal:  Mol Genet Genomics       Date:  2018-06-25       Impact factor: 3.291

4.  Characterization of miR061 and its target genes in grapevine responding to exogenous gibberellic acid.

Authors:  Mengqi Wang; Xin Sun; Chen Wang; Liwen Cui; Lide Chen; Chaobo Zhang; Lingfei Shangguan; Jinggui Fang
Journal:  Funct Integr Genomics       Date:  2017-02-28       Impact factor: 3.410

5.  miRVine: a microRNA expression atlas of grapevine based on small RNA sequencing.

Authors:  Jayakumar Belli Kullan; Daniela Lopes Paim Pinto; Edoardo Bertolini; Marianna Fasoli; Sara Zenoni; Giovanni Battista Tornielli; Mario Pezzotti; Blake C Meyers; Lorenzo Farina; Mario Enrico Pè; Erica Mica
Journal:  BMC Genomics       Date:  2015-05-16       Impact factor: 3.969

6.  De novo transcriptome assembly, gene annotation, marker development, and miRNA potential target genes validation under abiotic stresses in Oenanthe javanica.

Authors:  Qian Jiang; Feng Wang; Hua-Wei Tan; Meng-Yao Li; Zhi-Sheng Xu; Guo-Fei Tan; Ai-Sheng Xiong
Journal:  Mol Genet Genomics       Date:  2014-11-22       Impact factor: 3.291

7.  Integrated network analysis identifies fight-club nodes as a class of hubs encompassing key putative switch genes that induce major transcriptome reprogramming during grapevine development.

Authors:  Maria Concetta Palumbo; Sara Zenoni; Marianna Fasoli; Mélanie Massonnet; Lorenzo Farina; Filippo Castiglione; Mario Pezzotti; Paola Paci
Journal:  Plant Cell       Date:  2014-12-09       Impact factor: 11.277

8.  Transporters, chaperones, and P-type ATPases controlling grapevine copper homeostasis.

Authors:  Xiangpeng Leng; Qian Mu; Xiaomin Wang; Xiaopeng Li; Xudong Zhu; Lingfei Shangguan; Jinggui Fang
Journal:  Funct Integr Genomics       Date:  2015-06-09       Impact factor: 3.410

9.  Ectopic expression of CSD1 and CSD2 targeting genes of miR398 in grapevine is associated with oxidative stress tolerance.

Authors:  XiangPeng Leng; Peipei Wang; Xudong Zhu; Xiaopeng Li; Ting Zheng; Lingfei Shangguan; Jinggui Fang
Journal:  Funct Integr Genomics       Date:  2017-07-03       Impact factor: 3.410

10.  Genome-wide analysis of 24-nt siRNAs dynamic variations during rice superior and inferior grain filling.

Authors:  Ting Peng; Yanxiu Du; Jing Zhang; Junzhou Li; Yanxia Liu; Yafan Zhao; Hongzheng Sun; Quanzhi Zhao
Journal:  PLoS One       Date:  2013-04-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.