Literature DB >> 30259378

CircRNAs in Plants.

Xuelei Lai1, Jérémie Bazin2, Stuart Webb3, Martin Crespi2, Chloe Zubieta4, Simon J Conn5.   

Abstract

Circular RNAs (circRNAs) are covalently closed, single-stranded transcripts that are ubiquitously expressed in all eukaryotes and even prokaryotic archaea. Although once regarded as splicing artifacts, circRNAs are a novel class of regulatory molecules with diverse biological functions, including regulation of transcription, modulation of alternative splicing, and binding of miRNAs and proteins. The majority of studies of circRNAs have been performed in animals with a focus on the biogenesis, function, and mechanistic characterization of these molecules. In contrast, the study of circRNAs in plants is just emerging. Interestingly, recent circRNA profiling studies in model plant systems show distinct features of plant circRNAs compared with those from animals, including putative roles in stress response, differences in expression patterns, and novel biogenesis mechanisms. This provides a great opportunity to broaden our knowledge of circRNAs using plant model systems, such as Arabidopsis and rice, which are ideal for phenotypic characterization and genetic studies. In this review, we summarize current knowledge of plant circRNAs, discuss their identification and biogenesis, describe potential functions, and propose future perspectives for plant circRNA study.

Entities:  

Keywords:  Genome-wide profiling; Plants; Transcriptomics; circRNAs

Mesh:

Substances:

Year:  2018        PMID: 30259378     DOI: 10.1007/978-981-13-1426-1_26

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  9 in total

1.  Long noncoding RNAs shape transcription in plants.

Authors:  Leandro Lucero; Camille Fonouni-Farde; Martin Crespi; Federico Ariel
Journal:  Transcription       Date:  2020-05-14

Review 2.  Plant Noncoding RNAs: Hidden Players in Development and Stress Responses.

Authors:  Yu Yu; Yuchan Zhang; Xuemei Chen; Yueqin Chen
Journal:  Annu Rev Cell Dev Biol       Date:  2019-08-12       Impact factor: 13.827

3.  Opportunities and Challenges of Predictive Approaches for the Non-coding RNA in Plants.

Authors:  Dong Xu; Wenya Yuan; Chunjie Fan; Bobin Liu; Meng-Zhu Lu; Jin Zhang
Journal:  Front Plant Sci       Date:  2022-04-14       Impact factor: 6.627

Review 4.  Increase Crop Resilience to Heat Stress Using Omic Strategies.

Authors:  Rong Zhou; Fangling Jiang; Lifei Niu; Xiaoming Song; Lu Yu; Yuwen Yang; Zhen Wu
Journal:  Front Plant Sci       Date:  2022-05-17       Impact factor: 6.627

5.  Computational Analysis of Transposable Elements and CircRNAs in Plants.

Authors:  Liliane Santana Oliveira; Andressa Caroline Patera; Douglas Silva Domingues; Danilo Sipoli Sanches; Fabricio Martins Lopes; Pedro Henrique Bugatti; Priscila Tiemi Maeda Saito; Vinicius Maracaja-Coutinho; Alan Mitchell Durham; Alexandre Rossi Paschoal
Journal:  Methods Mol Biol       Date:  2021

Review 6.  A Brief Review of circRNA Biogenesis, Detection, and Function.

Authors:  Ying Liang; Niannian Liu; Le Yang; Jianjun Tang; Yinglong Wang; Meng Mei
Journal:  Curr Genomics       Date:  2021-12-31       Impact factor: 2.689

7.  Might exogenous circular RNAs act as protein-coding transcripts in plants?

Authors:  Joan Marquez-Molins; José Antonio Navarro; Luis Cervera Seco; Vicente Pallas; Gustavo Gomez
Journal:  RNA Biol       Date:  2021-08-14       Impact factor: 4.652

Review 8.  The function and regulation network mechanism of circRNA in liver diseases.

Authors:  Panpan Wang; Yunhuan Zhang; Lugang Deng; Zhi Qu; Peisen Guo; Limin Liu; Zengli Yu; Peixi Wang; Nan Liu
Journal:  Cancer Cell Int       Date:  2022-03-31       Impact factor: 5.722

9.  CircRNA-regulated immune responses of asian honey bee workers to microsporidian infection.

Authors:  Zhiwei Zhu; Jie Wang; Xiaoxue Fan; Qi Long; Huazhi Chen; Yaping Ye; Kaiyao Zhang; Zhongmin Ren; Yang Zhang; Qingsheng Niu; Dafu Chen; Rui Guo
Journal:  Front Genet       Date:  2022-10-04       Impact factor: 4.772

  9 in total

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