Literature DB >> 26016494

The use of high-throughput sequencing methods for plant microRNA research.

Xiaoxia Ma1, Zhonghai Tang, Jingping Qin, Yijun Meng.   

Abstract

MicroRNA (miRNA) acts as a critical regulator of gene expression at post-transcriptional and occasionally transcriptional levels in plants. Identification of reliable miRNA genes, monitoring the procedures of transcription, processing and maturation of the miRNAs, quantification of the accumulation levels of the miRNAs in specific biological samples, and validation of miRNA-target interactions become the basis for thoroughly understanding of the miRNA-mediated regulatory networks and the underlying mechanisms. Great progresses have been achieved for sequencing technology. Based on the high degree of sequencing depth and coverage, the high-throughput sequencing (HTS, also called next-generation sequencing) technology provides unprecedentedly efficient way for genome-wide or transcriptome-wide studies. In this review, we will introduce several HTS platform-based methods useful for plant miRNA research, including RNA-seq (RNA sequencing), RNA-PET-seq (paired end tag sequencing of RNAs), sRNA-seq (small RNA sequencing), dsRNA-seq (double-stranded RNA sequencing), ssRNA-seq (single-stranded RNA sequencing) and degradome-seq (degradome sequencing). In particular, we will provide some special cases to illustrate the novel use of HTS methods for investigation of the processing modes of the miRNA precursors, identification of the RNA editing sites on miRNA precursors, mature miRNAs and target transcripts, re-examination of the current miRNA registries, and discovery of novel miRNA species and novel miRNA-target interactions. Summarily, we opinioned that integrative use of the above mentioned HTS methods could make the studies on miRNAs more efficient.

Keywords:  RNA-PET-seq; degradome-seq; dsRNA-seq; plant microRNA; sRNA-seq; ssRNA-seq

Mesh:

Substances:

Year:  2015        PMID: 26016494      PMCID: PMC4615803          DOI: 10.1080/15476286.2015.1053686

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  114 in total

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Journal:  Plant Cell       Date:  2007-08-03       Impact factor: 11.277

2.  Identification of a sequence motif critical for editing of a tobacco chloroplast transcript.

Authors:  Michael L Hayes; Maureen R Hanson
Journal:  RNA       Date:  2006-12-08       Impact factor: 4.942

3.  Construction of Parallel Analysis of RNA Ends (PARE) libraries for the study of cleaved miRNA targets and the RNA degradome.

Authors:  Marcelo A German; Shujun Luo; Gary Schroth; Blake C Meyers; Pamela J Green
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Review 4.  Short-read sequencing technologies for transcriptional analyses.

Authors:  Stacey A Simon; Jixian Zhai; Raja Sekhar Nandety; Kevin P McCormick; Jia Zeng; Diego Mejia; Blake C Meyers
Journal:  Annu Rev Plant Biol       Date:  2009       Impact factor: 26.379

5.  Primary transcripts of microRNAs encode regulatory peptides.

Authors:  Dominique Lauressergues; Jean-Malo Couzigou; Hélène San Clemente; Yves Martinez; Christophe Dunand; Guillaume Bécard; Jean-Philippe Combier
Journal:  Nature       Date:  2015-03-25       Impact factor: 49.962

Review 6.  Next is now: new technologies for sequencing of genomes, transcriptomes, and beyond.

Authors:  Ryan Lister; Brian D Gregory; Joseph R Ecker
Journal:  Curr Opin Plant Biol       Date:  2009-01-20       Impact factor: 7.834

7.  Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome.

Authors:  Charles Addo-Quaye; Tifani W Eshoo; David P Bartel; Michael J Axtell
Journal:  Curr Biol       Date:  2008-05-08       Impact factor: 10.834

8.  PAREsnip: a tool for rapid genome-wide discovery of small RNA/target interactions evidenced through degradome sequencing.

Authors:  Leighton Folkes; Simon Moxon; Hugh C Woolfenden; Matthew B Stocks; Gyorgy Szittya; Tamas Dalmay; Vincent Moulton
Journal:  Nucleic Acids Res       Date:  2012-03-29       Impact factor: 16.971

9.  Target mimics: an embedded layer of microRNA-involved gene regulatory networks in plants.

Authors:  Yijun Meng; Chaogang Shao; Huizhong Wang; Yongfeng Jin
Journal:  BMC Genomics       Date:  2012-05-21       Impact factor: 3.969

10.  A single anti-microRNA antisense oligodeoxyribonucleotide (AMO) targeting multiple microRNAs offers an improved approach for microRNA interference.

Authors:  Yanjie Lu; Jiening Xiao; Huixian Lin; Yunlong Bai; Xiaobin Luo; Zhiguo Wang; Baofeng Yang
Journal:  Nucleic Acids Res       Date:  2009-01-09       Impact factor: 16.971

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  16 in total

1.  The RNA degradome: a precious resource for deciphering RNA processing and regulation codes in plants.

Authors:  Xiaoxia Ma; Xiaopu Yin; Zhonghai Tang; Hidetaka Ito; Chaogang Shao; Yijun Meng; Tian Xie
Journal:  RNA Biol       Date:  2020-04-26       Impact factor: 4.652

2.  In Planta Determination of the mRNA-Binding Proteome of Arabidopsis Etiolated Seedlings.

Authors:  Marlene Reichel; Yalin Liao; Mandy Rettel; Chikako Ragan; Maurits Evers; Anne-Marie Alleaume; Rastislav Horos; Matthias W Hentze; Thomas Preiss; Anthony A Millar
Journal:  Plant Cell       Date:  2016-10-11       Impact factor: 11.277

3.  Developmental and stress regulation on expression of a novel miRNA, Fan-miR73, and its target ABI5 in strawberry.

Authors:  Dongdong Li; Wangshu Mou; Zisheng Luo; Li Li; Jarukitt Limwachiranon; Linchun Mao; Tiejin Ying
Journal:  Sci Rep       Date:  2016-06-21       Impact factor: 4.379

4.  MicroRNAs modulate adaption to multiple abiotic stresses in Chlamydomonas reinhardtii.

Authors:  Xiang Gao; Fengge Zhang; Jinlu Hu; Wenkai Cai; Ge Shan; Dongsheng Dai; Kaiyao Huang; Gaohong Wang
Journal:  Sci Rep       Date:  2016-12-02       Impact factor: 4.379

5.  Characterization and Function of MicroRNAs in Plants.

Authors:  Wei-Wei Liu; Jun Meng; Jun Cui; Yu-Shi Luan
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

Review 6.  MicroRNA and Transcription Factor: Key Players in Plant Regulatory Network.

Authors:  Abdul F A Samad; Muhammad Sajad; Nazaruddin Nazaruddin; Izzat A Fauzi; Abdul M A Murad; Zamri Zainal; Ismanizan Ismail
Journal:  Front Plant Sci       Date:  2017-04-12       Impact factor: 5.753

Review 7.  Nanotechnology based approaches for detection and delivery of microRNA in healthcare and crop protection.

Authors:  Vrantika Chaudhary; Sumit Jangra; Neelam R Yadav
Journal:  J Nanobiotechnology       Date:  2018-04-13       Impact factor: 10.435

Review 8.  Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.

Authors:  Luca Ambrosino; Chiara Colantuono; Gianfranco Diretto; Alessia Fiore; Maria Luisa Chiusano
Journal:  Plants (Basel)       Date:  2020-05-06

9.  Targeting miR-223 in neutrophils enhances the clearance of Staphylococcus aureus in infected wounds.

Authors:  Maiko de Kerckhove; Katsuya Tanaka; Takahiro Umehara; Momoko Okamoto; Sotaro Kanematsu; Hiroko Hayashi; Hiroki Yano; Soushi Nishiura; Shiho Tooyama; Yutaka Matsubayashi; Toshimitsu Komatsu; Seongjoon Park; Yuka Okada; Rina Takahashi; Yayoi Kawano; Takehisa Hanawa; Keisuke Iwasaki; Tadashige Nozaki; Hidetaka Torigoe; Kazuya Ikematsu; Yutaka Suzuki; Katsumi Tanaka; Paul Martin; Isao Shimokawa; Ryoichi Mori
Journal:  EMBO Mol Med       Date:  2018-10       Impact factor: 12.137

10.  Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey scaffold sequences.

Authors:  Anburaj Jeyaraj; Xiao Zhang; Yan Hou; Mingzhu Shangguan; Prabu Gajjeraman; Yeyun Li; Chaoling Wei
Journal:  BMC Plant Biol       Date:  2017-11-21       Impact factor: 4.215

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