Literature DB >> 28032247

A systemic identification approach for primary transcription start site of Arabidopsis miRNAs from multidimensional omics data.

Qi You1, Hengyu Yan1, Yue Liu1, Xin Yi1, Kang Zhang1, Wenying Xu1, Zhen Su2.   

Abstract

The 22-nucleotide non-coding microRNAs (miRNAs) are mostly transcribed by RNA polymerase II and are similar to protein-coding genes. Unlike the clear process from stem-loop precursors to mature miRNAs, the primary transcriptional regulation of miRNA, especially in plants, still needs to be further clarified, including the original transcription start site, functional cis-elements and primary transcript structures. Due to several well-characterized transcription signals in the promoter region, we proposed a systemic approach integrating multidimensional "omics" (including genomics, transcriptomics, and epigenomics) data to improve the genome-wide identification of primary miRNA transcripts. Here, we used the model plant Arabidopsis thaliana to improve the ability to identify candidate promoter locations in intergenic miRNAs and to determine rules for identifying primary transcription start sites of miRNAs by integrating high-throughput omics data, such as the DNase I hypersensitive sites, chromatin immunoprecipitation-sequencing of polymerase II and H3K4me3, as well as high throughput transcriptomic data. As a result, 93% of refined primary transcripts could be confirmed by the primer pairs from a previous study. Cis-element and secondary structure analyses also supported the feasibility of our results. This work will contribute to the primary transcriptional regulatory analysis of miRNAs, and the conserved regulatory pattern may be a suitable miRNA characteristic in other plant species.

Entities:  

Keywords:  Arabidopsis; Cis-element; Epigenomics; Intergenic miRNA; Primary transcription start site

Mesh:

Substances:

Year:  2016        PMID: 28032247     DOI: 10.1007/s10142-016-0541-9

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  53 in total

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Review 4.  Origin, biogenesis, and activity of plant microRNAs.

Authors:  Olivier Voinnet
Journal:  Cell       Date:  2009-02-20       Impact factor: 41.582

Review 5.  Conserved noncoding sequences (CNSs) in higher plants.

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Journal:  Curr Opin Plant Biol       Date:  2009-02-25       Impact factor: 7.834

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7.  F-Seq: a feature density estimator for high-throughput sequence tags.

Authors:  Alan P Boyle; Justin Guinney; Gregory E Crawford; Terrence S Furey
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Authors:  Dongwon Baek; Min Chul Kim; Hyun Jin Chun; Songhwa Kang; Hyeong Cheol Park; Gilok Shin; Jiyoung Park; Mingzhe Shen; Hyewon Hong; Woe-Yeon Kim; Doh Hoon Kim; Sang Yeol Lee; Ray A Bressan; Hans J Bohnert; Dae-Jin Yun
Journal:  Plant Physiol       Date:  2012-11-15       Impact factor: 8.340

9.  Genome-wide identification of long noncoding natural antisense transcripts and their responses to light in Arabidopsis.

Authors:  Huan Wang; Pil Joong Chung; Jun Liu; In-Cheol Jang; Michelle J Kean; Jun Xu; Nam-Hai Chua
Journal:  Genome Res       Date:  2014-01-08       Impact factor: 9.043

10.  NanoCAGE-XL and CapFilter: an approach to genome wide identification of high confidence transcription start sites.

Authors:  Jason S Cumbie; Maria G Ivanchenko; Molly Megraw
Journal:  BMC Genomics       Date:  2015-08-13       Impact factor: 3.969

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  3 in total

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Journal:  Funct Integr Genomics       Date:  2017-05       Impact factor: 3.410

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Authors:  Lucia Gonzalo; Ileana Tossolini; Tomasz Gulanicz; Damian A Cambiagno; Anna Kasprowicz-Maluski; Dariusz Jan Smolinski; María Florencia Mammarella; Federico D Ariel; Sebastian Marquardt; Zofia Szweykowska-Kulinska; Artur Jarmolowski; Pablo A Manavella
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3.  Genome-wide comparative analysis of H3K4me3 profiles between diploid and allotetraploid cotton to refine genome annotation.

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Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

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