Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites

The profiling of small RNAs by high-throughput sequencing (smRNA-Seq) has revealed the complexity of the RNA world. Here, we describe a computational scheme for dissecting the plant smRNAome by integrating smRNA-Seq datasets in Arabidopsis thaliana. Our analytical approach first defines ab initio th...

Full description

Bibliographic Details
Main Authors: Wang, Xiangfeng, Laurie, John D., Liu, Tao, Wentz, Jacqueline, Liu, X. Shirley
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:en_US
Published: Elsevier 2014
Online Access:http://hdl.handle.net/1721.1/92050
_version_ 1826208364154060800
author Wang, Xiangfeng
Laurie, John D.
Liu, Tao
Wentz, Jacqueline
Liu, X. Shirley
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Wang, Xiangfeng
Laurie, John D.
Liu, Tao
Wentz, Jacqueline
Liu, X. Shirley
author_sort Wang, Xiangfeng
collection MIT
description The profiling of small RNAs by high-throughput sequencing (smRNA-Seq) has revealed the complexity of the RNA world. Here, we describe a computational scheme for dissecting the plant smRNAome by integrating smRNA-Seq datasets in Arabidopsis thaliana. Our analytical approach first defines ab initio the genomic loci that produce smRNAs as basic units, then utilizes principal component analysis (PCA) to predict novel miRNAs. Secondary structure prediction of candidates' putative precursors discovered a group of long hairpin double-stranded RNAs (lh-dsRNAs) formed by inverted duplications of decayed coding genes. These gene remnants produce miRNA-like small RNAs which are predominantly 21- and 22-nt long, dependent of DCL1 but independent of RDR2 and DCL2/3/4, and associated with AGO1. Additionally, we found two classes of transcription start site associated (TSSa) RNAs located at sense (+) and antisense (−) approximately 100–200 bp downstream of TSSs, but are differentially incorporated into AGO1 and AGO4, respectively.
first_indexed 2024-09-23T14:04:18Z
format Article
id mit-1721.1/92050
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T14:04:18Z
publishDate 2014
publisher Elsevier
record_format dspace
spelling mit-1721.1/920502022-10-01T18:59:27Z Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites Wang, Xiangfeng Laurie, John D. Liu, Tao Wentz, Jacqueline Liu, X. Shirley Massachusetts Institute of Technology. Department of Biological Engineering Wentz, Jacqueline The profiling of small RNAs by high-throughput sequencing (smRNA-Seq) has revealed the complexity of the RNA world. Here, we describe a computational scheme for dissecting the plant smRNAome by integrating smRNA-Seq datasets in Arabidopsis thaliana. Our analytical approach first defines ab initio the genomic loci that produce smRNAs as basic units, then utilizes principal component analysis (PCA) to predict novel miRNAs. Secondary structure prediction of candidates' putative precursors discovered a group of long hairpin double-stranded RNAs (lh-dsRNAs) formed by inverted duplications of decayed coding genes. These gene remnants produce miRNA-like small RNAs which are predominantly 21- and 22-nt long, dependent of DCL1 but independent of RDR2 and DCL2/3/4, and associated with AGO1. Additionally, we found two classes of transcription start site associated (TSSa) RNAs located at sense (+) and antisense (−) approximately 100–200 bp downstream of TSSs, but are differentially incorporated into AGO1 and AGO4, respectively. 2014-12-08T17:35:02Z 2014-12-08T17:35:02Z 2011-02 2010-10 Article http://purl.org/eprint/type/JournalArticle 08887543 1089-8646 http://hdl.handle.net/1721.1/92050 Wang, Xiangfeng, John D. Laurie, Tao Liu, Jacqueline Wentz, and X. Shirley Liu. “Computational Dissection of Arabidopsis smRNAome Leads to Discovery of Novel microRNAs and Short Interfering RNAs Associated with Transcription Start Sites.” Genomics 97, no. 4 (April 2011): 235–243. en_US http://dx.doi.org/10.1016/j.ygeno.2011.01.006 Genomics Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Elsevier Elsevier
spellingShingle Wang, Xiangfeng
Laurie, John D.
Liu, Tao
Wentz, Jacqueline
Liu, X. Shirley
Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title_full Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title_fullStr Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title_full_unstemmed Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title_short Computational dissection of Arabidopsis smRNAome leads to discovery of novel microRNAs and short interfering RNAs associated with transcription start sites
title_sort computational dissection of arabidopsis smrnaome leads to discovery of novel micrornas and short interfering rnas associated with transcription start sites
url http://hdl.handle.net/1721.1/92050
work_keys_str_mv AT wangxiangfeng computationaldissectionofarabidopsissmrnaomeleadstodiscoveryofnovelmicrornasandshortinterferingrnasassociatedwithtranscriptionstartsites
AT lauriejohnd computationaldissectionofarabidopsissmrnaomeleadstodiscoveryofnovelmicrornasandshortinterferingrnasassociatedwithtranscriptionstartsites
AT liutao computationaldissectionofarabidopsissmrnaomeleadstodiscoveryofnovelmicrornasandshortinterferingrnasassociatedwithtranscriptionstartsites
AT wentzjacqueline computationaldissectionofarabidopsissmrnaomeleadstodiscoveryofnovelmicrornasandshortinterferingrnasassociatedwithtranscriptionstartsites
AT liuxshirley computationaldissectionofarabidopsissmrnaomeleadstodiscoveryofnovelmicrornasandshortinterferingrnasassociatedwithtranscriptionstartsites