Cargando…

Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms

Replicating circular RNAs are independent plant pathogens known as viroids, or act to modulate the pathogenesis of plant and animal viruses as their satellite RNAs. The rate of discovery of these subviral pathogens was low over the past 40 years because the classical approaches are technical demandi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Zhixiang, Qi, Shuishui, Tang, Nan, Zhang, Xinxin, Chen, Shanshan, Zhu, Pengfei, Ma, Lin, Cheng, Jinping, Xu, Yun, Lu, Meiguang, Wang, Hongqing, Ding, Shou-Wei, Li, Shifang, Wu, Qingfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263765/
https://www.ncbi.nlm.nih.gov/pubmed/25503469
http://dx.doi.org/10.1371/journal.ppat.1004553
_version_ 1782348630159523840
author Zhang, Zhixiang
Qi, Shuishui
Tang, Nan
Zhang, Xinxin
Chen, Shanshan
Zhu, Pengfei
Ma, Lin
Cheng, Jinping
Xu, Yun
Lu, Meiguang
Wang, Hongqing
Ding, Shou-Wei
Li, Shifang
Wu, Qingfa
author_facet Zhang, Zhixiang
Qi, Shuishui
Tang, Nan
Zhang, Xinxin
Chen, Shanshan
Zhu, Pengfei
Ma, Lin
Cheng, Jinping
Xu, Yun
Lu, Meiguang
Wang, Hongqing
Ding, Shou-Wei
Li, Shifang
Wu, Qingfa
author_sort Zhang, Zhixiang
collection PubMed
description Replicating circular RNAs are independent plant pathogens known as viroids, or act to modulate the pathogenesis of plant and animal viruses as their satellite RNAs. The rate of discovery of these subviral pathogens was low over the past 40 years because the classical approaches are technical demanding and time-consuming. We previously described an approach for homology-independent discovery of replicating circular RNAs by analysing the total small RNA populations from samples of diseased tissues with a computational program known as progressive filtering of overlapping small RNAs (PFOR). However, PFOR written in PERL language is extremely slow and is unable to discover those subviral pathogens that do not trigger in vivo accumulation of extensively overlapping small RNAs. Moreover, PFOR is yet to identify a new viroid capable of initiating independent infection. Here we report the development of PFOR2 that adopted parallel programming in the C++ language and was 3 to 8 times faster than PFOR. A new computational program was further developed and incorporated into PFOR2 to allow the identification of circular RNAs by deep sequencing of long RNAs instead of small RNAs. PFOR2 analysis of the small RNA libraries from grapevine and apple plants led to the discovery of Grapevine latent viroid (GLVd) and Apple hammerhead viroid-like RNA (AHVd-like RNA), respectively. GLVd was proposed as a new species in the genus Apscaviroid, because it contained the typical structural elements found in this group of viroids and initiated independent infection in grapevine seedlings. AHVd-like RNA encoded a biologically active hammerhead ribozyme in both polarities, and was not specifically associated with any of the viruses found in apple plants. We propose that these computational algorithms have the potential to discover novel circular RNAs in plants, invertebrates and vertebrates regardless of whether they replicate and/or induce the in vivo accumulation of small RNAs.
format Online
Article
Text
id pubmed-4263765
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-42637652014-12-19 Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms Zhang, Zhixiang Qi, Shuishui Tang, Nan Zhang, Xinxin Chen, Shanshan Zhu, Pengfei Ma, Lin Cheng, Jinping Xu, Yun Lu, Meiguang Wang, Hongqing Ding, Shou-Wei Li, Shifang Wu, Qingfa PLoS Pathog Research Article Replicating circular RNAs are independent plant pathogens known as viroids, or act to modulate the pathogenesis of plant and animal viruses as their satellite RNAs. The rate of discovery of these subviral pathogens was low over the past 40 years because the classical approaches are technical demanding and time-consuming. We previously described an approach for homology-independent discovery of replicating circular RNAs by analysing the total small RNA populations from samples of diseased tissues with a computational program known as progressive filtering of overlapping small RNAs (PFOR). However, PFOR written in PERL language is extremely slow and is unable to discover those subviral pathogens that do not trigger in vivo accumulation of extensively overlapping small RNAs. Moreover, PFOR is yet to identify a new viroid capable of initiating independent infection. Here we report the development of PFOR2 that adopted parallel programming in the C++ language and was 3 to 8 times faster than PFOR. A new computational program was further developed and incorporated into PFOR2 to allow the identification of circular RNAs by deep sequencing of long RNAs instead of small RNAs. PFOR2 analysis of the small RNA libraries from grapevine and apple plants led to the discovery of Grapevine latent viroid (GLVd) and Apple hammerhead viroid-like RNA (AHVd-like RNA), respectively. GLVd was proposed as a new species in the genus Apscaviroid, because it contained the typical structural elements found in this group of viroids and initiated independent infection in grapevine seedlings. AHVd-like RNA encoded a biologically active hammerhead ribozyme in both polarities, and was not specifically associated with any of the viruses found in apple plants. We propose that these computational algorithms have the potential to discover novel circular RNAs in plants, invertebrates and vertebrates regardless of whether they replicate and/or induce the in vivo accumulation of small RNAs. Public Library of Science 2014-12-11 /pmc/articles/PMC4263765/ /pubmed/25503469 http://dx.doi.org/10.1371/journal.ppat.1004553 Text en © 2014 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Zhixiang
Qi, Shuishui
Tang, Nan
Zhang, Xinxin
Chen, Shanshan
Zhu, Pengfei
Ma, Lin
Cheng, Jinping
Xu, Yun
Lu, Meiguang
Wang, Hongqing
Ding, Shou-Wei
Li, Shifang
Wu, Qingfa
Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title_full Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title_fullStr Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title_full_unstemmed Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title_short Discovery of Replicating Circular RNAs by RNA-Seq and Computational Algorithms
title_sort discovery of replicating circular rnas by rna-seq and computational algorithms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263765/
https://www.ncbi.nlm.nih.gov/pubmed/25503469
http://dx.doi.org/10.1371/journal.ppat.1004553
work_keys_str_mv AT zhangzhixiang discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT qishuishui discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT tangnan discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT zhangxinxin discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT chenshanshan discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT zhupengfei discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT malin discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT chengjinping discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT xuyun discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT lumeiguang discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT wanghongqing discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT dingshouwei discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT lishifang discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms
AT wuqingfa discoveryofreplicatingcircularrnasbyrnaseqandcomputationalalgorithms