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Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation

The position of a poly(A) site of eukaryotic mRNA is determined by sequence signals in pre-mRNA and a group of polyadenylation factors. To reveal rice poly(A) signals at a genome level, we constructed a dataset of 55 742 authenticated poly(A) sites and characterized the poly(A) signals. This resulte...

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Autores principales: Shen, Yingjia, Ji, Guoli, Haas, Brian J., Wu, Xiaohui, Zheng, Jianti, Reese, Greg J., Li, Qingshun Quinn
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396415/
https://www.ncbi.nlm.nih.gov/pubmed/18411206
http://dx.doi.org/10.1093/nar/gkn158
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author Shen, Yingjia
Ji, Guoli
Haas, Brian J.
Wu, Xiaohui
Zheng, Jianti
Reese, Greg J.
Li, Qingshun Quinn
author_facet Shen, Yingjia
Ji, Guoli
Haas, Brian J.
Wu, Xiaohui
Zheng, Jianti
Reese, Greg J.
Li, Qingshun Quinn
author_sort Shen, Yingjia
collection PubMed
description The position of a poly(A) site of eukaryotic mRNA is determined by sequence signals in pre-mRNA and a group of polyadenylation factors. To reveal rice poly(A) signals at a genome level, we constructed a dataset of 55 742 authenticated poly(A) sites and characterized the poly(A) signals. This resulted in identifying the typical tripartite cis-elements, including FUE, NUE and CE, as previously observed in Arabidopsis. The average size of the 3′-UTR was 289 nucleotides. When mapped to the genome, however, 15% of these poly(A) sites were found to be located in the currently annotated intergenic regions. Moreover, an extensive alternative polyadenylation profile was evident where 50% of the genes analyzed had more than one unique poly(A) site (excluding microheterogeneity sites), and 13% had four or more poly(A) sites. About 4% of the analyzed genes possessed alternative poly(A) sites at their introns, 5′-UTRs, or protein coding regions. The authenticity of these alternative poly(A) sites was partially confirmed using MPSS data. Analysis of nucleotide profile and signal patterns indicated that there may be a different set of poly(A) signals for those poly(A) sites found in the coding regions. Based on the features of rice poly(A) signals, an updated algorithm termed PASS-Rice was designed to predict poly(A) sites.
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spelling pubmed-23964152008-05-28 Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation Shen, Yingjia Ji, Guoli Haas, Brian J. Wu, Xiaohui Zheng, Jianti Reese, Greg J. Li, Qingshun Quinn Nucleic Acids Res Computational Biology The position of a poly(A) site of eukaryotic mRNA is determined by sequence signals in pre-mRNA and a group of polyadenylation factors. To reveal rice poly(A) signals at a genome level, we constructed a dataset of 55 742 authenticated poly(A) sites and characterized the poly(A) signals. This resulted in identifying the typical tripartite cis-elements, including FUE, NUE and CE, as previously observed in Arabidopsis. The average size of the 3′-UTR was 289 nucleotides. When mapped to the genome, however, 15% of these poly(A) sites were found to be located in the currently annotated intergenic regions. Moreover, an extensive alternative polyadenylation profile was evident where 50% of the genes analyzed had more than one unique poly(A) site (excluding microheterogeneity sites), and 13% had four or more poly(A) sites. About 4% of the analyzed genes possessed alternative poly(A) sites at their introns, 5′-UTRs, or protein coding regions. The authenticity of these alternative poly(A) sites was partially confirmed using MPSS data. Analysis of nucleotide profile and signal patterns indicated that there may be a different set of poly(A) signals for those poly(A) sites found in the coding regions. Based on the features of rice poly(A) signals, an updated algorithm termed PASS-Rice was designed to predict poly(A) sites. Oxford University Press 2008-05 2008-04-13 /pmc/articles/PMC2396415/ /pubmed/18411206 http://dx.doi.org/10.1093/nar/gkn158 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Shen, Yingjia
Ji, Guoli
Haas, Brian J.
Wu, Xiaohui
Zheng, Jianti
Reese, Greg J.
Li, Qingshun Quinn
Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title_full Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title_fullStr Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title_full_unstemmed Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title_short Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation
title_sort genome level analysis of rice mrna 3′-end processing signals and alternative polyadenylation
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396415/
https://www.ncbi.nlm.nih.gov/pubmed/18411206
http://dx.doi.org/10.1093/nar/gkn158
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