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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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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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. |
format | Text |
id | pubmed-2396415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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