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Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice
Genes are transcribed from transcription start sites (TSSs), and their position in a genome is strictly controlled to avoid mis-expression of undesired regions. In this study, we designed and developed a methodology for the evaluation of promoter context, which detects proximal promoter regions from...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050755/ https://www.ncbi.nlm.nih.gov/pubmed/35484393 http://dx.doi.org/10.1038/s41598-022-11169-w |
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author | Hiratsuka, Tosei Makita, Yuko Yamamoto, Yoshiharu Y. |
author_facet | Hiratsuka, Tosei Makita, Yuko Yamamoto, Yoshiharu Y. |
author_sort | Hiratsuka, Tosei |
collection | PubMed |
description | Genes are transcribed from transcription start sites (TSSs), and their position in a genome is strictly controlled to avoid mis-expression of undesired regions. In this study, we designed and developed a methodology for the evaluation of promoter context, which detects proximal promoter regions from − 200 to − 60 bp relative to a TSS, in Arabidopsis and rice genomes. The method positively evaluates spacer sequences and Regulatory Element Groups, but not core promoter elements like TATA boxes, and is able to predict the position of a TSS within a width of 200 bp. An important feature of the evaluation/prediction method is its independence of the core promoter elements, which was demonstrated by successful prediction of all the TATA, GA, and coreless types of promoters without notable differences in the accuracy of prediction. The positive relationship identified between the evaluation scores and gene expression levels suggests that this method is useful for the evaluation of promoter maturity. |
format | Online Article Text |
id | pubmed-9050755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90507552022-04-30 Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice Hiratsuka, Tosei Makita, Yuko Yamamoto, Yoshiharu Y. Sci Rep Article Genes are transcribed from transcription start sites (TSSs), and their position in a genome is strictly controlled to avoid mis-expression of undesired regions. In this study, we designed and developed a methodology for the evaluation of promoter context, which detects proximal promoter regions from − 200 to − 60 bp relative to a TSS, in Arabidopsis and rice genomes. The method positively evaluates spacer sequences and Regulatory Element Groups, but not core promoter elements like TATA boxes, and is able to predict the position of a TSS within a width of 200 bp. An important feature of the evaluation/prediction method is its independence of the core promoter elements, which was demonstrated by successful prediction of all the TATA, GA, and coreless types of promoters without notable differences in the accuracy of prediction. The positive relationship identified between the evaluation scores and gene expression levels suggests that this method is useful for the evaluation of promoter maturity. Nature Publishing Group UK 2022-04-28 /pmc/articles/PMC9050755/ /pubmed/35484393 http://dx.doi.org/10.1038/s41598-022-11169-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hiratsuka, Tosei Makita, Yuko Yamamoto, Yoshiharu Y. Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title | Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title_full | Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title_fullStr | Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title_full_unstemmed | Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title_short | Sequence-based evaluation of promoter context for prediction of transcription start sites in Arabidopsis and rice |
title_sort | sequence-based evaluation of promoter context for prediction of transcription start sites in arabidopsis and rice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050755/ https://www.ncbi.nlm.nih.gov/pubmed/35484393 http://dx.doi.org/10.1038/s41598-022-11169-w |
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