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Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice

BACKGROUND: Cis-acting elements are essential genomic sequences that control gene expression. In higher eukaryotes, a series of cis-elements function cooperatively. However, further studies are required to examine the co-regulation of multiple cis-elements on a promoter. The aim of this study was to...

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Autores principales: Kakei, Yusuke, Ogo, Yuko, Itai, Reiko N, Kobayashi, Takanori, Yamakawa, Takashi, Nakanishi, Hiromi, Nishizawa, Naoko K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer New York 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883709/
https://www.ncbi.nlm.nih.gov/pubmed/24279975
http://dx.doi.org/10.1186/1939-8433-6-22
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author Kakei, Yusuke
Ogo, Yuko
Itai, Reiko N
Kobayashi, Takanori
Yamakawa, Takashi
Nakanishi, Hiromi
Nishizawa, Naoko K
author_facet Kakei, Yusuke
Ogo, Yuko
Itai, Reiko N
Kobayashi, Takanori
Yamakawa, Takashi
Nakanishi, Hiromi
Nishizawa, Naoko K
author_sort Kakei, Yusuke
collection PubMed
description BACKGROUND: Cis-acting elements are essential genomic sequences that control gene expression. In higher eukaryotes, a series of cis-elements function cooperatively. However, further studies are required to examine the co-regulation of multiple cis-elements on a promoter. The aim of this study was to propose a model of cis-element networks that cooperatively regulate gene expression in rice under iron (Fe) deficiency. RESULTS: We developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis-acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this method. Based on sequences of Oryza sativa genes upregulated by Fe deficiency, MAMA returned experimentally identified cis-elements responsible for Fe deficiency in O. sativa. When this method was applied to O. sativa subjected to zinc deficiency and Arabidopsis thaliana subjected to salt stress, several novel candidate cis-acting elements that overlap with known cis-acting elements, such as ZDRE, ABRE, and DRE, were identified. After optimization, MAMA accurately simulated more than 87% of gene expression. Predicted motifs strongly co-localized in the upstream regions of regulated genes and sequences around transcription start sites. Furthermore, in many cases, the separation (in bp) between co-localized motifs was conserved, suggesting that predicted motifs and the separation between them were important in the co-regulation of gene expression. CONCLUSIONS: Our results are suggestive of a typical sequence model for Fe deficiency-responsive promoters and some strong candidate cis-elements that function cooperatively with known cis-elements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1939-8433-6-22) contains supplementary material, which is available to authorized users.
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spelling pubmed-48837092016-06-21 Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice Kakei, Yusuke Ogo, Yuko Itai, Reiko N Kobayashi, Takanori Yamakawa, Takashi Nakanishi, Hiromi Nishizawa, Naoko K Rice (N Y) Research BACKGROUND: Cis-acting elements are essential genomic sequences that control gene expression. In higher eukaryotes, a series of cis-elements function cooperatively. However, further studies are required to examine the co-regulation of multiple cis-elements on a promoter. The aim of this study was to propose a model of cis-element networks that cooperatively regulate gene expression in rice under iron (Fe) deficiency. RESULTS: We developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis-acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this method. Based on sequences of Oryza sativa genes upregulated by Fe deficiency, MAMA returned experimentally identified cis-elements responsible for Fe deficiency in O. sativa. When this method was applied to O. sativa subjected to zinc deficiency and Arabidopsis thaliana subjected to salt stress, several novel candidate cis-acting elements that overlap with known cis-acting elements, such as ZDRE, ABRE, and DRE, were identified. After optimization, MAMA accurately simulated more than 87% of gene expression. Predicted motifs strongly co-localized in the upstream regions of regulated genes and sequences around transcription start sites. Furthermore, in many cases, the separation (in bp) between co-localized motifs was conserved, suggesting that predicted motifs and the separation between them were important in the co-regulation of gene expression. CONCLUSIONS: Our results are suggestive of a typical sequence model for Fe deficiency-responsive promoters and some strong candidate cis-elements that function cooperatively with known cis-elements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1939-8433-6-22) contains supplementary material, which is available to authorized users. Springer New York 2013-09-22 /pmc/articles/PMC4883709/ /pubmed/24279975 http://dx.doi.org/10.1186/1939-8433-6-22 Text en © Kakei et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kakei, Yusuke
Ogo, Yuko
Itai, Reiko N
Kobayashi, Takanori
Yamakawa, Takashi
Nakanishi, Hiromi
Nishizawa, Naoko K
Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title_full Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title_fullStr Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title_full_unstemmed Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title_short Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
title_sort development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883709/
https://www.ncbi.nlm.nih.gov/pubmed/24279975
http://dx.doi.org/10.1186/1939-8433-6-22
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