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Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply
Deficiency of the micronutrient zinc is a widespread condition in agricultural soils, causing a negative impact on crop quality and yield. Nevertheless, there is an insufficient knowledge on the regulatory and molecular mechanisms underlying the plant response to inadequate zinc nutrition [1]. This...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778672/ https://www.ncbi.nlm.nih.gov/pubmed/26981422 http://dx.doi.org/10.1016/j.gdata.2016.01.021 |
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author | Azevedo, Herlânder Azinheiro, Sarah Gaspar Muñoz-Mérida, Antonio Castro, Pedro Humberto Huettel, Bruno Aarts, Mark G.M. Assunção, Ana G.L. |
author_facet | Azevedo, Herlânder Azinheiro, Sarah Gaspar Muñoz-Mérida, Antonio Castro, Pedro Humberto Huettel, Bruno Aarts, Mark G.M. Assunção, Ana G.L. |
author_sort | Azevedo, Herlânder |
collection | PubMed |
description | Deficiency of the micronutrient zinc is a widespread condition in agricultural soils, causing a negative impact on crop quality and yield. Nevertheless, there is an insufficient knowledge on the regulatory and molecular mechanisms underlying the plant response to inadequate zinc nutrition [1]. This information should contribute to the development of plant-based solutions with improved nutrient-use-efficiency traits in crops. Previously, the transcription factors bZIP19 and bZIP23 were identified as essential regulators of the response to zinc deficiency in Arabidopsis thaliana [2]. A microarray experiment comparing gene expression between roots of wild-type and the mutant bzip19 bzip23, exposed to zinc deficiency, led to the identification of differentially expressed genes related with zinc homeostasis, namely its transport and plant internal translocation [2]. Here, we provide the detailed methodology, bioinformatics analysis and quality controls related to the microarray gene expression profiling published by Assunção and co-workers [2]. Most significantly, the present dataset comprises new experimental variables, including analysis of shoot tissue, and zinc sufficiency and excess supply. Thus, it expands from 8 to 42 microarrays hybridizations, which have been deposited at the Gene Expression Omnibus (GEO) under the accession number GSE77286. Overall, it provides a resource for research on the molecular basis and regulatory events of the plant response to zinc supply, emphasizing the importance of Arabidopsis bZIP19 and bZIP23 transcription factors. |
format | Online Article Text |
id | pubmed-4778672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-47786722016-03-15 Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply Azevedo, Herlânder Azinheiro, Sarah Gaspar Muñoz-Mérida, Antonio Castro, Pedro Humberto Huettel, Bruno Aarts, Mark G.M. Assunção, Ana G.L. Genom Data Data in Brief Deficiency of the micronutrient zinc is a widespread condition in agricultural soils, causing a negative impact on crop quality and yield. Nevertheless, there is an insufficient knowledge on the regulatory and molecular mechanisms underlying the plant response to inadequate zinc nutrition [1]. This information should contribute to the development of plant-based solutions with improved nutrient-use-efficiency traits in crops. Previously, the transcription factors bZIP19 and bZIP23 were identified as essential regulators of the response to zinc deficiency in Arabidopsis thaliana [2]. A microarray experiment comparing gene expression between roots of wild-type and the mutant bzip19 bzip23, exposed to zinc deficiency, led to the identification of differentially expressed genes related with zinc homeostasis, namely its transport and plant internal translocation [2]. Here, we provide the detailed methodology, bioinformatics analysis and quality controls related to the microarray gene expression profiling published by Assunção and co-workers [2]. Most significantly, the present dataset comprises new experimental variables, including analysis of shoot tissue, and zinc sufficiency and excess supply. Thus, it expands from 8 to 42 microarrays hybridizations, which have been deposited at the Gene Expression Omnibus (GEO) under the accession number GSE77286. Overall, it provides a resource for research on the molecular basis and regulatory events of the plant response to zinc supply, emphasizing the importance of Arabidopsis bZIP19 and bZIP23 transcription factors. Elsevier 2016-02-01 /pmc/articles/PMC4778672/ /pubmed/26981422 http://dx.doi.org/10.1016/j.gdata.2016.01.021 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data in Brief Azevedo, Herlânder Azinheiro, Sarah Gaspar Muñoz-Mérida, Antonio Castro, Pedro Humberto Huettel, Bruno Aarts, Mark G.M. Assunção, Ana G.L. Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title | Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title_full | Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title_fullStr | Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title_full_unstemmed | Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title_short | Transcriptomic profiling of Arabidopsis gene expression in response to varying micronutrient zinc supply |
title_sort | transcriptomic profiling of arabidopsis gene expression in response to varying micronutrient zinc supply |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778672/ https://www.ncbi.nlm.nih.gov/pubmed/26981422 http://dx.doi.org/10.1016/j.gdata.2016.01.021 |
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