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An eFP browser for visualizing strawberry fruit and flower transcriptomes
Wild strawberry Fragaria vesca is emerging as an important model system for the cultivated strawberry due to its diploid genome and availability of extensive transcriptome data and a range of molecular genetic tools. Being able to better utilize these tools, especially the transcriptome data, will g...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478792/ https://www.ncbi.nlm.nih.gov/pubmed/28674614 http://dx.doi.org/10.1038/hortres.2017.29 |
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author | Hawkins, Charles Caruana, Julie Li, Jiaming Zawora, Chris Darwish, Omar Wu, Jun Alkharouf, Nadim Liu, Zhongchi |
author_facet | Hawkins, Charles Caruana, Julie Li, Jiaming Zawora, Chris Darwish, Omar Wu, Jun Alkharouf, Nadim Liu, Zhongchi |
author_sort | Hawkins, Charles |
collection | PubMed |
description | Wild strawberry Fragaria vesca is emerging as an important model system for the cultivated strawberry due to its diploid genome and availability of extensive transcriptome data and a range of molecular genetic tools. Being able to better utilize these tools, especially the transcriptome data, will greatly facilitate research progress in strawberry and other Rosaceae fruit crops. The electronic fluorescent pictograph (eFP) software is a useful and popular tool to display transcriptome data visually, and is widely used in other model organisms including Arabidopsis and mouse. Here we applied eFP to display wild strawberry RNA sequencing (RNA-seq) data from 42 different tissues and stages, including various flower and fruit developmental stages. In addition, we generated eight additional RNA-seq data sets to represent tissues from ripening-stage receptacle fruit from yellow-colored and red-colored wild strawberry varieties. Differential gene expression analysis between these eight data sets provides additional information for understanding fruit-quality traits. Together, this work greatly facilitates the utility of the extensive transcriptome data for investigating strawberry flower and fruit development as well as fruit-quality traits. |
format | Online Article Text |
id | pubmed-5478792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54787922017-07-03 An eFP browser for visualizing strawberry fruit and flower transcriptomes Hawkins, Charles Caruana, Julie Li, Jiaming Zawora, Chris Darwish, Omar Wu, Jun Alkharouf, Nadim Liu, Zhongchi Hortic Res Article Wild strawberry Fragaria vesca is emerging as an important model system for the cultivated strawberry due to its diploid genome and availability of extensive transcriptome data and a range of molecular genetic tools. Being able to better utilize these tools, especially the transcriptome data, will greatly facilitate research progress in strawberry and other Rosaceae fruit crops. The electronic fluorescent pictograph (eFP) software is a useful and popular tool to display transcriptome data visually, and is widely used in other model organisms including Arabidopsis and mouse. Here we applied eFP to display wild strawberry RNA sequencing (RNA-seq) data from 42 different tissues and stages, including various flower and fruit developmental stages. In addition, we generated eight additional RNA-seq data sets to represent tissues from ripening-stage receptacle fruit from yellow-colored and red-colored wild strawberry varieties. Differential gene expression analysis between these eight data sets provides additional information for understanding fruit-quality traits. Together, this work greatly facilitates the utility of the extensive transcriptome data for investigating strawberry flower and fruit development as well as fruit-quality traits. Nature Publishing Group 2017-06-21 /pmc/articles/PMC5478792/ /pubmed/28674614 http://dx.doi.org/10.1038/hortres.2017.29 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hawkins, Charles Caruana, Julie Li, Jiaming Zawora, Chris Darwish, Omar Wu, Jun Alkharouf, Nadim Liu, Zhongchi An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title | An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title_full | An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title_fullStr | An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title_full_unstemmed | An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title_short | An eFP browser for visualizing strawberry fruit and flower transcriptomes |
title_sort | efp browser for visualizing strawberry fruit and flower transcriptomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478792/ https://www.ncbi.nlm.nih.gov/pubmed/28674614 http://dx.doi.org/10.1038/hortres.2017.29 |
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