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A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors
BACKGROUND: Transcriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome h...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913447/ https://www.ncbi.nlm.nih.gov/pubmed/33639842 http://dx.doi.org/10.1186/s12870-021-02894-x |
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author | Brian, Lara Warren, Ben McAtee, Peter Rodrigues, Jessica Nieuwenhuizen, Niels Pasha, Asher David, Karine M. Richardson, Annette Provart, Nicholas J. Allan, Andrew C. Varkonyi-Gasic, Erika Schaffer, Robert J. |
author_facet | Brian, Lara Warren, Ben McAtee, Peter Rodrigues, Jessica Nieuwenhuizen, Niels Pasha, Asher David, Karine M. Richardson, Annette Provart, Nicholas J. Allan, Andrew C. Varkonyi-Gasic, Erika Schaffer, Robert J. |
author_sort | Brian, Lara |
collection | PubMed |
description | BACKGROUND: Transcriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome has resulted in a high quality set of 33,044 genes. Here we investigate gene expression patterns in diverse tissues, visualised in an Electronic Fluorescent Pictograph (eFP) browser, to study the relationship of transcription factor (TF) expression using network analysis. RESULTS: Sixty-one samples covering diverse tissues at different developmental time points were selected for RNA-seq analysis and an eFP browser was generated to visualise this dataset. 2839 TFs representing 57 different classes were identified and named. Network analysis of the TF expression patterns separated TFs into 14 different modules. Two modules consisting of 237 TFs were correlated with floral bud and flower development, a further two modules containing 160 TFs were associated with fruit development and maturation. A single module of 480 TFs was associated with ethylene-induced fruit ripening. Three “hub” genes correlated with flower and fruit development consisted of a HAF-like gene central to gynoecium development, an ERF and a DOF gene. Maturing and ripening hub genes included a KNOX gene that was associated with seed maturation, and a GRAS-like TF. CONCLUSIONS: This study provides an insight into the complexity of the transcriptional control of flower and fruit development, as well as providing a new resource to the plant community. The Actinidia eFP browser is provided in an accessible format that allows researchers to download and work internally. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02894-x. |
format | Online Article Text |
id | pubmed-7913447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79134472021-03-02 A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors Brian, Lara Warren, Ben McAtee, Peter Rodrigues, Jessica Nieuwenhuizen, Niels Pasha, Asher David, Karine M. Richardson, Annette Provart, Nicholas J. Allan, Andrew C. Varkonyi-Gasic, Erika Schaffer, Robert J. BMC Plant Biol Research Article BACKGROUND: Transcriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome has resulted in a high quality set of 33,044 genes. Here we investigate gene expression patterns in diverse tissues, visualised in an Electronic Fluorescent Pictograph (eFP) browser, to study the relationship of transcription factor (TF) expression using network analysis. RESULTS: Sixty-one samples covering diverse tissues at different developmental time points were selected for RNA-seq analysis and an eFP browser was generated to visualise this dataset. 2839 TFs representing 57 different classes were identified and named. Network analysis of the TF expression patterns separated TFs into 14 different modules. Two modules consisting of 237 TFs were correlated with floral bud and flower development, a further two modules containing 160 TFs were associated with fruit development and maturation. A single module of 480 TFs was associated with ethylene-induced fruit ripening. Three “hub” genes correlated with flower and fruit development consisted of a HAF-like gene central to gynoecium development, an ERF and a DOF gene. Maturing and ripening hub genes included a KNOX gene that was associated with seed maturation, and a GRAS-like TF. CONCLUSIONS: This study provides an insight into the complexity of the transcriptional control of flower and fruit development, as well as providing a new resource to the plant community. The Actinidia eFP browser is provided in an accessible format that allows researchers to download and work internally. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02894-x. BioMed Central 2021-02-27 /pmc/articles/PMC7913447/ /pubmed/33639842 http://dx.doi.org/10.1186/s12870-021-02894-x Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Brian, Lara Warren, Ben McAtee, Peter Rodrigues, Jessica Nieuwenhuizen, Niels Pasha, Asher David, Karine M. Richardson, Annette Provart, Nicholas J. Allan, Andrew C. Varkonyi-Gasic, Erika Schaffer, Robert J. A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title | A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title_full | A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title_fullStr | A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title_full_unstemmed | A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title_short | A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors |
title_sort | gene expression atlas for kiwifruit (actinidia chinensis) and network analysis of transcription factors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913447/ https://www.ncbi.nlm.nih.gov/pubmed/33639842 http://dx.doi.org/10.1186/s12870-021-02894-x |
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