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The Botrytis cinerea Gene Expression Browser
For comprehensive gene expression analyses of the phytopathogenic fungus Botrytis cinerea, which infects a number of plant taxa and is a cause of substantial agricultural losses worldwide, we developed BEB, a web-based B. cinerea gene Expression Browser. This computationally inexpensive web-based ap...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861337/ https://www.ncbi.nlm.nih.gov/pubmed/36675905 http://dx.doi.org/10.3390/jof9010084 |
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author | Pérez-Lara, Gabriel Moyano, Tomás C. Vega, Andrea Larrondo, Luis F. Polanco, Rubén Álvarez, José M. Aguayo, Daniel Canessa, Paulo |
author_facet | Pérez-Lara, Gabriel Moyano, Tomás C. Vega, Andrea Larrondo, Luis F. Polanco, Rubén Álvarez, José M. Aguayo, Daniel Canessa, Paulo |
author_sort | Pérez-Lara, Gabriel |
collection | PubMed |
description | For comprehensive gene expression analyses of the phytopathogenic fungus Botrytis cinerea, which infects a number of plant taxa and is a cause of substantial agricultural losses worldwide, we developed BEB, a web-based B. cinerea gene Expression Browser. This computationally inexpensive web-based application and its associated database contain manually curated RNA-Seq data for B. cinerea. BEB enables expression analyses of genes of interest under different culture conditions by providing publication-ready heatmaps depicting transcript levels, without requiring advanced computational skills. BEB also provides details of each experiment and user-defined gene expression clustering and visualization options. If needed, tables of gene expression values can be downloaded for further exploration, including, for instance, the determination of differentially expressed genes. The BEB implementation is based on open-source computational technologies that can be deployed for other organisms. In this case, the new implementation will be limited only by the number of transcriptomic experiments that are incorporated into the platform. To demonstrate the usability and value of BEB, we analyzed gene expression patterns across different conditions, with a focus on secondary metabolite gene clusters, chromosome-wide gene expression, previously described virulence factors, and reference genes, providing the first comprehensive expression overview of these groups of genes in this relevant fungal phytopathogen. We expect this tool to be broadly useful in B. cinerea research, providing a basis for comparative transcriptomics and candidate gene identification for functional assays. |
format | Online Article Text |
id | pubmed-9861337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98613372023-01-22 The Botrytis cinerea Gene Expression Browser Pérez-Lara, Gabriel Moyano, Tomás C. Vega, Andrea Larrondo, Luis F. Polanco, Rubén Álvarez, José M. Aguayo, Daniel Canessa, Paulo J Fungi (Basel) Article For comprehensive gene expression analyses of the phytopathogenic fungus Botrytis cinerea, which infects a number of plant taxa and is a cause of substantial agricultural losses worldwide, we developed BEB, a web-based B. cinerea gene Expression Browser. This computationally inexpensive web-based application and its associated database contain manually curated RNA-Seq data for B. cinerea. BEB enables expression analyses of genes of interest under different culture conditions by providing publication-ready heatmaps depicting transcript levels, without requiring advanced computational skills. BEB also provides details of each experiment and user-defined gene expression clustering and visualization options. If needed, tables of gene expression values can be downloaded for further exploration, including, for instance, the determination of differentially expressed genes. The BEB implementation is based on open-source computational technologies that can be deployed for other organisms. In this case, the new implementation will be limited only by the number of transcriptomic experiments that are incorporated into the platform. To demonstrate the usability and value of BEB, we analyzed gene expression patterns across different conditions, with a focus on secondary metabolite gene clusters, chromosome-wide gene expression, previously described virulence factors, and reference genes, providing the first comprehensive expression overview of these groups of genes in this relevant fungal phytopathogen. We expect this tool to be broadly useful in B. cinerea research, providing a basis for comparative transcriptomics and candidate gene identification for functional assays. MDPI 2023-01-06 /pmc/articles/PMC9861337/ /pubmed/36675905 http://dx.doi.org/10.3390/jof9010084 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pérez-Lara, Gabriel Moyano, Tomás C. Vega, Andrea Larrondo, Luis F. Polanco, Rubén Álvarez, José M. Aguayo, Daniel Canessa, Paulo The Botrytis cinerea Gene Expression Browser |
title | The Botrytis cinerea Gene Expression Browser |
title_full | The Botrytis cinerea Gene Expression Browser |
title_fullStr | The Botrytis cinerea Gene Expression Browser |
title_full_unstemmed | The Botrytis cinerea Gene Expression Browser |
title_short | The Botrytis cinerea Gene Expression Browser |
title_sort | botrytis cinerea gene expression browser |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861337/ https://www.ncbi.nlm.nih.gov/pubmed/36675905 http://dx.doi.org/10.3390/jof9010084 |
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