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Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids
The present data profile the large scale transcriptome changes in Arabidopsis thaliana Col-0 seedlings exposed to mono-rhamnolipids (Mono-RLs) from Pseudomonas aeruginosa secretome. Bacterial rhamnolipids (RLs) are biosurfactant known to trigger plant defense mechanisms and have a great potential fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479242/ https://www.ncbi.nlm.nih.gov/pubmed/34621928 http://dx.doi.org/10.1016/j.dib.2021.107397 |
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author | Monnier, Noadya Sarazin, Catherine Rippa, Sonia |
author_facet | Monnier, Noadya Sarazin, Catherine Rippa, Sonia |
author_sort | Monnier, Noadya |
collection | PubMed |
description | The present data profile the large scale transcriptome changes in Arabidopsis thaliana Col-0 seedlings exposed to mono-rhamnolipids (Mono-RLs) from Pseudomonas aeruginosa secretome. Bacterial rhamnolipids (RLs) are biosurfactant known to trigger plant defense mechanisms and have a great potential for crop culture protection as environmental-friendly biocontrol solution. They are thought to interact directly with membrane lipids to induce plant defense gene expression and protection towards phytopathogens. However, to date, data on the global transcriptomic modifications induced by these natural amphiphilic glycolipids in plants are missing. Ten-day-old seedlings were treated for 1 or 3 h with 100 µM Mono-RLs in liquid growth medium for root absorption. Total RNA samples were extracted, purified, labelled and hybridized to Agilent V4 Gene Expression Microarrays 4 × 44 K (design ID 021169) carrying 43803 ssDNA probes of 60-mer covering the entire genome of A. thaliana. The dataset was validated by quality assessments including RNA sample quality, microarray quality and global gene expression profiling. The raw and normalized formats of these transcriptomic data are available via GEO repository with the accession number GSE168830. The dataset can be used to provide insights into the plant's early and later mechanisms induced or repressed by RLs. It can be compared to data obtained with other plant defense elicitors, including the well described compounds perceived by membrane protein receptors. |
format | Online Article Text |
id | pubmed-8479242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84792422021-10-06 Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids Monnier, Noadya Sarazin, Catherine Rippa, Sonia Data Brief Data Article The present data profile the large scale transcriptome changes in Arabidopsis thaliana Col-0 seedlings exposed to mono-rhamnolipids (Mono-RLs) from Pseudomonas aeruginosa secretome. Bacterial rhamnolipids (RLs) are biosurfactant known to trigger plant defense mechanisms and have a great potential for crop culture protection as environmental-friendly biocontrol solution. They are thought to interact directly with membrane lipids to induce plant defense gene expression and protection towards phytopathogens. However, to date, data on the global transcriptomic modifications induced by these natural amphiphilic glycolipids in plants are missing. Ten-day-old seedlings were treated for 1 or 3 h with 100 µM Mono-RLs in liquid growth medium for root absorption. Total RNA samples were extracted, purified, labelled and hybridized to Agilent V4 Gene Expression Microarrays 4 × 44 K (design ID 021169) carrying 43803 ssDNA probes of 60-mer covering the entire genome of A. thaliana. The dataset was validated by quality assessments including RNA sample quality, microarray quality and global gene expression profiling. The raw and normalized formats of these transcriptomic data are available via GEO repository with the accession number GSE168830. The dataset can be used to provide insights into the plant's early and later mechanisms induced or repressed by RLs. It can be compared to data obtained with other plant defense elicitors, including the well described compounds perceived by membrane protein receptors. Elsevier 2021-09-25 /pmc/articles/PMC8479242/ /pubmed/34621928 http://dx.doi.org/10.1016/j.dib.2021.107397 Text en © 2021 The Author(s). Published by Elsevier Inc. https://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 Article Monnier, Noadya Sarazin, Catherine Rippa, Sonia Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title | Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title_full | Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title_fullStr | Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title_full_unstemmed | Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title_short | Transcriptomic dataset from Arabidopsis thaliana seedlings in response to Pseudomonas aeruginosa mono-rhamnolipids |
title_sort | transcriptomic dataset from arabidopsis thaliana seedlings in response to pseudomonas aeruginosa mono-rhamnolipids |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479242/ https://www.ncbi.nlm.nih.gov/pubmed/34621928 http://dx.doi.org/10.1016/j.dib.2021.107397 |
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