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De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light
Lettuce (Lactuca sativa) is grown in various parts of the world for use as a leafy vegetable. Although the use of light-emitting diode (LED) in controlled plant production systems has been successfully used to enhance nutritional quality and plant growth efficiently, the molecular basis of lettuce’s...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797559/ https://www.ncbi.nlm.nih.gov/pubmed/36577773 http://dx.doi.org/10.1038/s41598-022-26344-2 |
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author | Kumar, Vinod Sugumaran, Krishnakumar Al-Roumi, Amwaj Shajan, Anisha |
author_facet | Kumar, Vinod Sugumaran, Krishnakumar Al-Roumi, Amwaj Shajan, Anisha |
author_sort | Kumar, Vinod |
collection | PubMed |
description | Lettuce (Lactuca sativa) is grown in various parts of the world for use as a leafy vegetable. Although the use of light-emitting diode (LED) in controlled plant production systems has been successfully used to enhance nutritional quality and plant growth efficiently, the molecular basis of lettuce’s response to varying light spectra is not studied. Using next-generation sequencing, we have analyzed the transcriptomes of leaf lettuce (Lactuca sativa var. ‘New Red Fire’) grown hydroponically in a modular agricultural production system under three different types of LED lighting: red, blue, and white light. Illumina HiSeq sequencing platform was used to generate paired-end sequence reads (58 Gb raw and 54 Gb clean data) of the transcriptome of lettuce leaves exposed to varying light spectra. The de novo assembled final transcriptome contained 74,096 transcripts. Around 53% and 39% of the assembled transcripts matched to the UniProt and RefSeq RNA sequences, respectively. The validation of the differentially expressed transcripts using RT-qPCR showed complete agreement with RNA-Seq data for 27 transcripts. A comparison of the blue versus red light treatments showed the highest number of significantly differentially expressed transcripts. Among the transcripts significantly up-regulated in blue-light-exposed leaves compared to white-light-exposed leaves, ~ 26% were involved in the ‘response to stress’. Among the transcripts significantly upregulated under red light compared to white light, ~ 6% were associated with ‘nucleosome assembly’ and other processes, such as ‘oxidation–reduction process’ and ‘response to water deprivation’ were significantly enriched. Thus, the result from the current study provides deeper insights into differential gene expression patterns and associated functional aspects under varying light qualities. |
format | Online Article Text |
id | pubmed-9797559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97975592022-12-30 De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light Kumar, Vinod Sugumaran, Krishnakumar Al-Roumi, Amwaj Shajan, Anisha Sci Rep Article Lettuce (Lactuca sativa) is grown in various parts of the world for use as a leafy vegetable. Although the use of light-emitting diode (LED) in controlled plant production systems has been successfully used to enhance nutritional quality and plant growth efficiently, the molecular basis of lettuce’s response to varying light spectra is not studied. Using next-generation sequencing, we have analyzed the transcriptomes of leaf lettuce (Lactuca sativa var. ‘New Red Fire’) grown hydroponically in a modular agricultural production system under three different types of LED lighting: red, blue, and white light. Illumina HiSeq sequencing platform was used to generate paired-end sequence reads (58 Gb raw and 54 Gb clean data) of the transcriptome of lettuce leaves exposed to varying light spectra. The de novo assembled final transcriptome contained 74,096 transcripts. Around 53% and 39% of the assembled transcripts matched to the UniProt and RefSeq RNA sequences, respectively. The validation of the differentially expressed transcripts using RT-qPCR showed complete agreement with RNA-Seq data for 27 transcripts. A comparison of the blue versus red light treatments showed the highest number of significantly differentially expressed transcripts. Among the transcripts significantly up-regulated in blue-light-exposed leaves compared to white-light-exposed leaves, ~ 26% were involved in the ‘response to stress’. Among the transcripts significantly upregulated under red light compared to white light, ~ 6% were associated with ‘nucleosome assembly’ and other processes, such as ‘oxidation–reduction process’ and ‘response to water deprivation’ were significantly enriched. Thus, the result from the current study provides deeper insights into differential gene expression patterns and associated functional aspects under varying light qualities. Nature Publishing Group UK 2022-12-28 /pmc/articles/PMC9797559/ /pubmed/36577773 http://dx.doi.org/10.1038/s41598-022-26344-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kumar, Vinod Sugumaran, Krishnakumar Al-Roumi, Amwaj Shajan, Anisha De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title | De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title_full | De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title_fullStr | De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title_full_unstemmed | De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title_short | De-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
title_sort | de-novo transcriptome assembly and analysis of lettuce plants grown under red, blue or white light |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797559/ https://www.ncbi.nlm.nih.gov/pubmed/36577773 http://dx.doi.org/10.1038/s41598-022-26344-2 |
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