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Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines

BACKGROUND: As one of the ten most famous flowers in China, the chrysanthemum has rich germplasm with a variety of flowering induction pathways, most of which are photoperiod-induced. After treatment with DNA methylation inhibitors, it was found that DNA methylation plays an important role in flower...

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Autores principales: Kang, Dongru, Khan, Muhammad Ayoub, Song, Pan, Liu, Yvru, Wu, Yifei, Ai, Penghui, Li, Zhongai, Wang, Zicheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862865/
https://www.ncbi.nlm.nih.gov/pubmed/36670371
http://dx.doi.org/10.1186/s12870-023-04036-x
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author Kang, Dongru
Khan, Muhammad Ayoub
Song, Pan
Liu, Yvru
Wu, Yifei
Ai, Penghui
Li, Zhongai
Wang, Zicheng
author_facet Kang, Dongru
Khan, Muhammad Ayoub
Song, Pan
Liu, Yvru
Wu, Yifei
Ai, Penghui
Li, Zhongai
Wang, Zicheng
author_sort Kang, Dongru
collection PubMed
description BACKGROUND: As one of the ten most famous flowers in China, the chrysanthemum has rich germplasm with a variety of flowering induction pathways, most of which are photoperiod-induced. After treatment with DNA methylation inhibitors, it was found that DNA methylation plays an important role in flowering regulation, but the mechanism of action remains unclear. Therefore, in this study, curcumin, 5-azaC, their mixed treatment, and MET1(-RNAi) lines were used for transcriptome sequencing to find out how different treatments affected gene expression in chrysanthemums at different stages of flowering. RESULTS: Genomic DNA methylation levels were measured using HPLC technology. The methylation level of the whole genome in the vegetative growth stage was higher than that in the flowering stage. The methylation level of DNA in the vegetative growth stage was the lowest in the curcumin and mixed treatment, and the methylation level of DNA in the transgenic line, mixed treatment, and curcumin treatment was the lowest in the flowering stage. The flowering rate of mixed treatment and curcumin treatment was the lowest. Analysis of differentially expressed genes in transcriptomes showed that 5-azaC treatment had the most differentially expressed genes, followed by curcumin and transgenic lines, and mixed treatment had the fewest. In addition, 5-azaC treatment resulted in the differential expression of multiple DNA methylation transferases, which led to the differential expression of many genes. Analysis of differentially expressed genes in different treatments revealed that different treatments had gene specificity. However, the down-regulated GO pathway in all 4 treatments was involved in the negative regulation of the reproductive process, and post-embryonic development, and regulation of flower development. Several genes associated with DNA methylation and flowering regulation showed differential expression in response to various treatments. CONCLUSIONS: Both DNA methylase reagent treatment and targeted silencing of the MET1 gene can cause differential expression of the genes. The operation of the exogenous application is simple, but the affected genes are exceedingly diverse and untargeted. Therefore, it is possible to construct populations with DNA methylation phenotypic diversity and to screen genes for DNA methylation regulation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04036-x.
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spelling pubmed-98628652023-01-22 Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines Kang, Dongru Khan, Muhammad Ayoub Song, Pan Liu, Yvru Wu, Yifei Ai, Penghui Li, Zhongai Wang, Zicheng BMC Plant Biol Research BACKGROUND: As one of the ten most famous flowers in China, the chrysanthemum has rich germplasm with a variety of flowering induction pathways, most of which are photoperiod-induced. After treatment with DNA methylation inhibitors, it was found that DNA methylation plays an important role in flowering regulation, but the mechanism of action remains unclear. Therefore, in this study, curcumin, 5-azaC, their mixed treatment, and MET1(-RNAi) lines were used for transcriptome sequencing to find out how different treatments affected gene expression in chrysanthemums at different stages of flowering. RESULTS: Genomic DNA methylation levels were measured using HPLC technology. The methylation level of the whole genome in the vegetative growth stage was higher than that in the flowering stage. The methylation level of DNA in the vegetative growth stage was the lowest in the curcumin and mixed treatment, and the methylation level of DNA in the transgenic line, mixed treatment, and curcumin treatment was the lowest in the flowering stage. The flowering rate of mixed treatment and curcumin treatment was the lowest. Analysis of differentially expressed genes in transcriptomes showed that 5-azaC treatment had the most differentially expressed genes, followed by curcumin and transgenic lines, and mixed treatment had the fewest. In addition, 5-azaC treatment resulted in the differential expression of multiple DNA methylation transferases, which led to the differential expression of many genes. Analysis of differentially expressed genes in different treatments revealed that different treatments had gene specificity. However, the down-regulated GO pathway in all 4 treatments was involved in the negative regulation of the reproductive process, and post-embryonic development, and regulation of flower development. Several genes associated with DNA methylation and flowering regulation showed differential expression in response to various treatments. CONCLUSIONS: Both DNA methylase reagent treatment and targeted silencing of the MET1 gene can cause differential expression of the genes. The operation of the exogenous application is simple, but the affected genes are exceedingly diverse and untargeted. Therefore, it is possible to construct populations with DNA methylation phenotypic diversity and to screen genes for DNA methylation regulation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-023-04036-x. BioMed Central 2023-01-21 /pmc/articles/PMC9862865/ /pubmed/36670371 http://dx.doi.org/10.1186/s12870-023-04036-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Kang, Dongru
Khan, Muhammad Ayoub
Song, Pan
Liu, Yvru
Wu, Yifei
Ai, Penghui
Li, Zhongai
Wang, Zicheng
Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title_full Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title_fullStr Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title_full_unstemmed Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title_short Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines
title_sort comparative analysis of the chrysanthemum transcriptome with dna methylation inhibitors treatment and silencing met1 lines
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862865/
https://www.ncbi.nlm.nih.gov/pubmed/36670371
http://dx.doi.org/10.1186/s12870-023-04036-x
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