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Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition

BACKGROUND: Methyl jasmonate (MeJA), which has been identified as a lipid-derived stress hormone, mediates plant resistance to biotic/abiotic stress. Understanding MeJA-induced plant defense provides insight into how they responding to environmental stimuli. RESULT: In this work, the dynamic network...

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Autores principales: Wang, Tengfei, Zhang, Xiujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493714/
https://www.ncbi.nlm.nih.gov/pubmed/34615468
http://dx.doi.org/10.1186/s12870-021-03185-1
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author Wang, Tengfei
Zhang, Xiujun
author_facet Wang, Tengfei
Zhang, Xiujun
author_sort Wang, Tengfei
collection PubMed
description BACKGROUND: Methyl jasmonate (MeJA), which has been identified as a lipid-derived stress hormone, mediates plant resistance to biotic/abiotic stress. Understanding MeJA-induced plant defense provides insight into how they responding to environmental stimuli. RESULT: In this work, the dynamic network analysis method was used to quantitatively identify the tipping point of growth-to-defense transition and detect the associated genes. As a result, 146 genes were detected as dynamic network biomarker (DNB) members and the critical defense transition was identified based on dense time-series RNA-seq data of MeJA-treated Arabidopsis thaliana. The GO functional analysis showed that these DNB genes were significantly enriched in defense terms. The network analysis between DNB genes and differentially expressed genes showed that the hub genes including SYP121, SYP122, WRKY33 and MPK11 play a vital role in plant growth-to-defense transition. CONCLUSIONS: Based on the dynamic network analysis of MeJA-induced plant resistance, we provide an important guideline for understanding the growth-to-defense transition of plants’ response to environment stimuli. This study also provides a database with the key genes of plant defense induced by MeJA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03185-1.
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spelling pubmed-84937142021-10-06 Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition Wang, Tengfei Zhang, Xiujun BMC Plant Biol Research BACKGROUND: Methyl jasmonate (MeJA), which has been identified as a lipid-derived stress hormone, mediates plant resistance to biotic/abiotic stress. Understanding MeJA-induced plant defense provides insight into how they responding to environmental stimuli. RESULT: In this work, the dynamic network analysis method was used to quantitatively identify the tipping point of growth-to-defense transition and detect the associated genes. As a result, 146 genes were detected as dynamic network biomarker (DNB) members and the critical defense transition was identified based on dense time-series RNA-seq data of MeJA-treated Arabidopsis thaliana. The GO functional analysis showed that these DNB genes were significantly enriched in defense terms. The network analysis between DNB genes and differentially expressed genes showed that the hub genes including SYP121, SYP122, WRKY33 and MPK11 play a vital role in plant growth-to-defense transition. CONCLUSIONS: Based on the dynamic network analysis of MeJA-induced plant resistance, we provide an important guideline for understanding the growth-to-defense transition of plants’ response to environment stimuli. This study also provides a database with the key genes of plant defense induced by MeJA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-03185-1. BioMed Central 2021-10-06 /pmc/articles/PMC8493714/ /pubmed/34615468 http://dx.doi.org/10.1186/s12870-021-03185-1 Text en © The Author(s) 2021 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
Wang, Tengfei
Zhang, Xiujun
Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title_full Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title_fullStr Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title_full_unstemmed Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title_short Genome-wide dynamic network analysis reveals the potential genes for MeJA-induced growth-to-defense transition
title_sort genome-wide dynamic network analysis reveals the potential genes for meja-induced growth-to-defense transition
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493714/
https://www.ncbi.nlm.nih.gov/pubmed/34615468
http://dx.doi.org/10.1186/s12870-021-03185-1
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