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Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar

Leaf blight is a fungal disease that mainly affects the growth and development of leaves in plants. To investigate the molecular mechanisms of leaf blight defense in poplar, we performed RNA-Seq and enzyme activity assays on the Populus simonii × Populus nigra leaves inoculated with Alternaria alter...

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Autores principales: Wang, Ruiqi, Wang, Yuting, Yao, Wenjing, Ge, Wengong, Jiang, Tingbo, Zhou, Boru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298882/
https://www.ncbi.nlm.nih.gov/pubmed/37373194
http://dx.doi.org/10.3390/ijms241210047
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author Wang, Ruiqi
Wang, Yuting
Yao, Wenjing
Ge, Wengong
Jiang, Tingbo
Zhou, Boru
author_facet Wang, Ruiqi
Wang, Yuting
Yao, Wenjing
Ge, Wengong
Jiang, Tingbo
Zhou, Boru
author_sort Wang, Ruiqi
collection PubMed
description Leaf blight is a fungal disease that mainly affects the growth and development of leaves in plants. To investigate the molecular mechanisms of leaf blight defense in poplar, we performed RNA-Seq and enzyme activity assays on the Populus simonii × Populus nigra leaves inoculated with Alternaria alternate fungus. Through weighted gene co-expression network analysis (WGCNA), we obtained co-expression gene modules significantly associated with SOD and POD activities, containing 183 and 275 genes, respectively. We then constructed a co-expression network of poplar genes related to leaf blight resistance based on weight values. Additionally, we identified hub transcription factors (TFs) and structural genes in the network. The network was dominated by 15 TFs, and four out of them, including ATWRKY75, ANAC062, ATMYB23 and ATEBP, had high connectivity in the network, which might play important functions in leaf blight defense. In addition, GO enrichment analysis revealed a total of 44 structural genes involved in biotic stress, resistance, cell wall and immune-related biological processes in the network. Among them, there were 16 highly linked structural genes in the central part, which may be directly involved in poplar resistance to leaf blight. The study explores key genes associated with leaf blight defense in poplar, which further gains an understanding of the molecular mechanisms of biotic stress response in plants.
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spelling pubmed-102988822023-06-28 Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar Wang, Ruiqi Wang, Yuting Yao, Wenjing Ge, Wengong Jiang, Tingbo Zhou, Boru Int J Mol Sci Article Leaf blight is a fungal disease that mainly affects the growth and development of leaves in plants. To investigate the molecular mechanisms of leaf blight defense in poplar, we performed RNA-Seq and enzyme activity assays on the Populus simonii × Populus nigra leaves inoculated with Alternaria alternate fungus. Through weighted gene co-expression network analysis (WGCNA), we obtained co-expression gene modules significantly associated with SOD and POD activities, containing 183 and 275 genes, respectively. We then constructed a co-expression network of poplar genes related to leaf blight resistance based on weight values. Additionally, we identified hub transcription factors (TFs) and structural genes in the network. The network was dominated by 15 TFs, and four out of them, including ATWRKY75, ANAC062, ATMYB23 and ATEBP, had high connectivity in the network, which might play important functions in leaf blight defense. In addition, GO enrichment analysis revealed a total of 44 structural genes involved in biotic stress, resistance, cell wall and immune-related biological processes in the network. Among them, there were 16 highly linked structural genes in the central part, which may be directly involved in poplar resistance to leaf blight. The study explores key genes associated with leaf blight defense in poplar, which further gains an understanding of the molecular mechanisms of biotic stress response in plants. MDPI 2023-06-12 /pmc/articles/PMC10298882/ /pubmed/37373194 http://dx.doi.org/10.3390/ijms241210047 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
Wang, Ruiqi
Wang, Yuting
Yao, Wenjing
Ge, Wengong
Jiang, Tingbo
Zhou, Boru
Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title_full Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title_fullStr Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title_full_unstemmed Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title_short Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar
title_sort transcriptome sequencing and wgcna reveal key genes in response to leaf blight in poplar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298882/
https://www.ncbi.nlm.nih.gov/pubmed/37373194
http://dx.doi.org/10.3390/ijms241210047
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