Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones

Abstract Background Plants can perceive bacterial molecules such as the quorum sensing signals N-acyl homoserine lactones (AHL), thus modifying their fitness in response to environmental factors. Even though the benefits conferred by AHL depend on various hormone signaling pathways, the understandin...

Full description

Saved in:
Bibliographic Details
Main Authors: Yongming Duan, Min Han, Maja Grimm, Adam Schikora
Format: Article
Language:English
Published: CABI 2024-01-01
Series:CABI Agriculture and Bioscience
Subjects:
Online Access:https://doi.org/10.1186/s43170-023-00206-x
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832544254180720640
author Yongming Duan
Min Han
Maja Grimm
Adam Schikora
author_facet Yongming Duan
Min Han
Maja Grimm
Adam Schikora
author_sort Yongming Duan
collection DOAJ
description Abstract Background Plants can perceive bacterial molecules such as the quorum sensing signals N-acyl homoserine lactones (AHL), thus modifying their fitness in response to environmental factors. Even though the benefits conferred by AHL depend on various hormone signaling pathways, the understanding of AHL signaling, especially the response to AHL presence, remains largely unknown. Methods Weighted gene co-expression network analysis (WGCNA), multi-omics network analysis, and reverse transcription quantitative PCR (RT-qPCR) assays were used to identify key genes in AHL signaling. Results To obtain comprehensive insights on AHL signaling, we integrated available transcriptome data from Arabidopsis thaliana exposed to different single or multiple AHL molecules and performed a weighted gene co-expression network analysis. We identified several key genes regulated in plants exposed to multiple AHL molecules. Multi-omics network analysis and RT-qPCR assay revealed a potential role of WRKY transcription factors. Conclusions Results presented here offer good indications for exploring the mechanism of plants' response to bacterial signaling molecules, which could further support the application of AHL-producing bacteria in sustainable agriculture.
format Article
id doaj-art-2c9a21794d8242d58b38fbbe246f1f4d
institution Kabale University
issn 2662-4044
language English
publishDate 2024-01-01
publisher CABI
record_format Article
series CABI Agriculture and Bioscience
spelling doaj-art-2c9a21794d8242d58b38fbbe246f1f4d2025-02-03T10:41:22ZengCABICABI Agriculture and Bioscience2662-40442024-01-015111610.1186/s43170-023-00206-xNetwork analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactonesYongming Duan0Min Han1Maja Grimm2Adam Schikora3Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen DiagnosticsJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen DiagnosticsJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen DiagnosticsJulius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen DiagnosticsAbstract Background Plants can perceive bacterial molecules such as the quorum sensing signals N-acyl homoserine lactones (AHL), thus modifying their fitness in response to environmental factors. Even though the benefits conferred by AHL depend on various hormone signaling pathways, the understanding of AHL signaling, especially the response to AHL presence, remains largely unknown. Methods Weighted gene co-expression network analysis (WGCNA), multi-omics network analysis, and reverse transcription quantitative PCR (RT-qPCR) assays were used to identify key genes in AHL signaling. Results To obtain comprehensive insights on AHL signaling, we integrated available transcriptome data from Arabidopsis thaliana exposed to different single or multiple AHL molecules and performed a weighted gene co-expression network analysis. We identified several key genes regulated in plants exposed to multiple AHL molecules. Multi-omics network analysis and RT-qPCR assay revealed a potential role of WRKY transcription factors. Conclusions Results presented here offer good indications for exploring the mechanism of plants' response to bacterial signaling molecules, which could further support the application of AHL-producing bacteria in sustainable agriculture.https://doi.org/10.1186/s43170-023-00206-xWGCNAWRKY transcription factorsNetwork analysisN-acyl homoserine lactonesArabidopsis
spellingShingle Yongming Duan
Min Han
Maja Grimm
Adam Schikora
Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
CABI Agriculture and Bioscience
WGCNA
WRKY transcription factors
Network analysis
N-acyl homoserine lactones
Arabidopsis
title Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
title_full Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
title_fullStr Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
title_full_unstemmed Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
title_short Network analysis uncovers the master role of WRKY transcription factors in Arabidopsis thaliana response to N-acyl homoserine lactones
title_sort network analysis uncovers the master role of wrky transcription factors in arabidopsis thaliana response to n acyl homoserine lactones
topic WGCNA
WRKY transcription factors
Network analysis
N-acyl homoserine lactones
Arabidopsis
url https://doi.org/10.1186/s43170-023-00206-x
work_keys_str_mv AT yongmingduan networkanalysisuncoversthemasterroleofwrkytranscriptionfactorsinarabidopsisthalianaresponsetonacylhomoserinelactones
AT minhan networkanalysisuncoversthemasterroleofwrkytranscriptionfactorsinarabidopsisthalianaresponsetonacylhomoserinelactones
AT majagrimm networkanalysisuncoversthemasterroleofwrkytranscriptionfactorsinarabidopsisthalianaresponsetonacylhomoserinelactones
AT adamschikora networkanalysisuncoversthemasterroleofwrkytranscriptionfactorsinarabidopsisthalianaresponsetonacylhomoserinelactones