Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.

Abstract Rice, a staple food consumed by half of the world’s population, is severely affected by the combined impact of abiotic and biotic stresses, with the former causing increased susceptibility of the plant to pathogens. Four microarray datasets for drought, salinity, tungro virus, and blast pat...

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出版年:Scientific Reports
主要な著者: Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal
フォーマット: 論文
言語:英語
出版事項: Nature Portfolio 2025-03-01
主題:
オンライン・アクセス:https://doi.org/10.1038/s41598-025-92942-5
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author Izreen Izzati Razalli
Muhammad-Redha Abdullah-Zawawi
Rabiatul Adawiah Zainal Abidin
Sarahani Harun
Muhamad Hafiz Che Othman
Ismanizan Ismail
Zamri Zainal
author_facet Izreen Izzati Razalli
Muhammad-Redha Abdullah-Zawawi
Rabiatul Adawiah Zainal Abidin
Sarahani Harun
Muhamad Hafiz Che Othman
Ismanizan Ismail
Zamri Zainal
author_sort Izreen Izzati Razalli
collection DOAJ
container_title Scientific Reports
description Abstract Rice, a staple food consumed by half of the world’s population, is severely affected by the combined impact of abiotic and biotic stresses, with the former causing increased susceptibility of the plant to pathogens. Four microarray datasets for drought, salinity, tungro virus, and blast pathogen were retrieved from the Gene Expression Omnibus database. A modular gene co-expression (mGCE) analysis was conducted, followed by gene set enrichment analysis to evaluate the upregulation of module activity across different stress conditions. Over-representation analysis was conducted to determine the functional association of each gene module with stress-related processes and pathways. The protein–protein interaction network of mGCE hub genes was constructed, and the Maximal Clique Centrality (MCC) algorithm was applied to enhance precision in identifying key genes. Finally, genes implicated in both abiotic and biotic stress responses were validated using RT-qPCR. A total of 11, 12, 46, and 14 modules containing 85, 106, 253, and 143 hub genes were detected in drought, salinity, tungro virus, and blast. Modular genes in drought were primarily enriched in response to heat stimulus and water deprivation, while salinity-related genes were enriched in response to external stimuli. For the tungro virus and blast pathogen, enrichment was mainly observed in the defence and stress responses. Interestingly, RPS5, PKG, HSP90, HSP70, and MCM were consistently present in abiotic and biotic stresses. The DEG analysis revealed the upregulation of MCM under the tungro virus and downregulation under blast and drought in resistant rice, indicating its role in viral resistance. HSP70 showed no changes, while HSP90 was upregulated in susceptible rice during blast and drought. PKG increased during drought but decreased in japonica rice under salinity. RPS5 was highly upregulated during blast in both resistant and susceptible rice. The RT-qPCR analysis showed that all five hub genes were upregulated in all treatments, indicating their role in stress responses and potential for crop improvement.
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spelling doaj-art-c15ecc03ea804b2faa0280d55557fb0c2025-08-20T03:02:18ZengNature PortfolioScientific Reports2045-23222025-03-0115111810.1038/s41598-025-92942-5Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.Izreen Izzati Razalli0Muhammad-Redha Abdullah-Zawawi1Rabiatul Adawiah Zainal Abidin2Sarahani Harun3Muhamad Hafiz Che Othman4Ismanizan Ismail5Zamri Zainal6Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM)UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan MalaysiaBiotechnology & Nanotechnology Research Centre, Malaysian Agricultural Research and Development Institute (MARDI)Institute of Systems Biology, Universiti Kebangsaan Malaysia (UKM)Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM)Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM)Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM)Abstract Rice, a staple food consumed by half of the world’s population, is severely affected by the combined impact of abiotic and biotic stresses, with the former causing increased susceptibility of the plant to pathogens. Four microarray datasets for drought, salinity, tungro virus, and blast pathogen were retrieved from the Gene Expression Omnibus database. A modular gene co-expression (mGCE) analysis was conducted, followed by gene set enrichment analysis to evaluate the upregulation of module activity across different stress conditions. Over-representation analysis was conducted to determine the functional association of each gene module with stress-related processes and pathways. The protein–protein interaction network of mGCE hub genes was constructed, and the Maximal Clique Centrality (MCC) algorithm was applied to enhance precision in identifying key genes. Finally, genes implicated in both abiotic and biotic stress responses were validated using RT-qPCR. A total of 11, 12, 46, and 14 modules containing 85, 106, 253, and 143 hub genes were detected in drought, salinity, tungro virus, and blast. Modular genes in drought were primarily enriched in response to heat stimulus and water deprivation, while salinity-related genes were enriched in response to external stimuli. For the tungro virus and blast pathogen, enrichment was mainly observed in the defence and stress responses. Interestingly, RPS5, PKG, HSP90, HSP70, and MCM were consistently present in abiotic and biotic stresses. The DEG analysis revealed the upregulation of MCM under the tungro virus and downregulation under blast and drought in resistant rice, indicating its role in viral resistance. HSP70 showed no changes, while HSP90 was upregulated in susceptible rice during blast and drought. PKG increased during drought but decreased in japonica rice under salinity. RPS5 was highly upregulated during blast in both resistant and susceptible rice. The RT-qPCR analysis showed that all five hub genes were upregulated in all treatments, indicating their role in stress responses and potential for crop improvement.https://doi.org/10.1038/s41598-025-92942-5Modular gene co-expressionHub genesDroughtSalinityTungro virusBlast pathogen
spellingShingle Izreen Izzati Razalli
Muhammad-Redha Abdullah-Zawawi
Rabiatul Adawiah Zainal Abidin
Sarahani Harun
Muhamad Hafiz Che Othman
Ismanizan Ismail
Zamri Zainal
Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
Modular gene co-expression
Hub genes
Drought
Salinity
Tungro virus
Blast pathogen
title Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
title_full Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
title_fullStr Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
title_full_unstemmed Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
title_short Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L.
title_sort identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co expression analysis in oryza sativa l
topic Modular gene co-expression
Hub genes
Drought
Salinity
Tungro virus
Blast pathogen
url https://doi.org/10.1038/s41598-025-92942-5
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