RNA-Seq-derived identification of differential transcription in the eggplant ( Solanum melongena ) following inoculation with bacterial wilt

Chen, Na; Yu, Bingwei; Dong, Riyue; Liu, Jing; Chen, Changming; Cao, Bihao

doi:10.1016/j.gene.2017.11.003

Cited by 11 publications

(12 citation statements)

References 59 publications

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“…Plant defense reactions involve a complicated development course of physiological and biochemical changes. The plant hormone signal transduction, MAPK signaling pathway, plant–pathogen interaction pathway, and flavonoid biosynthesis pathway are involved in the bacterial wilt disease response ( Ishihara et al, 2012 ; Chen et al, 2018 ; Dai et al, 2019 ; Jiang et al, 2019 ; Li et al, 2021a , 2021c ; Wei et al, 2021 ; Zhang & Klessig, 2001 ). After R. solanacearum attack, flavonoids are of prime importance in tomato and Casuarina equisetifolia defense responses ( Zeiss et al, 2018 , 2019 ; Wei et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Genetic resources for bacterial wilt resistance in eggplant are available and the inheritance of bacterial wilt resistance is complex and which based on the R. solanacearum race and environment ( Barik et al, 2020 ). RNA-seq results showed that eggplant resistance to bacterial wilt involved in cell death pathways, cell receptor signaling pathways ( Chen et al, 2018 ). Peng et al (2021) showed that the MAPK signaling pathway, plant pathogen interaction, and glutathione metabolism were co-enriched in roots and stems after inoculation with R. solanacearum .…”

Section: Introductionmentioning

confidence: 99%

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Transcriptome and metabolome response of eggplant against Ralstonia solanacearum infection

Xiao

Lin

Feng

et al. 2023

PeerJ

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Bacterial wilt is a soil-borne disease that represents ubiquitous threat to Solanaceae crops. The whole-root transcriptomes and metabolomes of bacterial wilt-resistant eggplant were studied to understand the response of eggplant to bacterial wilt. A total of 2,896 differentially expressed genes and 63 differences in metabolites were identified after inoculation with Ralstonia solanacearum. Further analysis showed that the biosynthesis pathways for phytohormones, phenylpropanoids, and flavonoids were altered in eggplant after inoculation with R. solanacearum. The results of metabolomes also showed that phytohormones played a key role in eggplant response to bacterial wilt. Integrated analyses of the transcriptomic and metabolic datasets indicated that jasmonic acid (JA) content and gene involved in the JA signaling pathway increased in response to bacterial wilt. These findings remarkably improve our understanding of the mechanisms of induced defense response in eggplant and will provide insights intothe development of disease-resistant varieties of eggplant.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transcriptome and metabolome response of eggplant against Ralstonia solanacearum infection

Xiao

Lin

Feng

et al. 2023

PeerJ

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“…Thousands of DEGs (differentially expressed genes) were identified by RNA-seq after eggplant inoculation with R. solanacearum . KEGG analysis of these DESs showed that the signaling pathways of phytohormones such as SA and JA play a vital role in the defense response [ 21 ]. Several transcriptional factors, such as MYB, NAC and WRKY, also regulate the defense response.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification of Binding Sites for SmTCP7a Transcription Factors of Eggplant during Bacterial Wilt Resistance by ChIP-Seq

Xiou

Lin

Feng

et al. 2022

IJMS

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Teosinte branched 1/cycloidea/proliferating cell factor (TCP) transcription factors play a key role in the regulation of plant biotic and abiotic stresses. In this study, our results show that SmTCP7a positively regulated bacterial wilt that was caused by Ralstoniasolanacearum. ChIP-seq was conducted to analyze the transcriptional regulation mechanism of SmTCP7a before (R0 h) and 48 h after infection (R48 h). SmTCP7a regulated a total of 92 and 91 peak-associated genes in R0 h and R48 h, respectively. A KEGG (Kyoto encyclopedia of genes and genomes) pathway analysis showed that phenylpropanoid biosynthesis, MAPK (mitogen-activated protein kinas) signaling pathway, plant hormone signal transduction and plant-pathogen interactions were involved. The difference in peaks between R0 h and R48 h showed that there were three peak-associated genes that were modulated by infection. A better understanding of the potential target genes of SmTCP7a in response to R. solanacearum will provide a comprehensive understanding of the SmTCP7a regulatory mechanism during the eggplant defense response to bacterial wilt.

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“…With the rapid development of next generation sequencing technology (NGS), RNAseq has been employed as a simple method for identifying resistance genes at the genome level through the analysis of transcriptional maps generated throughout the genome. Previous studies on Solanaceae crops inoculated with R. solanacearum showed that in eggplants, auxin sensitive inhibitor Aux/IAA gene, JA pathway MYC2 and JAZ genes, SA pathway PR1 gene, and transcription factor WRKY family SiWRKY53 were ideal target genes for the molecular breeding of eggplants with bacterial wilt-resistance [10,11]. Li et al [12] revealed that WRKY6 and WRKY11 genes of the WRKY family, ERF5 and ERF15 genes of the ERF family, and PR5 genes were significantly upregulated in tobacco.…”

Section: Introductionmentioning

confidence: 99%

Weighted Gene Co-Expression Analysis Network-Based Analysis on the Candidate Pathways and Hub Genes in Eggplant Bacterial Wilt-Resistance: A Plant Research Study

Peng

Wang

Fang

et al. 2021

IJMS

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Solanum melongena L. (eggplant) bacterial wilt is a severe soil borne disease. Here, this study aimed to explore the regulation mechanism of eggplant bacterial wilt-resistance by transcriptomics with weighted gene co-expression analysis network (WGCNA). The different expression genes (DEGs) of roots and stems were divided into 21 modules. The module of interest (root: indianred4, stem: coral3) with the highest correlation with the target traits was selected to elucidate resistance genes and pathways. The selected module of roots and stems co-enriched the pathways of MAPK signalling pathway, plant pathogen interaction, and glutathione metabolism. Each top 30 hub genes of the roots and stems co-enriched a large number of receptor kinase genes. A total of 14 interesting resistance-related genes were selected and verified with quantitative polymerase chain reaction (qPCR). The qPCR results were consistent with those of WGCNA. The hub gene of EGP00814 (namely SmRPP13L4) was further functionally verified; SmRPP13L4 positively regulated the resistance of eggplant to bacterial wilt by qPCR and virus-induced gene silencing (VIGS). Our study provides a reference for the interaction between eggplants and bacterial wilt and the breeding of broad-spectrum and specific eggplant varieties that are bacterial wilt-resistant.

show abstract

RNA-Seq-derived identification of differential transcription in the eggplant ( Solanum melongena ) following inoculation with bacterial wilt

Cited by 11 publications

References 59 publications

Transcriptome and metabolome response of eggplant against Ralstonia solanacearum infection

Transcriptome and metabolome response of eggplant against Ralstonia solanacearum infection

Genome-Wide Identification of Binding Sites for SmTCP7a Transcription Factors of Eggplant during Bacterial Wilt Resistance by ChIP-Seq

Weighted Gene Co-Expression Analysis Network-Based Analysis on the Candidate Pathways and Hub Genes in Eggplant Bacterial Wilt-Resistance: A Plant Research Study

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