Transcriptome Profiling of the Leaf Spot Pathogen, <i>Pestalotiopsis trachicarpicola</i>, and Its Host, Tea (<i>Camellia sinensis</i>), During Infection

Xia, Zhongqiu; Yin, Qiaoxiu; Qiu, Changlong; Yang, Yuanyou; Guo, Di; Huang, Hongbin; Tang, Qin; Jiang, Shilong; Zhao, Xiaosheng; Chen, Zhuo

doi:10.1094/pdis-12-21-2698-a

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…A total of 102 mRNA sequencing datasets encompassing seven fungal pathogen treatments, i.e. Colletotrichum camelliae 14 , Didymella bellidis , Didymella segeticola 18 , Epicoccum sorghinum 19 , Lasiodiplodia theobromae 16 , Pestalotiopsis trachicarpicola 13 and Pseudopestalotiopsis sp. 17 at multiple time intervals including uninfected or control samples were obtained from NCBI-SRA and categorized accordingly (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…A total of 102 RNA-seq datasets were harvested from the NCBI-SRA, comprising the raw sequence reads of mRNAs originating from tea leaves uninfected and infected groups of seven fungal pathogens viz. C. camelliae (BioProject: PRJNA396805) 14 , D. bellidis (BioProject: PRJNA800776), D. segeticola (BioProject: PRJNA528172) 18 , E. sorghinum (BioProject: PRJNA799860) 19 , L. theobromae (BioProject: PRJNA752965) 16 P. trachicarpicola (BioProject: PRJNA756832) 13 and Pseudopestalotiopsis sp. (BioProject: PRJNA564655) 17 .…”

Section: Methodsmentioning

confidence: 99%

“…Transcriptome profiling research has been done in relation to tea fungal infections in a number of studies 13 – 19 . Those studies mostly report transcriptomic responses to specific pathogens; some do not implement the reference genome or use different versions of tea genomes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea

Hazra,

Ghosh,

Naskar

et al. 2023

Sci Rep

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Fungal infections are the inevitable limiting factor for productivity of tea. Transcriptome reprogramming recruits multiple regulatory pathways during pathogen infection. A comprehensive meta-analysis was performed utilizing previously reported, well-replicated transcriptomic datasets from seven fungal diseases of tea. The study identified a cumulative set of 18,517 differentially expressed genes (DEGs) in tea, implicated in several functional clusters, including the MAPK signaling pathway, transcriptional regulation, and the biosynthesis of phenylpropanoids. Gene set enrichment analyses under each pathogen stress elucidated that DEGs were involved in ethylene metabolism, secondary metabolism, receptor kinase activity, and various reactive oxygen species detoxification enzyme activities. Expressional fold change of combined datasets highlighting 2258 meta-DEGs shared a common transcriptomic response upon fungal stress in tea. Pervasive duplication events caused biotic stress-responsive core DEGs to appear in multiple copies throughout the tea genome. The co-expression network of meta-DEGs in multiple modules demonstrated the coordination of appropriate pathways, most of which involved cell wall organization. The functional coordination was controlled by a number of hub genes and miRNAs, leading to pathogenic resistance or susceptibility. This first-of-its-kind meta-analysis of host–pathogen interaction generated consensus candidate loci as molecular signatures, which can be associated with future resistance breeding programs in tea.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea

Hazra,

Ghosh,

Naskar

et al. 2023

Sci Rep

View full text Add to dashboard Cite

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“…The intricate molecular response in tea plants during tea blister blight infection involves the modulation of various genes, concomitant with heightened activation and up-regulation of disease-resistant transcription factors [28]. Furthermore, S genes, derived from either tea leaves or Pestalotiopsis trachicarpicola, significantly contribute to defense-related pathways in the tea plant, such as those associated with glycolysis/gluconeogenesis as well as oxidative phosphorylation in the pathogen [29]. The expression of genes related to cell wall biogenesis and the plant hormone signal transduction pathway shows notable responses to Didymella segeticola, particularly in enhancing defense mechanisms [30].…”

Section: Introductionmentioning

confidence: 99%

Comparative Transcript Profiling of Resistant and Susceptible Tea Plants in Response to Gray Blight Disease

Tan,

Jiao,

Huang

et al. 2024

Agronomy

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Gray blight disease stands as one of the most destructive ailments affecting tea plants, causing significant damage and productivity losses. However, the dynamic roles of defense genes during the infection of gray blight disease remain largely unclear, particularly concerning their distinct responses in resistant and susceptible cultivars. In the pursuit of understanding the molecular interactions associated with gray blight disease in tea plants, a transcriptome analysis unveiled that 10,524, 17,863, and 15,178 genes exhibited differential expression in the resistant tea cultivar (Yingshuang), while 14,891, 14,733, and 12,184 genes showed differential expression in the susceptible tea cultivar (Longjing 43) at 8, 24, and 72 h post-inoculation (hpi), respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses highlighted that the most up-regulated genes were mainly involved in secondary metabolism, photosynthesis, oxidative phosphorylation, and ribosome pathways. Furthermore, plant hormone signal transduction and flavonoid biosynthesis were specifically expressed in resistant and susceptible tea cultivars, respectively. These findings provide a more comprehensive understanding of the molecular mechanisms underlying tea plant immunity against gray blight disease.

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“…Leaf spot on tea (Camellia sinensis (L.) O. Kuntze), caused by P. trachicarpicola, can negatively affect the production and quality of tea leaves [15]. Chang Liu et al [16] revealed the metabolites of P. kenyana were significantly different under the induction of Z. schinifolium leaves and metabolite 3, 5-dimethoxy benzoic acid, and S-(5-adenosyl)-L-homocysteine were identified as the most likely pathogenic substances.…”

Section: Introductionmentioning

confidence: 99%

Antifungal Mechanism of Phenazine-1-Carboxylic Acid against Pestalotiopsis kenyana

Xun

Gong

Liu

et al. 2023

IJMS

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Pestalotiopsis sp. is an important class of plant pathogenic fungi that can infect a variety of crops. We have proved the pathogenicity of P. kenyana on bayberry leaves and caused bayberry blight. Phenazine-1-carboxylic acid (PCA) has the characteristics of high efficiency, low toxicity, and environmental friendliness, which can prevent fungal diseases on a variety of crops. In this study, the effect of PCA on the morphological, physiological, and molecular characteristics of P. kenyana has been investigated, and the potential antifungal mechanism of PCA against P. kenyana was also explored. We applied PCA on P. kenyana in vitro and in vivo to determine its inhibitory effect on PCA. It was found that PCA was highly efficient against P. kenyana, with EC50 around 2.32 μg/mL, and the in vivo effect was 57% at 14 μg/mL. The mechanism of PCA was preliminarily explored by transcriptomics technology. The results showed that after the treatment of PCA, 3613 differential genes were found, focusing on redox processes and various metabolic pathways. In addition, it can also cause mycelial development malformation, damage cell membranes, reduce mitochondrial membrane potential, and increase ROS levels. This result expanded the potential agricultural application of PCA and revealed the possible mechanism against P. kenyana.

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Transcriptome Profiling of the Leaf Spot Pathogen, Pestalotiopsis trachicarpicola, and Its Host, Tea (Camellia sinensis), During Infection

Cited by 5 publications

References 21 publications

Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea

Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea

Comparative Transcript Profiling of Resistant and Susceptible Tea Plants in Response to Gray Blight Disease

Antifungal Mechanism of Phenazine-1-Carboxylic Acid against Pestalotiopsis kenyana

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