Ustilaginoidea virens Nuclear Effector SCRE4 Suppresses Rice Immunity via Inhibiting Expression of a Positive Immune Regulator OsARF17

Qiu, Shanshan; Fang, Anfei; Zheng, Xinhang; Wang, Shanzhi; Wang, Jiyang; Fan, Jing; Sun, Zongtao; Gao, Han; Yang, Jiang-Yan; Zeng, Qingtao; Cui, Fuhao; Wang, Wenming; Chen, Jianping; Sun, Wenxian

doi:10.3390/ijms231810527

Cited by 10 publications

(13 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies revealed that the Ustilaginoidea virens- secreted effector SCRE4 inhibits the expression of the positive immune regulator OsARF17, thereby suppressing rice immunity 67 . However, the biological function of SCRE4 has not been fully understood.…”

Section: Resultsmentioning

confidence: 99%

HGNNPIP: A Hybrid Graph Neural Network framework for Protein-protein Interaction Prediction

Chi,

Ma,

Wan

et al. 2023

Preprint

View full text Add to dashboard Cite

A deep understanding of Protein-protein interactions (PPIs) can provide comprehensive insights into many biological functions, thereby facilitating drug target identification and novel therapeutic design. Recent developments in artificial intelligence (AI)-driven computational methods have enabled the discovery of previously uncharacterized PPIs from large-scale interactome datasets. Almost all existing machine learning methods rely on Subcellular Localization (SL) to construct balanced datasets based on positive interactions to achieve predictions. Despite high fitting accuracy, the generalization ability of these models is questionable. To solve this problem, we analyzed existing methods and found that the high false positives in these methods are due to the bias in data distribution caused by SL. Therefore, we proposed a new strategy for negative instance sampling in PPI prediction and developed a Hybrid Graph Neural Network framework for Protein-protein Interaction Prediction (HGNNPIP). The experimental results showed that HGNNPIP works well on six benchmark datasets. Comparison analysis demonstrated that our model outperformed the other four existing methods. We also used HGNNPIP to explore the molecular contacts involved in the rice-pathogen interaction system.In vivoexperiments confirmed multiple regulations related to disease resistance in rice. In summary, this study provides new insights into establishing a computational framework for PPI prediction with high reliability.

show abstract

Section: Resultsmentioning

confidence: 99%

HGNNPIP: A Hybrid Graph Neural Network framework for Protein-protein Interaction Prediction

Chi,

Ma,

Wan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The gene replacement mutants were screened by PCR and were then confirmed by Southern blot analysis as described previously (Qiu et al., 2022 ). Briefly, genomic DNA was isolated through CTAB method.…”

Section: Methodsmentioning

confidence: 99%

“…Virulence assay was performed as described previously (Li et al, 2019;Qiu et al, 2022). Briefly, the wild-type, ΔUvhos3…”

Section: Virulence Assaymentioning

confidence: 99%

UvHOS3‐mediated histone deacetylation is essential for virulence and negatively regulates ustilaginoidin biosynthesis in Ustilaginoidea virens

Wang,

Duan,

Liu

et al. 2024

Molecular Plant Pathology

Self Cite

View full text Add to dashboard Cite

Ustilaginoidea virens is the causal agent of rice false smut, which has recently become one of the most important rice diseases worldwide. Ustilaginoidins, a major type of mycotoxins produced in false smut balls, greatly deteriorates grain quality. Histone acetylation and deacetylation are involved in regulating secondary metabolism in fungi. However, little is yet known on the functions of histone deacetylases (HDACs) in virulence and mycotoxin biosynthesis in U. virens. Here, we characterized the functions of the HDAC UvHOS3 in U. virens. The ΔUvhos3 deletion mutant exhibited the phenotypes of retarded growth, increased mycelial branches and reduced conidiation and virulence. The ΔUvhos3 mutants were more sensitive to sorbitol, sodium dodecyl sulphate and oxidative stress/H2O2. ΔUvhos3 generated significantly more ustilaginoidins. RNA‐Seq and metabolomics analyses also revealed that UvHOS3 is a key negative player in regulating secondary metabolism, especially mycotoxin biosynthesis. Notably, UvHOS3 mediates deacetylation of H3 and H4 at H3K9, H3K18, H3K27 and H4K8 residues. Chromatin immunoprecipitation assays indicated that UvHOS3 regulates mycotoxin biosynthesis, particularly for ustilaginoidin and sorbicillinoid production, by modulating the acetylation level of H3K18. Collectively, this study deepens the understanding of molecular mechanisms of the HDAC UvHOS3 in regulating virulence and mycotoxin biosynthesis in phytopathogenic fungi.

show abstract

“…The effectors SCRE1 and UV_1261/SCRE2 inhibited highly sensitive cell death induced by the mouse proapoptotic protein Bax and Phytophthora infestans elicitin INF1, and they also inhibited immunity induced by pathogen-associated molecular patterns in rice [ 37 , 38 ]. Recent studies showed that the expression of the effector SCRE4 repressed the transcription of the immunopositive regulatory factor OsARF17 in U. virens , which promoted infection [ 39 ]. In addition, the effector SCRE6, a phosphatase of Aspergillus oryzae , interacted with rice mitogen-activated protein kinase 6 (OsMPK6) to dephosphorylate OsMPK6 and enhance its stability, thereby negatively regulating the rice immune response [ 40 ].…”

Section: Genomics and Effectors In Ustilaginoidea Virensmentioning

confidence: 99%

The Genetic Mechanism of the Immune Response to the Rice False Smut (RFS) Fungus Ustilaginoidea virens

Yang

Huang

et al. 2023

Plants

View full text Add to dashboard Cite

Rice false smut (RFS), which is caused by Ustilaginoidea virens (U. virens), has become one of the most devastating diseases in rice-growing regions worldwide. The disease results in a significant yield loss and poses health threats to humans and animals due to producing mycotoxins. In this review, we update the understanding of the symptoms and resistance genes of RFS, as well as the genomics and effectors in U. virens. We also highlight the genetic mechanism of the immune response to RFS. Finally, we analyse and explore the identification method for RFS, breeding for resistance against the disease, and interactions between the effector proteins and resistance (R) proteins, which would be involved in the development of rice disease resistance materials for breeding programmes.

show abstract

Ustilaginoidea virens Nuclear Effector SCRE4 Suppresses Rice Immunity via Inhibiting Expression of a Positive Immune Regulator OsARF17

Cited by 10 publications

References 71 publications

HGNNPIP: A Hybrid Graph Neural Network framework for Protein-protein Interaction Prediction

HGNNPIP: A Hybrid Graph Neural Network framework for Protein-protein Interaction Prediction

UvHOS3‐mediated histone deacetylation is essential for virulence and negatively regulates ustilaginoidin biosynthesis in Ustilaginoidea virens

The Genetic Mechanism of the Immune Response to the Rice False Smut (RFS) Fungus Ustilaginoidea virens

Contact Info

Product

Resources

About