MoSep3 and MoExo70 Are Needed for MoCK2 Ring Assembly Essential for Appressorium Function in the Rice Blast Fungus, Magnaporthe Oryzae
Molecular Plant Pathology（2021）
Fujian Agr & Forestry Univ
Abstract
Polar growth during appressorium formation is vital for the penetration peg formation in the rice blast fungus, Magnaporthe oryzae. Previous research has shown that the Sln1-septin-exocyst complex, localized at the base of the appressorium in contact with the leaf surface, forms a ring structure that influences growth polarity and affects penetration peg formation, and is necessary for pathogenicity. Our previous research showed CK2 proteins assemble another ring structure positioned perpendicular to the Sln1-septin-exocyst complex. Our research showed that the CK2 ring needs to become correctly assembled for penetration peg function and subsequent plant infection. In the present study, we found that the ring structures of CK2 are absent in the appressorium of ΔMoSep3 septin deletion mutants lacking the septin ring of the Sln1-septin-exocyst complex. Sln1 affects the septin proteins that recruit the exocyst complex that localizes as another ring at the appressorium's bottom. Destruction of the exocyst complex by mutation also causes incorrect localization of the CK2 ring structure. In conclusion, CK2 probably takes part in reestablishing the appressorium' spolarity growth necessary for penetration peg formation. We can also conclude that the correct localization and assembly of one or more CK2 ring structures in the appressorium depend on the initial assembly of the Sln1-septin-exocyst complex two rings at the base of the appressorium.
MoreTranslated text
Key words
appressorium,CK2,exocyst,penetration peg,septin ring
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined