Identification and characterization of specific motifs in effector proteins of plant parasites using MOnSTER DOI Creative Commons

Giulia Calia,

Paola Porracciolo,

Yongpan Chen

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 12, 2024

Plant pathogens cause billions of dollars crop loss every year and are a major threat to global food security. Identifying characterizing effectors is crucial towards their improved control. Because poor sequence conservation, effector identification challenging, current methods generate too many candidates without indication for prioritizing experimental studies. In most phyla, contain specific motifs which influence localization targets in the plant. Therefore, there an urgent need develop bioinformatics tools tailored pathogen effectors. To circumvent these limitations, we have developed MOnSTER tool that identifies clusters protein sequences (CLUMPs). can be fed with identified by de novo or from databases such as Pfam InterProScan. The advantage reduction motif redundancy clustering them associating score. This score encompasses physicochemical properties AAs occurrences. We built up our method identify discriminant CLUMPs oomycetes Consequently, applied on plant parasitic nematodes six about 60% known nematode candidate parasitism proteins. Furthermore, found co-occurrences domains important invasion pathogenicity. potentiality this goes beyond characterization used easily cluster calculate CLUMP-score any set sequences.

Language: Английский

Arabidopsis OTU2 deubiquitinates cysteine protease RD21A to enhance clubroot resistance DOI Creative Commons
Chao Li, Sha Li, Lu Feng

et al.

The Plant Journal, Journal Year: 2025, Volume and Issue: 122(1)

Published: April 1, 2025

SUMMARY Clubroot is a major threat to cruciferous crops worldwide, largely due the complex pathogenesis of its causal agent, Plasmodiophora brassicae , and limited availability genetic resistance in plants. Previous research has shown that P. secretes E3 ubiquitin ligase PbE3‐2, which targets degrades Arabidopsis thaliana cysteine protease RD21A facilitate infection. In this study, we identified plant defense mechanism counteracts pathogen virulence strategy. We found A. deubiquitinating enzyme OTU2, whose expression upregulated during infection, interacts with RD21A. Notably, OTU2 stabilized by deubiquitination inhibited interaction between PbE3‐2 Furthermore, overexpression enhanced an RD21A‐dependent manner. Collectively, our findings demonstrate deubiquitinates RD21A, protecting it from PbE3‐2‐mediated degradation thereby mitigating virulence. This study provides new insights into immune mechanisms offers potential strategies for developing clubroot‐resistant crops.

Language: Английский

Citations

0
Targeting conserved secreted effectors to control rice blast DOI
Chongyang Zhang, Qin Feng, Jue Ruan

et al.

Trends in Plant Science, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

2
CaZingipain2 Acts Positively in Pepper (Capsicum annuum L.) Immunity against R. solanacearum DOI Creative Commons

Ruijie Wu,

Zhen Wu,

Yalin Qing

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(18), P. 2552 - 2552

Published: Sept. 11, 2024

Bacterial wilt caused by

Language: Английский

Citations

1
Identification and characterization of specific motifs in effector proteins of plant parasites using MOnSTER DOI Creative Commons

Giulia Calia,

Paola Porracciolo,

Yongpan Chen

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 12, 2024

Plant pathogens cause billions of dollars crop loss every year and are a major threat to global food security. Identifying characterizing effectors is crucial towards their improved control. Because poor sequence conservation, effector identification challenging, current methods generate too many candidates without indication for prioritizing experimental studies. In most phyla, contain specific motifs which influence localization targets in the plant. Therefore, there an urgent need develop bioinformatics tools tailored pathogen effectors. To circumvent these limitations, we have developed MOnSTER tool that identifies clusters protein sequences (CLUMPs). can be fed with identified by de novo or from databases such as Pfam InterProScan. The advantage reduction motif redundancy clustering them associating score. This score encompasses physicochemical properties AAs occurrences. We built up our method identify discriminant CLUMPs oomycetes Consequently, applied on plant parasitic nematodes six about 60% known nematode candidate parasitism proteins. Furthermore, found co-occurrences domains important invasion pathogenicity. potentiality this goes beyond characterization used easily cluster calculate CLUMP-score any set sequences.

Language: Английский

Citations

1