2022
DOI: 10.1080/1040841x.2022.2083939
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Understanding enemy’s weapons to an effective prevention: common virulence effects across microbial phytopathogens kingdoms

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Cited by 7 publications
(9 citation statements)
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References 132 publications
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“…1D ). RipE1 belongs to the HopX1/AvrPphE effector family, the members of which share a conserved N-terminal domain and a catalytic triad with predicted cysteine protease activity (54, 55, 60). RipE1 produced by the R. solanacearum RS1000 strain has been shown to possess this enzymatic activity and it seemingly depends on it to cleave JAZ repressors (49).…”
Section: Resultsmentioning
confidence: 99%
“…1D ). RipE1 belongs to the HopX1/AvrPphE effector family, the members of which share a conserved N-terminal domain and a catalytic triad with predicted cysteine protease activity (54, 55, 60). RipE1 produced by the R. solanacearum RS1000 strain has been shown to possess this enzymatic activity and it seemingly depends on it to cleave JAZ repressors (49).…”
Section: Resultsmentioning
confidence: 99%
“…Being the components of an essential cellular mechanism, exocyst subunits are often targeted by pathogens that manipulate host cell physiology (Michalopoulou et al., 2022; Tsakiri et al., 2022; Wang et al., 2019). Successful plant pathogens use an arsenal of protein effectors, which display a variety of functions (Kotsaridis et al., 2022). These virulence molecules are secreted in host tissues or injected inside the host cells and target diverse processes, in order to bypass host defense mechanisms (Büttner & Bonas, 2003; Kotsaridis et al., 2022; Sertedakis et al., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Effector structural studies grant valuable insight into effector biology, especially in the context of creating novel strategies against pathogens (Kotsaridis et al., 2022; LeBlanc et al., 2021; Mak & Thurston, 2021). Although the classical techniques for protein structure identification can be difficult and, in some cases impossible, the rapid development of artificial intelligence (AI) software, like AlphaFold, can provide very accurate protein structure prediction (Tunyasuvunakool, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Many pathogens use protein effectors, which reveal a variety of functions. These effectors are injected into the host cells helping pathogens to bypass host defense mechanisms (Büttner and Bonas, 2003; Kotsaridis, Tsakiri and Sarris, 2022; Sertedakis et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…It is well established that effectors’ structural biology studies can be a revealing factor, changing the concept of creating novel strategies against pathogens (LeBlanc et al ., 2021; Mak and Thurston, 2021; Kotsaridis, Tsakiri and Sarris, 2022). Although the classical techniques for protein structure identification can be difficult and, in some cases impossible, the rapid development of artificial intelligence software, like Alphafold, can be very accurate for protein structures’ prediction (Tunyasuvunakool, 2022).…”
Section: Introductionmentioning
confidence: 99%