Heterotrimeric G proteins interact with defense-related receptor-like kinases in Arabidopsis

Aranda-Sicilia, María Nieves; Trusov, Yuri; Maruta, Natsumi; Chakravorty, David; Zhang, Yuelin; Botella, José Ramón

doi:10.1016/j.jplph.2015.09.005

Cited by 68 publications

(62 citation statements)

References 57 publications

(53 reference statements)

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“…In our previous research work, we detected heterotrimeric G-protein subunits in rice were phosphorylated to transduct abscisic acid (ABA) and drought stress signal [17,20]. Our research results were consistent with Nakagami et al (2010) and Aranda-Sicilia et al (2015) [16,21]. They also found heterotrimeric G protein subunits were phosphorylated in vivo.…”

Section: Discussionsupporting

confidence: 90%

Impact of SNPs on Protein Phosphorylation Status in Rice (Oryza sativa L.)

Lin

Chen

Huan

et al. 2016

IJMS

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Single nucleotide polymorphisms (SNPs) are widely used in functional genomics and genetics research work. The high-quality sequence of rice genome has provided a genome-wide SNP and proteome resource. However, the impact of SNPs on protein phosphorylation status in rice is not fully understood. In this paper, we firstly updated rice SNP resource based on the new rice genome Ver. 7.0, then systematically analyzed the potential impact of Non-synonymous SNPs (nsSNPs) on the protein phosphorylation status. There were 3,897,312 SNPs in Ver. 7.0 rice genome, among which 9.9% was nsSNPs. Whilst, a total 2,508,261 phosphorylated sites were predicted in rice proteome. Interestingly, we observed that 150,197 (39.1%) nsSNPs could influence protein phosphorylation status, among which 52.2% might induce changes of protein kinase (PK) types for adjacent phosphorylation sites. We constructed a database, SNP_rice, to deposit the updated rice SNP resource and phosSNPs information. It was freely available to academic researchers at . As a case study, we detected five nsSNPs that potentially influenced heterotrimeric G proteins phosphorylation status in rice, indicating that genetic polymorphisms showed impact on the signal transduction by influencing the phosphorylation status of heterotrimeric G proteins. The results in this work could be a useful resource for future experimental identification and provide interesting information for better rice breeding.

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Section: Discussionsupporting

confidence: 90%

Impact of SNPs on Protein Phosphorylation Status in Rice (Oryza sativa L.)

Lin

Chen

Huan

et al. 2016

IJMS

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“…The null mutation 300 of AGB1 or XLG2 partially rescues the seedling lethal phenotypes of defense RLK bir1 301 (brassinosteroid insensitive-associated receptor kinase1-interacting receptor-like kinase1) (Liu 302 et al, 2013;Maruta et al, 2015). GPA1, AGG1 and AGG2 but not AGB1 physically interact with 303 BIR1, BRI1-ASSOCIATED RECEPTOR KINASE (BAK1) and CHITIN ELICITOR RECEPTOR 304 KINASE 1 (CERK1) in split ubiquitin and BiFC assays (Aranda-Sicilia et al, 2015). In addition, 305 both AGB1 and XLG2 bind and stabilize BOTRYTIS-INDUCED KINASE 1 (BIK1) for immune 306 response activation .…”

Section: Co-ip Provides New Insights On the G Protein Interactome 265mentioning

confidence: 99%

The G Protein β-Subunit, AGB1, Interacts with FERONIA in RALF1-Regulated Stomatal Movement

Chakravorty

Assmann

2018

Plant Physiol.

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“…The split-ubiquitin system has been used extensively in plant research to identify interactions of membrane proteins such as G-proteins (Aranda-Sicilia et al, 2015), phosphate transporters (Fontenot et al, 2015), and aquaporins (Besserer et al, 2012;Hachez et al, 2014), potassium channels (Obrdlik et al, 2004), and their interactions with SNARE proteins (Honsbein et al, 2009;Grefen et al, 2015;Zhang et al, 2015), specifically using the vectors modified by Petr Obrdlik and coworkers (Obrdlik et al, 2004). Improvements to the original vector system included increasing the signal-to-noise ratio through introducing a Met-repressible promoter driving the bait Cub fusion (Obrdlik et al, 2004), incorporating cloning sites for in vivo cloning as well as Gateway recombination technology (Obrdlik et al, 2004;Grefen et al, 2007Grefen et al, , 2009, and altering linkers and tags (Grefen and Blatt, 2012b), all of which, together with the development of strains that allow a mating-based approach to be taken (Ludewig et al, 2003), have made the system suitable for high-throughput analysis (Box I; Lalonde et al, 2010;Chen et al, 2012b;Jones et al, 2014).…”

Section: The Split-ubiquitin System: a Full-length Alternativementioning

confidence: 99%

Techniques for the analysis of protein-protein interactions in vivo

et al. 2016

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ORCID ID: 0000-0002-5820-4466 (C.G.).Identifying key players and their interactions is fundamental for understanding biochemical mechanisms at the molecular level. The ever-increasing number of alternative ways to detect protein-protein interactions (PPIs) speaks volumes about the creativity of scientists in hunting for the optimal technique. PPIs derived from single experiments or high-throughput screens enable the decoding of binary interactions, the building of large-scale interaction maps of single organisms, and the establishment of crossspecies networks. This review provides a historical view of the development of PPI technology over the past three decades, particularly focusing on in vivo PPI techniques that are inexpensive to perform and/or easy to implement in a state-of-the-art molecular biology laboratory. Special emphasis is given to their feasibility and application for plant biology as well as recent improvements or additions to these established techniques. The biology behind each method and its advantages and disadvantages are discussed in detail, as are the design, execution, and evaluation of PPI analysis. We also aim to raise awareness about the technological considerations and the inherent flaws of these methods, which may have an impact on the biological interpretation of PPIs. Ultimately, we hope this review serves as a useful reference when choosing the most suitable PPI technique.

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Heterotrimeric G proteins interact with defense-related receptor-like kinases in Arabidopsis

Cited by 68 publications

References 57 publications

Impact of SNPs on Protein Phosphorylation Status in Rice (Oryza sativa L.)

Impact of SNPs on Protein Phosphorylation Status in Rice (Oryza sativa L.)

The G Protein β-Subunit, AGB1, Interacts with FERONIA in RALF1-Regulated Stomatal Movement

Techniques for the analysis of protein-protein interactions in vivo

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