scholarly journals Orchid Bsister gene PeMADS28 displays conserved function in ovule integument development

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ching-Yu Shen ◽  
You-Yi Chen ◽  
Ke-Wei Liu ◽  
Hsiang-Chia Lu ◽  
Song-Bin Chang ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Protein Interaction ◽  
Ectopic Expression ◽  
Flowering Plants ◽  
Complementation Test ◽  
Ovule Development ◽  
Mads Box ◽  
Temporal Expression ◽  
Protein Protein Interaction ◽  
Silique Length

AbstractThe ovules and egg cells are well developed to be fertilized at anthesis in many flowering plants. However, ovule development is triggered by pollination in most orchids. In this study, we characterized the function of a Bsister gene, named PeMADS28, isolated from Phalaenopsis equestris, the genome-sequenced orchid. Spatial and temporal expression analysis showed PeMADS28 predominantly expressed in ovules between 32 and 48 days after pollination, which synchronizes with integument development. Subcellular localization and protein–protein interaction analyses revealed that PeMADS28 could form a homodimer as well as heterodimers with D-class and E-class MADS-box proteins. In addition, ectopic expression of PeMADS28 in Arabidopsis thaliana induced small curled rosette leaves, short silique length and few seeds, similar to that with overexpression of other species’ Bsister genes in Arabidopsis. Furthermore, complementation test revealed that PeMADS28 could rescue the phenotype of the ABS/TT16 mutant. Together, these results indicate the conserved function of BsisterPeMADS28 associated with ovule integument development in orchid.

scholarly journals Rational design of a stapled JAZ9 peptide inhibiting protein–protein interaction of a plant transcription factor

2021 ◽  
Author(s):  
Kaho Suzuki ◽  
Yousuke Takaoka ◽  
Minoru Ueda
Keyword(s):  
Arabidopsis Thaliana ◽  
Transcription Factor ◽  
Protein Interaction ◽  
Rational Design ◽  
Master Regulators ◽  
Jasmonate Signaling ◽  
Protein Protein Interaction ◽  
Inhibiting Protein

A rationally designed stapled JAZ peptide selectively inhibited MYCs, master-regulators of the jasmonate signaling in Arabidopsis thaliana. It is proposed as a novel chemical tool for the analysis of MYC related jasmonate signaling.

AraPPISite: a database of fine-grained protein–protein interaction site annotations for Arabidopsis thaliana

2016 ◽  
Vol 92 (1-2) ◽  
pp. 105-116 ◽  
Author(s):  
Hong Li ◽  
Shiping Yang ◽  
Chuan Wang ◽  
Yuan Zhou ◽  
Ziding Zhang
Keyword(s):  
Arabidopsis Thaliana ◽  
Protein Interaction ◽  
Interaction Site ◽  
Protein Protein Interaction ◽  
Fine Grained

scholarly journals Evolution of the Telomere-Associated Protein POT1a in Arabidopsis thaliana Is Characterized by Positive Selection to Reinforce Protein–Protein Interaction

2015 ◽  
Vol 32 (5) ◽  
pp. 1329-1341 ◽  
Author(s):  
Mark A. Beilstein ◽  
Kyle B. Renfrew ◽  
Xiangyu Song ◽  
Eugene V. Shakirov ◽  
Michael J. Zanis ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Positive Selection ◽  
Protein Interaction ◽  
Protein Protein Interaction

scholarly journals Identification of Synchronized Role of Transcription Factors, Genes, and Enzymes in Arabidopsis thaliana under Four Abiotic Stress Responsive Pathways

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Samsad Razzaque ◽  
Rabab Mahdi ◽  
Aparna Islam
Keyword(s):  
Arabidopsis Thaliana ◽  
Abiotic Stress ◽  
Protein Interaction ◽  
Abiotic Stresses ◽  
Interaction Model ◽  
Literature Mining ◽  
Extensive Literature ◽  
Abiotic Stress Response ◽  
Protein Protein Interaction ◽  
Microarray Datasets

Microarray datasets are widely used resources to predict and characterize functional entities of the whole genomics. The study initiated here aims to identify overexpressed stress responsive genes using microarray datasets applying in silico approaches. The target also extended to build a protein-protein interaction model of regulatory genes with their upstream and downstream connection in Arabidopsis thaliana. Four microarray datasets generated treating abiotic stresses like salinity, cold, drought, and abscisic acid (ABA) were chosen. Retrieved datasets were firstly filtered based on their expression comparing to control. Filtered datasets were then used to create an expression hub. Extensive literature mining helped to identify the regulatory molecules from the expression hub. The study brought out 42 genes/TF/enzymes as the role player during abiotic stress response. Further bioinformatics study and also literature mining revealed that thirty genes from those forty-two were highly correlated in all four datasets and only eight from those thirty genes were determined as highly responsive to the above abiotic stresses. Later their protein-protein interaction (PPI), conserved sequences, protein domains, and GO biasness were studied. Some web based tools and software like String database, Gene Ontology, InterProScan, NCBI BLASTn suite, etc. helped to extend the study arena.

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