Rice WRKY13 TF protein binds to motifs in the promoter region to regulate downstream disease resistance-related genes
Reads0
Chats0
TLDR
In this article , the authors used the Perl program algorithm to detect WRKY13 binding motifs (bm) in the promoters of each gene and then selected nine genes reported to have a role in rice disease resistance.Abstract:
Abstract In plants, pathogen resistance is brought about due to the binding of certain transcription factors (TF) proteins to the cis-elements of certain target genes. These cis-elements are present up-stream in the motif of the promoters of each gene. This ensures the binding of a specific transcription factor to a specific promoter, therefore regulating the expression of that gene. Therefore, the study of each promoter sequence of all the rice genes would help identify the target genes of a specific transcription factor. Rice 1kb upstream promoter sequences of 55,986 annotated genes were analyzed using the Perl program algorithm to detect WRKY13 binding motifs (bm). The resulting genes were grouped using gene ontology and gene set enrichment analysis. Gene with more than 4 TFbm in their promoter was selected. Nine genes reported to have a role in rice disease resistance were selected for further analysis. Cis -acting regulatory element analysis was carried out to find the cis-elements and to confirm the presence of the corresponding motifs in the promoter sequences of these genes. The 3D structure of WRKY13 TF and the corresponding nine genes were built and the interacting residues were determined. The binding capacity of WRKY13 to the promoter of these selected genes was analyzed using docking studies. WRKY 13 was also considered for docking analysis based on the prior reports of autoregulation. Molecular dynamic simulations provided more details regarding the interactions. Expression data revealed the expression of the genes that helped to provide the mechanism of interaction. Further co-expression network helped to characterize the interaction of these selected diseases resistance-related genes with WRKY13 TF protein. This study suggests the target downstream genes that are regulated by WRKY13 TF. The molecular mechanism involving the gene network regulated by WRKY13 TF in disease resistance against rice fungal pathogens is explored. read more
References
More filters
Journal ArticleDOI
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
Paul Shannon,Andrew Markiel,Owen Ozier,Nitin S. Baliga,Jonathan T. Wang,Daniel Ramage,Nada Amin,Benno Schwikowski,Trey Ideker +8 more
TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
Journal ArticleDOI
SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling.
Nicolas Guex,Manuel C. Peitsch +1 more
TL;DR: An environment for comparative protein modeling is developed that consists of SWISS‐MODEL, a server for automated comparativeprotein modeling and of the SWiss‐PdbViewer, a sequence to structure workbench that provides a large selection of structure analysis and display tools.
Journal ArticleDOI
The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling
TL;DR: The SWISS-MODEL workspace is a web-based integrated service dedicated to protein structure homology modelling that assists and guides the user in building protein homology models at different levels of complexity.
Journal ArticleDOI
REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms
TL;DR: REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures.
Journal ArticleDOI
UniProt: A hub for protein information
Alex Bateman,Maria Jesus Martin,Claire O'Donovan,Michele Magrane,Rolf Apweiler,Emanuele Alpi,Ricardo Antunes,Joanna Arganiska,Benoit Bely,Mark Bingley,Carlos Bonilla,Ramona Britto,Borisas Bursteinas,Gayatri Chavali,Elena Cibrian-Uhalte,Alan Wilter Sousa da Silva,Maurizio De Giorgi,Tunca Doğan,Francesco Fazzini,Paul Gane,Leyla Jael Garcia Castro,Penelope Garmiri,Emma Hatton-Ellis,Reija Hieta,Rachael P. Huntley,Duncan Legge,W Liu,Jie Luo,Alistair MacDougall,Prudence Mutowo,Andrew Nightingale,Sandra Orchard,Klemens Pichler,Diego Poggioli,Sangya Pundir,Luis Pureza,Guoying Qi,Steven Rosanoff,Rabie Saidi,Tony Sawford,Aleksandra Shypitsyna,Edward Turner,Vladimir Volynkin,Tony Wardell,Xavier Watkins,Hermann Zellner,Andrew Peter Cowley,Luis Figueira,Weizhong Li,Hamish McWilliam,Rodrigo Lopez,Ioannis Xenarios,Lydie Bougueleret,Alan Bridge,Sylvain Poux,Nicole Redaschi,Lucila Aimo,Ghislaine Argoud-Puy,Andrea H. Auchincloss,Kristian B. Axelsen,Parit Bansal,Delphine Baratin,Marie Claude Blatter,Brigitte Boeckmann,Jerven Bolleman,Emmanuel Boutet,Lionel Breuza,Cristina Casal-Casas,Edouard de Castro,Elisabeth Coudert,Béatrice A. Cuche,M Doche,Dolnide Dornevil,Séverine Duvaud,Anne Estreicher,L Famiglietti,Marc Feuermann,Elisabeth Gasteiger,Sebastien Gehant,Vivienne Baillie Gerritsen,Arnaud Gos,Nadine Gruaz-Gumowski,Ursula Hinz,Chantal Hulo,Florence Jungo,Guillaume Keller,Vicente Lara,P Lemercier,Damien Lieberherr,Thierry Lombardot,Xavier D. Martin,Patrick Masson,Anne Morgat,Teresa Batista Neto,Nevila Nouspikel,Salvo Paesano,Ivo Pedruzzi,Sandrine Pilbout,Monica Pozzato,Manuela Pruess,Catherine Rivoire,Bernd Roechert,Michel Schneider,Christian J. A. Sigrist,K Sonesson,S Staehli,Andre Stutz,Shyamala Sundaram,Michael Tognolli,Laure Verbregue,Anne Lise Veuthey,Cathy H. Wu,Cecilia N. Arighi,Leslie Arminski,Chuming Chen,Yongxing Chen,John S. Garavelli,Hongzhan Huang,Kati Laiho,Peter B. McGarvey,Darren A. Natale,Baris E. Suzek,C. R. Vinayaka,Qinghua Wang,Yuqi Wang,Lai-Su L. Yeh,Meher Shruti Yerramalla,Jian Zhang +127 more
TL;DR: An annotation score for all entries in UniProt is introduced to represent the relative amount of knowledge known about each protein to help identify which proteins are the best characterized and most informative for comparative analysis.