0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Phylogenetic and In Silico Analysis of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Family in Crops
نویسندگان :
Amin Nasirpour
1
Abbasali Emamjomeh
2
Nasibe Chenarani
3
1- Laboratory of Computational Biotechnology and Bioinformatics (CBB), Department of Bioinformatics, Faculty of Basic Sciences, University of Zabol, Zabol, Iran
2- Department of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, Zabol, Iran
3- Post-doctoral researcher، Agricultural Biotechnology Research Institute of IRAN (ABRII), Karaj
کلمات کلیدی :
Phylogenetic Analysis،In Silico Characterization،Transcription Factors،Computational Pipeline
چکیده :
The SQUAMOSA-PROMOTER BINDING PROTEIN-LIKE (SPL) genes represent a crucial transcription factor family in plants. We have developed a systematic bioinformatics pipeline for identification and characterization of SPL gene family in crop plants, using safflower (Carthamus tinctorius L.) as a case study. Our computational workflow combined sequence similarity searches and domain prediction algorithms to identify 44 SBP domain-containing sequences. In silico characterization using machine learning-based approaches revealed diverse protein architectures with sequences ranging from 60 to 7994 amino acids. Motif analysis using MEME identified conserved patterns ranging from 6 to 49 amino acids, while subcellular localization predictions demonstrated nuclear targeting for 60.7% of proteins. Evolutionary relationships were investigated through Maximum Likelihood phylogenetic reconstruction, revealing distinct patterns when compared with model plants like Arabidopsis and rice. Gene Ontology analysis highlighted significant overrepresentation of DNA binding (57.1%) and glycosyltransferase activity (35.7%). This integrative computational framework demonstrates the power of bioinformatics in understanding gene family evolution and can be applied to various crops.
لیست مقالات
لیست مقالات بایگانی شده
Identification of circRNA-miRNA-mRNA Interaction in Myocardial Infarction
Amir Hesam Pahlevani - Ashkan Nazari - Kiarash Zare - Mohammad Ghorbani - Abdolhakim Aalkamel - Mohammad Mehdi Naghizadeh
Expansion and Sequencing of the DNA Code Used in the COVID-19 Vaccine Using Meta-Heuristic Algorithms
Ahmad Aliyari Boroujeni - Mohammadreza Parsayi - Hossein Rahmati
S100a9 might act as a modulator of the Toll-like receptor 4 transduction pathway in chronic rhinosinusitis with nasal polyps
Nasibeh Khayer - Maryam Jalesssi
A Knowledge Graph-Based Approach for Drug Repurposing Using Graph Neural Networks and Language Models
Sajede Fadaei - Mohammad Hasan Hashemi - Mohammad Hossein Rohban - Amir Shamloo
Site-Directed Mutagenesis to Optimize Anti- TIM-3 Antibody Affinity through In-Silico Modeling
Zahra Sohrabi nasr - Mehri Khatami - Mohammad mahdi Heidari
Designing Anti-Cancer Peptides Using Bioinformatics to Inhibit Survivin, Disrupt Cell Division, and Trigger Apoptosis in Cancer Cells
Seyedeh Fatemeh Ahmadi - Hamidreza Samadikhah - Seyed Shahriar Arab
Innovative Biomarkers for Lung Cancer Classification and Prediction Using High-Dimensional Machine Learning: A Novel Approach to Targeted Therapies
Marzie Shadpirouz - Morteza Hadizadeh - Zahra Salehi - Maziyar Veisi - Reza Maddah - Mohammad Shirinpour - Kazem Abbaszadeh-Goudarzi - Kaveh Kavousi
The key role of genes involved in proline biosynthesis and photosynthesis in drought response during Soybean flowering stage
Zeinab Shamabadi - Maryam Pasandideh Arjmand - Mohammad Mohsenzadeh Golfazani - Habibollah Samizadeh lahiji
Phylogenetic and In Silico Analysis of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Family in Crops
Amin Nasirpour - Abbasali Emamjomeh - Nasibe Chenarani
Inhibition of angiogenesis based on the dynamic model of tumor growth using adaptive control method
Mehdi Ghasemi - Adel Akbarimajd - Solmaz Kia
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0