Genome-Scale Bioinformatic Analysis of Mob-Like Proteins in Tomato
Xinyu Na
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China.
Yibing Wang
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China.
Li Li
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China.
Siyao Liu
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China.
Na Cui *
College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China and Key Laboratory of Protected Horticulture of Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People’s Republic of China.
*Author to whom correspondence should be addressed.
Abstract
Aims: The MOB protein family is an evolutionarily highly conserved protein family that participates in the regulation of cell volume and proliferation. However, its function in tomato growth and development remains unclear. Clarifying the properties, structure and protein interaction network of SlMOB proteins is of great significance for exploring the regulatory mechanism of tomato growth and development.
Study Design: To explore the characteristics and potential functions of the tomato SlMOB protein family, we conducted systematic bioinformatics analyses to predict and characterize the SlMOB proteins in Solanum lycopersicum. The results of this study laid a solid foundation for further in-depth exploration of the regulatory role of SlMOB proteins in tomato fruit development and the breeding of high-yield tomato varieties.
Methodology: In this study, bioinformatics methods were used to comprehensively analyze the physicochemical properties, transmembrane structure, subcellular localization, signal peptide, secondary structure, conserved domain, open reading frame, 3D structure, protein interaction relationship and phylogenetic evolution of tomato SlMOB proteins.
Results: The results showed that there were three members of the tomato SlMOB protein family, and all contained 215 amino acids, with no transmembrane regions or signal peptides, and were localized in the cytoplasm and nucleus. The secondary structure was mainly composed of α-helix, and all members contained the conserved Mob1_phocein domain. The 3D models of all SlMOB proteins were constructed with 5twg.1.A as the template, showing high evolutionary conservation. The proteins interacting with SlMOB family members mainly included serine/threonine protein kinase 38-like, serine/threonine protein kinase 39-like and other kinases involved in signal transduction and cell cycle regulation. Phylogenetic tree analysis revealed that tomato SlMOB proteins had a close evolutionary relationship with Camellia sinensis MOB proteins.
Conclusions: The results of this study clarified the basic characteristics and evolutionary relationships of the tomato SlMOB protein family, enriched the information of the MOB protein family in plants, and provided a theoretical basis for further experimental verification of the function of SlMOB proteins and the molecular breeding of high-yield and high-quality tomatoes.
Keywords: Tomato, MOB protein, Bioinformatics, Hippo signal pathway