{"title":"Comparative analysis of simple sequence repeats and synteny across ten Oryza species: Implications for stress response and genetic diversity","authors":"Zahra Sabili , Sajad Rashidi-Monfard , Reza Haghi , Danial Kahrizi","doi":"10.1016/j.compbiolchem.2025.108379","DOIUrl":null,"url":null,"abstract":"<div><div>Rice is a pivotal food source for most of the global population, necessitating a strategic focus on maximizing its production under diverse conditions through various methods. As molecular markers, simple sequence repeats (SSRs) emerge as instrumental tools in product enhancement and molecular research. This study employs in silico methods to predict the presence of molecular markers across distinct genomic and genic regions within ten <em>Oryza</em> species. Subsequently, we conducted a comprehensive comparison and synteny analysis of common molecular markers shared among most species, particularly those implicated in stress responses, utilizing McscanX. Beyond identifying common SSRs across the ten species under investigation, we delved into the functional analysis of these markers, specifically pinpointing those associated with stress. Additionally, our investigation illustrated the uniform distribution of SSRs along chromosomes and created a physical map showcasing their prevalence. Notably, chromosomes 1, 2, and 3 exhibited a higher density of molecular markers compared to their counterparts. Furthermore, our study highlighted that <em>Oryza glumipatula</em>, <em>Oryza brachyantha, Oryza meridionalis</em>, and <em>Oryza longistaminata</em> species manifested more pronounced differences in SSR markers compared to other <em>Oryza</em> species. The implications of these findings extend to applications in genetic diversity assessment, genetic mapping, and molecular marker-assisted selection breeding, providing valuable insights for future research and development in the field.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"116 ","pages":"Article 108379"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125000398","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Rice is a pivotal food source for most of the global population, necessitating a strategic focus on maximizing its production under diverse conditions through various methods. As molecular markers, simple sequence repeats (SSRs) emerge as instrumental tools in product enhancement and molecular research. This study employs in silico methods to predict the presence of molecular markers across distinct genomic and genic regions within ten Oryza species. Subsequently, we conducted a comprehensive comparison and synteny analysis of common molecular markers shared among most species, particularly those implicated in stress responses, utilizing McscanX. Beyond identifying common SSRs across the ten species under investigation, we delved into the functional analysis of these markers, specifically pinpointing those associated with stress. Additionally, our investigation illustrated the uniform distribution of SSRs along chromosomes and created a physical map showcasing their prevalence. Notably, chromosomes 1, 2, and 3 exhibited a higher density of molecular markers compared to their counterparts. Furthermore, our study highlighted that Oryza glumipatula, Oryza brachyantha, Oryza meridionalis, and Oryza longistaminata species manifested more pronounced differences in SSR markers compared to other Oryza species. The implications of these findings extend to applications in genetic diversity assessment, genetic mapping, and molecular marker-assisted selection breeding, providing valuable insights for future research and development in the field.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.